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Sample records for status predicts pathological

  1. Artificial Neural Networks and Artificial Organisms Can Predict Alzheimer Pathology in Individual Patients Only on The Basis of Cognitive and Functional Status

    PubMed Central

    Buscema, Massimo; Grossi, Enzo; Snowdon, David; Antuono, Piero; Intraligi, Marco; Maurelli, Guido; Savarè, Rita

    2005-01-01

    Data from several studies have pointed out the existence of a strong correlation between Alzheimer's disease (AD) neuropathology and cognitive state. However, because of their highly complex and nonlinear relationship, it has been difficult to develop a predictive model for individual patient classification through traditional statistical approaches. When exposed to complex data sets, artificial neural networks (ANNs) can recognize patterns, learn the relationship of different variables, and address classification tasks. To predict the results of postmortem brain examinations, we applied ANNs to the Nun Study data set, a longitudinal epidemiological study, which includes annual cognitive and functional evaluation. One hundred seventeen subjects from the study participated in this analysis. We determined how demographic data and the cognitive and functional variables of each subject during the last year of her life could predict the presence of brain pathology expressed as Braak stages, neurofibrillary tangles (NFTs) and neuritic plaques (NPs) count in the neocortex and hippocampus, and brain atrophy. The result of this analysis was then compared with traditional statistical models. ANNs proved to be better predictors than Linear Discriminant Analysis in all experimentations (+ ∼10% in overall accuracy), especially when assembled in Artificial Organisms (+ ∼20% in overall accuracy). Demographic, cognitive, and clinical variables were better predictors of tangles count in the neocortex and in the hippocampus when compared to NPs count. These findings strengthen the hypothesis that neurofibrillary pathology may represent the major anatomic substrate of the cognitive impairment found in AD. PMID:15800371

  2. Pathological examination of breast cancer biomarkers: current status in Japan.

    PubMed

    Masuda, Shinobu

    2016-07-01

    This article reviews the current status of pathological evaluation for biomarkers in Japan. The introduced issues are the international trends for estimation of biomarkers considering diagnosis and treatment decision, and pathological issues under discussion, and how Japanese Breast Cancer Society (JBCS) members have addressed issues related to pathology and biomarkers evaluation. As topics of immunohistochemical study, (1) ASCO/CAP guidelines, (2) Ki67 and other markers, (3) quantification and image analysis, (4) application of cytologic samples, (5) pre-analytical process, and (6) Japan Pathology Quality Assurance System are introduced. Various phases of concepts, guidelines, and methodologies are co-existed in today's clinical practice. It is expected in near future that conventional methods and molecular procedures will be emerged, and Japanese Quality assurance/Quality control (QA/QC) system will work practically. What we have to do in the next generation are to validate novel procedures, to evaluate the relationship between traditional concepts and newly proposed ideas, to establish a well organized QA/QC system, and to standardize pre-analytical process that are the basis of all procedures using pathological tissues. PMID:25239167

  3. Current status and future trends in telepathology and digital pathology

    PubMed Central

    Chordia, Trupti Dinesh; Vikey, Ashok; Choudhary, Anuraag B; Samdariya, Yashpal; Chordia, Dipti Samdariya

    2016-01-01

    Objective: The purpose of this study was to assess the current status and future trends in telepathology (TP) and digital pathology (DP) in central India. Materials and Methods: A self-constructed questionnaire including 12 questions was designed with five specialists, to improve the design ambiguity. The study was conducted through postal and online survey consisting of 12 questions and sent to 300 histopathologists. Results: A total of 247 histopathologists answered the survey. The overall response rate was 81%. 98% pathologists felt the need for TP and DP. 34% pathologists used digital photomicrographic images in routine practice. Utilization of DP in most efficient way was observed by 48% pathologists mainly for the purpose of teaching in academic institutions. 82% believed that TP is helpful to take an expert opinion whereas only26% believed that a second opinion has to be taken. With respect to limitations, 67% pathologists believed that its cost-effective whereas 51% revealed high use of TP in next 5 years. Conclusions: Our survey shows that as the field evolves, pathologists are more towards welcoming TP and DP, provided frequent workshops and training programs are conducted. The results of this survey indicates that pathology staff across central India currently utilize gross digital images for educational or academic purposes. They also revealed that technology will be required in near future applications in academics, consultation and for medico-legal purposes. PMID:27601805

  4. Predictive Information: Status or Alert Information?

    NASA Technical Reports Server (NTRS)

    Trujillo, Anna C.; Bruneau, Daniel; Press, Hayes N.

    2008-01-01

    Previous research investigating the efficacy of predictive information for detecting and diagnosing aircraft system failures found that subjects like to have predictive information concerning when a parameter would reach an alert range. This research focused on where the predictive information should be located, whether the information should be more closely associated with the parameter information or with the alert information. Each subject saw 3 forms of predictive information: (1) none, (2) a predictive alert message, and (3) predictive information on the status display. Generally, subjects performed better and preferred to have predictive information available although the difference between status and alert predictive information was minimal. Overall, for detection and recalling what happened, status predictive information is best; however for diagnosis, alert predictive information holds a slight edge.

  5. A Nomogram for Predicting the Pathological Response of Axillary Lymph Node Metastasis in Breast Cancer Patients

    PubMed Central

    Jin, Xi; Jiang, Yi-Zhou; Chen, Sheng; Shao, Zhi-Ming; Di, Gen-Hong

    2016-01-01

    The value of sentinel lymph node biopsy (SLNB) in post-neoadjuvant chemotherapy (NCT) patients is still controversial. We aimed to identify predictors and construct a nomogram for predicting the pathologically complete response (pCR) of axillary lymph nodes (ALNs) after NCT in node positive breast cancer patients. In total, 426 patients with pathologically proven ALN metastasis before NCT were enrolled, randomized 1:1 and divided into a training set and a validation set. We developed a nomogram based on independent predictors for ALN pCR identified by multivariate logistic regression as well as clinical significant predictors. The multivariate logistic regression analysis showed that hormone receptor (HR) status, human epidermal growth factor 2 (HER2) status and Ki67 index were independent predictors. The nomogram was thereby constructed by those independent predictors as well as tumor size and NCT regimens. The areas under the receiver operating characteristic curve of the training set and the validation set were 0.804 and 0.749, respectively. We constructed a nomogram for predicting ALN pCR in patients who received NCT. Our nomogram can improve risk stratification, accurately predict post-NCT ALN status and avoid unnecessary ALN dissection. PMID:27576704

  6. A Nomogram for Predicting the Pathological Response of Axillary Lymph Node Metastasis in Breast Cancer Patients.

    PubMed

    Jin, Xi; Jiang, Yi-Zhou; Chen, Sheng; Shao, Zhi-Ming; Di, Gen-Hong

    2016-01-01

    The value of sentinel lymph node biopsy (SLNB) in post-neoadjuvant chemotherapy (NCT) patients is still controversial. We aimed to identify predictors and construct a nomogram for predicting the pathologically complete response (pCR) of axillary lymph nodes (ALNs) after NCT in node positive breast cancer patients. In total, 426 patients with pathologically proven ALN metastasis before NCT were enrolled, randomized 1:1 and divided into a training set and a validation set. We developed a nomogram based on independent predictors for ALN pCR identified by multivariate logistic regression as well as clinical significant predictors. The multivariate logistic regression analysis showed that hormone receptor (HR) status, human epidermal growth factor 2 (HER2) status and Ki67 index were independent predictors. The nomogram was thereby constructed by those independent predictors as well as tumor size and NCT regimens. The areas under the receiver operating characteristic curve of the training set and the validation set were 0.804 and 0.749, respectively. We constructed a nomogram for predicting ALN pCR in patients who received NCT. Our nomogram can improve risk stratification, accurately predict post-NCT ALN status and avoid unnecessary ALN dissection. PMID:27576704

  7. Pathologic Diagnosis of Pancreatic Adenocarcinoma in the United States: Its Status and Prognostic Value

    PubMed Central

    Qiu, Miaozhen; Qiu, Huijuan; Jin, Ying; Wei, Xiaoli; Zhou, Yixin; Wang, Zixian; Wang, Deshen; Ren, Chao; Luo, Huiyan; Wang, Feng; Zhang, Dongsheng; Wang, Fenghua; Li, Yuhong; Yang, Dajun; Xu, Ruihua

    2016-01-01

    Purpose: Even with the development of new biopsy methods, diagnosis of pancreatic cancer is sometimes without histological evidence. The aim of our study is to find out the status of pancreatic cancer patients who are diagnosed without pathologic confirm and the prognostic value of pathologic diagnosis. Methods: We identified 52,759 pancreatic adenocarcinoma patients from the Surveillance, Epidemiology, and End Results (SEER) database. Logistic regression model was used to identify factors relating to no pathologic diagnosis. Multivariable Cox regression model identified potential prognostic factors. All statistical tests were two-sided. Results: There were 6206 (11.76%) patients without pathologic diagnosis. Older age, reported from nursing/convalescent home/hospice or physician's office/private medical practitioner, early year of diagnosis, larger tumor size, pancreatic head cancer, unmarried patients, uninsured and stage I disease all contributed to no pathologic diagnosis. Median cause specific-survival for patients with and without pathologic diagnosis were 7.72 and 3.52 months, respectively. The HR for pathologic diagnosis was 0.92 (95% CI: 0.89-0.95), P<0.001. Conclusions: Pathologic diagnosis was an independent prognostic factor for pancreatic adenocarcinoma patients. New diagnostic methods are needed to get the pathologic diagnosis. PMID:27076851

  8. Vascular endothelial growth factor from embryonic status to cardiovascular pathology

    PubMed Central

    Azimi-Nezhad, Mohsen

    2014-01-01

    Vascular endothelial growth factor (VEGF) is a multifunctional cytokine with distinct functions in angiogenesis, lymphangiogenesis, vascular permeability, and hematopoiesis. VEGF is a highly conserved, disulfide-bonded dimeric glycoprotein of 34 to 45 kDa produced by several cell types including fibroblasts, neutrophils, endothelial cells, and peripheral blood mononuclear cells, particularly T lymphocytes and macrophages. Six VEGF isoforms are generated as a result of alternative splicing from a single VEGF gene, consisting of 121, 145, 165, 183, 189, or 206 amino acids. VEGF121, VEGF145, and VEGF165 are secreted whereas VEGF183, VEGF189, and VEGF206 are cell membrane-bound. VEGF145 has a key role during the vascularization of the human ovarian follicle and corpus luteum, in the placentation and embryonic periods, and in bone and wound healing, while VEGF165 is the most abundant and biologically active isoform. VEGF has been linked with a number of vascular pathologies including cardiovascular diseases such ischemic heart disease, heart failure, stroke, and diabetes and its related complications. In this review we aimed to present some important roles of VEGF in a number of clinical issues and indicate its involvement in several phenomena from the initial steps of the embryonic period to cardiovascular diseases. PMID:26989723

  9. Tumour morphology predicts PALB2 germline mutation status

    PubMed Central

    Teo, Z L; Provenzano, E; Dite, G S; Park, D J; Apicella, C; Sawyer, S D; James, P A; Mitchell, G; Trainer, A H; Lindeman, G J; Shackleton, K; Cicciarelli, L; Buys, S S; Andrulis, I L; Mulligan, A M; Glendon, G; John, E M; Terry, M B; Daly, M; Odefrey, F A; Nguyen-Dumont, T; Giles, G G; Dowty, J G; Winship, I; Goldgar, D E; Hopper, J L; Southey, M C

    2013-01-01

    Background: Population-based studies of breast cancer have estimated that at least some PALB2 mutations are associated with high breast cancer risk. For women carrying PALB2 mutations, knowing their carrier status could be useful in directing them towards effective cancer risk management and therapeutic strategies. We sought to determine whether morphological features of breast tumours can predict PALB2 germline mutation status. Methods: Systematic pathology review was conducted on breast tumours from 28 female carriers of PALB2 mutations (non-carriers of other known high-risk mutations, recruited through various resources with varying ascertainment) and on breast tumours from a population-based sample of 828 Australian women diagnosed before the age of 60 years (which included 40 BRCA1 and 18 BRCA2 mutation carriers). Tumour morphological features of the 28 PALB2 mutation carriers were compared with those of 770 women without high-risk mutations. Results: Tumours arising in PALB2 mutation carriers were associated with minimal sclerosis (odds ratio (OR)=19.7; 95% confidence interval (CI)=6.0–64.6; P=5 × 10−7). Minimal sclerosis was also a feature that distinguished PALB2 mutation carriers from BRCA1 (P=0.05) and BRCA2 (P=0.04) mutation carriers. Conclusion: This study identified minimal sclerosis to be a predictor of germline PALB2 mutation status. Morphological review can therefore facilitate the identification of women most likely to carry mutations in PALB2. PMID:23787919

  10. Testing the Predictive Validity and Construct of Pathological Video Game Use.

    PubMed

    Groves, Christopher L; Gentile, Douglas; Tapscott, Ryan L; Lynch, Paul J

    2015-01-01

    Three studies assessed the construct of pathological video game use and tested its predictive validity. Replicating previous research, Study 1 produced evidence of convergent validity in 8th and 9th graders (N = 607) classified as pathological gamers. Study 2 replicated and extended the findings of Study 1 with college undergraduates (N = 504). Predictive validity was established in Study 3 by measuring cue reactivity to video games in college undergraduates (N = 254), such that pathological gamers were more emotionally reactive to and provided higher subjective appraisals of video games than non-pathological gamers and non-gamers. The three studies converged to show that pathological video game use seems similar to other addictions in its patterns of correlations with other constructs. Conceptual and definitional aspects of Internet Gaming Disorder are discussed. PMID:26694472

  11. Testing the Predictive Validity and Construct of Pathological Video Game Use

    PubMed Central

    Groves, Christopher L.; Gentile, Douglas; Tapscott, Ryan L.; Lynch, Paul J.

    2015-01-01

    Three studies assessed the construct of pathological video game use and tested its predictive validity. Replicating previous research, Study 1 produced evidence of convergent validity in 8th and 9th graders (N = 607) classified as pathological gamers. Study 2 replicated and extended the findings of Study 1 with college undergraduates (N = 504). Predictive validity was established in Study 3 by measuring cue reactivity to video games in college undergraduates (N = 254), such that pathological gamers were more emotionally reactive to and provided higher subjective appraisals of video games than non-pathological gamers and non-gamers. The three studies converged to show that pathological video game use seems similar to other addictions in its patterns of correlations with other constructs. Conceptual and definitional aspects of Internet Gaming Disorder are discussed. PMID:26694472

  12. Helicopter Rotor Noise Prediction: Background, Current Status, and Future Direction

    NASA Technical Reports Server (NTRS)

    Brentner, Kenneth S.

    1997-01-01

    Helicopter noise prediction is increasingly important. The purpose of this viewgraph presentation is to: 1) Put into perspective the recent progress; 2) Outline current prediction capabilities; 3) Forecast direction of future prediction research; 4) Identify rotorcraft noise prediction needs. The presentation includes an historical perspective, a description of governing equations, and the current status of source noise prediction.

  13. Prediction of axillary lymph node metastases in breast cancer patients based on pathologic information of the primary tumor

    PubMed Central

    Wu, Jia-Long; Tseng, Hsin-Shun; Yang, Li-Heng; Wu, Hwa-Koon; Kuo, Shou-Jen; Chen, Shou-Tung; Chen, Dar-Ren

    2014-01-01

    Background Axillary lymph nodes (ALN) are the most commonly involved site of disease in breast cancer that has spread outside the primary lesion. Although sentinel node biopsy is a reliable way to manage ALN, there are still no good methods of predicting ALN status before surgery. Since morbidity in breast cancer surgery is predominantly related to ALN dissection, predictive models for lymph node involvement may provide a way to alert the surgeon in subgroups of patients. Material/Methods A total of 1325 invasive breast cancer patients were analyzed using tumor biological parameters that included age, tumor size, grade, estrogen receptor, progesterone receptor, lymphovascular invasion, and HER2, to test their ability to predict ALN involvement. A support vector machine (SVM) was used as a classification model. The SVM is a machine-learning system developed using statistical learning theories to classify data points into 2 classes. Notably, SVM models have been applied in bioinformatics. Results The SVM model correctly predicted ALN metastases in 74.7% of patients using tumor biological parameters. The predictive ability of luminal A, luminal B, triple negative, and HER2 subtypes using subgroup analysis showed no difference, and this predictive performance was inferior, with only 60% accuracy. Conclusions With an SVM model based on clinical pathologic parameters obtained in the primary tumor, it is possible to predict ALN status in order to alert the surgeon about breast cancer counseling and in decision-making for ALN management. PMID:24714517

  14. Applications of flow cytometry in plant pathology for genome size determination, detection and physiological status.

    PubMed

    D'Hondt, Liesbet; Höfte, Monica; Van Bockstaele, Erik; Leus, Leen

    2011-10-01

    Flow cytometers are probably the most multipurpose laboratory devices available. They can analyse a vast and very diverse range of cell parameters. This technique has left its mark on cancer, human immunodeficiency virus and immunology research, and is indispensable in routine clinical diagnostics. Flow cytometry (FCM) is also a well-known tool for the detection and physiological status assessment of microorganisms in drinking water, marine environments, food and fermentation processes. However, flow cytometers are seldom used in plant pathology, despite FCM's major advantages as both a detection method and a research tool. Potential uses of FCM include the characterization of genome sizes of fungal and oomycete populations, multiplexed pathogen detection and the monitoring of the viability, culturability and gene expression of plant pathogens, and many others. This review provides an overview of the history, advantages and disadvantages of FCM, and focuses on the current applications and future possibilities of FCM in plant pathology. PMID:21726378

  15. Computer assisted treatment prediction of low back pain pathologies.

    PubMed

    Gal, Norbert; Stoicu-Tivadar, Vasile; Andrei, Diana; Nemeş, Dan Ion; Nădăşan, Emanuela

    2014-01-01

    The paper presents a fuzzy inference system based prediction with the role to determine the appropriate action for patients that presents lower back pain. If not treated correctly lower back pain can degenerate in various diseases. The system infers three possible actions: (1) spinal cord surgery, (2) medication combined with exercises and (3) no action needed. The system takes in consideration the age and sex of the patient, a pain intensity parameter, the metabolic rate of the patient and mobility parameters from the Zebris Mobility device. In total 243 rules have been formulated but only 21% of the rules suggests surgery. The initial results are promising; there is a correlation of 0.83% between the control results and the results from the system. PMID:24743076

  16. Accuracy of conization procedure for predicting pathological parameters of radical hysterectomy in stage Ia2–Ib1 (≤2 cm) cervical cancer

    PubMed Central

    Bai, Huimin; Cao, Dongyan; Yuan, Fang; Wang, Huilan; Xiao, Meizhu; Chen, Jie; Cui, Quancai; Shen, Keng; Zhang, Zhenyu

    2016-01-01

    The accuracy of conization for the prediction of radical hysterectomy (RH) pathological variables in patients with stage Ia2 to Ib1 (≤2 cm) cervical cancer was retrospectively evaluated in the present study. Endocervical or deep resection margin (RM) involvement in the conization specimens was found to be independently associated with residual disease in the hysterectomy specimens (P < 0.001, = 0.003, respectively). When a tumor width of >20 mm in the final RH pathology analysis was predicted by a tumor width of >2 mm or involvement of endocervical or deep RMs in the conization specimens, the sensitivity and negative predictive value (NPV) of conization were 98.2% and 95.2%, respectively. In addition, when deep stromal invasion in the final RH pathology analysis was predicted by deep stromal invasion or involvement of the endocervical or deep RMs in the conization specimens, the sensitivity and NPV of conization were 98.4% and 95.8%, respectively. The sensitivity and NPV of this prediction model for identifying LVSI in the final RH pathology analysis were both 100%. These findings suggest that conization variables and endocervical and deep resection margin statuses can be analyzed to effectively predict RH pathological parameters. PMID:27181832

  17. Fan Noise Prediction: Status and Needs

    NASA Technical Reports Server (NTRS)

    Huff, Dennis L.

    1997-01-01

    The prediction of fan noise is an important part to the prediction of overall turbofan engine noise. Advances in computers and better understanding of the flow physics have allowed researchers to compute sound generation from first principles and rely less on empirical correlations. While progress has been made, there are still many aspects of the problem that need to be explored. This paper presents some recent advances in fan noise prediction and suggests areas that still need further development. Fan noise predictions that support the recommendations are taken from existing publications.

  18. Behavioral Changes Predicting Temporal Changes in Perceived Popular Status

    ERIC Educational Resources Information Center

    Bowker, Julie C.; Rubin, Kenneth H.; Buskirk-Cohen, Allison; Rose-Krasnor, Linda; Booth-LaForce, Cathryn

    2010-01-01

    The primary objectives of this investigation were to determine the extent to which young adolescents are stable in high perceived popular status across the middle school transition and to examine whether changes in social behaviors predict the stability, gain, and loss of perceived popular status after the transition. The sample included 672 young…

  19. Crop status evaluations and yield predictions

    NASA Technical Reports Server (NTRS)

    Haun, J. R.

    1975-01-01

    The growth-environment relationships for greenhouse and field conditions are compared, and the development of growth-prediction models for spring wheat is discussed along with the development of models for predicting the date for spring wheat emergence in North Dakota.

  20. Predicting chemoinsensitivity in breast cancer with 'omics/digital pathology data fusion.

    PubMed

    Savage, Richard S; Yuan, Yinyin

    2016-02-01

    Predicting response to treatment and disease-specific deaths are key tasks in cancer research yet there is a lack of methodologies to achieve these. Large-scale 'omics and digital pathology technologies have led to the need for effective statistical methods for data fusion to extract the most useful patterns from these diverse data types. We present FusionGP, a method for combining heterogeneous data types designed specifically for predicting outcome of treatment and disease. FusionGP is a Gaussian process model that includes a generalization of feature selection for biomarker discovery, allowing for simultaneous, sparse feature selection across multiple data types. Importantly, it can accommodate highly nonlinear structure in the data, and automatically infers the optimal contribution from each input data type. FusionGP compares favourably to several popular classification methods, including the Random Forest classifier, a stepwise logistic regression model and the Support Vector Machine on single data types. By combining gene expression, copy number alteration and digital pathology image data in 119 estrogen receptor (ER)-negative and 345 ER-positive breast tumours, we aim to predict two important clinical outcomes: death and chemoinsensitivity. While gene expression data give the best predictive performance in the majority of cases, the digital pathology data are much better for predicting death in ER cases. Thus, FusionGP is a new tool for selecting informative features from heterogeneous data types and predicting treatment response and prognosis. PMID:26998311

  1. Predicting chemoinsensitivity in breast cancer with ’omics/digital pathology data fusion

    PubMed Central

    Savage, Richard S.; Yuan, Yinyin

    2016-01-01

    Predicting response to treatment and disease-specific deaths are key tasks in cancer research yet there is a lack of methodologies to achieve these. Large-scale ’omics and digital pathology technologies have led to the need for effective statistical methods for data fusion to extract the most useful patterns from these diverse data types. We present FusionGP, a method for combining heterogeneous data types designed specifically for predicting outcome of treatment and disease. FusionGP is a Gaussian process model that includes a generalization of feature selection for biomarker discovery, allowing for simultaneous, sparse feature selection across multiple data types. Importantly, it can accommodate highly nonlinear structure in the data, and automatically infers the optimal contribution from each input data type. FusionGP compares favourably to several popular classification methods, including the Random Forest classifier, a stepwise logistic regression model and the Support Vector Machine on single data types. By combining gene expression, copy number alteration and digital pathology image data in 119 estrogen receptor (ER)-negative and 345 ER-positive breast tumours, we aim to predict two important clinical outcomes: death and chemoinsensitivity. While gene expression data give the best predictive performance in the majority of cases, the digital pathology data are much better for predicting death in ER cases. Thus, FusionGP is a new tool for selecting informative features from heterogeneous data types and predicting treatment response and prognosis. PMID:26998311

  2. Crop status evaluations and yield predictions

    NASA Technical Reports Server (NTRS)

    Haun, J. R.

    1975-01-01

    A model was developed for predicting the day 50 percent of the wheat crop is planted in North Dakota. This model incorporates location as an independent variable. The Julian date when 50 percent of the crop was planted for the nine divisions of North Dakota for seven years was regressed on the 49 variables through the step-down multiple regression procedure. This procedure begins with all of the independent variables and sequentially removes variables that are below a predetermined level of significance after each step. The prediction equation was tested on daily data. The accuracy of the model is considered satisfactory for finding the historic dates on which to initiate yield prediction model. Growth prediction models were also developed for spring wheat.

  3. A correlational approach to predicting operator status

    NASA Technical Reports Server (NTRS)

    Shingledecker, Clark A.

    1988-01-01

    This paper discusses a research approach for identifying and validating candidate physiological and behavioral parameters which can be used to predict the performance capabilities of aircrew and other system operators. In this methodology, concurrent and advance correlations are computed between predictor values and criterion performance measures. Continuous performance and sleep loss are used as stressors to promote performance variation. Preliminary data are presented which suggest dependence of prediction capability on the resource allocation policy of the operator.

  4. Crop status evaluations and yield predictions

    NASA Technical Reports Server (NTRS)

    Haun, J. R.

    1976-01-01

    One phase of the large area crop inventory project is presented. Wheat yield models based on the input of environmental variables potentially obtainable through the use of space remote sensing were developed and demonstrated. By the use of a unique method for visually qualifying daily plant development and subsequent multifactor computer analyses, it was possible to develop practical models for predicting crop development and yield. Development of wheat yield prediction models was based on the discovery that morphological changes in plants are detected and quantified on a daily basis, and that this change during a portion of the season was proportional to yield.

  5. Predicting Engineering Major Status from Mathematics Achievement and Interest Congruence

    ERIC Educational Resources Information Center

    Leuwerke, Wade C.; Robbins, Steven; Sawyer, Richard; Hovland, Michael

    2004-01-01

    This study proposed that precollege students' standardized mathematics achievement score and the congruence between their occupational interests and engineering tasks would predict their second-year retention in college and the stability of their major. Binary response models were used to predict second-year major status (i.e., continue, transfer…

  6. Establishment of the European College of Veterinary Clinical Pathology (ECVCP) and the current status of veterinary clinical pathology in Europe.

    PubMed

    O'Brien, P J; Fournel-Fleury, C; Bolliger, A P; Freeman, K P; Braun, J-P; Archer, J; Paltrinieri, S; Tvedten, H; Polizopoulou, Z S; Jensen, A L; Pastor, J; Lanevschi-Pietersma, A; Thoren-Tolling, K; Schwendenwien, I; Thoresen, S I; Bauer, N B; Ledieu, D; Cerón, J J; Palm, M; Papasouliotis, K; Gaál, T; Vajdovich, P

    2007-12-01

    After 5 years of development, the European College of Veterinary Clinical Pathology (ECVCP) was formally recognized and approved on July 4, 2007 by the European Board of Veterinary Specialisation (EBVS), the European regulatory body that oversees specialization in veterinary medicine and which has approved 23 colleges. The objectives, committees, basis for membership, constitution, bylaws, information brochure and certifying examination of the ECVCP have remained unchanged during this time except as directed by EBVS. The ECVCP declared full functionality based on the following criteria: 1) a critical mass of 65 members: 15 original diplomates approved by the EBVS to establish the ECVCP, 37 de facto diplomates, 7 diplomates certified by examination, and 5 elected honorary members; 2) the development and certification of training programs, laboratories, and qualified supervisors for residents; currently there are 18 resident training programs in Europe; 3) administration of 3 annual board-certifying examinations thus far, with an overall pass rate of 70%; 4) European consensus criteria for assessing the continuing education of specialists every 5 years; 5) organization of 8 annual scientific congresses and a joint journal (with the American Society for Veterinary Clinical Pathology) for communication of scientific research and information; the College also maintains a website, a joint listserv, and a newsletter; 6) collaboration in training and continuing education with relevant colleges in medicine and pathology; 7) development and strict adherence to a constitution and bylaws compliant with the EBVS; and 8) demonstration of compelling rationale, supporting data, and the support of members and other colleges for independence as a specialty college. Formal EBVS recognition of ECVCP as the regulatory body for the science and practice of veterinary clinical pathology in Europe will facilitate growth and development of the discipline and compliance of academic

  7. Early prediction of pathological response in locally advanced rectal cancer based on sequential 18F-FDG PET

    PubMed Central

    HATT, MATHIEU; VAN STIPHOUT, RUUD; LE POGAM, ADRIEN; LAMMERING, GUIDO; VISVIKIS, DIMITRIS; LAMBIN, PHILIPPE

    2016-01-01

    Background The objectives of this study were to investigate the predictive value of sequential 18F-FDG PET scans for pathological tumor response grade (TRG) after preoperative chemoradiotherapy (PCRT) in locally advanced rectal cancer (LARC) and the impact of partial volume effects correction (PVC). Methods Twenty-eight LARC patients were included. Responders and non-responders status were determined in histopathology. PET indices [SUV max and mean, volume and total lesion glycolysis (TLG)] at baseline and their evolution after one and two weeks of PCRT were extracted by delineation of the PET images, with or without PVC. Their predictive value was investigated using Mann-Whitney-U tests and ROC analysis. Results Within baseline parameters, only SUVmean was correlated with response. No evolution after one week was predictive of the response, whereas after two weeks all the parameters except volume were, the best prediction being obtained with TLG (AUC 0.79, sensitivity 63%, specificity 92%). PVC had no significant impact on these results. Conclusion Several PET indices at baseline and their evolution after two weeks of PCRT are good predictors of response in LARC, with or without PVC, whereas results after one week are suboptimal. Best predictor was TLG reduction after two weeks, although baseline SUVmean had smaller but similar predictive power. PMID:22873767

  8. Epidemiologic Profile, Sexual History, Pathologic Features, and Human Papillomavirus Status of 103 Patients with Penile Carcinoma

    PubMed Central

    Chaux, Alcides; Netto, George J.; Rodríguez, Ingrid M.; Barreto, José E.; Oertell, Judith; Ocampos, Sandra; Boggino, Hugo; Codas, Ricardo; Bosch, F. Xavier; de Sanjose, Silvia; Muñoz, Nubia; Hildesheim, Allan; Cubilla, Antonio L.

    2011-01-01

    PURPOSE The incidence of penile cancer is four times higher in Paraguay than in the United States or Europe. There are no adequate scientific explanations for this geographical variation. The goal of this study was to evaluate the interplay among risk factors, morphology of the primary tumor, and HPV status. METHODS Information on socioeconomic status, education level, habits, and sexual history was obtained in 103 Paraguayan patients with penile cancer. All patients were then treated by surgery and specimens were evaluated histopathologically. RESULTS Patients usually dwelled in rural/suburban areas (82%), lived in poverty (75%), had a low education level (91%), and were heavy smokers (76%). Phimosis (57%), moderate/poor hygienic habits (90%), and history of sexually-transmitted diseases (74%) were frequently found. Patients with >10 lifetime female partners had an odds ratio of 3.8 (95% CI 1.1, 12.6; P-trend = .03) for presenting HPV positive tumors when compared to patients with <6 partners. However, this trend was not significant when the number of sexual partners was adjusted for age of first coitus and antecedents of sexually-transmitted diseases. HPV-related tumors (found in 36% of the samples) were characterized by a warty and/or basaloid morphology and high histological grade in most cases. CONCLUSIONS In our series, patients with penile cancer presented a distinctive epidemiological and pathological profile. These data might help explaining the geographical differences in incidence and aid in the design of strategies for cancer control in Paraguay. PMID:22116602

  9. Prognostic Nomogram for Prediction of Axillary Pathologic Complete Response After Neoadjuvant Chemotherapy in Cytologically Proven Node-Positive Breast Cancer.

    PubMed

    Kim, Jee Ye; Park, Hyung Seok; Kim, Sanghwa; Ryu, Jegyu; Park, Seho; Kim, Seung Il

    2015-10-01

    To develop a nomogram predicting probability of axillary pathologic complete response (pCR) in patients with cytologically proven axillary node-positive breast cancer who received neoadjuvant chemotherapy (NAC).The current management of axillary intervention in node-positive breast cancer patients who received NAC is axillary lymph node dissection (ALND) regardless of axillary pCR.We reviewed the records of 415 patients with cytologically proven node-positive breast cancer that were treated with NAC followed by surgery between 2008 and 2012 at Severance Hospital, Yonsei University Health System. Baseline patient and tumor characteristics, chemotherapy regimen, and tumor and nodal responses were analyzed. A nomogram was developed using a binary logistic regression model with a training cohort and validated in an independent cohort of 110 patients.Axillary pCR was achieved in 38.8% of the patients who underwent ALND after NAC. Axillary pCR was associated with initial clinical nodal status, negative estrogen receptor status, positive human epidermal growth factor receptor 2 (HER2) status with trastuzumab, and clinical nodal and tumor responses. A nomogram was developed based on the clinical and statistically significant predictors. It had good discrimination performance (AUC 0.82, 95% CI, 0.78-0.86) and calibration fit. The nomogram was independently validated, indicating the good predictive power of the model (AUC 0.80, 95% CI, 0.72-0.88).Our nomogram might help predict axillary pCR after NAC in patients with initially node-positive breast cancer. Patients with a high probability of achieving axillary pCR could be spared ALND, avoiding postoperative morbidity. PMID:26512562

  10. Behavioral Changes Predicting Temporal Changes in Perceived Popular Status

    PubMed Central

    Bowker, Julie C.; Rubin, Kenneth H.; Buskirk-Cohen, Alison; Rose-Krasnor, Linda; Booth-LaForce, Cathryn

    2009-01-01

    The primary objectives of this investigation were to determine the extent to which young adolescents are stable in high perceived popular status across the middle school transition and to examine whether changes in social behaviors predict the stability, gain, and loss of perceived popular status after the transition. The sample included 672 young adolescents (323 boys) who completed peer-nomination assessments of social behavior and perceived popularity at the end of elementary school (5th grade) and the beginning of middle school (6th grade). Findings indicated that 62 percent of perceived popular adolescents remained stable in their high popular status across the middle school transition. Multinomial logistic regression analyses revealed that a combination of aggression and arrogance/conceit was associated with stable and newly-gained perceived popular status after the middle school transition. Taken together, findings highlight the significance of contextual and temporal changes in adolescents’ perceived popular status. PMID:20209113

  11. Impact of rapamycin on status epilepticus induced hippocampal pathology and weight gain.

    PubMed

    Hester, Michael S; Hosford, Bethany E; Santos, Victor R; Singh, Shatrunjai P; Rolle, Isaiah J; LaSarge, Candi L; Liska, John P; Garcia-Cairasco, Norberto; Danzer, Steve C

    2016-06-01

    Growing evidence implicates the dentate gyrus in temporal lobe epilepsy (TLE). Dentate granule cells limit the amount of excitatory signaling through the hippocampus and exhibit striking neuroplastic changes that may impair this function during epileptogenesis. Furthermore, aberrant integration of newly-generated granule cells underlies the majority of dentate restructuring. Recently, attention has focused on the mammalian target of rapamycin (mTOR) signaling pathway as a potential mediator of epileptogenic change. Systemic administration of the mTOR inhibitor rapamycin has promising therapeutic potential, as it has been shown to reduce seizure frequency and seizure severity in rodent models. Here, we tested whether mTOR signaling facilitates abnormal development of granule cells during epileptogenesis. We also examined dentate inflammation and mossy cell death in the dentate hilus. To determine if mTOR activation is necessary for abnormal granule cell development, transgenic mice that harbored fluorescently-labeled adult-born granule cells were treated with rapamycin following pilocarpine-induced status epilepticus. Systemic rapamycin effectively blocked phosphorylation of S6 protein (a readout of mTOR activity) and reduced granule cell mossy fiber axon sprouting. However, the accumulation of ectopic granule cells and granule cells with aberrant basal dendrites was not significantly reduced. Mossy cell death and reactive astrocytosis were also unaffected. These data suggest that anti-epileptogenic effects of mTOR inhibition may be mediated by mechanisms other than inhibition of these common dentate pathologies. Consistent with this conclusion, rapamycin prevented pathological weight gain in epileptic mice, suggesting that rapamycin might act on central circuits or even peripheral tissues controlling weight gain in epilepsy. PMID:26995324

  12. Subjective Social Status Predicts Smoking Abstinence Among Light Smokers

    PubMed Central

    Whembolua, Guy-Lucien; Davis, Julia T.; Reitzel, Lorraine R.; Guo, Hongfei; Thomas, Janet L.; Goldade, Kate R.; Okuyemi, Kola S.; Ahluwalia, Jasjit S.

    2015-01-01

    Objectives To determine if community subjective social status (SSS) predicted smoking abstinence through 26 weeks postrandomization among 755 African American light smokers of low SES (socioeconomic status). Methods Participants were enrolled in a double-blind, placebo-controlled, randomized clinical trial, which examined the efficacy of nicotine gum and counseling for smoking cessation. Results Results indicated that SSS predicted smoking abstinence over time [P=.046; odds ratio (OR) =1.075 (1.001–1.155)] after adjusting for covariates. Conclusions Further research is needed to understand the effects of community SSS on smoking cessation among heavy smokers and other ethnic groups. PMID:22584091

  13. Preference for high status predicts implicit outgroup bias among children from low-status groups.

    PubMed

    Newheiser, Anna-Kaisa; Dunham, Yarrow; Merrill, Anna; Hoosain, Leah; Olson, Kristina R

    2014-04-01

    Whereas members of high-status racial groups show ingroup preference when attitudes are measured implicitly, members of low-status racial groups--both adults and children--typically show no bias, potentially reflecting awareness of the ingroup's low status. We hypothesized that when status differences are especially pronounced, children from low-status groups would show an implicit outgroup bias, the strength of which might relate to attitudes toward status. We tested these predictions among 6- to 11-year-old Black and Coloured (i.e., multiracial) children from South Africa, a country marked by extreme status differentials among racial groups. As a measure of implicit intergroup bias, children (N = 78) completed an Implicit Association Test (IAT), a speeded categorization task that assesses the relative strength of association between 2 target groups (in the present study, either Whites vs. Blacks or Whites vs. Coloureds) and positive vs. negative evaluation. Children also completed explicit (i.e., self-report) measures of attitudes toward racial groups as well as toward rich and poor people (a measure of attitudes toward status). Both groups of children showed an implicit outgroup-favoring (i.e., pro-White) bias, suggesting that children were sensitive to the extent of status differences. The only instance in which implicit pro-White bias did not emerge involved Black children's evaluations of Whites vs. Coloureds, both higher-status outgroups. Explicit preference for high status predicted implicit pro-White bias, particularly when the IAT contrasted 2 outgroups. The impact of status on the development of implicit and explicit intergroup bias is discussed. PMID:24219317

  14. Preference for High Status Predicts Implicit Outgroup Bias among Children from Low-Status Groups

    PubMed Central

    Newheiser, Anna-Kaisa; Dunham, Yarrow; Merrill, Anna; Hoosain, Leah; Olson, Kristina R.

    2014-01-01

    Whereas members of high-status racial groups show ingroup preference when attitudes are measured implicitly, members of low-status racial groups – both adults and children – typically show no bias, potentially reflecting awareness of the ingroup’s low status. We hypothesized that when status differences are especially pronounced, children from low-status groups would show an implicit outgroup bias, the strength of which might relate to attitudes toward status. We tested these predictions among 6–11-year-old Black and Coloured (i.e., multiracial) children from South Africa, a country marked by extreme status differentials among racial groups. As a measure of implicit intergroup bias, children (N=78) completed an Implicit Association Test, a speeded categorization task that assesses the relative strength of association between two target groups (in the present study, either Whites vs. Blacks or Whites vs. Coloureds) and positive versus negative evaluation. Children also completed explicit (i.e., self-report) measures of attitudes toward racial groups, as well as rich and poor people (a measure of attitudes toward status). Both groups of children showed an implicit outgroup-favoring (i.e., pro-White) bias, suggesting that children were sensitive to the extent of status differences. The only instance in which implicit pro-White bias did not emerge involved Black children’s evaluations of Whites versus Coloureds, both higher-status outgroups. Explicit preference for high status predicted implicit pro-White bias, particularly when the IAT contrasted two outgroups. The impact of status on the development of implicit and explicit intergroup bias is discussed. PMID:24219317

  15. Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction

    NASA Astrophysics Data System (ADS)

    Yip, Stephen S. F.; Coroller, Thibaud P.; Sanford, Nina N.; Huynh, Elizabeth; Mamon, Harvey; Aerts, Hugo J. W. L.; Berbeco, Ross I.

    2016-01-01

    Change in PET-based textural features has shown promise in predicting cancer response to treatment. However, contouring tumour volumes on longitudinal scans is time-consuming. This study investigated the usefulness of contour propagation in texture analysis for the purpose of pathologic response prediction in esophageal cancer. Forty-five esophageal cancer patients underwent PET/CT scans before and after chemo-radiotherapy. Patients were classified into responders and non-responders after the surgery. Physician-defined tumour ROIs on pre-treatment PET were propagated onto the post-treatment PET using rigid and ten deformable registration algorithms. PET images were converted into 256 discrete values. Co-occurrence, run-length, and size zone matrix textures were computed within all ROIs. The relative difference of each texture at different treatment time-points was used to predict the pathologic responders. Their predictive value was assessed using the area under the receiver-operating-characteristic curve (AUC). Propagated ROIs from different algorithms were compared using Dice similarity index (DSI). Contours propagated by the fast-demons, fast-free-form and rigid algorithms did not fully capture the high FDG uptake regions of tumours. Fast-demons propagated ROIs had the least agreement with other contours (DSI  =  58%). Moderate to substantial overlap were found in the ROIs propagated by all other algorithms (DSI  =  69%-79%). Rigidly propagated ROIs with co-occurrence texture failed to significantly differentiate between responders and non-responders (AUC  =  0.58, q-value  =  0.33), while the differentiation was significant with other textures (AUC  =  0.71‒0.73, p  <  0.009). Among the deformable algorithms, fast-demons (AUC  =  0.68‒0.70, q-value  <  0.03) and fast-free-form (AUC  =  0.69‒0.74, q-value  <  0.04) were the least predictive. ROIs propagated by all other

  16. Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction.

    PubMed

    Yip, Stephen S F; Coroller, Thibaud P; Sanford, Nina N; Huynh, Elizabeth; Mamon, Harvey; Aerts, Hugo J W L; Berbeco, Ross I

    2016-01-21

    Change in PET-based textural features has shown promise in predicting cancer response to treatment. However, contouring tumour volumes on longitudinal scans is time-consuming. This study investigated the usefulness of contour propagation in texture analysis for the purpose of pathologic response prediction in esophageal cancer. Forty-five esophageal cancer patients underwent PET/CT scans before and after chemo-radiotherapy. Patients were classified into responders and non-responders after the surgery. Physician-defined tumour ROIs on pre-treatment PET were propagated onto the post-treatment PET using rigid and ten deformable registration algorithms. PET images were converted into 256 discrete values. Co-occurrence, run-length, and size zone matrix textures were computed within all ROIs. The relative difference of each texture at different treatment time-points was used to predict the pathologic responders. Their predictive value was assessed using the area under the receiver-operating-characteristic curve (AUC). Propagated ROIs from different algorithms were compared using Dice similarity index (DSI). Contours propagated by the fast-demons, fast-free-form and rigid algorithms did not fully capture the high FDG uptake regions of tumours. Fast-demons propagated ROIs had the least agreement with other contours (DSI = 58%). Moderate to substantial overlap were found in the ROIs propagated by all other algorithms (DSI = 69%-79%). Rigidly propagated ROIs with co-occurrence texture failed to significantly differentiate between responders and non-responders (AUC = 0.58, q-value = 0.33), while the differentiation was significant with other textures (AUC = 0.71-0.73, p < 0.009). Among the deformable algorithms, fast-demons (AUC = 0.68-0.70, q-value < 0.03) and fast-free-form (AUC = 0.69-0.74, q-value < 0.04) were the least predictive. ROIs propagated by all other deformable algorithms with any texture significantly predicted pathologic responders (AUC = 0.72-0.78, q

  17. Perceived Attributes Predict Course Management System Adopter Status

    ERIC Educational Resources Information Center

    Keesee, Gayla S.; Shepard, MaryFriend

    2011-01-01

    This quantitative, nonexperimental study utilized Rogers's diffusion of innovation theory as the theoretical base to determine instructors' perceptions of the attributes (relative advantage, compatibility, complexity, trialability, observability) of the course management system used in order to predict adopter status. The study used a convenience…

  18. Predicting problematic alcohol use with the DSM-5 alternative model of personality pathology.

    PubMed

    Creswell, Kasey G; Bachrach, Rachel L; Wright, Aidan G C; Pinto, Anthony; Ansell, Emily

    2016-01-01

    High comorbidity between personality disorders and alcohol use disorders appears related to individual differences in underlying personality dimensions of behavioral undercontrol and affective dysregulation. However, very little is known about how the Diagnostic and Statistical Manual of Mental Disorders (5th edition; DSM-5) Section III trait model of personality pathology relates to alcohol problems or how the strength of the relationship between personality pathology and alcohol problems changes with age and across gender. The current study examined these questions in a sample of 877 participants using the General Assessment of Personality Disorder to assess general personality dysfunction, the Personality Inventory for DSM-5 to measure specific traits, and the Alcohol Use Disorder Identification Test (AUDIT) to assess problematic alcohol use. Results demonstrated that general personality pathology (Criterion A) was significantly related to problematic alcohol use after controlling for age and gender effects. Furthermore, 2 of the 5 higher-order personality trait domains (Criterion B), Antagonism and Disinhibition, remained significant predictors of problematic alcohol use after accounting for the influence of general personality pathology; however, general personality pathology no longer predicted hazardous alcohol use once Antagonism and Disinhibition were added into the model. Finally, these 2 specific traits interacted with age, such that Antagonism was a stronger predictor of AUDIT scores among older individuals and Disinhibition was a stronger predictor of alcohol problems among younger individuals. Findings support the general validity of this new personality disorder diagnostic system and suggest important age effects in the relationship between traits and problematic alcohol use. (PsycINFO Database Record PMID:26389625

  19. Pathological Gamblers Respond Equally Well to Cognitive-Behavioral Therapy Regardless of Other Mental Health Treatment Status

    PubMed Central

    Champine, Robey B.; Petry, Nancy M.

    2010-01-01

    Data consistently demonstrate comorbidity between pathological gambling and psychiatric disorders. This study compares severity of gambling and psychosocial problems and gambling treatment outcomes in treatment-seeking pathological gamblers (N = 231) based on their self-reported mental health treatment utilization. As expected, participants currently receiving mental health treatment demonstrated the most psychiatric problems, and those with no mental health treatment the least. Although preferred gambling activity differed according to mental health treatment status, severity of gambling problems and gambling treatment outcomes did not. Individual cognitive-behavioral therapy was efficacious in reducing gambling problems irrespective of mental health treatment utilization. PMID:20958852

  20. Prediction of pathological complete response of breast cancer patients undergoing neoadjuvant chemotherapy: usefulness of breast MRI computer-aided detection

    PubMed Central

    Kim, H; Park, J S; Shin, H J; Cha, J H; Chae, E Y; Choi, W J

    2014-01-01

    Objective: To evaluate the usefulness of MR computer-aided detection (CAD) in patients undergoing neoadjuvant chemotherapy for prediction of the pathological complete response of tumours. Methods: 148 patients with breast cancer (mean age, 47.3 years; range, 29–72 years) who underwent neoadjuvant chemotherapy were included in our study. They underwent MRI before and after neoadjuvant chemotherapy, and we reviewed the pathological result as the gold standard. The computer-generated kinetic features for each lesion were recorded, and the features analysed included “threshold enhancement” at 50% and 100% minimum thresholds; degree of initial peak enhancement; and enhancement profiles comprising lesion percentages of washout, plateau and persistent enhancement. The final pathological size and character of tumours were correlated with post-chemotherapy mammography, ultrasonography and MR CAD findings. Kruskal–Wallis test and intraclass correlation coefficient were used to analyse the findings. Results: We divided the 148 patients into complete pathological response and non-complete pathological response groups. A complete pathological response was defined as no histopathological evidence of any residual invasive cancer cells in the breast or axillary lymph nodes. 39 patients showed complete pathological response, and 109 patients showed non-complete pathological response. Between enhancement profiles of MR CAD, plateau proportion of tumours was significantly correlated with the pathological response of tumours (mean proportion of plateau on complete pathological response group was 27%, p = 0.007). Conclusion: When plateau proportion of tumours is high, we can predict non-complete pathological response of neoadjuvant chemotherapy. Advances in knowledge: MR CAD can be a useful tool for the assessment of response to neoadjuvant chemotherapy and prediction of pathological results. PMID:25162970

  1. Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using sparse logistic regression.

    PubMed

    Hu, Wei

    2013-01-01

    We utilised Sparse Logistic Regression (SLR) to build two sparse and interpretable predictors. The first one (SLR-65) was based on a signature consisting of the top 65 probe sets (59 genes) differentially expressed between Pathologic Complete Response (PCR) and Residual Disease (RD) cases, and the second one (SLR-Notch) was based on the genes involved in the Notch singling related pathways (113 genes). The two predictors produced better predictions than the predictor in a previous study. The SLR-65 selected 16 informative genes and the SLR-Notch selected 12 informative genes. PMID:23649738

  2. Clinical Parameters Predicting Pathologic Tumor Response After Preoperative Chemoradiotherapy for Rectal Cancer

    SciTech Connect

    Yoon, Sang Min; Kim, Dae Yong Kim, Tae Hyun; Jung, Kyung Hae; Chang, Hee Jin; Koom, Woong Sub; Lim, Seok-Byung; Choi, Hyo Seong; Jeong, Seung-Yong; Park, Jae-Gahb

    2007-11-15

    Purpose: To identify pretreatment clinical parameters that could predict pathologic tumor response to preoperative chemoradiotherapy (CRT) for rectal cancer. Methods and Materials: The study involved 351 patients who underwent preoperative CRT followed by surgery between October 2001 and July 2006. Tumor responses to preoperative CRT were assessed in terms of tumor downstaging and tumor regression. Statistical analyses were performed to identify clinical factors associated with pathologic tumor response. Results: Tumor downstaging (defined as ypT2 or less) was observed in 167 patients (47.6%), whereas tumor regression (defined as Dworak's Regression Grades 3 or 4) was observed in 103 patients (29.3%) and complete regression in 51 patients (14.5%). Multivariate analysis found that predictors of downstaging were pretreatment hemoglobin level (p = 0.045), cN0 classification (p < 0.001), and serum carcinoembryonic antigen (CEA) level (p < 0.001), that predictors of tumor regression were cN0 classification (p = 0.044) and CEA level (p < 0.001), and that the predictor of complete regression was CEA level (p = 0.004). Conclusions: The data suggest that pretreatment CEA level is the most important clinical predictor of pathologic tumor response. It may be of benefit in the selection of treatment options as well as the assessment of individual prognosis.

  3. Molecular damage in Fabry disease: characterization and prediction of alpha-galactosidase A pathological mutations.

    PubMed

    Riera, Casandra; Lois, Sergio; Domínguez, Carmen; Fernandez-Cadenas, Israel; Montaner, Joan; Rodríguez-Sureda, Victor; de la Cruz, Xavier

    2015-01-01

    Loss-of-function mutations of the enzyme alpha-galactosidase A (GLA) causes Fabry disease (FD), that is a rare and potentially fatal disease. Identification of these pathological mutations by sequencing is important because it allows an early treatment of the disease. However, before taking any treatment decision, if the mutation identified is unknown, we first need to establish if it is pathological or not. General bioinformatic tools (PolyPhen-2, SIFT, Condel, etc.) can be used for this purpose, but their performance is still limited. Here we present a new tool, specifically derived for the assessment of GLA mutations. We first compared mutations of this enzyme known to cause FD with neutral sequence variants, using several structure and sequence properties. Then, we used these properties to develop a family of prediction methods adapted to different quality requirements. Trained and tested on a set of known Fabry mutations, our methods have a performance (Matthews correlation: 0.56-0.72) comparable or better than that of the more complex method, Polyphen-2 (Matthews correlation: 0.61), and better than those of SIFT (Matthews correl.: 0.54) and Condel (Matthews correl.: 0.51). This result is validated in an independent set of 65 pathological mutations, for which our method displayed the best success rate (91.0%, 87.7%, and 73.8%, for our method, PolyPhen-2 and SIFT, respectively). These data confirmed that our specific approach can effectively contribute to the identification of pathological mutations in GLA, and therefore enhance the use of sequence information in the identification of undiagnosed Fabry patients. PMID:25382311

  4. Pathology Features in Bethesda Guidelines Predict Colorectal Cancer Microsatellite Instability: A Population-Based Study

    PubMed Central

    Jenkins, Mark A.; Hayashi, Shinichi; O’shea, Anne-Marie; Burgart, Lawrence J.; Smyrk, Tom C.; Shimizu, David; Waring, Paul M.; Ruszkiewicz, Andrew R.; Pollett, Aaron F.; Redston, Mark; Barker, Melissa A.; Baron, John A.; Casey, Graham R.; Dowty, James G.; Giles, Graham G.; Limburg, Paul; Newcomb, Polly; Young, Joanne P.; Walsh, Michael D.; Thibodeau, Stephen N.; Lindor, Noralane M.; Lemarchand, Loïc; Gallinger, Steven; Haile, Robert W.; Potter, John D.; Hopper, John L.; Jass, Jeremy R.

    2010-01-01

    Background & Aims The revised Bethesda guidelines for Lynch syndrome recommend microsatellite instability (MSI) testing all colorectal cancers in patients diagnosed before age 50 years and colorectal cancers diagnosed in patients between ages 50 and 59 years with particular pathology features. Our aim was to identify pathology and other features that independently predict high MSI (MSI-H). Methods Archival tissue from 1098 population-based colorectal cancers diagnosed before age 60 years was tested for MSI. Pathology features, site, and age at diagnosis were obtained. Multiple logistic regression was performed to determine the predictive value of each feature, as measured by an odds ratio (OR), from which a scoring system (MsPath) was developed to estimate the probability a colorectal cancer is MSI-H. Results Fifteen percent of tumors (162) were MSI-H. Independent predictors were tumor-infiltrating lymphocytes (OR, 9.1; 95% confidence interval [CI], 5.9 –14.1), proximal subsite (OR, 4.7; 95% CI, 3.1–7.3), mucinous histology (OR, 2.8; 95% CI, 1.7– 4.8), poor differentiation (OR, 1.9; 95% CI, 1.2–3.1), Crohn’s-like reaction (OR, 1.9; 95% CI, 1.2–2.9), and diagnosis before age 50 years (OR, 1.9; 95% CI, 1.3–2.9). MsPath score ≥ 1.0 had a sensitivity of 93% and a specificity of 55% for MSI-H. Conclusions The probability an individual colorectal cancer is MSI-H is predicted well by the MsPath score. There is little value in testing for DNA mismatch repair loss in tumors, or for germline mismatch repair mutations, for colorectal cancers diagnosed in patients before age 60 years with an MSPath score <1 (approximately 50%). Pathology can identify almost all MSI-H colorectal cancers diagnosed before age 60 years. PMID:17631130

  5. Status of research aimed at predicting structural integrity

    SciTech Connect

    Reuter, W.G.

    1997-12-31

    Considerable research has been performed throughout the world on measuring the fracture toughness of metals. The existing capability fills the need encountered when selecting materials, thermal-mechanical treatments, welding procedures, etc., but cannot predict the fracture process of structural components containing cracks. The Idaho National Engineering and Environmental Laboratory and the Massachusetts Institute of Technology have been collaborating for a number of years on developing capabilities for using fracture toughness results to predict structural integrity. Because of the high cost of fabricating and testing structural components, these studies have been limited to predicting the fracture process in specimens containing surface cracks. This paper summarizes the present status of the experimental studies of using fracture toughness data to predict crack growth initiation in specimens (structural components) containing surface cracks. These results are limited to homogeneous base materials.

  6. Exploration of pathological prediction of chronic kidney diseases by a novel theory of bi-directional probability.

    PubMed

    Yang, Yuan; Luo, Min; Xiao, Li; Zhu, Xue-Jing; Wang, Chang; Fu, Xiao; Yuan, Shu-Guang; Xiao, Fang; Liu, Hong; Dong, Zheng; Liu, Fu-You; Sun, Lin

    2016-01-01

    In the clinic, the pathological types of chronic kidney diseases (CKD) are considered references for choosing treatment protocols. From a statistical viewpoint, a non-invasive method to predict pathological types of CKD is a focus of our work. In the current study, following a frequency analysis of the clinical indices of 588 CKD patients in the department of nephrology, a third-grade class-A hospital, a novel theory is proposed: "bi-directional cumulative probability dichotomy". Further, two models for the prediction and differential diagnosis of CKD pathological type are established. The former indicates an occurrence probability of the pathological types, and the latter indicates an occurrence of CKD pathological type according to logistic binary regression. To verify the models, data were collected from 135 patients, and the results showed that the highest accuracy rate on membranous nephropathy (MN-100%), followed by IgA nephropathy (IgAN-83.33%) and mild lesion type (MLN-73.53%), whereas lower prediction accuracy was observed for mesangial proliferative glomerulonephritis (0%) and focal segmental sclerosis type (21.74%). The models of bi-directional probability prediction and differential diagnosis indicate a good prediction value in MN, IgAN and MLN and may be considered alternative methods for the pathological discrimination of CKD patients who are unable to undergo renal biopsy. PMID:27557856

  7. Exploration of pathological prediction of chronic kidney diseases by a novel theory of bi-directional probability

    PubMed Central

    Yang, Yuan; Luo, Min; Xiao, Li; Zhu, Xue-jing; Wang, Chang; Fu, Xiao; Yuan, Shu-guang; Xiao, Fang; Liu, Hong; Dong, Zheng; Liu, Fu-you; Sun, Lin

    2016-01-01

    In the clinic, the pathological types of chronic kidney diseases (CKD) are considered references for choosing treatment protocols. From a statistical viewpoint, a non-invasive method to predict pathological types of CKD is a focus of our work. In the current study, following a frequency analysis of the clinical indices of 588 CKD patients in the department of nephrology, a third-grade class-A hospital, a novel theory is proposed: “bi-directional cumulative probability dichotomy”. Further, two models for the prediction and differential diagnosis of CKD pathological type are established. The former indicates an occurrence probability of the pathological types, and the latter indicates an occurrence of CKD pathological type according to logistic binary regression. To verify the models, data were collected from 135 patients, and the results showed that the highest accuracy rate on membranous nephropathy (MN-100%), followed by IgA nephropathy (IgAN-83.33%) and mild lesion type (MLN-73.53%), whereas lower prediction accuracy was observed for mesangial proliferative glomerulonephritis (0%) and focal segmental sclerosis type (21.74%). The models of bi-directional probability prediction and differential diagnosis indicate a good prediction value in MN, IgAN and MLN and may be considered alternative methods for the pathological discrimination of CKD patients who are unable to undergo renal biopsy. PMID:27557856

  8. Analysis of Surgical Pathology Data in the HIRA Database: Emphasis on Current Status and Endoscopic Submucosal Dissection Specimens

    PubMed Central

    Byeon, Sun-ju; Kim, Woo Ho

    2016-01-01

    Background: In Korea, medical institutions make claims for insurance reimbursement to the Health Insurance Review and Assessment Service (HIRA). Thus, HIRA databases reflect the general medical services that are provided in Korea. We conducted two pathology-related studies using a HIRA national patient sample (NPS) data (selection probability, 0.03). First, we evaluated the current status of general pathologic examination in Korea. Second, we evaluated pathologic issues associated with endoscopic submucosal dissection (ESD). Methods: The sample data used in this study was HIRA-NPS-2013-0094. Results: In the NPS dataset, 163,372 pathologic examinations were performed in 103,528 patients during the year 2013. Considering sampling weight (33.3), it is estimated that 5,440,288 (163,372 × 33.3) pathologic examinations were performed. Internal medicine and general surgery were the most common departments requesting pathologic examinations. The region performing pathologic examinations were different according to type of medical institution. In total, 490 patients underwent ESD, and 43.4% (213/490) underwent ESD due to gastric carcinoma. The results of the ESD led to a change in disease code for 10.5% (29/277) of non-gastric carcinoma patients. In addition, 21 patients (4.3%) underwent surgery following the ESD. The average period between ESD and surgery was 44 days. Conclusions: HIRA sample data provide the nation-wide landscape of specific procedure. However, in order to reduce the statistical error, further studies using entire HIRA data are needed. PMID:27040517

  9. Pilot Mental Workload with Predictive System Status Information

    NASA Technical Reports Server (NTRS)

    Trujillo, Anna C.

    1998-01-01

    Research has shown a strong pilot preference for predictive information of aircraft system status in the flight deck. However, the mental workload associated with using this predictive information has not been ascertained. The study described here attempted to measure mental workload. In this simulator experiment, three types of predictive information (none, whether a parameter was changing abnormally, and the time for a parameter to reach an alert range) and four initial times to a parameter alert range (1 minute, 5 minutes, 15 minutes, and ETA+45 minutes) were tested to determine their effects on subjects mental workload. Subjective workload ratings increased with increasing predictive information (whether a parameter was changing abnormally or the time for a parameter to reach an alert range). Subjective situation awareness decreased with more predictive information but it became greater with increasing initial times to a parameter alert range. Also, subjective focus changed depending on the type of predictive information. Lastly, skin temperature fluctuated less as the initial time to a parameter alert range increased.

  10. Changes in Pilot Behavior with Predictive System Status Information

    NASA Technical Reports Server (NTRS)

    Trujillo, Anna C.

    1998-01-01

    Research has shown a strong pilot preference for predictive information of aircraft system status in the flight deck. However, changes in pilot behavior associated with using this predictive information have not been ascertained. The study described here quantified these changes using three types of predictive information (none, whether a parameter was changing abnormally, and the time for a parameter to reach an alert range) and three initial time intervals until a parameter alert range was reached (ITIs) (1 minute, 5 minutes, and 15 minutes). With predictive information, subjects accomplished most of their tasks before an alert occurred. Subjects organized the time they did their tasks by locus-of-control with no predictive information and for the 1-minute ITI, and by aviatenavigate-communicate for the time for a parameter to reach an alert range and the 15-minute conditions. Overall, predictive information and the longer ITIs moved subjects to performing tasks before the alert actually occurred and had them more mission oriented as indicated by their tasks grouping of aviate-navigate-communicate.

  11. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.

    PubMed

    Yu, Kun-Hsing; Zhang, Ce; Berry, Gerald J; Altman, Russ B; Ré, Christopher; Rubin, Daniel L; Snyder, Michael

    2016-01-01

    Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is indispensable for its diagnosis. However, human evaluation of pathology slides cannot accurately predict patients' prognoses. In this study, we obtain 2,186 haematoxylin and eosin stained histopathology whole-slide images of lung adenocarcinoma and squamous cell carcinoma patients from The Cancer Genome Atlas (TCGA), and 294 additional images from Stanford Tissue Microarray (TMA) Database. We extract 9,879 quantitative image features and use regularized machine-learning methods to select the top features and to distinguish shorter-term survivors from longer-term survivors with stage I adenocarcinoma (P<0.003) or squamous cell carcinoma (P=0.023) in the TCGA data set. We validate the survival prediction framework with the TMA cohort (P<0.036 for both tumour types). Our results suggest that automatically derived image features can predict the prognosis of lung cancer patients and thereby contribute to precision oncology. Our methods are extensible to histopathology images of other organs. PMID:27527408

  12. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

    PubMed Central

    Yu, Kun-Hsing; Zhang, Ce; Berry, Gerald J.; Altman, Russ B.; Ré, Christopher; Rubin, Daniel L.; Snyder, Michael

    2016-01-01

    Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is indispensable for its diagnosis. However, human evaluation of pathology slides cannot accurately predict patients' prognoses. In this study, we obtain 2,186 haematoxylin and eosin stained histopathology whole-slide images of lung adenocarcinoma and squamous cell carcinoma patients from The Cancer Genome Atlas (TCGA), and 294 additional images from Stanford Tissue Microarray (TMA) Database. We extract 9,879 quantitative image features and use regularized machine-learning methods to select the top features and to distinguish shorter-term survivors from longer-term survivors with stage I adenocarcinoma (P<0.003) or squamous cell carcinoma (P=0.023) in the TCGA data set. We validate the survival prediction framework with the TMA cohort (P<0.036 for both tumour types). Our results suggest that automatically derived image features can predict the prognosis of lung cancer patients and thereby contribute to precision oncology. Our methods are extensible to histopathology images of other organs. PMID:27527408

  13. Combining Clinical, Pathology, and Gene Expression Data to Predict Recurrence of Hepatocellular Carcinoma

    PubMed Central

    Villanueva, Augusto; Hoshida, Yujin; Battiston, Carlo; Tovar, Victoria; Sia, Daniela; Alsinet, Clara; Cornella, Helena; Liberzon, Arthur; Kobayashi, Masahiro; Kumada, Hiromitsu; Thung, Swan N.; Bruix, Jordi; Newell, Philippa; April, Craig; Fan, Jian-Bing; Roayaie, Sasan; Mazzaferro, Vincenzo; Schwartz, Myron E.; Llovet, Josep M.

    2011-01-01

    Background & Aims In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early-stage (BCLC 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues. Methods We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n=287) and adjacent non-tumor, cirrhotic tissue (n=226). We evaluated gene expression signatures with reported prognostic ability generated from tumor or cirrhotic tissue in 18 and 4 reports, respectively. In 15 additional patients, we profiled samples from the center and periphery of the tumor, to determine stability of signatures. Data analysis included Cox modeling and random survival forests to identify independent predictors of tumor recurrence. Results Gene expression signatures that were associated with aggressive HCC were clustered, as well as those associated with tumors of progenitor cell origin and those from non-tumor, adjacent, cirrhotic tissues. On multivariate analysis, the tumor-associated signature “G3-proliferation” (hazard ratio [HR]=1.75, P=0.003) and an adjacent “poor-survival” signature (HR=1.74, P=0.004) were independent predictors of HCC recurrence, along with satellites (HR=1.66, P=0.04). Samples from different sites in the same tumor nodule were reproducibly classified. Conclusions We developed a composite prognostic model for HCC recurrence, based on gene expression patterns in tumor and adjacent tissues. These signatures predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses. PMID:21320499

  14. In vitro simulation of pathological bone conditions to predict clinical outcome of bone tissue engineered materials

    NASA Astrophysics Data System (ADS)

    Nguyen, Duong Thuy Thi

    According to the Centers for Disease Control, the geriatric population of ≥65 years of age will increase to 51.5 million in 2020; 40% of white women and 13% of white men will be at risk for fragility fractures or fractures sustained under normal stress and loading conditions due to bone disease, leading to hospitalization and surgical treatment. Fracture management strategies can be divided into pharmaceutical therapy, surgical intervention, and tissue regeneration for fracture prevention, fracture stabilization, and fracture site regeneration, respectively. However, these strategies fail to accommodate the pathological nature of fragility fractures, leading to unwanted side effects, implant failures, and non-unions. Compromised innate bone healing reactions of patients with bone diseases are exacerbated with protective bone therapy. Once these patients sustain a fracture, bone healing is a challenge, especially when fracture stabilization is unsuccessful. Traditional stabilizing screw and plate systems were designed with emphasis on bone mechanics rather than biology. Bone grafts are often used with fixation devices to provide skeletal continuity at the fracture gap. Current bone grafts include autologous bone tissue and donor bone tissue; however, the quality and quantity demanded by fragility fractures sustained by high-risk geriatric patients and patients with bone diseases are not met. Consequently, bone tissue engineering strategies are advancing towards functionalized bone substitutes to provide fracture reconstruction while effectively mediating bone healing in normal and diseased fracture environments. In order to target fragility fractures, fracture management strategies should be tailored to allow bone regeneration and fracture stabilization with bioactive bone substitutes designed for the pathological environment. The clinical outcome of these materials must be predictable within various disease environments. Initial development of a targeted

  15. Levels of 8-OxodG Predict Hepatobiliary Pathology in Opisthorchis viverrini Endemic Settings in Thailand

    PubMed Central

    Jariwala, Amar R.; Sithithaworn, Jiraporn; Sripa, Banchob; Brindley, Paul J.; Laha, Thewarach; Mairiang, Eimorn; Pairojkul, Chawalit; Khuntikeo, Narong; Mulvenna, Jason; Sithithaworn, Paiboon; Bethony, Jeffrey M.

    2015-01-01

    Opisthorchis viverrini is distinct among helminth infections as it drives a chronic inflammatory response in the intrahepatic bile duct that progresses from advanced periductal fibrosis (APF) to cholangiocarcinoma (CCA). Extensive research shows that oxidative stress (OS) plays a critical role in the transition from chronic O. viverrini infection to CCA. OS also results in the excision of a modified DNA lesion (8-oxodG) into urine, the levels of which can be detected by immunoassay. Herein, we measured concentrations of urine 8-oxodG by immunoassay from the following four groups in the Khon Kaen Cancer Cohort study: (1) O. viverrini negative individuals, (2) O. viverrini positive individuals with no APF as determined by abdominal ultrasound, (3) O. viverrini positive individuals with APF as determined by abdominal ultrasound, and (4) O. viverrini induced cases of CCA. A logistic regression model was used to evaluate the utility of creatinine-adjusted urinary 8-oxodG among these groups, along with demographic, behavioral, and immunological risk factors. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive accuracy of urinary 8-oxodG for APF and CCA. Elevated concentrations of 8-oxodG in urine positively associated with APF and CCA in a strongly dose-dependent manner. Urinary 8-oxodG concentrations also accurately predicted whether an individual presented with APF or CCA compared to O. viverrini infected individuals without these pathologies. In conclusion, urinary 8-oxodG is a robust ‘candidate’ biomarker of the progression of APF and CCA from chronic opisthorchiasis, which is indicative of the critical role that OS plays in both of these advanced hepatobiliary pathologies. The findings also confirm our previous observations that severe liver pathology occurs early and asymptomatically in residents of O. viverrini endemic regions, where individuals are infected for years (often decades) with this food-borne pathogen. These

  16. Vitamin D status predicts 30 day mortality in hospitalised cats.

    PubMed

    Titmarsh, Helen; Kilpatrick, Scott; Sinclair, Jennifer; Boag, Alisdair; Bode, Elizabeth F; Lalor, Stephanie M; Gaylor, Donna; Berry, Jacqueline; Bommer, Nicholas X; Gunn-Moore, Danielle; Reed, Nikki; Handel, Ian; Mellanby, Richard J

    2015-01-01

    Vitamin D insufficiency, defined as low serum concentrations of the major circulating form of vitamin D, 25 hydroxyvitamin D (25(OH)D), has been associated with the development of numerous infectious, inflammatory, and neoplastic disorders in humans. In addition, vitamin D insufficiency has been found to be predictive of mortality for many disorders. However, interpretation of human studies is difficult since vitamin D status is influenced by many factors, including diet, season, latitude, and exposure to UV radiation. In contrast, domesticated cats do not produce vitamin D cutaneously, and most cats are fed a commercial diet containing a relatively standard amount of vitamin D. Consequently, domesticated cats are an attractive model system in which to examine the relationship between serum 25(OH)D and health outcomes. The hypothesis of this study was that vitamin D status would predict short term, all-cause mortality in domesticated cats. Serum concentrations of 25(OH)D, together with a wide range of other clinical, hematological, and biochemical parameters, were measured in 99 consecutively hospitalised cats. Cats which died within 30 days of initial assessment had significantly lower serum 25(OH)D concentrations than cats which survived. In a linear regression model including 12 clinical variables, serum 25(OH)D concentration in the lower tertile was significantly predictive of mortality. The odds ratio of mortality within 30 days was 8.27 (95% confidence interval 2.54-31.52) for cats with a serum 25(OH)D concentration in the lower tertile. In conclusion, this study demonstrates that low serum 25(OH)D concentration status is an independent predictor of short term mortality in cats. PMID:25970442

  17. Vitamin D Status Predicts 30 Day Mortality in Hospitalised Cats

    PubMed Central

    Titmarsh, Helen; Kilpatrick, Scott; Sinclair, Jennifer; Boag, Alisdair; Bode, Elizabeth F.; Lalor, Stephanie M.; Gaylor, Donna; Berry, Jacqueline; Bommer, Nicholas X.; Gunn-Moore, Danielle; Reed, Nikki; Handel, Ian; Mellanby, Richard J.

    2015-01-01

    Vitamin D insufficiency, defined as low serum concentrations of the major circulating form of vitamin D, 25 hydroxyvitamin D (25(OH)D), has been associated with the development of numerous infectious, inflammatory, and neoplastic disorders in humans. In addition, vitamin D insufficiency has been found to be predictive of mortality for many disorders. However, interpretation of human studies is difficult since vitamin D status is influenced by many factors, including diet, season, latitude, and exposure to UV radiation. In contrast, domesticated cats do not produce vitamin D cutaneously, and most cats are fed a commercial diet containing a relatively standard amount of vitamin D. Consequently, domesticated cats are an attractive model system in which to examine the relationship between serum 25(OH)D and health outcomes. The hypothesis of this study was that vitamin D status would predict short term, all-cause mortality in domesticated cats. Serum concentrations of 25(OH)D, together with a wide range of other clinical, hematological, and biochemical parameters, were measured in 99 consecutively hospitalised cats. Cats which died within 30 days of initial assessment had significantly lower serum 25(OH)D concentrations than cats which survived. In a linear regression model including 12 clinical variables, serum 25(OH)D concentration in the lower tertile was significantly predictive of mortality. The odds ratio of mortality within 30 days was 8.27 (95% confidence interval 2.54-31.52) for cats with a serum 25(OH)D concentration in the lower tertile. In conclusion, this study demonstrates that low serum 25(OH)D concentration status is an independent predictor of short term mortality in cats. PMID:25970442

  18. Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model

    PubMed Central

    Acampora, Giovanni; Brown, David; Rees, Robert C.

    2016-01-01

    The prediction of cancer staging in prostate cancer is a process for estimating the likelihood that the cancer has spread before treatment is given to the patient. Although important for determining the most suitable treatment and optimal management strategy for patients, staging continues to present significant challenges to clinicians. Clinical test results such as the pre-treatment Prostate-Specific Antigen (PSA) level, the biopsy most common tumor pattern (Primary Gleason pattern) and the second most common tumor pattern (Secondary Gleason pattern) in tissue biopsies, and the clinical T stage can be used by clinicians to predict the pathological stage of cancer. However, not every patient will return abnormal results in all tests. This significantly influences the capacity to effectively predict the stage of prostate cancer. Herein we have developed a neuro-fuzzy computational intelligence model for classifying and predicting the likelihood of a patient having Organ-Confined Disease (OCD) or Extra-Prostatic Disease (ED) using a prostate cancer patient dataset obtained from The Cancer Genome Atlas (TCGA) Research Network. The system input consisted of the following variables: Primary and Secondary Gleason biopsy patterns, PSA levels, age at diagnosis, and clinical T stage. The performance of the neuro-fuzzy system was compared to other computational intelligence based approaches, namely the Artificial Neural Network, Fuzzy C-Means, Support Vector Machine, the Naive Bayes classifiers, and also the AJCC pTNM Staging Nomogram which is commonly used by clinicians. A comparison of the optimal Receiver Operating Characteristic (ROC) points that were identified using these approaches, revealed that the neuro-fuzzy system, at its optimal point, returns the largest Area Under the ROC Curve (AUC), with a low number of false positives (FPR = 0.274, TPR = 0.789, AUC = 0.812). The proposed approach is also an improvement over the AJCC pTNM Staging Nomogram (FPR = 0.032, TPR

  19. Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

    PubMed

    Cosma, Georgina; Acampora, Giovanni; Brown, David; Rees, Robert C; Khan, Masood; Pockley, A Graham

    2016-01-01

    The prediction of cancer staging in prostate cancer is a process for estimating the likelihood that the cancer has spread before treatment is given to the patient. Although important for determining the most suitable treatment and optimal management strategy for patients, staging continues to present significant challenges to clinicians. Clinical test results such as the pre-treatment Prostate-Specific Antigen (PSA) level, the biopsy most common tumor pattern (Primary Gleason pattern) and the second most common tumor pattern (Secondary Gleason pattern) in tissue biopsies, and the clinical T stage can be used by clinicians to predict the pathological stage of cancer. However, not every patient will return abnormal results in all tests. This significantly influences the capacity to effectively predict the stage of prostate cancer. Herein we have developed a neuro-fuzzy computational intelligence model for classifying and predicting the likelihood of a patient having Organ-Confined Disease (OCD) or Extra-Prostatic Disease (ED) using a prostate cancer patient dataset obtained from The Cancer Genome Atlas (TCGA) Research Network. The system input consisted of the following variables: Primary and Secondary Gleason biopsy patterns, PSA levels, age at diagnosis, and clinical T stage. The performance of the neuro-fuzzy system was compared to other computational intelligence based approaches, namely the Artificial Neural Network, Fuzzy C-Means, Support Vector Machine, the Naive Bayes classifiers, and also the AJCC pTNM Staging Nomogram which is commonly used by clinicians. A comparison of the optimal Receiver Operating Characteristic (ROC) points that were identified using these approaches, revealed that the neuro-fuzzy system, at its optimal point, returns the largest Area Under the ROC Curve (AUC), with a low number of false positives (FPR = 0.274, TPR = 0.789, AUC = 0.812). The proposed approach is also an improvement over the AJCC pTNM Staging Nomogram (FPR = 0.032, TPR

  20. Accuracy of Physical Examination, Ultrasonography, and Mammography in Predicting Residual Pathologic Tumor Size in Patients Treated With Neoadjuvant Chemotherapy

    PubMed Central

    Chagpar, Anees B.; Middleton, Lavinia P.; Sahin, Aysegul A.; Dempsey, Peter; Buzdar, Aman U.; Mirza, Attiqa N.; Ames, Fredrick C.; Babiera, Gildy V.; Feig, Barry W.; Hunt, Kelly K.; Kuerer, Henry M.; Meric-Bernstam, Funda; Ross, Merrick I.; Singletary, S Eva

    2006-01-01

    Objective: To assess the accuracy of physical examination, ultrasonography, and mammography in predicting residual size of breast tumors following neoadjuvant chemotherapy. Background: Neoadjuvant chemotherapy is an accepted part of the management of stage II and III breast cancer. Accurate prediction of residual pathologic tumor size after neoadjuvant chemotherapy is critical in guiding surgical therapy. Although physical examination, ultrasonography, and mammography have all been used to predict residual tumor size, there have been conflicting reports about the accuracy of these methods in the neoadjuvant setting. Methods: We reviewed the records of 189 patients who participated in 1 of 2 protocols using doxorubicin-containing neoadjuvant chemotherapy, and who had assessment by physical examination, ultrasonography, and/or mammography no more than 60 days before their surgical resection. Size correlations were performed using Spearman rho analysis. Clinical and pathologic measurements were also compared categorically using the weighted kappa statistic. Results: Size estimates by physical examination, ultrasonography, and mammography were only moderately correlated with residual pathologic tumor size after neoadjuvant chemotherapy (correlation coefficients: 0.42, 0.42, and 0.41, respectively), with an accuracy of ±1 cm in 66% of patients by physical examination, 75% by ultrasonography, and 70% by mammography. Kappa values (0.24–0.35) indicated poor agreement between clinical and pathologic measurements. Conclusion: Physical examination, ultrasonography, and mammography were only moderately useful for predicting residual pathologic tumor size after neoadjuvant chemotherapy. PMID:16432360

  1. Injury markers predict time to dementia in subjects with MCI and amyloid pathology

    PubMed Central

    Vos, Stephanie J.B.; Burns, Leah; Knol, Dirk L.; Scheltens, Philip; Soininen, Hilkka; Wahlund, Lars-Olof; Hampel, Harald; Tsolaki, Magda; Minthon, Lennart; L'Italien, Gilbert; van der Flier, Wiesje M.; Teunissen, Charlotte E.; Blennow, Kaj; Barkhof, Frederik; Rueckert, Daniel; Wolz, Robin; Verhey, Frans; Visser, Pieter Jelle

    2012-01-01

    Objectives: Alzheimer disease (AD) can now be diagnosed in subjects with mild cognitive impairment (MCI) using biomarkers. However, little is known about the rate of decline in those subjects. In this cohort study, we aimed to assess the conversion rate to dementia and identify prognostic markers in subjects with MCI and evidence of amyloid pathology. Methods: We pooled subjects from the VU University Medical Center Alzheimer Center and the Development of Screening Guidelines and Criteria for Predementia Alzheimer's Disease (DESCRIPA) study. We included subjects with MCI, an abnormal level of β-amyloid1−42 (Aβ1–42) in the CSF, and at least one diagnostic follow-up visit. We assessed the effect of APOE genotype, CSF total tau (t-tau) and tau phosphorylated at threonine 181 (p-tau) and hippocampal volume on time to AD-type dementia using Cox proportional hazards models and on decline on the Mini-Mental State Examination (MMSE) using linear mixed models. Results: We included 110 subjects with MCI with abnormal CSF Aβ1–42 and a mean MMSE score of 26.3 ± 2.8. During a mean follow-up of 2.2 ± 1.0 (range 0.4–5.0) years, 63 subjects (57%) progressed to AD-type dementia. Abnormal CSF t-tau (hazard ratio [HR] 2.3, 95% confidence interval [CI] 1.1–4.6, p = 0.03) and CSF p-tau (HR 3.5, 95% CI 1.3–9.2, p = 0.01) concentration and hippocampal atrophy (HR 2.5, 95% CI 1.1–5.6, p = 0.02) predicted time to dementia. For subjects with both abnormal t-tau concentration and hippocampal atrophy, HR was 7.3 (95% CI 1.0–55.9, p = 0.06). Furthermore, abnormal CSF t-tau and p-tau concentrations and hippocampal atrophy predicted decline in MMSE score. Conclusions: In subjects with MCI and evidence of amyloid pathology, the injury markers CSF t-tau and p-tau and hippocampal atrophy can predict further cognitive decline. PMID:23019259

  2. A marker of homologous recombination predicts pathological complete response to neoadjuvant chemotherapy in primary breast cancer

    PubMed Central

    Graeser, Monika; McCarthy, Afshan; Lord, Christopher J; Savage, Kay; Hills, Margaret; Salter, Janine; Orr, Nicholas; Parton, Marina; Smith, Ian E; Reis-Filho, Jorge S; Dowsett, Mitch; Ashworth, Alan; Turner, Nicholas

    2010-01-01

    Purpose To assess the prevalence of defective homologous recombination (HR) based DNA repair in sporadic primary breast cancers, examine the clincopathological features that correlate of with defective HR and the relationship with neoadjuvant chemotherapy response. Experimental Design We examined a cohort of 68 patients with sporadic primary breast cancer who received neoadjuvant anthracylcine based chemotherapy, with core biopsies taken 24 hours after the first cycle of chemotherapy. We assessed RAD51 focus formation, a marker of HR competence, by immunofluorescence in post chemotherapy biopsies along with geminin as a marker of proliferative cells. We assessed the RAD51 score as the proportion of proliferative cells with RAD51 foci. Results A low RAD51 score was present in 26% of cases (15/57, 95% CI, 15-40%). Low RAD51 score correlated with high histological grade (p=0.031) and high baseline Ki67 (p=0.005). Low RAD51 score was more frequent in triple negative breast cancers compared to ER and/or HER2 positive breast cancer (67% vs 19% respectively, p=0.0036). Low RAD51 score was strongly predictive of pathological complete response to chemotherapy, with 33% low RAD51 score cancers achieving pathological complete response compared to 3% of other cancers (p=0.011). Conclusions Our results suggest that defective HR, as indicated by low RAD51 score, may be one of the factors that underlie sensitivity to anthracycline based chemotherapy. Defective HR is frequent in triple negative breast cancer, but is also present in a subset of other subtypes, identifying breast cancers that may benefit from therapies that target defective HR, such as PARP inhibitors. PMID:20802015

  3. Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: adding value to pathology laboratory reports

    PubMed Central

    Hooper, Lee; Abdelhamid, Asmaa; Ali, Adam; Bunn, Diane K; Jennings, Amy; John, W Garry; Kerry, Susan; Lindner, Gregor; Pfortmueller, Carmen A; Sjöstrand, Fredrik; Walsh, Neil P; Fairweather-Tait, Susan J; Potter, John F; Hunter, Paul R; Shepstone, Lee

    2015-01-01

    Objectives To assess which osmolarity equation best predicts directly measured serum/plasma osmolality and whether its use could add value to routine blood test results through screening for dehydration in older people. Design Diagnostic accuracy study. Participants Older people (≥65 years) in 5 cohorts: Dietary Strategies for Healthy Ageing in Europe (NU-AGE, living in the community), Dehydration Recognition In our Elders (DRIE, living in residential care), Fortes (admitted to acute medical care), Sjöstrand (emergency room) or Pfortmueller cohorts (hospitalised with liver cirrhosis). Reference standard for hydration status Directly measured serum/plasma osmolality: current dehydration (serum osmolality >300 mOsm/kg), impending/current dehydration (≥295 mOsm/kg). Index tests 39 osmolarity equations calculated using serum indices from the same blood draw as directly measured osmolality. Results Across 5 cohorts 595 older people were included, of whom 19% were dehydrated (directly measured osmolality >300 mOsm/kg). Of 39 osmolarity equations, 5 showed reasonable agreement with directly measured osmolality and 3 had good predictive accuracy in subgroups with diabetes and poor renal function. Two equations were characterised by narrower limits of agreement, low levels of differential bias and good diagnostic accuracy in receiver operating characteristic plots (areas under the curve >0.8). The best equation was osmolarity=1.86×(Na++ K+)+1.15×glucose+urea+14 (all measured in mmol/L). It appeared useful in people aged ≥65 years with and without diabetes, poor renal function, dehydration, in men and women, with a range of ages, health, cognitive and functional status. Conclusions Some commonly used osmolarity equations work poorly, and should not be used. Given costs and prevalence of dehydration in older people we suggest use of the best formula by pathology laboratories using a cutpoint of 295 mOsm/L (sensitivity 85%, specificity 59%), to report

  4. Postchemoradiotherapy Positron Emission Tomography Predicts Pathologic Response and Survival in Patients With Esophageal Cancer

    SciTech Connect

    Jayachandran, Priya; Pai, Reetesh K.; Quon, Andrew; Graves, Edward; Krakow, Trevor E.; La, Trang; Loo, Billy W.; Koong, Albert C.; Chang, Daniel T.

    2012-10-01

    Purpose: To correlate the prechemoradiotherapy (CRT) and post-CRT metabolic tumor volume (MTV) on positron emission tomography (PET) scanning with the pathologic response and survival in patients receiving preoperative CRT for esophageal cancer. Materials and Methods: The medical records of 37 patients with histologically confirmed Stage I-IVA esophageal cancer treated with CRT with or without surgical resection were reviewed. Of the 37 patients, 21 received preoperative CRT (57%) and 16 received definitive CRT (43%). All patients had a pre-CRT and 32 had a post-CRT PET scan. The MTV was measured on the pre-CRT PET and post-CRT PET scan, respectively, using a minimum standardized uptake value (SUV) threshold x, where x = 2, 2.5, 3, or the SUV maximum Multiplication-Sign 50%. The total glycolytic activity (TGA{sub x}) was defined as the mean SUV Multiplication-Sign MTV{sub x}. The MTV ratio was defined as the pre-CRT PET MTV/post-CRT MTV. The SUV ratio was defined similarly. A single pathologist scored the pathologic response using a tumor regression grade (TRG) scale. Results: The median follow-up was 1.5 years (range, 0.4-4.9). No significant correlation was found between any parameters on the pre-CRT PET scan and the TRG or overall survival (OS). Multiple post-CRT MTV values and post-TGA values correlated with the TRG and OS; however, the MTV{sub 2.5Post} and TGA{sub 2.5Post} had the greatest correlation. The MTV{sub 2} ratio correlated with OS. The maximum SUV on either the pre-CRT and post-CRT PET scans or the maximum SUV ratio did not correlate with the TRG or OS. Patients treated preoperatively had survival similar compared with those treated definitively with a good PET response (p = 0.97) and significantly better than that of patients treated definitively with a poor PET response (p < 0.0001). Conclusion: The maximum SUV was not a predictive or prognostic parameter. The MTV{sub 2.5} and TGA{sub 2.5} were useful markers for predicting the response and

  5. MicroRNA-31 Emerges as a Predictive Biomarker of Pathological Response and Outcome in Locally Advanced Rectal Cancer.

    PubMed

    Caramés, Cristina; Cristobal, Ion; Moreno, Víctor; Marín, Juan P; González-Alonso, Paula; Torrejón, Blanca; Minguez, Pablo; Leon, Ana; Martín, José I; Hernández, Roberto; Pedregal, Manuel; Martín, María J; Cortés, Delia; García-Olmo, Damian; Fernández, María J; Rojo, Federico; García-Foncillas, Jesús

    2016-01-01

    Neoadjuvant chemoradiotherapy (CRT) followed by total mesorectal excision has emerged as the standard treatment for locally advanced rectal cancer (LARC) patients. However, many cases do not respond to neoadjuvant CRT, suffering unnecessary toxicities and surgery delays. Thus, identification of predictive biomarkers for neoadjuvant CRT is a current clinical need. In the present study, microRNA-31 expression was measured in formalin-fixed paraffin-embedded (FFPE) biopsies from 78 patients diagnosed with LARC who were treated with neoadjuvant CRT. Then, the obtained results were correlated with clinical and pathological characteristics and outcome. High microRNA-31 (miR-31) levels were found overexpressed in 34.2% of cases. Its overexpression significantly predicted poor pathological response (p = 0.018) and worse overall survival (OS) (p = 0.008). The odds ratio for no pathological response among patients with miR-31 overexpression was 0.18 (Confidence Interval = 0.06 to 0.57; p = 0.003). Multivariate analysis corroborated the clinical impact of miR-31 in determining pathological response to neoadjuvant CRT as well as OS. Altogether, miR-31 quantification emerges as a novel valuable clinical tool to predict both pathological response and outcome in LARC patients. PMID:27271609

  6. MicroRNA-31 Emerges as a Predictive Biomarker of Pathological Response and Outcome in Locally Advanced Rectal Cancer

    PubMed Central

    Caramés, Cristina; Cristobal, Ion; Moreno, Víctor; Marín, Juan P.; González-Alonso, Paula; Torrejón, Blanca; Minguez, Pablo; Leon, Ana; Martín, José I.; Hernández, Roberto; Pedregal, Manuel; Martín, María J.; Cortés, Delia; García-Olmo, Damian; Fernández, María J.; Rojo, Federico; García-Foncillas, Jesús

    2016-01-01

    Neoadjuvant chemoradiotherapy (CRT) followed by total mesorectal excision has emerged as the standard treatment for locally advanced rectal cancer (LARC) patients. However, many cases do not respond to neoadjuvant CRT, suffering unnecessary toxicities and surgery delays. Thus, identification of predictive biomarkers for neoadjuvant CRT is a current clinical need. In the present study, microRNA-31 expression was measured in formalin-fixed paraffin-embedded (FFPE) biopsies from 78 patients diagnosed with LARC who were treated with neoadjuvant CRT. Then, the obtained results were correlated with clinical and pathological characteristics and outcome. High microRNA-31 (miR-31) levels were found overexpressed in 34.2% of cases. Its overexpression significantly predicted poor pathological response (p = 0.018) and worse overall survival (OS) (p = 0.008). The odds ratio for no pathological response among patients with miR-31 overexpression was 0.18 (Confidence Interval = 0.06 to 0.57; p = 0.003). Multivariate analysis corroborated the clinical impact of miR-31 in determining pathological response to neoadjuvant CRT as well as OS. Altogether, miR-31 quantification emerges as a novel valuable clinical tool to predict both pathological response and outcome in LARC patients. PMID:27271609

  7. RAS mutations predict radiologic and pathologic response in patients treated with chemotherapy prior to resection of colorectal liver metastases

    PubMed Central

    Mise, Yoshihiro; Kopetz, Scott; Loyer, Evelyne M.; Andreou, Andreas; Cooper, Amanda B.; Kaur, Harmeet; Aloia, Thomas A.; Maru, Dipen M.; Vauthey, Jean-Nicolas

    2014-01-01

    Purpose RAS mutations have been reported to be a potential prognostic factor in patients with colorectal liver metastases (CLM). However, the impact of RAS mutations on response to chemotherapy remains unclear. We sought to determine the association between RAS mutations and response to preoperative chemotherapy and their impact on survival in patients undergoing curative resection of CLM. Methods RAS mutational status was assessed and its relation to morphologic response and pathologic response was investigated in 184 patients meeting inclusion criteria. Predictors of survival were assessed. The prognostic impact of RAS mutational status was then analyzed using two different multivariate models including either radiologic morphologic response (model 1) or pathologic response (model 2). Results Optimal morphologic response and major pathologic response were more common in patients with wild-type RAS (32.9% and 58.9%, respectively) than in patients with RAS mutations (10.5% and 36.8%; P =.006 and .015, respectively). Multivariate analysis confirmed that wild-type RAS was a strong predictor of optimal morphologic response (odds ratio [OR], 4.38; 95% CI, 1.45-13.2) and major pathologic response (OR,2.79; 95% CI, 1.29-6.04). RAS mutations were independently correlated with both overall survival and recurrence free-survival (hazard ratios, 3.25 and 2.02, respectively, in model 1, and 3.19 and 2.23, respectively, in model 2). Subanalysis revealed that RAS mutational status clearly stratified prognosis in patients with inadequate response to preoperative chemotherapy. Conclusion RAS mutational status can be used to complement the current prognostic indicators for patients undergoing curative resection of CLM after preoperative modern chemotherapy. PMID:25227306

  8. Quantitative imaging features to predict cancer status in lung nodules

    NASA Astrophysics Data System (ADS)

    Liu, Ying; Balagurunathan, Yoganand; Atwater, Thomas; Antic, Sanja; Li, Qian; Walker, Ronald; Smith, Gary T.; Massion, Pierre P.; Schabath, Matthew B.; Gillies, Robert J.

    2016-03-01

    Background: We propose a systematic methodology to quantify incidentally identified lung nodules based on observed radiological traits on a point scale. These quantitative traits classification model was used to predict cancer status. Materials and Methods: We used 102 patients' low dose computed tomography (LDCT) images for this study, 24 semantic traits were systematically scored from each image. We built a machine learning classifier in cross validation setting to find best predictive imaging features to differentiate malignant from benign lung nodules. Results: The best feature triplet to discriminate malignancy was based on long axis, concavity and lymphadenopathy with average AUC of 0.897 (Accuracy of 76.8%, Sensitivity of 64.3%, Specificity of 90%). A similar semantic triplet optimized on Sensitivity/Specificity (Youden's J index) included long axis, vascular convergence and lymphadenopathy which had an average AUC of 0.875 (Accuracy of 81.7%, Sensitivity of 76.2%, Specificity of 95%). Conclusions: Quantitative radiological image traits can differentiate malignant from benign lung nodules. These semantic features along with size measurement enhance the prediction accuracy.

  9. DNA Copy Number Aberrations, and Human Papillomavirus Status in Penile Carcinoma. Clinico-Pathological Correlations and Potential Driver Genes

    PubMed Central

    Lambros, Maryou; Stankiewicz, Elzbieta; Ng, Charlotte K. Y.; Weigelt, Britta; Rajab, Ramzi; Tinwell, Brendan; Corbishley, Cathy; Watkin, Nick; Berney, Dan; Reis-Filho, Jorge S.

    2016-01-01

    Penile squamous cell carcinoma is a rare disease, in which somatic genetic aberrations have yet to be characterized. We hypothesized that gene copy aberrations might correlate with human papillomavirus status and clinico-pathological features. We sought to determine the spectrum of gene copy number aberrations in a large series of PSCCs and to define their correlations with human papillomavirus, histopathological subtype, and tumor grade, stage and lymph node status. Seventy formalin-fixed, paraffin embedded penile squamous cell carcinomas were centrally reviewed by expert uropathologists. DNA was extracted from micro-dissected samples, subjected to PCR-based human papillomavirus assessment and genotyping (INNO-LiPA human papillomavirus Genotyping Extra Assay) and microarray-based comparative genomic hybridization using a 32K Bacterial Artificial Chromosome array platform. Sixty-four samples yielded interpretable results. Recurrent gains were observed in chromosomes 1p13.3-q44 (88%), 3p12.3-q29 (86%), 5p15.33-p11 (67%) and 8p12-q24.3 (84%). Amplifications of 5p15.33-p11 and 11p14.1-p12 were found in seven (11%) and four (6%) cases, respectively. Losses were observed in chromosomes 2q33-q37.3 (86%), 3p26.3-q11.1 (83%) and 11q12.2-q25 (81%). Although many losses and gains were similar throughout the cohort, there were small significant differences observed at specific loci, between human papillomavirus positive and negative tumors, between tumor types, and tumor grade and nodal status. These results demonstrate that despite the diversity of genetic aberrations in penile squamous cell carcinomas, there are significant correlations between the clinico-pathological data and the genetic changes that may play a role in disease natural history and progression and highlight potential driver genes, which may feature in molecular pathways for existing therapeutic agents. PMID:26901676

  10. Behavioral variant of frontotemporal dementia: Fundamental clinical issues associated with prediction of pathological bases.

    PubMed

    Miki, Tomoko; Yokota, Osamu; Ishizu, Hideki; Kuroda, Shigetoshi; Oshima, Etsuko; Terada, Seishi; Yamada, Norihito

    2016-08-01

    patterns of clinical syndromes in pathologically confirmed FTLD cases should be considered. These views may provide clues to differentiate FTLD from Alzheimer's disease and to predict a subsequent clinical course and therapeutic interventions needed in the future. PMID:26969837

  11. Digital slides: present status of a tool for consultation, teaching, and quality control in pathology.

    PubMed

    Rocha, Rafael; Vassallo, José; Soares, Fernando; Miller, Keith; Gobbi, Helenice

    2009-01-01

    In the last few years, telepathology has benefited from the progress in the technology of image digitalization and transmission through the world web. The applications of telepathology and virtual imaging are more current in research and morphology teaching. In surgical pathology daily practice, this technology still has limits and is more often used for case consultation. In the present review, we intend to discuss its applications and challenges for pathologists and scientists. Much of the limitations of virtual imaging for the surgical pathologist reside in the capacity of storage of images, which so far has hindered the more widespread use of this technology. Overcoming this major drawback may revolutionize the surgical pathologist's activity and slide storing. PMID:19501988

  12. Self-Fitting Hearing Aids: Status Quo and Future Predictions.

    PubMed

    Keidser, Gitte; Convery, Elizabeth

    2016-01-01

    A self-contained, self-fitting hearing aid (SFHA) is a device that enables the user to perform both threshold measurements leading to a prescribed hearing aid setting and fine-tuning, without the need for audiological support or access to other equipment. The SFHA has been proposed as a potential solution to address unmet hearing health care in developing countries and remote locations in the developed world and is considered a means to lower cost and increase uptake of hearing aids in developed countries. This article reviews the status of the SFHA and the evidence for its feasibility and challenges and predicts where it is heading. Devices that can be considered partly or fully self-fitting without audiological support were identified in the direct-to-consumer market. None of these devices are considered self-contained as they require access to other hardware such as a proprietary interface, computer, smartphone, or tablet for manipulation. While there is evidence that self-administered fitting processes can provide valid and reliable results, their success relies on user-friendly device designs and interfaces and easy-to-interpret instructions. Until these issues have been sufficiently addressed, optional assistance with the self-fitting process and on-going use of SFHAs is recommended. Affordability and a sustainable delivery system remain additional challenges for the SFHA in developing countries. Future predictions include a growth in self-fitting products, with most future SFHAs consisting of earpieces that connect wirelessly with a smartphone and providers offering assistance through a telehealth infrastructure, and the integration of SFHAs into the traditional hearing health-care model. PMID:27072929

  13. Urine Metabolite Profiles Predictive of Human Kidney Allograft Status.

    PubMed

    Suhre, Karsten; Schwartz, Joseph E; Sharma, Vijay K; Chen, Qiuying; Lee, John R; Muthukumar, Thangamani; Dadhania, Darshana M; Ding, Ruchuang; Ikle, David N; Bridges, Nancy D; Williams, Nikki M; Kastenmüller, Gabi; Karoly, Edward D; Mohney, Robert P; Abecassis, Michael; Friedewald, John; Knechtle, Stuart J; Becker, Yolanda T; Samstein, Benjamin; Shaked, Abraham; Gross, Steven S; Suthanthiran, Manikkam

    2016-02-01

    Noninvasive diagnosis and prognostication of acute cellular rejection in the kidney allograft may help realize the full benefits of kidney transplantation. To investigate whether urine metabolites predict kidney allograft status, we determined levels of 749 metabolites in 1516 urine samples from 241 kidney graft recipients enrolled in the prospective multicenter Clinical Trials in Organ Transplantation-04 study. A metabolite signature of the ratio of 3-sialyllactose to xanthosine in biopsy specimen-matched urine supernatants best discriminated acute cellular rejection biopsy specimens from specimens without rejection. For clinical application, we developed a high-throughput mass spectrometry-based assay that enabled absolute and rapid quantification of the 3-sialyllactose-to-xanthosine ratio in urine samples. A composite signature of ratios of 3-sialyllactose to xanthosine and quinolinate to X-16397 and our previously reported urinary cell mRNA signature of 18S ribosomal RNA, CD3ε mRNA, and interferon-inducible protein-10 mRNA outperformed the metabolite signatures and the mRNA signature. The area under the receiver operating characteristics curve for the composite metabolite-mRNA signature was 0.93, and the signature was diagnostic of acute cellular rejection with a specificity of 84% and a sensitivity of 90%. The composite signature, developed using solely biopsy specimen-matched urine samples, predicted future acute cellular rejection when applied to pristine samples taken days to weeks before biopsy. We conclude that metabolite profiling of urine offers a noninvasive means of diagnosing and prognosticating acute cellular rejection in the human kidney allograft, and that the combined metabolite and mRNA signature is diagnostic and prognostic of acute cellular rejection with very high accuracy. PMID:26047788

  14. Pubertal Status Predicts Back Pain, Overtiredness, and Dizziness in American and Dutch Adolescents

    PubMed Central

    Rosmalen, Judith G. M.; Ormel, Johan; Verhulst, Frank C.; Hunfeld, Joke A. M.; Mancl, Lloyd A.; Oldehinkel, Albertine J.; LeResche, Linda

    2011-01-01

    OBJECTIVE: Functional somatic symptoms, symptoms for which no organic pathologic basis can be found, are more prevalent in girls than in boys, and this difference tends to increase during adolescence. This might be explained, at least in part, by pubertal development. We hypothesized that pubertal maturation predicts the development of most functional somatic symptoms and that this especially is true for girls. METHOD: We used 2 longitudinal population-based studies to examine our hypotheses: the Longitudinal Study of Pain in Adolescents in Seattle (n = 1996 [49.7% girls]) and the Dutch Tracking Adolescents' Individual Lives Survey (n = 2230 [51.0% girls]). Two assessment waves of each study were used. American adolescents were younger than Dutch adolescents at the first (11.6 vs 13.6) and second (14.5 vs 16.2) assessment waves, but they were in about the same pubertal development stage. Functional somatic symptoms were measured by pain questions, the Symptom Checklist-90, and the Youth Self-report. The Pubertal Development Scale was used to assess pubertal development on a continuous scale in both cohorts. RESULTS: Ordinal logistic regression analyses revealed that American and Dutch adolescents at a later pubertal status at baseline were more likely (odds ratios ranged from 1.24 to 1.61) to report back pain, overtiredness, and dizziness but not stomach pain and headache 2 to 3 years later. Although these relationships were not equally strong for boys and girls, no significant gender differences were found. CONCLUSIONS: Pubertal status predicted the frequency of some, but not all, functional somatic symptoms at follow-up. PMID:21807699

  15. Preference for High Status Predicts Implicit Outgroup Bias among Children from Low-Status Groups

    ERIC Educational Resources Information Center

    Newheiser, Anna-Kaisa; Dunham, Yarrow; Merrill, Anna; Hoosain, Leah; Olson, Kristina R.

    2014-01-01

    Whereas members of high-status racial groups show ingroup preference when attitudes are measured implicitly, members of low-status racial groups--both adults and children--typically show no bias, potentially reflecting awareness of the ingroup's low status. We hypothesized that when status differences are especially pronounced, children from…

  16. Apparent Diffusion Coefficient Predicts Pathology Complete Response of Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy

    PubMed Central

    Chen, Yuan-Gui; Chen, Ming-Qiu; Guo, Yu-Yan; Li, Si-Cong; Wu, Jun-Xin; Xu, Ben-Hua

    2016-01-01

    Objective To evaluate the predictive value of the apparent diffusion coefficient (ADC) for pathologic complete response (pCR) to neoadjuvant chemoradiotherapy (NCRT) in locally advanced rectal cancer. Methods A total of 265 patients with rectal adenocarcinoma, whole Diffusion-Weighted MRI (DWI-MRI) images, clinically stage II to III (cT3-4 and/or cN+) and treated with NCRT followed by TME were screened. Fifty patients with pCR and another 50 patients without pCR with similar clinical charcacters and treatment regimens were selected for statistical analysis. All the patients’ pre-CRT and post-CRT average ADC values were calculated from the coefficient maps created by DWI-MRI and recorded independently. The difference in the ADC values between the pCR and non-pCR was analyzed by the Mann-Whitney U test. The cut-off ADC value of the receiver operating characteristic (ROC) curve with pCR was then established. Results The mean pre- and post-ADC values in all patients, and in pCR patients and non-pCR patients were 0.879±0.06 and 1.383±0.11, 0.859±0.04 and 1.440±0.10, 0.899±0.07 and 1.325±0.09 (×10-3mm2/s), respectively. The difference between the pre- and post-ADC values in all patients, pCR patients, and non-pCR patients were considered to be statistically significant. The pre-ADC value was significantly lower in the pCR patients than in the non-pCR patients (p = 0.003), whereas the post-ADC values were significantly higher in the pCR patients than in the non-pCR patients. The percentage increase of the ADC value (ΔADC%) in the pCR and non-pCR patients were 68% and 48% respectively (p<0.001). The ROC curves of the cut-off value of the pre-CRT patient ADC value was 0.866×10-3mm2/s. The AUC, sensitivity, specificity, PPV, NPV, and accuracy of diagnosing pCR were 0.670 (95% CI 0.563–0.777), 0.600, 0.640, 60%, 60%, and 60%, respectively. The cut-off value of ΔADC% was 58%. The corresponding AUC, sensitivity, specificity, PPV, NPV, and accuracy of diagnosing p

  17. Prostate-specific antigen density predicts favorable pathology and biochemical recurrence in patients with intermediate-risk prostate cancer.

    PubMed

    Kang, Ho Won; Jung, Hae Do; Lee, Joo Yong; Kwon, Jong Kyou; Jeh, Seong Uk; Cho, Kang Su; Ham, Won Sik; Choi, Young Deuk

    2016-01-01

    This study was designed to identify clinical predictors of favorable pathology and biochemical recurrence (BCR) in patients with intermediate-risk prostate cancer (IRPCa). Between 2006 and 2012, clinicopathological and oncological data from 203 consecutive men undergoing robot-assisted radical prostatectomy (RARP) for IRPCa were reviewed in a single-institutional retrospective study. Favorable pathology was defined as Gleason score ≤6 and organ-confined cancer as detected by surgical pathology. Logistic regression analysis was used to determine predictive variables of favorable pathology, and the Kaplan-Meier and multivariate Cox regression model were used to estimate BCR-free survival after RARP. Overall, 38 patients (18.7%) had favorable pathology after RARP. Lower quartile prostate-specific antigen density (PSAD) was associated with favorable pathology compared to the highest quartile PSAD after adjusting for preoperative PSA, clinical stage and biopsy Gleason score (odds ratio, 5.42; 95% confidence interval, 1.01-28.97; P = 0.048). During a median 37.8 (interquartile range, 24.6-60.2) months of follow-up, 66 patients experienced BCR. There were significant differences with regard to BCR free survival by PSAD quartiles (log rank, P = 0.003). Using a multivariable Cox proportion hazard model, PSAD was found to be an independent predictor of BCR in patients with IRPCa after RARP (hazard ratio, 4.641; 95% confidence interval, 1.109-19.417; P = 0.036). The incorporation of the PSAD into risk assessments might provide additional prognostic information and identify some patients in whom active surveillance would be appropriate in patients with IRPCa. PMID:26178393

  18. Se status in normal and pathological human individuals before and after Se supplementation

    NASA Astrophysics Data System (ADS)

    Bellisola, G.; Cinque, G.; Galassini, S.; Guidi, G. C.; Liu, N. Q.; Moschini, G.

    1996-04-01

    The determination of selenium in plasma and in urine samples has been suggested for the assessment of Se status in human individuals. The kidney is of fundamental importance in Se homeostasis: with low Se intake its excretion will be decreased and with high Se intake it will be increased. In 21 patients with kidney disease (8 with normal kidney function and 13 with moderate renal failure) Se was measured in 1 ml of urine by PIXE after preconcentration of the sample. The total urine volume was measured to calculate total daily Se excretion. The same procedure was applied to 14 normal individuals for comparison. All individuals were then supplemented orally with selenite for 8 weeks (Se = 600 μg/day) and the procedure was repeated. The behaviour of the major selenoproteins was also investigated by measuring glutathione peroxidase activities in plasma, in platelets and in erythrocyte samples. For renal function, serum and urine creatinine concentrations were utilised and creatinine clearances were calculated. Results obtained were compared before and after Se treatment and between groups. Some correlation studies were carried out between Se and kidney functions and/or selenoperoxidase activities.

  19. Temporal Patterns of Fatigue Predict Pathologic Response in Patients Treated With Preoperative Chemoradiation Therapy for Rectal Cancer

    SciTech Connect

    Park, Hee Chul; Janjan, Nora A.; Mendoza, Tito R.; Lin, Edward H.; Vadhan-Raj, Saroj; Hundal, Mandeep; Zhang Yiqun; Delclos, Marc E.; Crane, Christopher H.; Das, Prajnan; Wang, Xin Shelley; Cleeland, Charles S.; Krishnan, Sunil

    2009-11-01

    Purpose: To investigate whether symptom burden before and during preoperative chemoradiation therapy (CRT) for rectal cancer predicts for pathologic tumor response. Methods and Materials: Fifty-four patients with T3/T4/N+ rectal cancers were treated on a Phase II trial using preoperative capecitabine and concomitant boost radiotherapy. Symptom burden was prospectively assessed before (baseline) and weekly during CRT by patient self-reported questionnaires, the MD Anderson Symptom Inventory (MDASI), and Brief Fatigue Inventory (BFI). Survival probabilities were estimated using the Kaplan-Meier method. Symptom scores according to tumor downstaging (TDS) were compared using Student's t tests. Logistic regression was used to determine whether symptom burden levels predicted for TDS. Lowess curves were plotted for symptom burden across time. Results: Among 51 patients evaluated for pathologic response, 26 patients (51%) had TDS. Fatigue, pain, and drowsiness were the most common symptoms. All symptoms increased progressively during treatment. Patients with TDS had lower MDASI fatigue scores at baseline and at completion (Week 5) of CRT (p = 0.03 for both) and lower levels of BFI 'usual fatigue' at baseline. Conclusion: Lower levels of fatigue at baseline and completion of CRT were significant predictors of pathologic tumor response gauged by TDS, suggesting that symptom burden may be a surrogate for tumor burden. The relationship between symptom burden and circulating cytokines merits evaluation to characterize the molecular basis of this phenomenon.

  20. MRI features of Binswanger’s disease predict prognosis and associated pathology

    PubMed Central

    Akiguchi, Ichiro; Budka, Herbert; Shirakashi, Yoshitomo; Woehrer, Adelheid; Watanabe, Toshiyuki; Shiino, Akihiko; Yamamoto, Yasumasa; Kawamoto, Yasuhiro; Krampla, Wolfgang; Jungwirth, Susanne; Fischer, Peter

    2014-01-01

    Objective To identify the prevalence of MRI features of Binswanger’s disease (BD), specifically MRI with diffuse white matter lesions and scattered multiple lacunes (BD-MRI), and to describe neurological features and pathological outcomes of a community-based cohort study. Methods Of 697 participants (all 75 years old), 503 completed neurological examinations at baseline and were followed-up every 30 months thereafter with MRIs, the mini-mental state examination (MMSE) and the Unified Parkinson Disease Rating Scale-Motor Section (UPDRSM). Data from participants with BD-MRI were compared with those from participants with predominant white matter lesions (WML-MRI), scattered multiple lacunes (ML-MRI), or normal MRIs. Results Fourteen BD-MRI patients (2.8%) were detected at baseline. The mean MMSE scores in the BD-MRI, WML-MRI, ML-MRI, and normal MRIs groups were 26.4, 28.2, 28.4, and 28.5, respectively, and the mean UPDRSM scores were 9.1, 1.3, 3.1, and 1.7, respectively. At the 30-month follow-up, mortality rates in the normal MRIs, WML-MRI and ML-MRI were 4%, 9.1%, and 22.2%, respectively, and follow-up MRIs were available for 80%, 82%, and 61% of the participants, respectively. In the BD-MRI, however, five patients were deceased, and only five follow-up individual MRIs were available (33.3%). Autopsies were performed on six of eight BD-MRI brains, and these brains fulfilled the pathological criteria for BD independent of Alzheimer disease pathology. All these six individuals also showed systemic atherosclerosis and renal arterio-arteriolosclerosis. Interpretation The BD-MRI participants had poor prognoses and showed pure BD pathology with advanced systemic vascular disease. BD-MRI appears to be a predictor of vascular neurocognitive impairment. PMID:25493272

  1. Prediction of biochemical recurrence and prostate cancer specific death in men after radical retropublic prostatectomy: Use of pathology and computer-assisted quantitative nuclear grading information

    NASA Astrophysics Data System (ADS)

    Khan, Masood Ahmed

    Prostate cancer is the most common solid tumour in man. Accordingly, it is expected that 1 in 6 men will experience prostate cancer during their lifetime. Over the past 20 years there have been tremendous advancements in both diagnostic as well as surgical approach to prostate cancer. This has led not only to earlier detection of the disease in its natural history, but also the availability of effective surgical management. Furthermore, the discovery of serum prostate specific antigen as a marker for prostate cancer along with greater acceptance of prostate cancer screening has resulted in an increase in the incidence of prostate cancer in men younger than 50 years of age. This is an age group that has traditionally been associated with a poor prognosis after radical prostatectomy. In addition, despite being able to effectively remove the whole of the gland with limited morbidity, approximately 25% of men after radical prostatectomy will experience biochemical recurrence with time. Moreover, the majority will progress to distant metastases and/or die from prostate cancer. We firstly investigated whether radical prostatectomy is a viable option for men younger than 50 years of age diagnosed with clinically localised prostate cancer. We also determined factors that predict disease recurrence after radical prostatectomy. As many men demonstrate evidence of biochemical recurrence with some showing further progression after radical prostatectomy, we, therefore, investigated whether pathological variables as well as nuclear morphometry could be used to predict those that are at an increased risk for disease recurrence after radical prostatectomy. Our results demonstrated that 1) radical prostatectomy can be safely performed in younger men as it can provide excellent long-term disease-free survival; 2) We determined that there are a number of factors that are associated with an increased risk for disease recurrence after radical prostatectomy; 3) We have constructed a new

  2. Maternal education and intelligence predict offspring diet and nutritional status.

    PubMed

    Wachs, Theodore D; Creed-Kanashiro, Hilary; Cueto, Santiago; Jacoby, Enrique

    2005-09-01

    The traditional assumption that children's nutritional deficiencies are essentially due either to overall food scarcity or to a lack of family resources to purchase available food has been increasingly questioned. Parental characteristics represent 1 type of noneconomic factor that may be related to variability in children's diets and nutritional status. We report evidence on the relation of 2 parental characteristics, maternal education level and maternal intelligence, to infant and toddler diet and nutritional status. Our sample consisted of 241 low-income Peruvian mothers and their infants assessed from 3 to 12 mo, with a further follow-up of 104 of these infants at 18 mo of age. Using a nonexperimental design, we related measures of level of maternal education, maternal intelligence, and family socioeconomic status to infant anthropometry, duration of exclusive breast-feeding, adequacy of dietary intake, and iron status. Results indicated unique positive relations between maternal education level and the extent of exclusive breast-feeding. Significant relations between maternal education and offspring length were partially mediated by maternal height. There also were unique positive relations between maternal intelligence and quality of offspring diet and hemoglobin level. All findings remained significant even after controlling for family socioeconomic characteristics. This pattern of results illustrates the importance of parental characteristics in structuring the adequacy of offspring diet. Maternal education and intelligence appear to have unique influences upon different aspects of the diet and nutritional status of offspring. PMID:16140895

  3. Helicopter noise prediction - The current status and future direction

    NASA Technical Reports Server (NTRS)

    Brentner, Kenneth S.; Farassat, F.

    1992-01-01

    The paper takes stock of the progress, assesses the current prediction capabilities, and forecasts the direction of future helicopter noise prediction research. The acoustic analogy approach, specifically, theories based on the Ffowcs Williams-Hawkings equations, are the most widely used for deterministic noise sources. Thickness and loading noise can be routinely predicted given good plane motion and blade loading inputs. Blade-vortex interaction noise can also be predicted well with measured input data, but prediction of airloads with the high spatial and temporal resolution required for BVI is still difficult. Current semiempirical broadband noise predictions are useful and reasonably accurate. New prediction methods based on a Kirchhoff formula and direct computation appear to be very promising, but are currently very demanding computationally.

  4. Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout

    PubMed Central

    Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

    2014-01-01

    Background One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. Objective The aim of the present study was to identify predictors of dropout from this Web program. Methods A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants’ age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. Results The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Conclusions Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment. PMID:24686856

  5. Comparison between Ultrasound and Pathologic Status of Axillary Lymph Nodes in Clinically Node-negative Breast Cancer Patients.

    PubMed

    Bailey, Amanda; Layne, Ginger; Shahan, Cimmie; Zhang, Jianjun; Wen, Siji; Radis, Sarah; Richmond, Bryan; Partin, Jessica; Hazard, Hannah

    2015-09-01

    Sentinel lymph node biopsy (SLNB) is the standard of care for axillary staging in clinically node-negative breast cancer patients. Ultrasound (US) has shown promise when used to assess axillary lymph nodes preoperatively, thus aiding surgical decision making. We examined the correlation between preoperative US and SLNB results to further clarify the role of US in clinicopathologic staging of breast cancer when the axilla is clinically negative on physical examination. Our institutional cancer registry was used to identify clinically node-negative patients diagnosed with breast cancer from January 1, 2009 to December 31, 2012. Variables including age, body mass index, date of surgery, date of diagnosis, US results, US-directed biopsy results, SLNB results, and final pathology were recorded. Incomplete charts were excluded. In all, 249 patients were included. Sensitivity/specificity of US in the clinically negative axilla were 7.4 per cent and 91.8 per cent, respectively. The false-positive rate was 80 per cent, whereas the negative predictive value was 78 per cent. The effect of time from diagnosis/US to SLNB, interpreting radiologist, year in which US was performed, and body mass index were not statistically significant. US in the clinically node-negative patient, although useful when it leads to a positive needle biopsy result, is unlikely to replace SLNB owing to its low sensitivity and a high false-positive rate. Further prospective study into the role of US in the evaluation of the clinically negative axilla is warranted. PMID:26350662

  6. Elements of male body image: Prediction of depression, eating pathology and social sensitivity among gay men.

    PubMed

    Blashill, Aaron J

    2010-09-01

    The aim of the current study was to assess the relative uniqueness of three components of male body image (i.e., muscle, body fat, and height dissatisfaction) in the prediction of indices of psychological distress (i.e., depression, eating restraint, eating concerns, and social sensitivity) among a community sample of 228 gay men. Results indicated that body fat dissatisfaction was predictive of all four criterion variables (controlling for muscle dissatisfaction). Conversely, muscle dissatisfaction was only associated with social sensitivity, while height dissatisfaction failed to significantly predict any of the criterion variables. These findings highlight the relative importance of body fat dissatisfaction among gay men and suggest that researchers and clinicians working with this population should utilize measures which include assessment of both muscularity and body fat. PMID:20813600

  7. Is Regional Lymph Node Irradiation Necessary in Stage II to III Breast Cancer Patients With Negative Pathologic Node Status After Neoadjuvant Chemotherapy?

    SciTech Connect

    Daveau, Caroline; Stevens, Denise; Brain, Etienne

    2010-10-01

    Purpose: Neoadjuvant chemotherapy (NAC) generally induces significant changes in the pathologic extent of disease. This potential down-staging challenges the standard indications of adjuvant radiation therapy. We assessed the utility of lymph node irradiation (LNI) in breast cancer (BC) patients with pathologic N0 status (pN0) after NAC and breast-conserving surgery (BCS). Methods and Materials: Among 1,054 BC patients treated with NAC in our institution between 1990 and 2004, 248 patients with clinical N0 or N1 to N2 lymph node status at diagnosis had pN0 status after NAC and BCS. Cox regression analysis was used to identify factors influencing locoregional recurrence-free survival (LRR-FS), disease-free survival (DFS), and overall survival (OS). Results: All 248 patients underwent breast irradiation, and 158 patients (63.7%) also received LNI. With a median follow-up of 88 months, the 5-year LRR-FS and OS rates were respectively 89.4% and 88.7% with LNI and 86.2% and 92% without LNI (no significant difference). Survival was poorer among patients who did not have a pathologic complete primary tumor response (hazard ratio, 3.05; 95% confidence interval, 1.17-7.99) and in patients with N1 to N2 clinical status at diagnosis (hazard ratio = 2.24; 95% confidence interval, 1.15-4.36). LNI did not significantly affect survival. Conclusions: Relative to combined breast and local lymph node irradiation, isolated breast irradiation does not appear to be associated with a higher risk of locoregional relapse or death among cN0 to cN2 breast cancer patients with pN0 status after NAC. These results need to be confirmed in a prospective study.

  8. Socioeconomic status and prediction of ventricular fibrillation survival.

    PubMed Central

    Hallstrom, A; Boutin, P; Cobb, L; Johnson, E

    1993-01-01

    OBJECTIVES. The association between socioeconomic status and cardiac arrest is less well known than some other associations with cardiac arrest. We used property tax assessments as a measure of socioeconomic status in a study of victims of out-of-hospital cardiac arrest found in ventricular fibrillation. METHODS. We studied patients attended by the Seattle Fire Department's emergency medical services system between May 1986 and August 1988. During the period studied, 356 episodes met the study criteria; 114 (32%) of these patients survived without major neurologic deficit. Residential property tax assessments were available for 253 of the patients. RESULTS. After adjustments were made for age, witnessed collapse, bystander-initiated cardiopulmonary resuscitation, time from call to paramedic arrival, activity, location of collapse, and chronic morbidity, an association of survival with greater assessed value per living unit was observed. An increase of $50,000 in value per unit was associated with a 1.6-fold increase in survival rate. CONCLUSIONS. Not only are persons in the lower socioeconomic strata at greater risk for cardiac mortality, but they are also less likely to survive an episode of out-of-hospital cardiac arrest. PMID:8427331

  9. Negative predictive value of preoperative computed tomography in determining pathologic local invasion, nodal disease, and abdominal metastases in gastric cancer

    PubMed Central

    Kagedan, D.J.; Frankul, F.; El-Sedfy, A.; McGregor, C.; Elmi, M.; Zagorski, B.; Dixon, M.E.; Mahar, A.L.; Vasilevska-Ristovska, J.; Helyer, L.; Rowsell, C.; Swallow, C.J.; Law, C.H.; Coburn, N.G.

    2016-01-01

    Background Before undergoing curative-intent resection of gastric adenocarcinoma (ga), most patients undergo abdominal computed tomography (ct) imaging to determine contraindications to resection (local invasion, distant metastases). However, the ability to detect contraindications is variable, and the literature is limited to single-institution studies. We sought to assess, on a population level, the clinical relevance of preoperative ct in evaluating the resectability of ga tumours in patients undergoing surgery. Methods In a provincial cancer registry, 2414 patients with ga diagnosed during 2005–2008 at 116 institutions were identified, and a primary chart review of radiology, operative, and pathology reports was performed for all patients. Preoperative abdominal ct reports were compared with intraoperative findings and final pathology reports (reference standard) to determine the negative predictive value (npv) of ct in assessing local invasion, nodal involvement, and intra-abdominal metastases. Results Among patients undergoing gastrectomy, the npv of ct imaging in detecting local invasion was 86.9% (n = 536). For nodal metastasis, the npv of ct was 43.3% (n = 450). Among patients undergoing surgical exploration, the npv of ct for intra-abdominal metastases was 52.3% (n = 407). Conclusions Preoperative abdominal ct imaging reported as negative is most accurate in determining local invasion and least accurate in nodal assessment. The poor npv of ct should be taken into account when selecting patients for staging laparoscopy. PMID:27536178

  10. Water Erosion Prediction Project (WEPP) model status and updates

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This presentation will provide current information on the USDA-ARS Water Erosion Prediction Project (WEPP) model, and its implementation by the USDA-Forest Service (FS), USDA-Natural Resources Conservation Service (NRCS), and other agencies and universities. Most recently, the USDA-NRCS has begun ef...

  11. Predicting severity of pathological scarring due to burn injuries: a clinical decision making tool using Bayesian networks.

    PubMed

    Berchialla, Paola; Gangemi, Ezio Nicola; Foltran, Francesca; Haxhiaj, Arber; Buja, Alessandra; Lazzarato, Fulvio; Stella, Maurizio; Gregori, Dario

    2014-06-01

    It is important for clinicians to understand which are the clinical signs, the patient characteristics and the procedures that are related with the occurrence of hypertrophic burn scars in order to carry out a possible prognostic assessment. Providing clinicians with an easy-to- use tool for predicting the risk of pathological scars. A total of 703 patients with 2440 anatomical burn sites who were admitted to the Department of Plastic and Reconstructive Surgery, Burn Center of the Traumatological Hospital in Torino between January 1994 and May 2006 were included in the analysis. A Bayesian network (BN) model was implemented. The probability of developing a hypertrophic scar was evaluated on a number of scenarios. The error rate of the BN model was assessed internally and it was equal to 24·83%. While classical statistical method as logistic models can infer only which variables are related to the final outcome, the BN approach displays a set of relationships between the final outcome (scar type) and the explanatory covariates (patient's age and gender, burn surface area, full-thickness burn surface area, burn anatomical area and wound-healing time; burn treatment options such as advanced dressings, type of surgical approach, number of surgical procedures, type of skin graft, excision and coverage timing). A web-based interface to handle the BN model was developed on the website www.pubchild.org (burns header). Clinicians who registered at the website could submit their data in order to get from the BN model the predicted probability of observing a pathological scar type. PMID:22958613

  12. Diagnostic accuracy of shear wave elastography for prediction of breast malignancy in patients with pathological nipple discharge

    PubMed Central

    Guo, Xiaobo; Liu, Ying; Li, Wanhu

    2016-01-01

    Objectives Pathological nipple discharge (PND) may indicate malignant breast lesions. As the role of shear wave elastography (SWE) in predicting these malignant lesions has not yet been evaluated, we aim to evaluate the diagnostic value of SWE for this condition. Design Prospective diagnostic accuracy study comparing a combination of qualitative and quantitative measurements of SWE (index test) to a ductoscopy and microdochectomy for histological diagnosis (reference test). Setting Fuzhou General Hospital of Nanjing military command. Participants A total of 379 patients with PND were finally included from January, 2011 to March 2014, after we screened 1084 possible candidates. All participants were evaluated through SWE, with qualitative parameters generated by Virtual Touch tissue imaging (VTI) and quantitative parameters generated by Virtual Touch tissue quantification (VTQ). All the patients were consented to receive a ductoscopy and microdochectomy for histological diagnosis, and the results were set as a reference test. Outcome measures Sensitivity and specificity of the combined VTI and VTQ of the SWE for detection of malignancy in patients with PND. Results The 379 participants presented with 404 lesions. The results of pathological examination showed that 326 (80.7%) of the 404 lesions were benign and the other 78 (19.3%) were malignant. An area under the curve of elasticity score, VTQm and VTQc, were 0.872, 0.825 and 0.857, respectively, with the corresponding cut-off point as 2.50, 2.860 m/s and 3.015 m/s, respectively. After a combination of these measurements, the sensitivity, specificity, and positive and negative predictive value (PPV and NPV), were 89.7%, 72.1%, 43.5% and 96.7%, respectively. The sensitivity analysis showed 82% of the sensitivity and 96.8% of the specificity, in which patients with no pathological findings in ductoscopy were excluded. Conclusions Ultrasonographic elastography is sensitive for patients with PND and could be used

  13. Weight Status and Psychosocial Factors Predict the Emergence of Dieting in Preadolescent Girls

    PubMed Central

    Sinton, Meghan M.; Birch, Leann L.

    2008-01-01

    Objective The current study tested a longitudinal model predicting the emergence of dieting in girls (n = 183) at age 9 years using data from the same girls measured at ages 5 and 7. Method Variables related to the girls' weight status, psychological health, body satisfaction, maternal child feeding practices, and family environment are included in a hierarchical regression model predicting the emergence of dieting in girls. Interactions of girls' weight status with other variables in the model are also included in the last step. Results Results indicate that the model accounts for 45% of the variance in the outcome scores and that variables across constructs have significant contributions to the model. Results also show that girls' weight status, both independently and as an interaction term, accounts for a large proportion of variance in this model. Conclusion Weight status at age 5 years is a critical factor related to the emergence of dieting in young girls. PMID:16231357

  14. Predicting Preterm Labour: Current Status and Future Prospects

    PubMed Central

    Georgiou, Harry M.; Di Quinzio, Megan K. W.; Permezel, Michael; Brennecke, Shaun P.

    2015-01-01

    Preterm labour and birth are a major cause of perinatal morbidity and mortality. Despite modern advances in obstetric and neonatal management, the rate of preterm birth in the developed world is increasing. Yet even though numerous risk factors associated with preterm birth have been identified, the ability to accurately predict when labour will occur remains elusive, whether it is at a term or preterm gestation. In the latter case, this is likely due to the multifactorial aetiology of preterm labour wherein women may display different clinical presentations that lead to preterm birth. The discovery of novel biomarkers that could reliably identify women who will subsequently deliver preterm may allow for timely medical intervention and targeted therapeutic treatments aimed at improving maternal and fetal outcomes. Various body fluids including amniotic fluid, urine, saliva, blood (serum/plasma), and cervicovaginal fluid all provide a rich protein source of putative biochemical markers that may be causative or reflective of the various pathophysiological disorders of pregnancy, including preterm labour. This short review will highlight recent advances in the field of biomarker discovery and the utility of single and multiple biomarkers for the prediction of preterm birth in the absence of intra-amniotic infection. PMID:26160993

  15. External validation of a prediction model for pathologic N2 among patients with a negative mediastinum by positron emission tomography

    PubMed Central

    Backhus, Leah M.; Varghese, Thomas K.; Manning, James P.; Cheng, Aaron M.; Mulligan, Michael S.; Wood, Douglas E.

    2015-01-01

    Background A prediction model for pathologic N2 (pN2) among lung cancer patients with a negative mediastinum by positron emission tomography (PET) was recently internally validated. Our study sought to determine the external validity of that model. Methods A cohort study [2005-2013] was performed of lung cancer patients with a negative mediastinum by PET. Previously published model coefficients were used to estimate the probability of pN2 based on tumor location and size, nodal enlargement by computed tomography (CT), maximum standardized uptake value (SUVmax) of the primary tumor, N1 disease by PET, and pretreatment histology. Results Among 239 patients, 18 had pN2 [7.5%, 95% confidence interval (CI): 4.5-12%]. Model discrimination was excellent (c-statistic 0.80, 95% CI: 0.75-0.85) and the model fit the data well (P=0.191). The accuracy of the model was as follows: sensitivity 100%, 95% CI: 81-100%; specificity 49%, 95% CI: 42-56%; positive predictive value (PPV) 14%, 95% CI: 8-21%, and negative predictive value (NPV) 100%, 95% CI: 97-100%. CI inspection revealed a significantly higher c-statistic in this external validation cohort compared to the internal validation cohort. The model’s apparently poor specificity for patient selection is in fact significantly better than usual care (i.e., aggressive but allowable guideline concordant staging) and minimum guideline mandated selection criteria for invasive staging. Conclusions A prediction model for pN2 is externally valid. The high NPV of this model may allow pulmonologists and thoracic surgeons to more comfortably minimize the number of invasive procedures performed among patients with a negative mediastinum by PET. PMID:25973222

  16. Borderline, avoidant, sadistic personality traits and emotion dysregulation predict different pathological skin picking subtypes in a community sample.

    PubMed

    Pozza, Andrea; Giaquinta, Nicoletta; Dèttore, Davide

    2016-01-01

    Pathological skin picking (SP) is a strongly impairing condition characterized by repetitive picking behaviors resulting in significant tissue damage and distress. Recent research suggested the presence of different subtypes of SP. No study has investigated which personality traits could be specifically associated with different subtypes. In a community sample (N=285, 71.20% females, mean age =34.98 years, standard deviation =15.91), this cross-sectional study investigated which personality traits and emotion regulation deficits could predict specific SP subtypes. Participants completed the Milwaukee Inventory for the Dimensions of Adult Skin Picking (MIDAS), Millon Clinical Multiaxial Inventory-III personality scales (MCMI-III), and Difficulties in Emotion Regulation Scale (DERS) questionnaires. Higher scores on the MCMI-III borderline (β=0.28, t=4.88, P<0.001), MCMI-III avoidant scale (β=0.18, t=2.59, P<0.01), and DERS difficulties engaging in goal-directed behavior (β=0.19, t=3.27, P<0.01) predicted higher scores on the MIDAS automatic scale. Higher scores on the MCMI-III borderline (β=0.30, t=5.23, P<0.001) and DERS difficulties engaging in goal-directed behavior (β=0.15, t=2.52, P<0.05) and DERS limited access to emotion regulation strategies (β=0.21, t=3.26, P<0.01) predicted higher scores on the MIDAS focused scale. Higher scores on the MCMI-III sadistic (β=0.19, t=3.30, P<0.001) and DERS difficulties engaging in goal-directed behavior (β=0.15, t=2.68, P<0.01) predicted higher scores on the MIDAS mixed scale. Implications for future research and treatment are discussed. PMID:27536108

  17. Borderline, avoidant, sadistic personality traits and emotion dysregulation predict different pathological skin picking subtypes in a community sample

    PubMed Central

    Pozza, Andrea; Giaquinta, Nicoletta; Dèttore, Davide

    2016-01-01

    Pathological skin picking (SP) is a strongly impairing condition characterized by repetitive picking behaviors resulting in significant tissue damage and distress. Recent research suggested the presence of different subtypes of SP. No study has investigated which personality traits could be specifically associated with different subtypes. In a community sample (N=285, 71.20% females, mean age =34.98 years, standard deviation =15.91), this cross-sectional study investigated which personality traits and emotion regulation deficits could predict specific SP subtypes. Participants completed the Milwaukee Inventory for the Dimensions of Adult Skin Picking (MIDAS), Millon Clinical Multiaxial Inventory-III personality scales (MCMI-III), and Difficulties in Emotion Regulation Scale (DERS) questionnaires. Higher scores on the MCMI-III borderline (β=0.28, t=4.88, P<0.001), MCMI-III avoidant scale (β=0.18, t=2.59, P<0.01), and DERS difficulties engaging in goal-directed behavior (β=0.19, t=3.27, P<0.01) predicted higher scores on the MIDAS automatic scale. Higher scores on the MCMI-III borderline (β=0.30, t=5.23, P<0.001) and DERS difficulties engaging in goal-directed behavior (β=0.15, t=2.52, P<0.05) and DERS limited access to emotion regulation strategies (β=0.21, t=3.26, P<0.01) predicted higher scores on the MIDAS focused scale. Higher scores on the MCMI-III sadistic (β=0.19, t=3.30, P<0.001) and DERS difficulties engaging in goal-directed behavior (β=0.15, t=2.68, P<0.01) predicted higher scores on the MIDAS mixed scale. Implications for future research and treatment are discussed. PMID:27536108

  18. Health status: does it predict choice in further education?

    PubMed Central

    Koivusilta, L; Rimpelä, A; Rimpelä, M

    1995-01-01

    STUDY OBJECTIVE--To study the significance of a young person's health to his or her choice of further education at age 16. DESIGN--A cross sectional population survey SETTING--The whole of Finland. PARTICIPANTS--A representative sample of 2977 Finnish 16 year olds. The response rate was 83%. MEASUREMENTS AND MAIN RESULTS--The three outcome variables reflected successive steps on the way to educational success: school attendance after the completion of compulsory schooling, the type of school, and school achievement for those at school. Continuing their education and choosing upper secondary school were most typical of young people from upper social classes. Female gender and living with both parents increased the probability of choosing to go on to upper secondary school. Over and above these background variables, some health factors had additional explanatory power. Continuing their education, attending upper secondary schools, and good achievement were typical of those who considered their health to be good. Chronically ill adolescents were more likely to continue their education than the healthy ones. CONCLUSIONS--School imposes great demands on young people, thus revealing differences in personal health resources. Adaptation to the norms of a society in which education is highly valued is related to satisfying health status. In a welfare state that offers equal educational opportunities for everyone, however, chronically ill adolescents can add to their resources for coping through schooling. Health related selection thus works differently for various indicators of health and in various kinds of societies. Social class differences in health in the future may be more dependent on personally experienced health problems than on medically diagnosed diseases. PMID:7798039

  19. Extended Range Prediction of Indian Summer Monsoon: Current status

    NASA Astrophysics Data System (ADS)

    Sahai, A. K.; Abhilash, S.; Borah, N.; Joseph, S.; Chattopadhyay, R.; S, S.; Rajeevan, M.; Mandal, R.; Dey, A.

    2014-12-01

    The main focus of this study is to develop forecast consensus in the extended range prediction (ERP) of monsoon Intraseasonal oscillations using a suit of different variants of Climate Forecast system (CFS) model. In this CFS based Grand MME prediction system (CGMME), the ensemble members are generated by perturbing the initial condition and using different configurations of CFSv2. This is to address the role of different physical mechanisms known to have control on the error growth in the ERP in the 15-20 day time scale. The final formulation of CGMME is based on 21 ensembles of the standalone Global Forecast System (GFS) forced with bias corrected forecasted SST from CFS, 11 low resolution CFST126 and 11 high resolution CFST382. Thus, we develop the multi-model consensus forecast for the ERP of Indian summer monsoon (ISM) using a suite of different variants of CFS model. This coordinated international effort lead towards the development of specific tailor made regional forecast products over Indian region. Skill of deterministic and probabilistic categorical rainfall forecast as well the verification of large-scale low frequency monsoon intraseasonal oscillations has been carried out using hindcast from 2001-2012 during the monsoon season in which all models are initialized at every five days starting from 16May to 28 September. The skill of deterministic forecast from CGMME is better than the best participating single model ensemble configuration (SME). The CGMME approach is believed to quantify the uncertainty in both initial conditions and model formulation. Main improvement is attained in probabilistic forecast which is because of an increase in the ensemble spread, thereby reducing the error due to over-confident ensembles in a single model configuration. For probabilistic forecast, three tercile ranges are determined by ranking method based on the percentage of ensemble members from all the participating models falls in those three categories. CGMME further

  20. Effect of volume replacement during combined experimental hemorrhagic shock and traumatic brain injury in prostanoids, brain pathology and pupil status.

    PubMed

    Pinto, Fernando Campos Gomes; Oliveira, Matheus Fernandes de; Prist, Ricardo; Silva, Maurício Rocha E; Silva, Luiz Fernando Ferraz da; Capone Neto, Antonio

    2015-06-01

    Traumatic brain injury (TBI) is the main cause of trauma-related deaths. Systemic hypotension and intracranial hypertension causes cerebral ischemia by altering metabolism of prostanoids. We describe prostanoid, pupilar and pathological response during resuscitation with hypertonic saline solution (HSS) in TBI. Method Fifteen dogs were randomized in three groups according to resuscitation after TBI (control group; lactated Ringer's (LR) group and HSS group), with measurement of thromboxane, prostaglandin, macroscopic and microscopic pathological evaluation and pupil evaluation.Result Concentration of prostaglandin is greater in the cerebral venous blood than in plasma and the opposite happens with concentration of thromboxane. Pathology revealed edema in groups with the exception of group treated with HSS.Discussion and conclusion There is a balance between the concentrations of prostaglandin and thromboxane. HSS prevented the formation of cerebral edema macroscopically detectable. Pupillary reversal occurred earlier in HSS group than in LR group. PMID:26083885

  1. The Hurricane Imaging Radiometer (HIRAD): Instrument Status and Performance Predictions

    NASA Technical Reports Server (NTRS)

    Ruf, Christopher; Bailey, M. C.; Gross, Steven; Hood, Robbie; James, Mark; Johnson, James; Jones, Linwood; Miller, Timothy; Uhlhorn, Eric

    2009-01-01

    The Hurricane Imaging Radiometer (HIRAD) is an innovative radiometer which offers new and unique remotely sensed observations of both extreme oceanic wind events and strong precipitation. It is based on the airborne Stepped Frequency Microwave Radiometer (SFMR) [Uhlhorn and Black, 2004]. The HIRAD instrument advances beyond the current nadir viewing SFMR to an equivalent wide-swath SFMR imager using passive microwave synthetic thinned aperture radiometer (STAR) technology [Ruf et al., 1988]. This sensor operates over 4-7 GHz, where the required tropical cyclone remote sensing physics has been validated by both SFMR and WindSat radiometer [Bettenhausen et al., 2006; Brown et al., 2006]. HIRAD incorporates a new and unique array antenna design along with several technologies successfully demonstrated by the Lightweight Rain Radiometer instrument [Ruf et al., 2002; Ruf and Principe, 2003]. HIRAD will be a compact, lightweight, low-power instrument with no moving parts that will produce wide-swath imagery of ocean winds and rain in hurricane conditions. Accurate observations of surface ocean vector winds (OVW) with high spatial and temporal resolution are required for understanding and predicting tropical cyclones. The Hurricane Imaging Radiometer (HIRAD) is an innovative architecture which offers new and unique remotely sensed observations of both extreme oceanic wind events and strong precipitation. It is based on the airborne Stepped Frequency Microwave Radiometer (SFMR), which is a proven remote sensing technique for observing tropical cyclone (TC) ocean surface wind speeds and rain rates. The proposed HIRAD instrument advances beyond the current nadir viewing SFMR to an equivalent wide-swath SFMR imager using passive microwave synthetic thinned aperture radiometer (STAR) technology combined with a a unique array antenna design. The overarching design concept of HIRAD is to combine the multi-frequency C-band observing strategy of the SFMR with STAR technology to

  2. The Number of Pathologically Positive Lymph Nodes and Pathological Tumor Depth Predicts Prognosis in Patients With Poorly Differentiated Squamous Cell Carcinoma of the Oral Cavity

    SciTech Connect

    Kang, Chung-Jan; Lin, Chien-Yu; Wang, Hung-Ming; Fan, Kang-Hsing; Ng, Shu-Hang; Lee, Li-Yu; Chen, I-How; Huang, Shiang-Fu; and others

    2011-11-15

    Purpose: The objective of this retrospective study was twofold: (1) to investigate prognostic factors for clinical outcomes in patients with poorly differentiated oral cavity squamous cell carcinoma and (2) to identify specific prognostic subgroups that may help to guide treatment decisions. Methods and Materials: We examined 102 patients with poorly differentiated oral cavity squamous cell carcinoma. All patients were followed for at least 24 months after surgery or until death. The 5-year rates of local control, neck control, distant metastasis, disease-free, disease-specific, and overall survival served as main outcome measures. Results: The 5-year rates were as follows: local control (79%), neck control (64%), distant metastases (27%), disease-free survival (48%), disease-specific survival (52%), and overall survival (42%). Multivariable analysis showed that the number of pathologically positive nodes ({>=}4 vs. {<=}3) was a significant predictor of neck control, distant metastasis, and disease-free, disease-specific, and overall survival rates. In addition, the presence of tumor depth of {>=}11 mm (vs. <11 mm) was a significant predictor of distant metastasis, disease-specific survival, and overall survival rates. The combination of the two predictors (26.5%, 27/102) was independently associated with poorer neck control (p = 0.0319), distant metastasis (p < 0.0001), and disease-free (p < 0.0001), disease-specific (p < 0.0001), and overall survival (p < 0.0001) rates. Conclusions: In patients with poorly differentiated oral cavity squamous cell carcinoma, the presence of at least 4 pathologically positive lymph nodes and of a pathological tumor depth {>=}11 mm identifies a subset of subjects with poor clinical outcomes. Patients carrying both risk factors are suitable candidates for the development of novel therapeutic approaches.

  3. Machine learning classification of resting state functional connectivity predicts smoking status

    PubMed Central

    Pariyadath, Vani; Stein, Elliot A.; Ross, Thomas J.

    2014-01-01

    Machine learning-based approaches are now able to examine functional magnetic resonance imaging data in a multivariate manner and extract features predictive of group membership. We applied support vector machine (SVM)-based classification to resting state functional connectivity (rsFC) data from nicotine-dependent smokers and healthy controls to identify brain-based features predictive of nicotine dependence. By employing a network-centered approach, we observed that within-network functional connectivity measures offered maximal information for predicting smoking status, as opposed to between-network connectivity, or the representativeness of each individual node with respect to its parent network. Further, our analysis suggests that connectivity measures within the executive control and frontoparietal networks are particularly informative in predicting smoking status. Our findings suggest that machine learning-based approaches to classifying rsFC data offer a valuable alternative technique to understanding large-scale differences in addiction-related neurobiology. PMID:24982629

  4. The use of skill tests to predict status in junior Australian football.

    PubMed

    Woods, T E Carl; Raynor, J Annette; Bruce, Lyndell; McDonald, Zane

    2015-01-01

    This study examined whether skill tests were predictive of status in junior Australian football. Players were recruited from the 2013 under 18 (U18) West Australian Football League competition and classified into two groups: elite (state U18 squad representative; n = 25; 17.9 ± 0.5 years) and subelite (nonstate U18 squad representative; n = 25; 17.3 ± 0.6 years). Both groups completed the Australian football kicking (AFK) and Australian football handballing (AFHB) tests, assessing kicking accuracy/ball speed and handballing accuracy on dominant and nondominant sides. A multivariate analysis of variance (MANOVA) modelled the main effect of "status", whilst logistic regression models were built for the predictive analysis using the same test parameters. Between-group differences were noted across all parameters, with the combination of kicking accuracy and ball speed on the dominant and nondominant sides being the best predictor of status for the AFK test (wi = 0.25, AUC = 89.4%) and the combination of accuracy on the dominant and nondominant sides being the best predictor of status for the AFHB test (wi = 0.80, AUC = 88.4%). The AFK and AFHB tests are predictive of status, suggesting that their use is warranted as a means of talent identification in junior Australian football. PMID:25533678

  5. Epigenetic Regulation of KLHL34 Predictive of Pathologic Response to Preoperative Chemoradiation Therapy in Rectal Cancer Patients

    SciTech Connect

    Ha, Ye J.; Kim, Chan W.; Roh, Seon A.; Cho, Dong H.; Park, Jong L.; Kim, Seon Y.; Kim, Jong H.; Choi, Eun K.; Kim, Yong S.; Kim, Jin C.

    2015-03-01

    Purpose: Prediction of individual responsiveness to preoperative chemoradiation therapy (CRT) is urgently needed in patients with poorly responsive locally advanced rectal cancer (LARC). Methods and Materials: Candidate methylation genes associated with radiosensitivity were identified using a 3-step process. In the first step, genome-wide screening of methylation genes was performed in correlation with histopathologic tumor regression grade in 45 patients with LARC. In the second step, the methylation status of selected sites was analyzed by pyrosequencing in 67 LARC patients, including 24 patients analyzed in the first step. Finally, colorectal cancer cell clones with stable KLHL34 knockdown were generated and tested for cellular sensitivity to radiation. Results: Genome-wide screening identified 7 hypermethylated CpG sites (DZIP1 cg24107021, DZIP1 cg26886381, ZEB1 cg04430381, DKK3 cg041006961, STL cg00991794, KLHL34 cg01828474, and ARHGAP6 cg07828380) associated with preoperative CRT responses. Radiosensitivity in patients with hypermethylated KLHL34 cg14232291 was confirmed by pyrosequencing in additional cohorts. Knockdown of KLHL34 significantly reduced colony formation (KLHL34 sh#1: 20.1%, P=.0001 and KLHL34 sh#2: 15.8%, P=.0002), increased the cytotoxicity (KLHL34 sh#1: 14.8%, P=.019 and KLHL34 sh#2: 17.9%, P=.007) in LoVo cells, and increased radiation-induced caspase-3 activity and the sub-G1 population of cells. Conclusions: The methylation status of KLHL34 cg14232291 may be a predictive candidate of sensitivity to preoperative CRT, although further validation is needed in large cohorts using various cell types.

  6. A 2015 update on predictive molecular pathology and its role in targeted cancer therapy: a review focussing on clinical relevance.

    PubMed

    Dietel, M; Jöhrens, K; Laffert, M V; Hummel, M; Bläker, H; Pfitzner, B M; Lehmann, A; Denkert, C; Darb-Esfahani, S; Lenze, D; Heppner, F L; Koch, A; Sers, C; Klauschen, F; Anagnostopoulos, I

    2015-09-01

    In April 2013 our group published a review on predictive molecular pathology in this journal. Although only 2 years have passed many new facts and stimulating developments have happened in diagnostic molecular pathology rendering it worthwhile to present an up-date on this topic. A major technical improvement is certainly given by the introduction of next-generation sequencing (NGS; amplicon, whole exome, whole genome) and its application to formalin-fixed paraffin-embedded (FFPE) tissue in routine diagnostics. Based on this 'revolution' the analyses of numerous genetic alterations in parallel has become a routine approach opening the chance to characterize patients' malignant tumors much more deeply without increasing turn-around time and costs. In the near future this will open new strategies to apply 'off-label' targeted therapies, e.g. for rare tumors, otherwise resistant tumors etc. The clinically relevant genetic aberrations described in this review include mutation analyses of RAS (KRAS and NRAS), BRAF and PI3K in colorectal cancer, KIT or PDGFR alpha as well as BRAF, NRAS and KIT in malignant melanoma. Moreover, we present several recent advances in the molecular characterization of malignant lymphoma. Beside the well-known mutations in NSCLC (EGFR, ALK) a number of chromosomal aberrations (KRAS, ROS1, MET) have become relevant. Only very recently has the clinical need for analysis of BRCA1/2 come up and proven as a true challenge for routine diagnostics because of the genes' special structure and hot-spot-free mutational distribution. The genetic alterations are discussed in connection with their increasingly important role in companion diagnostics to apply targeted drugs as efficient as possible. As another aspect of the increasing number of druggable mutations, we discuss the challenges personalized therapies pose for the design of clinical studies to prove optimal efficacy particularly with respect to combination therapies of multiple targeted drugs and

  7. Predictive Power of the Success Tendency and Ego Identity Status of the University Students

    ERIC Educational Resources Information Center

    Osman, Pepe

    2015-01-01

    The aim of this research is to assess the predictive power of the success tendency and ego identity status of the students of Physical Education and Sports Teaching Department. 581 students of Physical Education and Sports Teaching Department in Kayseri, Nigde, Burdur, Bolu and Diyarbakir participated in this research. The acquired results were…

  8. The Roles of Negative Career Thoughts and Sense of Coherence in Predicting Career Decision Status

    ERIC Educational Resources Information Center

    Austin, R. Kirk; Dahl, A. Dennis; Wagner, Bruce D.

    2010-01-01

    The relationship between sense of coherence and negative career thoughts was investigated in a non-college-based population to determine the relationship and predictive value of these factors toward career decision status. Participants completed the Orientation to Life Questionnaire, Career Thoughts Inventory, and Career Decision Profile's…

  9. Menarchal status and calf circumference predict calcaneal ultrasound measurements in girls

    PubMed Central

    Hergenroeder, Albert C.; Hoelscher, Deanna M.; Day, R. Sue; Kelder, Steven H.; Ward, Jerri L.

    2007-01-01

    Purpose The purpose of this study was to predict calcaneal QUS measurements in healthy adolescent females as a function of anthropometric measures, pubertal stage and menarchal status. Methods This was a secondary data analysis from a two-year intervention designed to increase bone accretion. Simple Pearson correlation and Spearman’s rank correlation analyses, followed by linear stepwise regression analyses were conducted. Setting: 12 middle schools. Participants: 672 female students, baseline; 587 students at 18 months. Main outcome measure: Calcaneal stiffness index (SI) by quantitative ultrasound. Results Eighty percent of the subjects were premenarchal at baseline; 33% at 18 months. Although SI correlated with self-assessed pubic hair (rho = 0.21) and menarchal status (rho = 0.23, p<0.01 for both) at baseline, the model for predicting SI included menarchal status, not pubic hair, and calf circumference, controlling for BMI (R2 = 0.22, P< 0.01). At 18 months, SI correlated with self-assessed pubic hair (rho = 0.21) and menarchal status (rho = 0.25, p<0.01 for both). The best model to predict SI included calf circumference and pubic hair stage (R2 = 0.14, p < 0.01), and not menarchal status as 67% of the subjects at 18 months were postmenarchal. Conclusions In research assessing calcaneal SI in groups of adolescents, assessment of pubertal stage could be replaced with menarchal status and calf circumference when the majority of subjects are premenarchal. When the majority is postmenarchal, pubic hair stage and calf circumference together may be used to assess for pubertal maturation without menstrual status. PMID:17367724

  10. Predicting groundwater redox status on a regional scale using linear discriminant analysis

    NASA Astrophysics Data System (ADS)

    Close, M. E.; Abraham, P.; Humphries, B.; Lilburne, L.; Cuthill, T.; Wilson, S.

    2016-08-01

    Reducing conditions are necessary for denitrification, thus the groundwater redox status can be used to identify subsurface zones where potentially significant nitrate reduction can occur. Groundwater chemistry in two contrasting regions of New Zealand was classified with respect to redox status and related to mappable factors, such as geology, topography and soil characteristics using discriminant analysis. Redox assignment was carried out for water sampled from 568 and 2223 wells in the Waikato and Canterbury regions, respectively. For the Waikato region 64% of wells sampled indicated oxic conditions in the water; 18% indicated reduced conditions and 18% had attributes indicating both reducing and oxic conditions termed "mixed". In Canterbury 84% of wells indicated oxic conditions; 10% were mixed; and only 5% indicated reduced conditions. The analysis was performed over three different well depths, < 25 m, 25 to 100 and > 100 m. For both regions, the percentage of oxidised groundwater decreased with increasing well depth. Linear discriminant analysis was used to develop models to differentiate between the three redox states. Models were derived for each depth and region using 67% of the data, and then subsequently validated on the remaining 33%. The average agreement between predicted and measured redox status was 63% and 70% for the Waikato and Canterbury regions, respectively. The models were incorporated into GIS and the prediction of redox status was extended over the whole region, excluding mountainous land. This knowledge improves spatial prediction of reduced groundwater zones, and therefore, when combined with groundwater flow paths, improves estimates of denitrification.

  11. Predicting groundwater redox status on a regional scale using linear discriminant analysis.

    PubMed

    Close, M E; Abraham, P; Humphries, B; Lilburne, L; Cuthill, T; Wilson, S

    2016-08-01

    Reducing conditions are necessary for denitrification, thus the groundwater redox status can be used to identify subsurface zones where potentially significant nitrate reduction can occur. Groundwater chemistry in two contrasting regions of New Zealand was classified with respect to redox status and related to mappable factors, such as geology, topography and soil characteristics using discriminant analysis. Redox assignment was carried out for water sampled from 568 and 2223 wells in the Waikato and Canterbury regions, respectively. For the Waikato region 64% of wells sampled indicated oxic conditions in the water; 18% indicated reduced conditions and 18% had attributes indicating both reducing and oxic conditions termed "mixed". In Canterbury 84% of wells indicated oxic conditions; 10% were mixed; and only 5% indicated reduced conditions. The analysis was performed over three different well depths, <25m, 25 to 100 and >100m. For both regions, the percentage of oxidised groundwater decreased with increasing well depth. Linear discriminant analysis was used to develop models to differentiate between the three redox states. Models were derived for each depth and region using 67% of the data, and then subsequently validated on the remaining 33%. The average agreement between predicted and measured redox status was 63% and 70% for the Waikato and Canterbury regions, respectively. The models were incorporated into GIS and the prediction of redox status was extended over the whole region, excluding mountainous land. This knowledge improves spatial prediction of reduced groundwater zones, and therefore, when combined with groundwater flow paths, improves estimates of denitrification. PMID:27182792

  12. Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance Imaging

    PubMed Central

    de Cobelli, Ottavio; Terracciano, Daniela; Tagliabue, Elena; Raimondi, Sara; Bottero, Danilo; Cioffi, Antonio; Jereczek-Fossa, Barbara; Petralia, Giuseppe; Cordima, Giovanni; Almeida, Gilberto Laurino; Lucarelli, Giuseppe; Buonerba, Carlo; Matei, Deliu Victor; Renne, Giuseppe; Di Lorenzo, Giuseppe; Ferro, Matteo

    2015-01-01

    Purpose The aim of this study was to investigate the prognostic performance of multiparametric magnetic resonance imaging (mpMRI) and Prostate Imaging Reporting and Data System (PIRADS) score in predicting pathologic features in a cohort of patients eligible for active surveillance who underwent radical prostatectomy. Methods A total of 223 patients who fulfilled the criteria for “Prostate Cancer Research International: Active Surveillance”, were included. Mp–1.5 Tesla MRI examination staging with endorectal coil was performed at least 6–8 weeks after TRUS-guided biopsy. In all patients, the likelihood of the presence of cancer was assigned using PIRADS score between 1 and 5. Outcomes of interest were: Gleason score upgrading, extra capsular extension (ECE), unfavorable prognosis (occurrence of both upgrading and ECE), large tumor volume (≥0.5ml), and seminal vesicle invasion (SVI). Receiver Operating Characteristic (ROC) curves and Decision Curve Analyses (DCA) were performed for models with and without inclusion of PIRADS score. Results Multivariate analysis demonstrated the association of PIRADS score with upgrading (P<0.0001), ECE (P<0.0001), unfavorable prognosis (P<0.0001), and large tumor volume (P = 0.002). ROC curves and DCA showed that models including PIRADS score resulted in greater net benefit for almost all the outcomes of interest, with the only exception of SVI. Conclusions mpMRI and PIRADS scoring are feasible tools in clinical setting and could be used as decision-support systems for a more accurate selection of patients eligible for AS. PMID:26444548

  13. Fear of fatness and drive for thinness in predicting smoking status in college women.

    PubMed

    Copeland, Amy L; Spears, Claire A; Baillie, Lauren E; McVay, Megan A

    2016-03-01

    Recent research has identified fear of fatness (FF) as a related yet distinct construct from drive for thinness (DT). Whereas DT may be associated with need for approval and an "approach" tendency, FF may be more strongly related to avoidance of disapproval and an avoidant problem-solving style. Although no research has directly compared the influence of FF vs. DT with regard to smoking behavior, FF and DT might represent distinct motivations for smoking. We predicted that both FF and DT would be significantly associated with cigarette smoking, but that FF would be a stronger predictor of smoking behavior, even after controlling for variables such as body mass index (BMI) and nicotine dependence. Participants (N=289) were female college undergraduate students. Daily smokers had the highest scores on measures of DT and FF, followed sequentially by infrequent smokers, "triers," and never smokers. More frequent smokers also reported greater levels of body dissatisfaction and eating pathology than less frequent and never-smokers. Hierarchical regression analyses showed that greater DT predicted higher likelihood of smoking on a daily basis; however, higher FF predicted fewer cigarettes smoked per day. FF and DT may each play a role in the relationship between eating pathology and smoking, but they might be differentially related to specific smoking patterns. Both FF and DT and their coinciding coping styles should be further researched in the role of smoking initiation and maintenance. PMID:26656671

  14. Low socioeconomic status predicts abnormal eating attitudes in Latin American female adolescents.

    PubMed

    Power, Yuri; Power, Lorena; Canadas, Maria Beatriz

    2008-01-01

    The objective of this study was to study the proportion of Ecuadorian students fulfilling criteria on the Eating Attitudes Test (EAT) in relation to socioeconomic status. Seven hundred and twenty three female adolescent participants recruited from Quito, Ecuador were administered a brief questionnaire consisting of the EAT-40 as well as lifestyle questions. Mean EAT-40 score was 17.12, with 14% fulfilling criteria. Lower socioeconomic status and watching more television predicted higher scores; however BMI, age, and positive smoking status failed to correlate. The presently unvalidated Spanish version of the EAT-26 highly correlated with the validated EAT-40 (R=0.94). A higher than expected proportion of Ecuadorians are at risk for eating disorders, especially among lower socioeconomic groups. The EAT-26 should be considered for validation as a primary screening tool in Latin America. PMID:18307113

  15. Technical status report on the prediction of amorphous phase separation in multicomponent borosilicate glasses. Revision 0

    SciTech Connect

    Peeler, D.K.

    1998-12-31

    This status report describes the current status for predicting of amorphous phase separation in multicomponent borosilicate glasses and the two major development criteria (composition and thermal history). The goal of this subtask is to perform targeted research activities to define and, where applicable, extend the boundaries of existing phase stability models that restrict HLW glass waste loading. Specifically, the focus will be on delimiting boundaries for immiscible phase separation. The development of data, understanding, and quantitative description for composition and kinetic effects on the development of amorphous phase separation will continue in FY98. This effort will provide insight into the compositional effects on phase stability and will lead to a better understanding of the methods used to predict the development of amorphous phase separation in HLW glasses.

  16. MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

    PubMed Central

    Korfiatis, Panagiotis; Kline, Timothy L.; Coufalova, Lucie; Lachance, Daniel H.; Parney, Ian F.; Carter, Rickey E.; Buckner, Jan C.; Erickson, Bradley J.

    2016-01-01

    Purpose: Imaging biomarker research focuses on discovering relationships between radiological features and histological findings. In glioblastoma patients, methylation of the O6-methylguanine methyltransferase (MGMT) gene promoter is positively correlated with an increased effectiveness of current standard of care. In this paper, the authors investigate texture features as potential imaging biomarkers for capturing the MGMT methylation status of glioblastoma multiforme (GBM) tumors when combined with supervised classification schemes. Methods: A retrospective study of 155 GBM patients with known MGMT methylation status was conducted. Co-occurrence and run length texture features were calculated, and both support vector machines (SVMs) and random forest classifiers were used to predict MGMT methylation status. Results: The best classification system (an SVM-based classifier) had a maximum area under the receiver-operating characteristic (ROC) curve of 0.85 (95% CI: 0.78–0.91) using four texture features (correlation, energy, entropy, and local intensity) originating from the T2-weighted images, yielding at the optimal threshold of the ROC curve, a sensitivity of 0.803 and a specificity of 0.813. Conclusions: Results show that supervised machine learning of MRI texture features can predict MGMT methylation status in preoperative GBM tumors, thus providing a new noninvasive imaging biomarker. PMID:27277032

  17. Validation of Afterbody Aeroheating Predictions for Planetary Probes: Status and Future Work

    NASA Technical Reports Server (NTRS)

    Wright, Michael J.; Brown, James L.; Sinha, Krishnendu; Candler, Graham V.; Milos, Frank S.; Prabhu, DInesh K.

    2005-01-01

    A review of the relevant flight conditions and physical models for planetary probe afterbody aeroheating calculations is given. Readily available sources of afterbody flight data and published attempts to computationally simulate those flights are summarized. A current status of the application of turbulence models to afterbody flows is presented. Finally, recommendations for additional analysis and testing that would reduce our uncertainties in our ability to accurately predict base heating levels are given.

  18. Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivity

    PubMed Central

    Amadoz, Alicia; Sebastian-Leon, Patricia; Vidal, Enrique; Salavert, Francisco; Dopazo, Joaquin

    2015-01-01

    Many complex traits, as drug response, are associated with changes in biological pathways rather than being caused by single gene alterations. Here, a predictive framework is presented in which gene expression data are recoded into activity statuses of signal transduction circuits (sub-pathways within signaling pathways that connect receptor proteins to final effector proteins that trigger cell actions). Such activity values are used as features by a prediction algorithm which can efficiently predict a continuous variable such as the IC50 value. The main advantage of this prediction method is that the features selected by the predictor, the signaling circuits, are themselves rich-informative, mechanism-based biomarkers which provide insight into or drug molecular mechanisms of action (MoA). PMID:26678097

  19. KRAS Genomic Status Predicts the Sensitivity of Ovarian Cancer Cells to Decitabine | Office of Cancer Genomics

    Cancer.gov

    Decitabine, a cancer therapeutic that inhibits DNA methylation, produces variable antitumor response rates in patients with solid tumors that might be leveraged clinically with identification of a predictive biomarker. In this study, we profiled the response of human ovarian, melanoma, and breast cancer cells treated with decitabine, finding that RAS/MEK/ERK pathway activation and DNMT1 expression correlated with cytotoxic activity. Further, we showed that KRAS genomic status predicted decitabine sensitivity in low-grade and high-grade serous ovarian cancer cells.

  20. Can hand dexterity predict the disability status of patients with multiple sclerosis?

    PubMed Central

    Ghandi Dezfuli, Masoumeh; Akbarfahimi, Malahat; Nabavi, Seyed Massood; Hassani Mehraban, Afsoon; Jafarzadehpur, Ebrahim

    2015-01-01

    Background: Multiple Sclerosis (MS) is the most common disabling neurological disease. Hand dysfunction is one of the main complaints of patients with MS. The present study aimed to compare hand dexterity of MS patients with low Expanded Disability Status Scale (EDSS) scores and healthy adults. It also sought to identify the predictors of disability status of patients with MS based on their manual dexterity and demographic characteristics. Methods: In this cross-sectional study, 60 (16 male/44 female) patients with MS and 60 (19 male/41 female) healthy people, who matched in terms of age and sex, were recruited. Their hand dexterity was evaluated by the Purdue Pegboard Test. The disability status of the MS group was determined by the Expanded Disability Status Scale. The data were analyzed using SPSS15. Results: The hand dexterity in MS group even with low EDSS score (1.5 ± 1.07) was weaker than control group. Moreover, the dexterity of dominant hand and alternating two hands coordination subtests of the PPT was a good discriminator between two groups (p<0.001). The results of linear regression analysis suggested dominant hand dexterity and disease duration as predictors of disability status that predict 60.5 per cent of the variation in EDSS scores in patients with MS (p<0.001). Conclusion: Reduced dominant hand dexterity in patients with MS is a disabling factor. Further research is recommended to determine if early hand rehabilitation can reduce the severity of disability in Patients with MS. PMID:26793646

  1. The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer

    PubMed Central

    Çelebi, Filiz; Pilancı, Kezban Nur; Ordu, Çetin; Ağacayak, Filiz; Alço, Gül; İlgün, Serkan; Sarsenov, Dauren; Erdoğan, Zeynep; Özmen, Vahit

    2015-01-01

    PURPOSE The correlation between imaging findings and pathologic characteristics of tumors may provide information for diagnosis and treatment of cancer. The aim of this study is to determine whether ultrasound features of breast cancer are associated with molecular subtype, histologic grade, and hormone receptor status, as well as assess the predictive value of these features. METHODS A total of 201 consecutive invasive breast cancer patients were reviewed from the database according to the Breast Imaging and Reporting Data System (BI-RADS). Tumor margins were classified as circumscribed and noncircumscribed. Noncircumscribed group was divided into indistinct, spiculated, angular, and microlobulated. The posterior acoustic features were divided into four categories: shadowing, enhancement, no change, and mixed pattern. RESULTS Tumors with posterior shadowing were more likely to be of nontriple negative subtype (odds ratio [OR], 7.42; 95% CI, 2.10–24.99; P = 0.002), low histologic grade (grade 1 or 2 vs. grade 3: OR, 2.42; 95% CI, 1.34–4.35; P = 0.003) and having at least one positive receptor (OR, 3.36; 95% CI, 1.55–7.26; P = 0.002). Tumors with circumscribed margins were more often triple-negative subtype (OR, 6.72; 95% CI, 2.56–17.65; P < 0.001), high grade (grade 3 vs. grade 1 or 2: OR, 5.42; 95% CI, 2.66–11.00; P < 0.001) and hormone receptor negative (OR, 4.87; 95% CI, 2.37–9.99; P < 0.001). CONCLUSION Sonographic features are strongly associated with molecular subtype, histologic grade, and hormone receptor status of the tumor. These findings may separate triple-negative breast cancer from other molecular subtypes. PMID:26359880

  2. Pretreatment Primary Tumor SUVmax Measured by FDG-PET and Pathologic Tumor Depth Predict for Poor Outcomes in Patients With Oral Cavity Squamous Cell Carcinoma and Pathologically Positive Lymph Nodes

    SciTech Connect

    Liao, C.-T.; Chang, Joseph T.-C.; Wang, H.-M.; Ng, S.-H.; Hsueh, C.; Lee, L.-Y.; Lin, C.-H.; Chen, I.-H.; Huang, S.-F.

    2009-03-01

    Purpose: The pathologic tumor depth is an independent prognosticator for local control (LC) and survival in patients with oral cavity squamous cell carcinoma (OSCC). We sought to investigate the prognostic value of the preoperative maximal standardized uptake value (SUVmax) at the primary tumor in OSCC patients with pathologically positive lymph nodes. Methods and Materials: A total of 109 OSCC patients with pathologically positive lymph nodes were investigated. All patients underwent 2-deoxy-2[(18)F]fluoro-D-glucose-positron emission tomography within 2 weeks before surgery and neck dissection. All patients were followed for {>=}24 months after surgery or until death. The optimal cutoff value for the primary tumor SUVmax was selected according to the 5-year LC rate. Independent prognosticators were identified by Cox regression analysis. Results: The median follow-up for all patients was 26 months (39 months for surviving patients). A cutoff SUVmax of 19.3 provided the greatest prognostic information for the 5-year LC rate (55% vs. 88%, p = 0.0135). A tumor depth {>=}12 mm appeared to be the most appropriate cutoff for predicting the 5-year LC rate (76% vs. 95%, p = 0.0075). A scoring system using the primary tumor SUVmax and tumor depth was formulated to define distinct prognostic groups. Patients with both a SUVmax of {>=}19.3 and tumor depth of {>=}12 mm (n = 8) had significantly poorer 5-year LC, 5-year disease-free, 5-year disease-specific, and 5-year overall survival rates compared with the other patient groups. Conclusion: The combination of the primary tumor SUVmax ({>=}19.3) and pathologic tumor depth ({>=}12 mm) identified a subgroup of OSCC patients at greatest risk of poor LC and death.

  3. Mental health status, aggression, and poor driving distinguish traffic offenders from non-offenders but health status predicts driving behavior in both groups

    PubMed Central

    Abdoli, Nasrin; Farnia, Vahid; Delavar, Ali; Dortaj, Fariborz; Esmaeili, Alireza; Farrokhi, Noorali; Karami, Majid; Shakeri, Jalal; Holsboer-Trachsler, Edith; Brand, Serge

    2015-01-01

    Background In Iran, traffic accidents and deaths from traffic accidents are among the highest in the world, and generally, driver behavior rather than technical failures or environmental conditions are responsible for traffic accidents. In a previous study, we showed that among young Iranian male traffic offenders, poor mental health status, along with aggression, predicted poor driving behavior. The aims of the present study were twofold, to determine whether this pattern could be replicated among non-traffic offenders, and to compare the mental health status, aggression, and driving behavior of male traffic offenders and non-offenders. Methods A total of 850 male drivers (mean age =34.25 years, standard deviation =10.44) from Kermanshah (Iran) took part in the study. Of these, 443 were offenders (52.1%) and 407 (47.9%) were non-offenders with lowest driving penalty scores applying for attaining an international driving license. Participants completed a questionnaire booklet covering socio-demographic variables, traits of aggression, health status, and driving behavior. Results Compared to non-offenders, offenders reported higher aggression, poorer mental health status, and worse driving behavior. Among non-offenders, multiple regression indicated that poor health status, but not aggression, independently predicted poor driving behavior. Conclusion Compared to non-offenders, offenders reported higher aggression, poorer health status and driving behavior. Further, the predictive power of poorer mental health status, but not aggression, for driving behavior was replicated for male non-offenders. PMID:26300646

  4. Pathological tremor prediction using surface EMG and acceleration: potential use in “ON-OFF” demand driven deep brain stimulator design

    PubMed Central

    Basu, Ishita; Graupe, Daniel; Tuninetti, Daniela; Shukla, Pitamber; Slavin, Konstantin V.; Metman, Leo Verhagen; Corcos, Daniel M.

    2013-01-01

    Objective We present a proof of concept for a novel method of predicting the onset of pathological tremor using non-invasively measured surface electromyogram (sEMG) and acceleration from tremor-affected extremities of patients with Parkinson’s disease (PD) and Essential tremor (ET). Approach The tremor prediction algorithm uses a set of spectral (fourier and wavelet) and non-linear time series (entropy and recurrence rate) parameters extracted from the non-invasively recorded sEMG and acceleration signals. Main results The resulting algorithm is shown to successfully predict tremor onset for all 91 trials recorded in 4 PD patients and for all 91 trials recorded in 4 ET patients. The predictor achieves a 100% sensitivity for all trials considered, along with an overall accuracy of 85.7% for all ET trials and 80.2% for all PD trials. By using a Pearson’s chi-square test, the prediction results are shown to significantly differ from a random prediction outcome. Significance The tremor prediction algorithm can be potentially used for designing the next generation of non-invasive closed-loop predictive ON-OFF controllers for deep brain stimulation (DBS), used for suppressing pathological tremor in such patients. Such a system is based on alternating ON and OFF DBS periods, an incoming tremor being predicted during the time intervals when DBS is OFF, so as to turn DBS back ON. The prediction should be a few seconds before tremor re-appears so that the patient is tremor-free for the entire DBS ON-OFF cycle as well as the tremor-free DBS OFF interval should be maximized in order to minimize the current injected in the brain and battery usage. PMID:23658233

  5. Pathological tremor prediction using surface electromyogram and acceleration: potential use in ‘ON-OFF’ demand driven deep brain stimulator design

    NASA Astrophysics Data System (ADS)

    Basu, Ishita; Graupe, Daniel; Tuninetti, Daniela; Shukla, Pitamber; Slavin, Konstantin V.; Verhagen Metman, Leo; Corcos, Daniel M.

    2013-06-01

    Objective. We present a proof of concept for a novel method of predicting the onset of pathological tremor using non-invasively measured surface electromyogram (sEMG) and acceleration from tremor-affected extremities of patients with Parkinson’s disease (PD) and essential tremor (ET). Approach. The tremor prediction algorithm uses a set of spectral (Fourier and wavelet) and nonlinear time series (entropy and recurrence rate) parameters extracted from the non-invasively recorded sEMG and acceleration signals. Main results. The resulting algorithm is shown to successfully predict tremor onset for all 91 trials recorded in 4 PD patients and for all 91 trials recorded in 4 ET patients. The predictor achieves a 100% sensitivity for all trials considered, along with an overall accuracy of 85.7% for all ET trials and 80.2% for all PD trials. By using a Pearson’s chi-square test, the prediction results are shown to significantly differ from a random prediction outcome. Significance. The tremor prediction algorithm can be potentially used for designing the next generation of non-invasive closed-loop predictive ON-OFF controllers for deep brain stimulation (DBS), used for suppressing pathological tremor in such patients. Such a system is based on alternating ON and OFF DBS periods, an incoming tremor being predicted during the time intervals when DBS is OFF, so as to turn DBS back ON. The prediction should be a few seconds before tremor re-appears so that the patient is tremor-free for the entire DBS ON-OFF cycle and the tremor-free DBS OFF interval should be maximized in order to minimize the current injected in the brain and battery usage.

  6. Female aggression and the maintenance of monogamy: female behaviour predicts male mating status in European starlings

    PubMed Central

    Sandell, M. I.

    1998-01-01

    Any reduction in the fitness of a breeding female induced by the settlement of additional females with her mate creates a conflict between the sexes over mating system. In birds, females are often aggressive towards other females but few studies have been able to quantify the importance of female-female aggression for the maintenance of monogamy. This study of the European starling, Sturnus vulgaris, quantifies male and female behaviour towards a potential prospecting female, presented in a cage during the pre-laying period, and relates it to the subsequent mating status of the male. A solitary breeding male was given the opportunity to attract an additional mate, which almost half of the males did. No biometric characters of the male or female were related to the subsequent mating status. Males demonstrated mate-attraction behaviour towards the caged female but the behaviour of the male did not predict the likelihood to attract an additional female. However, the proportion of time that the female spent near the potential settler was related to mating status, indicating that females that reacted more strongly towards a potential female competitor maintained their monogamous status. These results suggest that female behaviour may play an important role in shaping the mating system of facultatively polygynous species.

  7. Overview of the status of predictive computer models for skin sensitization (JRC Expert meeting on pre- and pro-haptens )

    EPA Science Inventory

    No abstract was prepared or requested. This is a short presentation aiming to present a status of what in silico models and approaches exists in the prediction of skin sensitization potential and/or potency.

  8. Predicting Infant Maltreatment in Low-Income Families: The Interactive Effects of Maternal Attributions and Child Status at Birth

    ERIC Educational Resources Information Center

    Bugental, Daphne Blunt; Happaney, Keith

    2004-01-01

    Maternal attributions and child neonatal status at birth were assessed as predictors of infant maltreatment (harsh parenting and safety neglect). The population included low-income, low-education families who were primarily Hispanic. Child maltreatment during the 1st year of life (N = 73) was predicted by neonatal status (low Apgar scores, preterm…

  9. A text mining approach to the prediction of disease status from clinical discharge summaries.

    PubMed

    Yang, Hui; Spasic, Irena; Keane, John A; Nenadic, Goran

    2009-01-01

    OBJECTIVE The authors present a system developed for the Challenge in Natural Language Processing for Clinical Data-the i2b2 obesity challenge, whose aim was to automatically identify the status of obesity and 15 related co-morbidities in patients using their clinical discharge summaries. The challenge consisted of two tasks, textual and intuitive. The textual task was to identify explicit references to the diseases, whereas the intuitive task focused on the prediction of the disease status when the evidence was not explicitly asserted. DESIGN The authors assembled a set of resources to lexically and semantically profile the diseases and their associated symptoms, treatments, etc. These features were explored in a hybrid text mining approach, which combined dictionary look-up, rule-based, and machine-learning methods. MEASUREMENTS The methods were applied on a set of 507 previously unseen discharge summaries, and the predictions were evaluated against a manually prepared gold standard. The overall ranking of the participating teams was primarily based on the macro-averaged F-measure. RESULTS The implemented method achieved the macro-averaged F-measure of 81% for the textual task (which was the highest achieved in the challenge) and 63% for the intuitive task (ranked 7(th) out of 28 teams-the highest was 66%). The micro-averaged F-measure showed an average accuracy of 97% for textual and 96% for intuitive annotations. CONCLUSIONS The performance achieved was in line with the agreement between human annotators, indicating the potential of text mining for accurate and efficient prediction of disease statuses from clinical discharge summaries. PMID:19390098

  10. Prediction of daily food intake as a function of measurement modality and restriction status

    PubMed Central

    Giuliani, Nicole R.; Tomiyama, A. Janet; Mann, Traci; Berkman, Elliot T.

    2015-01-01

    OBJECTIVE Eating research relies on several kinds of indices (e.g., stable, momentary, neural) to accurately reflect food-related reactivity (e.g., disinhibition) and regulation (e.g., restraint) outside the laboratory. However, the degree to which the most commonly used indices predict real-world food consumption, and whether they do so differentially, is largely unknown. Additionally, the predictive validity of these indices might vary depending on whether or not an individual is actively restricting intake. METHODS We assessed food reactivity and food craving regulation in 46 healthy participants (30 female, age 18–30) using standard measurements in three modalities: (1) self-reported (stable) traits using surveys that are popular in the eating literature, and (2) momentary craving ratings and (3) neural activation using aggregated fMRI data gathered during a food reactivity-and-regulation task. We then used these data to predict variance in real-world consumption of craved energy-dense “target” foods across two weeks among normal-weight participants randomly assigned to restrict or monitor their target food intake. RESULTS The predictive validity of 4 of the 6 indices varied significantly by restriction status. When participants were not restricting intake, momentary (B = 0.21, SE = 0.05) and neural (B = 0.08, SE = 0.04) reactivity positively predicted consumption, and stable (B = −0.22, SE = 0.05) and momentary (B = −0.24, SE = 0.05) regulation negatively predicted consumption. When restricting, stable (B = 0.36, SE = 0.12) and neural (B = 0.51, SE = 0.12) regulation positively predicted consumption. CONCLUSIONS Commonly used indices of regulation and reactivity differentially relate to an ecologically-valid eating measurement depending on the presence of restriction goals, and thus have strong implications for predicting real-world behaviors. PMID:25984820

  11. Do Early-Life Conditions Predict Functional Health Status in Adulthood? The Case of Mexico

    PubMed Central

    Huang, Cheng; Soldo, Beth J; Elo, Irma T

    2010-01-01

    Relatively few researchers have investigated early antecedents of adult functional limitations in developing countries. In this study, we assessed associations between childhood conditions and adult lower-body functional limitations (LBFL) as well as the potential mediating role of adult socioeconomic status, smoking, body mass index, and chronic diseases or symptoms. Based on data from the Mexican Health and Aging Study (MHAS) of individuals born prior to 1951 and contacted in 2001 and 2003, we found that childhood nutritional deprivation, serious health problems, and family background predict adult LBFL in Mexico. Adjustment for the potential mediators in adulthood attenuates these associations only to a modest degree. PMID:21074924

  12. Spatial-Temporal [{sup 18}F]FDG-PET Features for Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemoradiation Therapy

    SciTech Connect

    Tan, Shan; Kligerman, Seth; Chen, Wengen; Lu, Minh; Kim, Grace; Feigenberg, Steven; D'Souza, Warren D.; Suntharalingam, Mohan; Lu, Wei

    2013-04-01

    Purpose: To extract and study comprehensive spatial-temporal {sup 18}F-labeled fluorodeoxyglucose ([{sup 18}F]FDG) positron emission tomography (PET) features for the prediction of pathologic tumor response to neoadjuvant chemoradiation therapy (CRT) in esophageal cancer. Methods and Materials: Twenty patients with esophageal cancer were treated with trimodal therapy (CRT plus surgery) and underwent [{sup 18}F]FDG-PET/CT scans both before (pre-CRT) and after (post-CRT) CRT. The 2 scans were rigidly registered. A tumor volume was semiautomatically delineated using a threshold standardized uptake value (SUV) of ≥2.5, followed by manual editing. Comprehensive features were extracted to characterize SUV intensity distribution, spatial patterns (texture), tumor geometry, and associated changes resulting from CRT. The usefulness of each feature in predicting pathologic tumor response to CRT was evaluated using the area under the receiver operating characteristic curve (AUC) value. Results: The best traditional response measure was decline in maximum SUV (SUV{sub max}; AUC, 0.76). Two new intensity features, decline in mean SUV (SUV{sub mean}) and skewness, and 3 texture features (inertia, correlation, and cluster prominence) were found to be significant predictors with AUC values ≥0.76. According to these features, a tumor was more likely to be a responder when the SUV{sub mean} decline was larger, when there were relatively fewer voxels with higher SUV values pre-CRT, or when [{sup 18}F]FDG uptake post-CRT was relatively homogeneous. All of the most accurate predictive features were extracted from the entire tumor rather than from the most active part of the tumor. For SUV intensity features and tumor size features, changes were more predictive than pre- or post-CRT assessment alone. Conclusion: Spatial-temporal [{sup 18}F]FDG-PET features were found to be useful predictors of pathologic tumor response to neoadjuvant CRT in esophageal cancer.

  13. Status of the observed and predicted b anti-b production at the Tevatron

    SciTech Connect

    Happacher, F.; Giromini, P.; Ptohos, F.; /Cyprus U.

    2005-09-01

    The authors review the experimental status of the b-quark production at the Fermilab Tevatron. They compare all available measurements to perturbative QCD predictions (NLO and FONLL) and also to the parton-level cross section evaluated with parton-shower Monte Carlo generators. They examine both the single b cross section and the so called b{bar b} correlations. The review shows that the experimental situation is quite complicated because the measurements appear to be inconsistent among themselves. In this situation, there is no solid basis to either claim that perturbative QCD is challenged by these measurements or, in contrast, that long-standing discrepancies between data and theory have been resolved by incrementally improving the measurements and the theoretical prediction.

  14. Computational Pathology

    PubMed Central

    Louis, David N.; Feldman, Michael; Carter, Alexis B.; Dighe, Anand S.; Pfeifer, John D.; Bry, Lynn; Almeida, Jonas S.; Saltz, Joel; Braun, Jonathan; Tomaszewski, John E.; Gilbertson, John R.; Sinard, John H.; Gerber, Georg K.; Galli, Stephen J.; Golden, Jeffrey A.; Becich, Michael J.

    2016-01-01

    Context We define the scope and needs within the new discipline of computational pathology, a discipline critical to the future of both the practice of pathology and, more broadly, medical practice in general. Objective To define the scope and needs of computational pathology. Data Sources A meeting was convened in Boston, Massachusetts, in July 2014 prior to the annual Association of Pathology Chairs meeting, and it was attended by a variety of pathologists, including individuals highly invested in pathology informatics as well as chairs of pathology departments. Conclusions The meeting made recommendations to promote computational pathology, including clearly defining the field and articulating its value propositions; asserting that the value propositions for health care systems must include means to incorporate robust computational approaches to implement data-driven methods that aid in guiding individual and population health care; leveraging computational pathology as a center for data interpretation in modern health care systems; stating that realizing the value proposition will require working with institutional administrations, other departments, and pathology colleagues; declaring that a robust pipeline should be fostered that trains and develops future computational pathologists, for those with both pathology and non-pathology backgrounds; and deciding that computational pathology should serve as a hub for data-related research in health care systems. The dissemination of these recommendations to pathology and bioinformatics departments should help facilitate the development of computational pathology. PMID:26098131

  15. Functional Status Predicts Acute Care Readmissions from Inpatient Rehabilitation in the Stroke Population

    PubMed Central

    Slocum, Chloe; Gerrard, Paul; Black-Schaffer, Randie; Goldstein, Richard; Singhal, Aneesh; DiVita, Margaret A.; Ryan, Colleen M.; Mix, Jacqueline; Purohit, Maulik; Niewczyk, Paulette; Kazis, Lewis; Zafonte, Ross; Schneider, Jeffrey C.

    2015-01-01

    Objective Acute care readmission risk is an increasingly recognized problem that has garnered significant attention, yet the reasons for acute care readmission in the inpatient rehabilitation population are complex and likely multifactorial. Information on both medical comorbidities and functional status is routinely collected for stroke patients participating in inpatient rehabilitation. We sought to determine whether functional status is a more robust predictor of acute care readmissions in the inpatient rehabilitation stroke population compared with medical comorbidities using a large, administrative data set. Methods A retrospective analysis of data from the Uniform Data System for Medical Rehabilitation from the years 2002 to 2011 was performed examining stroke patients admitted to inpatient rehabilitation facilities. A Basic Model for predicting acute care readmission risk based on age and functional status was compared with models incorporating functional status and medical comorbidities (Basic-Plus) or models including age and medical comorbidities alone (Age-Comorbidity). C-statistics were compared to evaluate model performance. Findings There were a total of 803,124 patients: 88,187 (11%) patients were transferred back to an acute hospital: 22,247 (2.8%) within 3 days, 43,481 (5.4%) within 7 days, and 85,431 (10.6%) within 30 days. The C-statistics for the Basic Model were 0.701, 0.672, and 0.682 at days 3, 7, and 30 respectively. As compared to the Basic Model, the best-performing Basic-Plus model was the Basic+Elixhauser model with C-statistics differences of +0.011, +0.011, and + 0.012, and the best-performing Age-Comorbidity model was the Age+Elixhauser model with C-statistic differences of -0.124, -0.098, and -0.098 at days 3, 7, and 30 respectively. Conclusions Readmission models for the inpatient rehabilitation stroke population based on functional status and age showed better predictive ability than models based on medical comorbidities. PMID

  16. Effects of EZH2 promoter polymorphisms and methylation status on oral squamous cell carcinoma susceptibility and pathology

    PubMed Central

    Su, Kuo-Jung; Lin, Chiao-Wen; Chen, Mu-Kuan; Yang, Shun-Fa; Yu, Yung-Luen

    2015-01-01

    Oral squamous cell carcinoma (OSCC), which is malignant tumors in oral cavity, is the fourth most common male cancer in Taiwan. EZH2 plays a key role in transcriptional repression through chromatin remodeling and in cancer development. Although the EZH2 expression in OSCC is highly correlated with tumorigenesis, it has not been determined if specific EZH2 genetic variants are associated with OSCC risk. The aim of this study was to investigate the relationship between genetic polymorphisms of EZH2 and susceptibility to OSCC in Taiwan. Here, four SNPs of EZH2 (rs6950683, rs2302427, rs3757441, and rs41277434) were analyzed by a real-time PCR genotyping in 576 patients with oral cancer and 552 cancer-free controls. After adjusting for other co-variants, we found that carrying CC genotype at EZH2 rs6950683 and rs3757441 had a lower risk of developing OSCC than did wild-type carriers. The CCCA or CCTA haplotype among the four EZH2 sites was also associated with a reduced risk of OSCC. Furthermore, OSCC patients who carried CC genotype at EZH2 rs6950683 had a higher methylation than TC genotype. Our results suggest that the two SNPs of EZH2 (rs6950683 and rs3757441) might contribute to the prediction of OSCC susceptibility. Moreover, rs6950683 CC genotype exhibits hypermethylation in EZH2 promoter. This is the first study to provide insight into risk factors associated with EZH2 variants and epigenetic changes in carcinogenesis of OSCC in Taiwan. PMID:26807327

  17. The Use of Exome Genotyping to Predict Pathological Gleason Score Upgrade after Radical Prostatectomy in Low-Risk Prostate Cancer Patients

    PubMed Central

    Oh, Jong Jin; Park, Seunghyun; Lee, Sang Eun; Hong, Sung Kyu; Lee, Sangchul; Choe, Gheeyoung

    2014-01-01

    Background Active surveillance (AS) is a promising option for patients with low-risk prostate cancer (PCa), however current criteria could not select the patients correctly, many patients who fulfilled recent AS criteria experienced pathological Gleason score upgrade (PGU) after radical prostatectomy (RP). In this study, we aimed to develop an accurate model for predicting PGU among low-risk PCa patients by using exome genotyping. Methods We genotyped 242,221 single nucleotide polymorphisms (SNP)s on a custom HumanExome BeadChip v1.0 (Illuminam Inc.) in blood DNA from 257 low risk PCa patients (PSA <10 ng/ml, biopsy Gleason score (GS) ≤6 and clinical stage ≤T2a) who underwent radical prostatectomy. Genetic data were analyzed using an unconditional logistic regression to calculate an odds ratio as an estimate of relative risk of PGU, which defined pathologic GS above 7. Among them, we selected persistent SNPs after multiple testing using FDR method, and we compared accuracies from the multivariate logistic model incorporating clinical factors between included and excluded selected SNP information. Results After analysis of exome genotyping, 15 SNPs were significant to predict PGU in low risk PCa patients. Among them, one SNP – rs33999879 remained significant after multiple testing. When a multivariate model incorporating factors in Epstein definition – PSA density, biopsy GS, positive core number, tumor per core ratio and age was devised for the prediction of PGU, the predictive accuracy of the multivariate model was 78.4% (95%CI: 0.726–0.834). By addition the factor of rs33999879 in aforementioned multivariate model, the predictive accuracy was 82.9%, which was significantly increased (p = 0.0196). Conclusion The rs33999879 SNP is a predictor for PGU. The addition of genetic information from the exome sequencing effectively enhanced the predictive accuracy of the multivariate model to establish suitable active surveillance criteria. PMID:25093842

  18. Influence of socioeconomic status on lung function and prediction equations in Indian children.

    PubMed

    Raju, P Sitarama; Prasad, K V V; Ramana, Y Venkata; Balakrishna, N; Murthy, K J R

    2005-06-01

    The present study was carried out to assess the influence of socioeconomic status on lung functions and to suggest prediction equations for Indian children. For this purpose, 2,616 normal, healthy schoolchildren aged between 5-15 years were recruited. Boys were classified into three groups, i.e., high-income (HIG), middle-income (MIG), and low-income (LIG), while girls were classified into HIG and LIG groups, based on socioeconomic status (SES). Height, weight, chest circumference, body surface area (BSA), fat-free mass (FFM), and body fat were assessed. Forced expiratory volume in 1 sec (FEV1), forced vital capacity (FVC), FEV1/FVC ratio, and peak expiratory flow rate (PEFR) were measured. The results, before and after adjustment of physical characteristics, showed that anthropometry, body composition, and lung functions were significantly higher in HIG compared to MIG and LIG children, while in girls, no differences were observed in physical characteristics after adjustments. Multiple linear regression equations were developed to predict FEV1, FVC, and PEFR, using independent variables like age, height, fat-free mass, and SES. It is opined that these equations could be used as Indian reference equations for healthy children based on the SES. PMID:15789442

  19. KRAS genomic status predicts the sensitivity of ovarian cancer cells to decitabine

    PubMed Central

    Stewart, ML; Tamayo, P; Wilson, AJ; Wang, S; Chang, YM; Kim, JW; Khabele, D; Shamji, AF; Schreiber, SL

    2015-01-01

    Decitabine, a cancer therapeutic that inhibits DNA methylation, produces variable antitumor response rates in patients with solid tumors that might be leveraged clinically with identification of a predictive biomarker. In this study, we profiled the response of human ovarian, melanoma and breast cancer cells treated with decitabine, finding that RAS/MEK/ERK pathway activation and DNMT1 expression correlated with cytotoxic activity. Further, we showed that KRAS genomic status predicted decitabine sensitivity in low and high-grade serous ovarian cancer cells. Pre-treatment with decitabine decreased the cytotoxic activity of MEK inhibitors in KRAS-mutant ovarian cancer cells, with reciprocal downregulation of DNMT1 and MEK/ERK phosphorylation. In parallel with these responses, decitabine also upregulated the pro-apoptotic BCL-2 family member BNIP3, which is known to be regulated by MEK and ERK, and heightened the activity of pro-apoptotic small molecule navitoclax, a BCL-2 family inhibitor. In a xenograft model of KRAS-mutant ovarian cancer, combining decitabine and navitoclax heighted antitumor activity beyond administration of either compound alone. Our results define the RAS/MEK/DNMT1 pathway as a determinant of sensitivity to DNA methyltransferase inhibition, specifically implicating KRAS status as a biomarker of drug response in ovarian cancer. PMID:25968887

  20. Juvenile social status predicts primary sex allocation in a sex changing fish.

    PubMed

    Solomon-Lane, Tessa K; Shvidkaya, Polina; Thomas, Alma; Williams, Megan M; Rhyne, Andrew; Rogers, Lock; Grober, Matthew S

    2016-07-01

    Both individual sex and population sex ratio can affect lifetime reproductive success. As a result, multiple mechanisms have evolved to regulate sexual phenotype, including adult sex change in fishes. While adult sex change is typically socially regulated, few studies focus on the non-chromosomal mechanisms regulating primary sex allocation. We investigated primary sex determination in the bluebanded goby (Lythrypnus dalli), a bidirectionally sex-changing fish. Of the studies investigating primary sex determination in species with adult sex change, this is the first to incorporate the roles of social status and size, key factors for determining adult sex allocation. For L. dalli, adult sex is regulated by social status: dominants are male; subordinates are female. In social groups of laboratory-reared juveniles, we demonstrate that status also predicts primary sex. Dominant juveniles developed male-typical genitalia, and their gonads contained significantly less ovarian tissue than subordinates, which developed female-typical genitalia. To better understand natural development, we quantified the distribution of juveniles and adults on the reef and analyzed genital papilla and gonad morphology in a sample of wild-caught juveniles. Juveniles were observed in various social environments, and most grouped with other juveniles and/or adults. The majority of field-caught juveniles had female-typical genitalia and bisexual, female-biased gonads. These data are consistent with a single mechanism that regulates sexual phenotype throughout life. Social status could first cause and then maintain through adulthood a female-biased population, allowing individuals to regulate sex based on local conditions, which is important for optimizing lifetime reproductive success. PMID:27402570

  1. Predictive role of microRNA-related genetic polymorphisms in the pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer patients

    PubMed Central

    Dreussi, Eva; Pucciarelli, Salvatore; De Paoli, Antonino; Polesel, Jerry; Canzonieri, Vincenzo; Agostini, Marco; Friso, Maria Luisa; Belluco, Claudio; Buonadonna, Angela; Lonardi, Sara; Zanusso, Chiara; De Mattia, Elena; Toffoli, Giuseppe; Cecchin, Erika

    2016-01-01

    In rectal cancer, a pathologic complete response (pCR) to pre-operative treatment is a favourable prognostic marker, but is reported in a minority of the patients. We aimed at identifying microRNA-related host genetic polymorphisms predictive of pCR. A panel of 114 microRNA-related tagging polymorphisms was selected and analyzed on 265 locally advanced rectal cancer patients treated with neoadjuvant chemo-radiotherapy. Patients were stratified in two subgroups according to the radiotherapy dose (50.4Gy for 202 patients, 55.0Gy for 78 patients). Interactions among genetic and clinical-pathological variants were investigated by recursive partitioning analysis. Only polymorphisms with a consistent significant effect in the two subgroups of patients were selected as predictive markers of pCR. The results were validated by bootstrap analysis. SMAD3-rs744910, SMAD3-rs745103, and TRBP-rs6088619 were associated to an increased chance of pCR (p=0.0153, p=0.0471, p=0.0125). DROSHA-rs10719 and SMAD3-rs17228212 had an opposite detrimental effect on pathological tumour response (p=0.0274, p=0.0049). Recursive partitioning analysis highlighted that a longer interval time between the end of radiotherapy and surgery increases the chance of pCR in patients with a specific combination of SMAD3-rs744910 and TRBP-rs6088619 genotypes. This study demonstrated that microRNA-related host genetic polymorphisms can predict pCR to neo-adjuvant chemo-radiotherapy, and could be used to personalize the interval time between the end of radiotherapy and surgery. PMID:26934318

  2. Circulating mRNA Profiling in Esophageal Squamous Cell Carcinoma Identifies FAM84B As A Biomarker In Predicting Pathological Response to Neoadjuvant Chemoradiation

    PubMed Central

    Hsu, Feng-Ming; Chia-Hsien Cheng, Jason; Chang, Yih-Leong; Lee, Jang-Ming; Koong, Albert C.; Chuang, Eric Y.

    2015-01-01

    Esophageal cancer patients with pathological complete response (pCR) to neoadjuvant chemoradiation (CRT) have favorable outcomes. Currently, there was no reliable biomarker predicting the response to CRT. Perioperative circulating mRNA may be associated with prognosis, but its application for predicting treatment response is unclear. We prospectively assessed the value of circulating messenger RNA (mRNA) profiling in predicting pCR for esophageal squamous cell carcinoma (ESCC). Patients with ESCC completing CRT followed by surgery were enrolled for analysis. Venous peripheral blood was obtained before and after CRT, and total RNA was extracted for hybridization-based whole genome expression analysis and quantitative RT-PCR. We found circulating expression profiling was significantly altered after CRT. Altered FAM84B expression was significantly predictive of pCR. The decrease of serum FAM84B protein level after CRT was also associated with pCR. Immunohistochemistry and western blot confirmed that FAM84B protein was overexpressed in the majority of patients and ESCC cell lines. Furthermore, knockdown of FAM84B delayed tumor growth in ectopic xenografts. We demonstrated the decreased of circulating FAM84B mRNA and protein after neoadjuvant CRT may predict pCR, and FAM84B protein is overexpressed in ESCC. The potential of FAM84B as a novel predictive biomarker, and its biological functions deserve further investigation. PMID:25980316

  3. New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients

    PubMed Central

    Kohrt, Holbrook E; Olshen, Richard A; Bermas, Honnie R; Goodson, William H; Wood, Douglas J; Henry, Solomon; Rouse, Robert V; Bailey, Lisa; Philben, Vicki J; Dirbas, Frederick M; Dunn, Jocelyn J; Johnson, Denise L; Wapnir, Irene L; Carlson, Robert W; Stockdale, Frank E; Hansen, Nora M; Jeffrey, Stefanie S

    2008-01-01

    Background Current practice is to perform a completion axillary lymph node dissection (ALND) for breast cancer patients with tumor-involved sentinel lymph nodes (SLNs), although fewer than half will have non-sentinel node (NSLN) metastasis. Our goal was to develop new models to quantify the risk of NSLN metastasis in SLN-positive patients and to compare predictive capabilities to another widely used model. Methods We constructed three models to predict NSLN status: recursive partitioning with receiver operating characteristic curves (RP-ROC), boosted Classification and Regression Trees (CART), and multivariate logistic regression (MLR) informed by CART. Data were compiled from a multicenter Northern California and Oregon database of 784 patients who prospectively underwent SLN biopsy and completion ALND. We compared the predictive abilities of our best model and the Memorial Sloan-Kettering Breast Cancer Nomogram (Nomogram) in our dataset and an independent dataset from Northwestern University. Results 285 patients had positive SLNs, of which 213 had known angiolymphatic invasion status and 171 had complete pathologic data including hormone receptor status. 264 (93%) patients had limited SLN disease (micrometastasis, 70%, or isolated tumor cells, 23%). 101 (35%) of all SLN-positive patients had tumor-involved NSLNs. Three variables (tumor size, angiolymphatic invasion, and SLN metastasis size) predicted risk in all our models. RP-ROC and boosted CART stratified patients into four risk levels. MLR informed by CART was most accurate. Using two composite predictors calculated from three variables, MLR informed by CART was more accurate than the Nomogram computed using eight predictors. In our dataset, area under ROC curve (AUC) was 0.83/0.85 for MLR (n = 213/n = 171) and 0.77 for Nomogram (n = 171). When applied to an independent dataset (n = 77), AUC was 0.74 for our model and 0.62 for Nomogram. The composite predictors in our model were the product of angiolymphatic

  4. Goal Attribution toward Non-Human Objects during Infancy Predicts Imaginary Companion Status during Preschool Years

    PubMed Central

    Moriguchi, Yusuke; Kanakogi, Yasuhiro; Todo, Naoya; Okumura, Yuko; Shinohara, Ikuko; Itakura, Shoji

    2016-01-01

    It has been shown that there is a significant relationship between children's mentalizing skills and creation of an imaginary companion (IC). Theorists have proposed that interaction with an IC may improve mentalizing skills, but it is also possible that children's mentalizing skills affect their creation of an IC. In this longitudinal study, we examined whether goal attribution in infants younger than 1 years old (Time 1) predicted their creation of ICs at 48 months old (Time 2). At Time 1, infants' goal attribution was measured in an action prediction experiment, where infants anticipated three types of action goals: (1) another person's goal-directed action (GH condition); (2) another person's non-goal-directed (BH condition); and (3) a mechanical claw's goal-directed action (MC condition). At Time 2, parents completed questionnaires assessing whether their children had ICs. The path analyses using Bayesian estimation revealed that infants' anticipation in the MC condition, but not in the GH and BH conditions, predicted their later IC status. These results indicate that infants' goal attributions to non-human agents may be a strong predictor of their later IC creation. Early mentalizing skills toward non-human objects may provide children with a basis for their engagement in imaginative play. PMID:26941682

  5. Lumped Parameter Modeling as a Predictive Tool for a Battery Status Monitor

    SciTech Connect

    Jon P. Christophersen; Chester G. Motloch; Chinh D. Ho; John L. Morrison; Ronald C. Fenton; Vincent S. Battaglia; Tien Q. Duong

    2003-10-01

    The Advanced Technology Development Program is currently evaluating the performance of the second generation of lithium-ion cells (i.e., Gen 2 cells). Both the Gen 2 Baseline and Variant C cells are tested in accordance with the cell-specific test plan, and are removed at roughly equal power fade increments and sent for destructive diagnostic analysis. The diagnostic laboratories did not need all test cells for analysis, and returned five spare cells to the Idaho National Engineering and Environmental Laboratory (INEEL). INEEL used these cells for special pulse testing at various duty cycles, amplitudes, and durations to investigate the usefulness of the lumped parameter model (LPM) as a predictive tool in a battery status monitor (BSM). The LPM is a simplified linear model that accurately predicts the voltage response during certain pulse conditions. A database of parameter trends should enable dynamic predictions of state-of-charge and state-of-health conditions during in-vehicle pulsing. This information could be used by the BSM to provide accurate information to the vehicle control system.

  6. Musculoskeletal Pathology.

    PubMed

    Peat, Frances J; Kawcak, Christopher E

    2015-08-01

    The current understanding of pathology as it relates to common diseases of the equine musculoskeletal system is reviewed. Conditions are organized under the fundamental categories of developmental, exercise-induced, infectious, and miscellaneous pathology. The overview of developmental pathology incorporates the new classification system of juvenile osteochondral conditions. Discussion of exercise-induced pathology emphasizes increased understanding of the contribution of cumulative microdamage caused by repetitive cyclic loading. Miscellaneous musculoskeletal pathology focuses on laminitis, which current knowledge indicates should be regarded as a clinical syndrome with a variety of possible distinct mechanisms of structural failure that are outlined in this overview. PMID:26037607

  7. Predicting tumor sizes of ductal carcinoma in situ from immunohistochemical images using a novel approach of mathematical pathology: preliminary results, potentials and challenges ahead

    NASA Astrophysics Data System (ADS)

    Chuang, Yao-Li; Edgerton, Mary; Macklin, Paul; Yang, Wei; Bearer, Elaine; Cristini, Vittorio

    2012-02-01

    Differential equation models have recently drawn increasing attentions as a useful tool to help advance the knowledge in cancer research. However, challenges remain for applying such models to clinical practices on a patient-specific basis to assist surgical decisions. Clinical diagnoses essentially at a single time point are often insufficient to fully constrain the time-dependent differential equations. Here we present a novel mathematical pathology approach, identifying robust indicators for time-invariant predictions of the model that can be used for surgical planning. We demonstrate this approach by predicting the sizes of ductal carcinoma in situ by calibrating model parameters from immunohistochemical images. Our preliminary studies of 17 excised tumor cases resulted in a better agreement with the actual measured sizes than the other estimates available to us, showing the potential of our approach for patient-specific cancer diagnosis. Conversely, our studies also revealed challenges to overcome before we can take this approach to the next level.

  8. Biopsy Quantitative Patohistology and Seral Values of Prostate Specific Antigen-Alpha (1) Antichymotrypsine Complex in Prediction of Adverse Pathology Findings after Radical Prostatectomy.

    PubMed

    Tomasković, Igor; Milicić, Valerija; Tomić, Miroslav; Ruzić, Boris; Ulamec, Monika

    2015-09-01

    In this prospective study we examined the utility of parameters obtained on prostate needle biopsy and prostate specific antigen-alpha(1)-antichymotripsine complex (PSA-ACT) to predict adverse pathologic findings after radical prostatectomy. 45 consecutive patients assigned for radical prostatectomy due to clinically localized prostate cancer were included in the study. Prostate biopsy parameters such as number of positive cores, the greatest percentage of tumor in the positive cores, Gleason score, perineural invasion, unilaterality or bilaterality of the tumor were recorded. PSA-ACT was determined using sandwich immunoassay chemiluminiscent method (Bayer, Tarrytown, New York). We analyzed relationship of preoperative PSA, PSA-ACTand quantitative biopsy parameters with final pathology after prostatectomy. Adverse findings were considered when extracapsular extension of cancer (pT3) was noted. Postoperatively, 29 (64.4%) patients were diagnosed with pT2 disease and 16 (35.6%) with pT3 disease. There was a significant difference in localized vs. locally advanced disease in number of positive biopsy cores (p<0.001), greatest percentage of tumor in the core (p=0.008), localization of the tumor (p=0.003) and perineural invasion (p=0.004). Logistic regression was used to develop a model on the multivariate level. It included number of positive cores and PSA-ACT and was significant on our cohort with the reliability of 82.22%. The combination of PSA-ACT and a large scale of biopsy parameters could be used in prediction of adverse pathologic findings after radical prostatectomy. Clinical decisions and patients counselling could be influenced by these predictors but further confirmation on a larger population is necessary. PMID:26898067

  9. Non-Verbal Episodic Memory Deficits in Primary Progressive Aphasias are Highly Predictive of Underlying Amyloid Pathology.

    PubMed

    Ramanan, Siddharth; Flanagan, Emma; Leyton, Cristian E; Villemagne, Victor L; Rowe, Christopher C; Hodges, John R; Hornberger, Michael

    2016-02-01

    Diagnostic distinction of primary progressive aphasias (PPA) remains challenging, in particular for the logopenic (lvPPA) and nonfluent/agrammatic (naPPA) variants. Recent findings highlight that episodic memory deficits appear to discriminate these PPA variants from each other, as only lvPPA perform poorly on these tasks while having underlying amyloid pathology similar to that seen in amnestic dementias like Alzheimer's disease (AD). Most memory tests are, however, language based and thus potentially confounded by the prevalent language deficits in PPA. The current study investigated this issue across PPA variants by contrasting verbal and non-verbal episodic memory measures while controlling for their performance on a language subtest of a general cognitive screen. A total of 203 participants were included (25 lvPPA; 29 naPPA; 59 AD; 90 controls) and underwent extensive verbal and non-verbal episodic memory testing, with a subset of patients (n = 45) with confirmed amyloid profiles as assessed by Pittsburgh Compound B and PET. The most powerful discriminator between naPPA and lvPPA patients was a non-verbal recall measure (Rey Complex Figure delayed recall), with 81% of PPA patients classified correctly at presentation. Importantly, AD and lvPPA patients performed comparably on this measure, further highlighting the importance of underlying amyloid pathology in episodic memory profiles. The findings demonstrate that non-verbal recall emerges as the best discriminator of lvPPA and naPPA when controlling for language deficits in high load amyloid PPA cases. PMID:26890745

  10. Outcome of resection of WHO Grade II meningioma and correlation of pathological and radiological predictive factors for recurrence.

    PubMed

    Nanda, Anil; Bir, Shyamal C; Konar, Subhas; Maiti, Tanmoy; Kalakoti, Piyush; Jacobsohn, Jamie A; Guthikonda, Bharat

    2016-09-01

    This study investigated whether extent of surgical resection (Simpson and Shinshu grade) along with pathological and radiological factors influence the tumor control and recurrence-free survival (RFS) of patients with World Health Organization (WHO) grade II meningiomas. The clinical, radiological and surgical notes on the 59 patients with WHO grade II meningioma managed at our institution over 20years were retrospectively reviewed. In this study, median survival time was 41months. The overall recurrence rate in Simpson grades I and II resection was 31%. In grades III and IV, the overall recurrence rate was 73%, and this high recurrence rate in these groups was confined within 5years. In Cox regression analysis, combined data of grades (I and II)/complete resection showed a significant difference in RFS compared to grades (III and IV)/subtotal resection (p=0.0001). A similar trend of RFS (p=0.0001) was observed with the Shinshu grading system of resection. In addition, a Ki-67% marker for proliferation less than 15% (p=0.029), absence of certain radiological features including heterogeneous enhancement, cyst formation and peritumoral edema (p=0.006), and repeat surgery for recurrent meningioma was associated with better survival (p=0.014). However, radiosurgery did not have a beneficial role in the treatment of recurrence of atypical meningioma. The Simpson grading system is the primary predictor of recurrence of WHO grade II meningioma after resection. In addition, certain pathological and radiological features need to be considered as possible factors of recurrence after resection. Lastly, depending on the likely risks and surgical morbidity, repeat surgical resection should be performed for recurrent atypical meningioma. PMID:27427214

  11. Pre-Typhoon Socioeconomic Status Factors Predict Post-typhoon Psychiatric Symptoms in a Vietnamese Sample

    PubMed Central

    Brown, Ruth C.; Trapp, Stephen K.; Berenz, Erin C.; Bigdeli, Tim Bernard; Acierno, Ron; Tran, Trinh Luong; Trung, Lam Tu; Tam, Nguyen Thanh; Tuan, Tran; Buoi, La Thi; Ha, Tran Thu; Thach, Tran Duc; Amstadter, Ananda B.

    2013-01-01

    Purpose Exposure to natural disasters has been associated with increased risk for various forms of psychopathology. Evidence indicates that socioeconomic status (SES) may be important for understanding post-disaster psychiatric distress; however, studies of SES-relevant factors in non-Western, disaster-exposed samples are lacking. The primary aim of the current study was to examine the role of pre-typhoon SES-relevant factors in relation to post-typhoon psychiatric symptoms among Vietnamese individuals exposed to Typhoon Xangsane. Methods In 2006, Typhoon Xangsane disrupted a mental health needs assessment in Vietnam in which the Self Reporting Questionnaire-20 (SRQ-20) and the Demographic and Health Surveys Wealth Index, a measure of SES created for use in low-income countries, were administered pre-typhoon. The SRQ-20 was re-administered post-typhoon. Results Results of a linear mixed model indicated that the covariates of older age, female sex, and higher levels of pre-typhoon psychiatric symptoms were associated with higher levels of post-typhoon psychiatric symptoms. Analysis of SES indicators revealed that owning fewer consumer goods, having lower quality of household services, and having attained less education were associated with higher levels of post-typhoon symptoms, above and beyond the covariates, whereas quality of the household build, employment status, and insurance status were not related to post-typhoon psychiatric symptoms. Conclusion Even after controlling for demographic characteristics and pre-typhoon psychiatric symptoms, certain SES factors uniquely predicted post-typhoon psychiatric distress. These SES characteristics may be useful for identifying individuals in developing countries who are in need of early intervention following disaster exposure. PMID:23563529

  12. Emotion perception and executive functioning predict work status in euthymic bipolar disorder.

    PubMed

    Ryan, Kelly A; Vederman, Aaron C; Kamali, Masoud; Marshall, David; Weldon, Anne L; McInnis, Melvin G; Langenecker, Scott A

    2013-12-15

    Functional recovery, including return to work, in Bipolar Disorder (BD) lags behind clinical recovery and may be incomplete when acute mood symptoms have subsided. We examined impact of cognition on work status and underemployment in a sample of 156 Euthymic-BD and 143 controls (HC) who were divided into working/not working groups. Clinical, health, social support, and personality data were collected, and eight cognitive factors were derived from a battery of neuropsychological tests. The HC groups outperformed the BD groups on seven of eight cognitive factors. The working-BD group outperformed the not working-BD group on 4 cognitive factors composed of tasks of emotion processing and executive functioning including processing speed and set shifting. Emotion processing and executive tasks were predictive of BD unemployment, after accounting for number of mood episodes. Four cognitive factors accounted for a significant amount of the variance in work status among the BD participants. Results indicate that patients with BD who are unemployed/unable to work exhibit greater difficulties processing emotional information and on executive tasks that comprise a set shifting or interference resolution component as compared to those who are employed, independent of other factors. These cognitive and affective factors are suggested as targets for treatment and/or accommodations. PMID:23870493

  13. Pathological Gambling: Psychiatric Models

    ERIC Educational Resources Information Center

    Westphal, James R.

    2008-01-01

    Three psychiatric conceptual models: addictive, obsessive-compulsive spectrum and mood spectrum disorder have been proposed for pathological gambling. The objectives of this paper are to (1) evaluate the evidence base from the most recent reviews of each model, (2) update the evidence through 2007 and (3) summarize the status of the evidence for…

  14. Counseling the post-radical prostatectomy patients about functional recovery: high predictiveness of current status

    PubMed Central

    Vickers, Andrew J.; Kent, Matthew; Mulhall, John; Sandhu, Jaspreet

    2014-01-01

    Objectives To develop prediction models to help counsel post-radical prostatectomy patients about functional recovery. Methods The study included 2162 patients undergoing radical prostatectomy at a major cancer center who reported urinary and erectile function at one year or at two years and at least 1 prior follow-up at 3, 6, 9, or 12 months. We created logistic regression models predicting function at one or two years on the basis of function at 3, 6, 9, and 12 months (2 years only), with the additional predictors of age, stage, grade, PSA, nerve-sparing status and baseline functional score. Results No variable other than current functional score had a consistent, statistically significant relationship with outcome. The area-under-the-curves for predicting function at 2 years based on current function alone at 3, 6, 9, and 12 months were, respectively, 0.796, 0.831, 0.882, and 0.885 for erectile function and 0.789, 0.862, 0.869 and 0.876 for urinary function. Patients using one pad at 6 months had only a 50% probability of being pad free at 2 years; this dropped to 36% for patients using 2 pads. This suggests that there is an opportunity for early identification and possible referral of patients likely to have long-term urinary dysfunction. Conclusions Assessment of urinary and erectile function in the first post-operative year is strongly predictive of long-term outcome and can guide patient counseling and decisions about rehabilitative treatments. PMID:24824411

  15. Prediction of Ambulatory Status After Hip Fracture Surgery in Patients Over 60 Years Old

    PubMed Central

    2016-01-01

    Objective To predict ambulatory capacity, 1 month after physical therapy following hip fracture surgery. Methods A retrospective chart review was carried out. Patients more than 60 years old, who underwent hip fracture surgery and received physical therapies, were selected (n=548). Age, gender, presence of cognitive dysfunction, combined medical diseases, combined fractures, previous history of hip surgery, prefracture ambulatory capacity, days from the fracture to surgery, type of fracture, type of surgery, presence of postoperative complications, days from the surgery to physical therapy, and total admission period, were collected. Prefracture ambulatory capacity and postoperative ambulatory capacity were classified into non-ambulatory status (NA), ambulation with assistive device (AA), and independent-ambulation without any assistive device (IA). Multiple-logistic regression analysis was performed for the prediction of postoperative ambulatory capacity. Results Age (odds ratio [OR]=0.94 for IA and 0.96 for IA or AA), gender (OR=1.64 for IA and 0.98 for IA or AA), prefracture ambulatory capacity (OR of IA=19.17 for IA; OR of IA=16.72 for IA or AA; OR of AA=1.26 for IA, OR of AA=9.46 for IA or AA), and combined medical disease (OR=2.02) were found to be the factors related to postoperative ambulatory capacity and the prediction model was set up using these four factors. Conclusion Using this model, we can predict the ambulatory capacity following hip fracture surgery. Further prospective studies should be constructed to improve postoperative ambulatory capacity. PMID:27606273

  16. ATRX immunostaining predicts IDH and H3F3A status in gliomas.

    PubMed

    Ebrahimi, Azadeh; Skardelly, Marco; Bonzheim, Irina; Ott, Ines; Mühleisen, Helmut; Eckert, Franziska; Tabatabai, Ghazaleh; Schittenhelm, Jens

    2016-01-01

    Gliomas are the most frequent intraaxial CNS neoplasms with a heterogeneous molecular background. Recent studies on diffuse gliomas have shown frequent alterations in the genes involved in chromatin remodelling pathways such as α-thalassemia/mental-retardation-syndrome-X-linked gene (ATRX). Yet, the reliability of ATRX in predicting isocitrate dehydrogenase (IDH) and H3 histone, family 3A (H3F3A) mutations in gliomas, is unclear.We analysed the ATRX expression status by immunohistochemistry, in a large series of 1064 gliomas and analysed the results in correlation to IDH, H3F3A and loss of heterozygosity (LOH) 1p/19q status in these tumors. We also investigated the prognostic potential of ATRX concerning the clinical outcome of patients with diffuse gliomas.According to our results, loss of nuclear ATRX expression was accompanied with an astrocytic tumor lineage and a younger age of onset. ATRX loss in astrocytomas was also strongly associated with IDH1/2 and H3F3A mutation (p < 0.0001). Among 196 glial tumors with nuclear ATRX loss, 173 (89 %) had an IDH1 or IDH2 mutation. Among the remaining 23 cases (11 %) with ATRX loss and IDH wild type status, 7 cases had a H3F3A G34R mutation (3 %) and 2 cases had a H3F3A K27M mutation (1 %). ATRX retention in IDH1/2 mutant tumors was strongly associated with LOH 1p/19q and oligodendroglioma histology (p < 0.0001). We also confirmed the significant prognostic role of ATRX. Diffuse gliomas with ATRX loss (n = 137, median 1413 days, 95 % CI: 1065-1860 days) revealed a significantly better clinical outcome compared with tumors with ATRX retention (n = 335, median: 609, 95 % CI: 539-760 days, HR = 1.81, p < 0.0001).In conclusion, ATRX is a potential marker for prediction of IDH/H3F3A mutations and substratification of diffuse gliomas into survival relevant tumor groups. Such classification is of great importance for further clinical decision making especially concerning the therapeutic options

  17. Morphological and pathological response in primary systemic therapy of patients with breast cancer and the prediction of disease free survival: a single center observational study

    PubMed Central

    Szentmártoni, Gyöngyvér; Tőkés, Anna-Mária; Tőkés, Timea; Somlai, Krisztián; Szász, Attila Marcell; Torgyík, László; Kulka, Janina; Dank, Magdolna

    2016-01-01

    Aim To identify breast cancer subtypes likely to respond to primary systemic therapy (PST or neoadjuvant therapy) and to assess the accuracy of physical examination (PE) and breast ultrasonography (US) in evaluating and predicting residual size of breast carcinoma following PST. Methods 116 patients who received at least two cycles of PST between 1998 and 2009 were selected from a prospectively collected clinical database. Radiological assessment was done by mammography and US. Prior to PST, tumors were subclassified according to core biopsy (NCB) and/or fine-needle aspiration-based immunohistochemical profiles of NCB. Pathological response rates were assessed following the surgeries by using Chevallier classification. Tumor measurements by PE and US were obtained before and after PST. Different clinical measurements were compared with histological findings. Disease-free survival (DFS) was assessed. Results Pathological complete remission (pCR = Chevallier I/II) was observed in 25 patients (21.5%), 44% of whom had triple negative histology, 28% Her2 positive and 76% had high-grade tumor. Of 116 patients, 24 received taxane-based PST, 48 combined taxane + anthracycline treatment, 8 trastuzumab combinations, 21 anthracycline-based treatments, and 15 other treatments. In the taxane treated group, the pCR rate was 30%, in the taxane + anthracycline group 25%, in the anthracycline group 9.5%, and in trastuzumab group 37.5%. After PST, PE and US were both significantly associated with pathology (P < 0.001 and P = 0.004, respectively). Concerning OS, significant difference was observed between the Chevallier III and IV group (P = 0.031) in favor of Chevallier III group. In the pCR group, fewer events were observed during the follow-up period. Conclusions Our results show that even limited, routinely used immunohistochemical profiling of tumors can predict the likelihood of pCR to PST: patients with triple negative and Her2-positive cancers are more

  18. Role of nutritional status in predicting quality of life outcomes in cancer--a systematic review of the epidemiological literature.

    PubMed

    Lis, Christopher G; Gupta, Digant; Lammersfeld, Carolyn A; Markman, Maurie; Vashi, Pankaj G

    2012-01-01

    Malnutrition is a significant factor in predicting cancer patients' quality of life (QoL). We systematically reviewed the literature on the role of nutritional status in predicting QoL in cancer. We searched MEDLINE database using the terms "nutritional status" in combination with "quality of life" together with "cancer". Human studies published in English, having nutritional status as one of the predictor variables, and QoL as one of the outcome measures were included. Of the 26 included studies, 6 investigated head and neck cancer, 8 gastrointestinal, 1 lung, 1 gynecologic and 10 heterogeneous cancers. 24 studies concluded that better nutritional status was associated with better QoL, 1 study showed that better nutritional status was associated with better QoL only in high-risk patients, while 1 study concluded that there was no association between nutritional status and QoL. Nutritional status is a strong predictor of QoL in cancer patients. We recommend that more providers implement the American Society of Parenteral and Enteral Nutrition (ASPEN) guidelines for oncology patients, which includes nutritional screening, nutritional assessment and intervention as appropriate. Correcting malnutrition may improve QoL in cancer patients, an important outcome of interest to cancer patients, their caregivers, and families. PMID:22531478

  19. CpG methylation analysis--current status of clinical assays and potential applications in molecular diagnostics: a report of the Association for Molecular Pathology.

    PubMed

    Sepulveda, Antonia R; Jones, Dan; Ogino, Shuji; Samowitz, Wade; Gulley, Margaret L; Edwards, Robin; Levenson, Victor; Pratt, Victoria M; Yang, Bin; Nafa, Khedoudja; Yan, Liying; Vitazka, Patrick

    2009-07-01

    Methylation of CpG islands in gene promoter regions is a major molecular mechanism of gene silencing and underlies both cancer development and progression. In molecular oncology, testing for the CpG methylation of tissue DNA has emerged as a clinically useful tool for tumor detection, outcome prediction, and treatment selection, as well as for assessing the efficacy of treatment with the use of demethylating agents and monitoring for tumor recurrence. In addition, because CpG methylation occurs early in pre-neoplastic tissues, methylation tests may be useful as markers of cancer risk in patients with either infectious or inflammatory conditions. The Methylation Working Group of the Clinical Practice Committee of the Association of Molecular Pathology has reviewed the current state of clinical testing in this area. We report here our summary of both the advantages and disadvantages of various methods, as well as the needs for standardization and reporting. We then conclude by summarizing the most promising areas for future clinical testing in cancer molecular diagnostics. PMID:19541921

  20. SPARSE GENERALIZED FUNCTIONAL LINEAR MODEL FOR PREDICTING REMISSION STATUS OF DEPRESSION PATIENTS

    PubMed Central

    Liu, Yashu; Nie, Zhi; Zhou, Jiayu; Farnum, Michael; Narayan, Vaibhav A; Wittenberg, Gayle; Ye, Jieping

    2014-01-01

    Complex diseases such as major depression affect people over time in complicated patterns. Longitudinal data analysis is thus crucial for understanding and prognosis of such diseases and has received considerable attention in the biomedical research community. Traditional classification and regression methods have been commonly applied in a simple (controlled) clinical setting with a small number of time points. However, these methods cannot be easily extended to the more general setting for longitudinal analysis, as they are not inherently built for time-dependent data. Functional regression, in contrast, is capable of identifying the relationship between features and outcomes along with time information by assuming features and/or outcomes as random functions over time rather than independent random variables. In this paper, we propose a novel sparse generalized functional linear model for the prediction of treatment remission status of the depression participants with longitudinal features. Compared to traditional functional regression models, our model enables high-dimensional learning, smoothness of functional coefficients, longitudinal feature selection and interpretable estimation of functional coefficients. Extensive experiments have been conducted on the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) data set and the results show that the proposed sparse functional regression method achieves significantly higher prediction power than existing approaches. PMID:24297562

  1. New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis

    NASA Astrophysics Data System (ADS)

    Chaudhury, Baishali; Hall, Lawrence O.; Goldgof, Dmitry B.; Gatenby, Robert A.; Gillies, Robert; Drukteinis, Jennifer S.

    2014-03-01

    Magnetic Resonance Imaging (MRI) of breast cancer typically shows that tumors are heterogeneous with spatial variations in blood flow and cell density. Here, we examine the potential link between clinical tumor imaging and the underlying evolutionary dynamics behind heterogeneity in the cellular expression of estrogen receptors (ER) in breast cancer. We assume, in an evolutionary environment, that ER expression will only occur in the presence of significant concentrations of estrogen, which is delivered via the blood stream. Thus, we hypothesize, the expression of ER in breast cancer cells will correlate with blood flow on gadolinium enhanced breast MRI. To test this hypothesis, we performed quantitative analysis of blood flow on dynamic contrast enhanced MRI (DCE-MRI) and correlated it with the ER status of the tumor. Here we present our analytic methods, which utilize a novel algorithm to analyze 20 volumetric DCE-MRI breast cancer tumors. The algorithm generates post initial enhancement (PIE) maps from DCE-MRI and then performs texture features extraction from the PIE map, feature selection, and finally classification of tumors into ER positive and ER negative status. The combined gray level co-occurrence matrices, gray level run length matrices and local binary pattern histogram features allow quantification of breast tumor heterogeneity. The algorithm predicted ER expression with an accuracy of 85% using a Naive Bayes classifier in leave-one-out cross-validation. Hence, we conclude that our data supports the hypothesis that imaging characteristics can, through application of evolutionary principles, provide insights into the cellular and molecular properties of cancer cells.

  2. A Score Predicting Posttreatment Ambulatory Status in Patients Irradiated for Metastatic Spinal Cord Compression

    SciTech Connect

    Rades, Dirk Rudat, Volker; Veninga, Theo; Stalpers, Lukas J.A.; Basic, Hiba; Karstens, Johann H.; Hoskin, Peter J.; Schild, Steven E.

    2008-11-01

    Purpose: To create a scoring system to predict ambulatory status after radiotherapy (RT) for metastatic spinal cord compression (MSCC). Methods and Materials: On the basis of a multivariate analysis of 2096 MSCC patients, a scoring system was developed. This included the five prognostic factors significantly associated with post-RT ambulatory status: primary tumor type, interval between tumor diagnosis and MSCC, visceral metastases, motor function before RT, and time developing motor deficits before RT. The score for each factor was determined by dividing the post-RT ambulatory rate (as a percentage) by 10. Total scores represented the sum of the scores for each factor and ranged between 21 and 44 points. Patients were divided into five groups according to this score. Results: The post-RT ambulatory rates were 6% (24 of 389) for patients with scores of {<=}28 points, 44% (121 of 278) for those with 29-31 points, 70% (212 of 303) for those with 32-34 points, 86% (315 of 266) for those with 35-37 points, and 99% (750 of 760) for those with {>=}38 points. The 3-month survival rates were 29%, 62%, 77%, 84%, and 98%, respectively. The 6-months survival rates were 6%, 31%, 42%, 61%, and 93%, respectively. Conclusions: Because patients with scores of {<=}28 points had poor functional outcome after RT and extraordinarily poor survival rates, short-course RT to decrease pain or best supportive care may be considered. Patients with scores of 29-37 points should be considered surgical candidates, because RT-alone results were not optimal. Patients with scores of {>=}38 points seem to have excellent results with RT alone.

  3. MR-determined metabolic phenotype of breast cancer in prediction of lymphatic spread, grade, and hormone status.

    PubMed

    Bathen, Tone F; Jensen, Line R; Sitter, Beathe; Fjösne, Hans E; Halgunset, Jostein; Axelson, David E; Gribbestad, Ingrid S; Lundgren, Steinar

    2007-08-01

    The purpose of the study was to evaluate the use of metabolic phenotype, described by high-resolution magic angle spinning magnetic resonance spectroscopy (HR MAS MRS), as a tool for prediction of histological grade, hormone status, and axillary lymphatic spread in breast cancer patients. Biopsies from breast cancer (n = 91) and adjacent non-involved tissue (n = 48) were excised from patients (n = 77) during surgery. HR MAS MR spectra of intact samples were acquired. Multivariate models relating spectral data to histological grade, lymphatic spread, and hormone status were designed. The multivariate methods applied were variable reduction by principal component analysis (PCA) or partial least-squares regression-uninformative variable elimination (PLS-UVE), and modelling by PLS, probabilistic neural network (PNN), or cascade correlation neural network. In the end, model verification by prediction of blind samples (n = 12) was performed. Validation of PNN training resulted in sensitivity and specificity ranging from 83 to 100% for all predictions. Verification of models by blind sample testing showed that hormone status was well predicted by both PNN and PLS (11 of 12 correct), lymphatic spread was best predicted by PLS (8 of 12), whereas PLS-UVE PNN was the best approach for predicting grade (9 of 12 correct). MR-determined metabolic phenotype may have a future role as a supplement for clinical decision-making-concerning adjuvant treatment and the adaptation to more individualised treatment protocols. PMID:17061040

  4. USING IN-SITU MEASUREMENTS TO EVALUATE NEW RAPIDEYE SATELLITE SERIES FOR PREDICTION OF WHEAT NITROGEN STATUS

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Spectral vegetation indices computed from hyperspectral data containing the red edge region (690-730 nm) have been used to predict plant nitrogen (N) status, but few commercial satellite systems are capable of providing this information. The earth imaging firm RapidEye™, however, plans to provide m...

  5. Novel Single-Nucleotide Polymorphism Markers Predictive of Pathologic Response to Preoperative Chemoradiation Therapy in Rectal Cancer Patients

    SciTech Connect

    Kim, Jin C.; Ha, Ye J.; Roh, Seon A.; Cho, Dong H.; Choi, Eun Y.; Kim, Tae W.; Kim, Jong H.; Kang, Tae W.; Kim, Seon Y.; Kim, Yong S.

    2013-06-01

    Purpose: Studies aimed at predicting individual responsiveness to preoperative chemoradiation therapy (CRT) are urgently needed, especially considering the risks associated with poorly responsive patients. Methods and Materials: A 3-step strategy for the determination of CRT sensitivity is proposed based on (1) the screening of a human genome-wide single-nucleotide polymorphism (SNP) array in correlation with histopathologic tumor regression grade (TRG); (2) clinical association analysis of 113 patients treated with preoperative CRT; and (3) a cell-based functional assay for biological validation. Results: Genome-wide screening identified 9 SNPs associated with preoperative CRT responses. Positive responses (TRG 1-3) were obtained more frequently in patients carrying the reference allele (C) of the SNP CORO2A rs1985859 than in those with the substitution allele (T) (P=.01). Downregulation of CORO2A was significantly associated with reduced early apoptosis by 27% (P=.048) and 39% (P=.023) in RKO and COLO320DM colorectal cancer cells, respectively, as determined by flow cytometry. Reduced radiosensitivity was confirmed by colony-forming assays in the 2 colorectal cancer cells (P=.034 and .015, respectively). The SNP FAM101A rs7955740 was not associated with radiosensitivity in the clinical association analysis. However, downregulation of FAM101A significantly reduced early apoptosis by 29% in RKO cells (P=.047), and it enhanced colony formation in RKO cells (P=.001) and COLO320DM cells (P=.002). Conclusion: CRT-sensitive SNP markers were identified using a novel 3-step process. The candidate marker CORO2A rs1985859 and the putative marker FAM101A rs7955740 may be of value for the prediction of radiosensitivity to preoperative CRT, although further validation is needed in large cohorts.

  6. Accuracy of Functional and Predictive Methods to Calculate the Hip Joint Center in Young Non-pathologic Asymptomatic Adults with Dual Fluoroscopy as a Reference Standard.

    PubMed

    Fiorentino, Niccolo M; Kutschke, Michael J; Atkins, Penny R; Foreman, K Bo; Kapron, Ashley L; Anderson, Andrew E

    2016-07-01

    Predictions from biomechanical models of gait may be sensitive to joint center locations. Most often, the hip joint center (HJC) is derived from locations of reflective markers adhered to the skin. Here, predictive techniques use regression equations of pelvic anatomy to estimate the HJC, whereas functional methods track motion of markers placed at the pelvis and femur during a coordinated motion. Skin motion artifact may introduce errors in the estimate of HJC for both techniques. Quantifying the accuracy of these methods is an area of open investigation. In this study, we used dual fluoroscopy (DF) (a dynamic X-ray imaging technique) and three-dimensional reconstructions from computed tomography images, to measure HJC locations in vivo. Using dual fluoroscopy as the reference standard, we then assessed the accuracy of three predictive and two functional methods. Eleven non-pathologic subjects were imaged with DF and reflective skin marker motion capture. Additionally, DF-based solutions generated virtual markers placed on bony landmarks, which were input to the predictive and functional methods to determine if estimates of the HJC improved. Using skin markers, functional methods had better mean agreement with the HJC measured by DF (11.0 ± 3.3 mm) than predictive methods (18.1 ± 9.5 mm); estimates from functional and predictive methods improved when using the DF-based solutions (1.3 ± 0.9 and 17.5 ± 8.6 mm, respectively). The Harrington method was the best predictive technique using both skin markers (13.2 ± 6.5 mm) and DF-based solutions (10.6 ± 2.5 mm). The two functional methods had similar accuracy using skin makers (11.1 ± 3.6 and 10.8 ± 3.2 mm) and DF-based solutions (1.2 ± 0.8 and 1.4 ± 1.0 mm). Overall, functional methods were superior to predictive methods for HJC estimation. However, the improvements observed when using the DF-based solutions suggest that skin motion artifact is a large source of error for the

  7. Prediction of Low versus High Recurrence Scores in Estrogen Receptor-Positive, Lymph Node-Negative Invasive Breast Cancer on the Basis of Radiologic-Pathologic Features: Comparison with Oncotype DX Test Recurrence Scores.

    PubMed

    Dialani, Vandana; Gaur, Shantanu; Mehta, Tejas S; Venkataraman, Shambhavi; Fein-Zachary, Valerie; Phillips, Jordana; Brook, Alexander; Slanetz, Priscilla J

    2016-08-01

    Purpose To review mammographic, ultrasonographic (US), and magnetic resonance (MR) imaging features and pathologic characteristics of estrogen receptor (ER)-positive, lymph node-negative invasive breast cancer and to determine the relationship of these characteristics to Oncotype DX (Genomic Health, Redwood City, Calif) test recurrence scores (ODRS) for breast cancer recurrence. Materials and Methods This institutional review board-approved retrospective study was performed in a single large academic medical center. The study population included patients with ER-positive, lymph node-negative invasive breast cancer who underwent genomic testing from January 1, 2009, to December 31, 2013. Imaging features of the tumor were classified according to the Breast Imaging Reporting and Data System lexicon by breast imagers who were blinded to the ODRS. Mammography was performed in 86% of patients, US was performed in 84%, and MR imaging was performed in 33%, including morphologic and kinetic evaluation. Images from each imaging modality were evaluated. Each imaging finding, progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) status, and tumor grade were then individually correlated with ODRS. Analysis of variance was used to determine differences for each imaging feature. Regression analysis was used to calculate prediction of recurrence on the basis of imaging features combined with histopathologic features. Results The 319 patients had a mean age ± standard deviation of 55 years ± 8.7 (range, 31-82 years). Imaging features with a positive correlation with ODRS included a well-circumscribed oval mass (P = .024) at mammography, vascularity (P = .047) and posterior enhancement (P = .004) at US, and lobulated mass (P = .002) at MR imaging. Recurrence scores were predicted by using these features in combination with PR and HER2 status and tumor grade by using the threshold of more than 30 as a high recurrence score. With a regression tree, there

  8. T2 relaxation time post febrile status epilepticus predicts cognitive outcome.

    PubMed

    Barry, Jeremy M; Choy, ManKin; Dube, Celine; Robbins, Ashlee; Obenaus, Andre; Lenck-Santini, Pierre Pascal; Scott, Rod C; Baram, Tallie Z; Holmes, Gregory L

    2015-07-01

    Evidence from animal models and patient data indicates that febrile status epilepticus (FSE) in early development can result in permanently diminished cognitive abilities. To understand the variability in cognitive outcome following FSE, we used MRI to measure dynamic brain metabolic responses to the induction of FSE in juvenile rats. We then compared these measurements to the ability to learn an active avoidance spatial task weeks later. T2 relaxation times were significantly lower in FSE rats that were task learners in comparison to FSE non-learners. While T2 time in whole brain held the greatest predictive power, T2 in hippocampus and basolateral amygdala were also excellent predictors. These signal differences in response to FSE indicate that rats that fail to meet metabolic and oxygen demand are more likely to develop spatial cognition deficits. Place cells from FSE non-learners had significantly larger firing fields and higher in-field firing rate than FSE learners and control animals and imply increased excitability in the pyramidal cells of FSE non-learners. These findings suggest a mechanistic cause for the spatial memory deficits in active avoidance and are relevant to other acute neurological insults in early development where cognitive outcome is a concern. PMID:25939697

  9. Urinary cell mRNA profiles predictive of human kidney allograft status.

    PubMed

    Lee, John R; Muthukumar, Thangamani; Dadhania, Darshana; Ding, Ruchuang; Sharma, Vijay K; Schwartz, Joseph E; Suthanthiran, Manikkam

    2014-03-01

    Kidney allograft status is currently characterized using the invasive percutaneous needle core biopsy procedure. The procedure has become safer over the years, but challenges and complications still exist including sampling error, interobserver variability, bleeding, arteriovenous fistula, graft loss, and even death. Because the most common type of acute rejection is distinguished by inflammatory cells exiting the intravascular compartment and gaining access to the renal tubular space, we reasoned that a kidney allograft may function as an in vivo flow cytometer and sort cells involved in rejection into urine. To test this idea, we developed quantitative polymerase chain reaction (PCR) assays for absolute quantification of mRNA and pre-amplification protocols to overcome the low RNA yield from urine. Here, we review our single center urinary cell mRNA profiling studies that led to the multicenter Clinical Trials in Organ Transplantation (CTOT-04) study and the discovery and validation of a 3-gene signature of 18S rRNA-normalized measures of CD3ε mRNA and IP-10 mRNA and 18S rRNA that is diagnostic and predictive of acute cellular rejection in the kidney allograft. We also review our development of a 4-gene signature of mRNAs for vimentin, NKCC2, E-cadherin, and 18S rRNA diagnostic of interstitial fibrosis/tubular atrophy (IF/TA). PMID:24517436

  10. Predictive role of preoperative lymphoscintigraphy on the status of the sentinel lymph node in clinically node-negative patients with cutaneous melanoma.

    PubMed

    Solari, Nicola; Gipponi, Marco; Stella, Mattia; Queirolo, Paola; di Somma, Carmine; Villa, Giuseppe; Piccardo, Arnoldo; Gualco, Marina; Cardinale, Francesco; Cafiero, Ferdinando

    2009-08-01

    We reviewed our experience to assess the predictive role of preoperative lymphoscintigraphy with regard to the pathological status of sentinel lymph node (sN) in patients with cutaneous melanoma, to optimize the surgical treatment planning with regard to the use of intraoperative frozen section examination of sN. Eighty-eight patients with clinically node-negative cutaneous melanoma pT1b-T4 stage underwent preoperative lymphoscintigraphy for the lymphatic mapping of sN. A lymphoscintigraphic 'score' (from L1 to L5) was developed based on the ratio of radiotracer concentration within sN nodes as compared with the injection site. Our score allowed us to foresee that sN of patients with thick melanomas (T3 and T4) and a low preoperative score (L1-L2-L3) had a 90% expected likelihood (P<0.001) of harboring metastasis, whereas sN in patients with thin melanomas (T1b-T2) and high preoperative score (from L4 to L5) showed a 100% likelihood of being metastasis free. In conclusion, the sN is a reliable predictor of regional lymph node status in patients with cutaneous malignant melanoma. Moreover, we suggest that a low score (L1-L2-L3) associated with a thick melanoma is a good predictive factor of the positive sN involvement. This information could be useful in scheduling the intraoperative frozen-section examination with an expected benefit of a positive test in almost 90% of patients. Such patients might be selected for a 'one-stage' procedure with a more effective cost/benefit ratio and decreased hospitalization costs. PMID:19584766

  11. Towards a general framework for predicting threat status of data-deficient species from phylogenetic, spatial and environmental information

    PubMed Central

    Jetz, Walter; Freckleton, Robert P.

    2015-01-01

    In taxon-wide assessments of threat status many species remain not included owing to lack of data. Here, we present a novel spatial-phylogenetic statistical framework that uses a small set of readily available or derivable characteristics, including phylogenetically imputed body mass and remotely sensed human encroachment, to provide initial baseline predictions of threat status for data-deficient species. Applied to assessed mammal species worldwide, the approach effectively identifies threatened species and predicts the geographical variation in threat. For the 483 data-deficient species, the models predict highly elevated threat, with 69% ‘at-risk’ species in this set, compared with 22% among assessed species. This results in 331 additional potentially threatened mammals, with elevated conservation importance in rodents, bats and shrews, and countries like Colombia, Sulawesi and the Philippines. These findings demonstrate the future potential for combining phylogenies and remotely sensed data with species distributions to identify species and regions of conservation concern. PMID:25561677

  12. CpGIMethPred: computational model for predicting methylation status of CpG islands in human genome

    PubMed Central

    2013-01-01

    DNA methylation is an inheritable chemical modification of cytosine, and represents one of the most important epigenetic events. Computational prediction of the DNA methylation status can be employed to speed up the genome-wide methylation profiling, and to identify the key features that are correlated with various methylation patterns. Here, we develop CpGIMethPred, the support vector machine-based models to predict the methylation status of the CpG islands in the human genome under normal conditions. The features for prediction include those that have been previously demonstrated effective (CpG island specific attributes, DNA sequence composition patterns, DNA structure patterns, distribution patterns of conserved transcription factor binding sites and conserved elements, and histone methylation status) as well as those that have not been extensively explored but are likely to contribute additional information from a biological point of view (nucleosome positioning propensities, gene functions, and histone acetylation status). Statistical tests are performed to identify the features that are significantly correlated with the methylation status of the CpG islands, and principal component analysis is then performed to decorrelate the selected features. Data from the Human Epigenome Project (HEP) are used to train, validate and test the predictive models. Specifically, the models are trained and validated by using the DNA methylation data obtained in the CD4 lymphocytes, and are then tested for generalizability using the DNA methylation data obtained in the other 11 normal tissues and cell types. Our experiments have shown that (1) an eight-dimensional feature space that is selected via the principal component analysis and that combines all categories of information is effective for predicting the CpG island methylation status, (2) by incorporating the information regarding the nucleosome positioning, gene functions, and histone acetylation, the models can achieve

  13. The usefulness of holotranscobalamin in predicting vitamin B12 status in different clinical settings.

    PubMed

    Herrmann, Wolfgang; Obeid, Rima; Schorr, Heike; Geisel, Jürgen

    2005-02-01

    Serum concentrations of homocysteine (Hcy) and methylmalonic acid (MMA) become increased in B12-deficient subjects and are therefore, considered specific markers of B12 deficiency. Serum level of holotranscobalamin (holoTC) becomes decreased before the development of the metabolic dysfunction. We investigated the usefulness of holoTC in diagnosing B12 deficiency in some clinical settings. We measured serum concentrations of holoTC, MMA, Hcy and total B12 in omnivores, vegetarians, elderly people and haemodialysis patients. Our results indicated that the incidence of holoTC <35 pmol/L was highest in the vegans (76%). Low holoTC and elevated MMA were detected in 64% of the vegans and 43% of the lacto- and lacto-ovovegetarians. An elevated MMA and a low holoTC were found in subjects with total serum B12 as high as 300 pmol/L. The distribution of holoTC in elderly people was similar to that in younger adults (median holoTC 55 pmol/L in both groups). A low holoTC and an elevated MMA were found in 16% of the elderly group. An elevated MMA and a normal holoTC were found in 20% of the elderly group who had a relatively high median serum concentration of creatinine (106.1 micromol/L). Serum concentrations of holoTC in dialysis patients were considerably higher than all other groups (median 100 pmol/L). This was also associated with severely increased serum levels of MMA (median 987 nmol/L). From these results it can be concluded that serum concentration of holoTC is a much better predictor of B12 status than total B12. This was particularly evident in case of dietary B12 deficiency. Serum concentrations of holoTC as well as MMA can be affected by renal dysfunction. Elevated MMA and normal holoTC in patients with renal insufficiency may not exclude vitamin B12 deficiency. HoloTC seems not to be a promising marker in predicting B12 status in renal patients. PMID:15720207

  14. Epithelial cell expression of BCL-2 family proteins predicts mechanisms that regulate Helicobacter pylori-induced pathology in the mouse stomach

    PubMed Central

    Yang, David X; Tashima, Kimihito; Taylor, Nancy S; Fox, James G

    2009-01-01

    Corpus-predominant infection with Helicobacter pylori (HP) results in the activation of programmed cell death pathways in surface, parietal, and chief cells. At present, mechanisms that regulate these pathways to result in HP-associated pathology are not fully understood. Because it is not known which survival and death pathways are present in gastric epithelial cells, we used an antibody panel to evaluate the expression of BCL-2 family prosurvival proteins or multi-Bcl-2 homology (BH)-domains (group 1) or BH3-only (group-2) proapoptotic proteins in the stomachs of uninfected or HP-infected C57BL/6 mice. This strategy identified BCL-2, BAK, and BAD as the major prosurvival and proapoptotic proteins, in surface cells and BAD as the only BCL-2 family protein expressed in parietal cells. Chief cells express altogether different effectors, including BCL-XL/BCL-2, for survival but have no constitutively expressed proapoptotic proteins. In model chief cells, however, the group 1 proapoptotic protein BCL-XS was expressed after exposure to proinflammatory cytokines concomitant with reduced viability, demonstrating that chief cells can transcriptionally regulate the induction of proapoptotic proteins to execute apoptosis. During HP infection, no additional BCL-2 family proteins were expressed in epithelial cells, whereas those present either remained unchanged or were reduced as cell deletion occurred over time. Additional studies demonstrated that the posttranslational regulation of BAD in surface and parietal cells was negatively affected by HP infection, a result that may be directly related to an increase in apoptosis during infection. Thus, gastric epithelial cells express cell-specific prosurvival and proapoptotic pathways. From the results presented here, mechanisms that regulate HP-related changes in the survival and death profile of gastric epithelial cells can be predicted and then tested, with the ultimate goal of elucidating important therapeutic targets to

  15. Accuracy of Computed Tomography for Predicting Pathologic Nodal Extracapsular Extension in Patients With Head-and-Neck Cancer Undergoing Initial Surgical Resection

    SciTech Connect

    Prabhu, Roshan S.; Magliocca, Kelly R.; Hanasoge, Sheela; Aiken, Ashley H.; Hudgins, Patricia A.; Hall, William A.; Chen, Susie A.; Eaton, Bree R.; Higgins, Kristin A.; Saba, Nabil F.; Beitler, Jonathan J.

    2014-01-01

    Purpose: Nodal extracapsular extension (ECE) in patients with head-and-neck cancer increases the loco-regional failure risk and is an indication for adjuvant chemoradiation therapy (CRT). To reduce the risk of requiring trimodality therapy, patients with head-and-neck cancer who are surgical candidates are often treated with definitive CRT when preoperative computed tomographic imaging suggests radiographic ECE. The purpose of this study was to assess the accuracy of preoperative CT imaging for predicting pathologic nodal ECE (pECE). Methods and Materials: The study population consisted of 432 consecutive patients with oral cavity or locally advanced/nonfunctional laryngeal cancer who underwent preoperative CT imaging before initial surgical resection and neck dissection. Specimens with pECE had the extent of ECE graded on a scale from 1 to 4. Results: Radiographic ECE was documented in 46 patients (10.6%), and pECE was observed in 87 (20.1%). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 43.7%, 97.7%, 82.6%, and 87.3%, respectively. The sensitivity of radiographic ECE increased from 18.8% for grade 1 to 2 ECE, to 52.9% for grade 3, and 72.2% for grade 4. Radiographic ECE criteria of adjacent structure invasion was a better predictor than irregular borders/fat stranding for pECE. Conclusions: Radiographic ECE has poor sensitivity, but excellent specificity for pECE in patients who undergo initial surgical resection. PPV and NPV are reasonable for clinical decision making. The performance of preoperative CT imaging increased as pECE grade increased. Patients with resectable head-and-neck cancer with radiographic ECE based on adjacent structure invasion are at high risk for high-grade pECE requiring adjuvant CRT when treated with initial surgery; definitive CRT as an alternative should be considered where appropriate.

  16. Utility of Socioeconomic Status in Predicting 30-Day Outcomes After Heart Failure Hospitalization

    PubMed Central

    Eapen, Zubin J.; McCoy, Lisa A.; Fonarow, Gregg C.; Yancy, Clyde W.; Miranda, Marie Lynn; Peterson, Eric D.; Califf, Robert M.; Hernandez, Adrian F.

    2015-01-01

    Background An individual's socioeconomic status (SES) is associated with health outcomes and mortality, yet it is unknown whether accounting for SES can improve risk-adjustment models for 30-day outcomes among Centers for Medicare & Medicaid Services (CMS) beneficiaries hospitalized with heart failure (HF). Methods and Results We linked clinical data on hospitalized HF patients in the Get With The Guidelines®-HF™ database (01/2005–12/2011) with CMS claims and county-level SES data from the 2012 Area Health Resources Files. We compared the discriminatory capabilities of multivariable models that adjusted for SES, patient, and/or hospital characteristics to determine whether county-level SES data improved prediction or changed hospital rankings for 30-day all-cause mortality and rehospitalization. After adjusting for patient and hospital characteristics, median household income (per $5,000 increase) was inversely associated with odds of 30-day mortality (OR 0.97, 95% CI 0.95–1.00, p=0.032), and the percentage of persons with at least a high school diploma (per 5 unit increase) was associated with lower odds of 30-day rehospitalization (OR 0.95, 95% CI 0.91–0.99).After adjustment for county-level SES data, relative to whites, Hispanic ethnicity (OR 0.70, 95% CI 0.58, 0.83) and black race (OR 0.57, 95% CI: 0.50–0.65) remained significantly associated with lower 30-day mortality, but had similar 30-day rehospitalization. County-level SES did not improve risk adjustment or change hospital rankings for 30-day mortality or rehospitalization. Conclusions County-level SES data are modestly associated with 30-day outcomes for CMS beneficiaries hospitalized with HF, but do not improve risk adjustment models based on patient characteristics alone. PMID:25747700

  17. Prediction of intramammary infection status across the dry period from lifetime cow records.

    PubMed

    Henderson, A C; Hudson, C D; Bradley, A J; Sherwin, V E; Green, M J

    2016-07-01

    The dry period is very important for mammary gland health, with the aim not only to cure existing intramammary infections (IMI) but also to prevent new IMI. Although it is known that the dry period is an important time for optimizing udder health, the probability that individual cows will succumb to a new IMI or, if infected, will fail to cure an IMI is not well established. The aim of this study was to investigate whether lifetime cow data, available through routine on-farm milk recording, could be used to predict changes in IMI status across the dry period for individual cows that were (1) deemed high somatic cell count (SCC; >199,000 cells/mL) or (2) low SCC (<200,000 cells/mL) at the last test day before drying off. Milk recording data collected between September 1994 and July 2014 from 114 herds in the United Kingdom were used. Two 2-level random effects models were built and both cure and new IMI were used as outcome variables in separate models. Cows with a smaller proportion of test days with a high SCC in the lactation before drying off, a smaller proportion of test days recording a high SCC in the lactation before the current lactation, of lower parity, producing less milk before drying off, of lower days in milk at drying off, and of lower SCC just before drying off were more likely to cure across the dry period. Dry period length had no effect on the likelihood of cure. Individual cows with a smaller proportion of test days recording a high SCC in the lactation before the current, of lower parity, of lower milk production at drying off, and fewer days in milk at drying off were less likely to develop a new IMI. Dry period length was found to have no effect on the probability of new IMI. Model predictions showed that a high level of discrimination was possible between cows with a high and low risk of both cures and new infections across the dry period. PMID:27108166

  18. Does marital status predict the odds of suicidal death in taiwan? A seven-year population-based study.

    PubMed

    Yeh, Jui-Yuan; Xirasagar, Sudha; Liu, Tsai-Ching; Li, Chong-Yi; Lin, Herng-Ching

    2008-06-01

    Using nationwide, 7-year population-based data for 1997-2003, we examined marital status to see if it predicted suicide among the ethnic Chinese population of Taiwan. Using cause of death data, with a case-control design, two groups-total adult suicide deaths, n = 17,850, the study group, and adult deaths other than suicide, n = 71,400 (randomly selected from age, sex, and geographic region matched controls, four per suicide)-were studied. Using multiple logistic regression analysis including age-marital status interaction, adjusted estimates show divorced status to be the most detrimental for suicide propensity, with males showing stronger effect size. Females never married, aged below 35 and 65-plus, and widowed 65-plus had lower suicide odds. PMID:18611128

  19. Immune Response in a Wild Bird Is Predicted by Oxidative Status, but Does Not Cause Oxidative Stress

    PubMed Central

    Cram, Dominic L.; Blount, Jonathan D.; York, Jennifer E.; Young, Andrew J.

    2015-01-01

    The immune system provides vital protection against pathogens, but extensive evidence suggests that mounting immune responses can entail survival and fecundity costs. The physiological mechanisms that underpin these costs remain poorly understood, despite their potentially important role in shaping life-histories. Recent studies involving laboratory models highlight the possibility that oxidative stress could mediate these costs, as immune-activation can increase the production of reactive oxygen species leading to oxidative stress. However, this hypothesis has rarely been tested in free-ranging wild populations, where natural oxidative statuses and compensatory strategies may moderate immune responses and their impacts on oxidative status. Furthermore, the possibility that individuals scale their immune responses according to their oxidative status, conceivably to mitigate such costs, remains virtually unexplored. Here, we experimentally investigate the effects of a phytohaemagglutinin (PHA) immune-challenge on oxidative status in wild male and female white-browed sparrow weavers, Plocepasser mahali. We also establish whether baseline oxidative status prior to challenge predicts the scale of the immune responses. Contrary to previous work on captive animals, our findings suggest that PHA-induced immune-activation does not elicit oxidative stress. Compared with controls (n = 25 birds), PHA-injected birds (n = 27 birds) showed no evidence of a differential change in markers of oxidative damage or enzymatic and non-enzymatic antioxidant protection 24 hours after challenge. We did, however, find that the activity of a key antioxidant enzyme (superoxide dismutase, SOD) prior to immune-activation predicted the scale of the resulting swelling: birds with stronger initial SOD activity subsequently produced smaller swellings. Our findings (i) suggest that wild birds can mount immune responses without suffering from systemic oxidative stress, and (ii) lend support to

  20. Predicting self-rated mental and physical health: the contributions of subjective socioeconomic status and personal relative deprivation

    PubMed Central

    Callan, Mitchell J.; Kim, Hyunji; Matthews, William J.

    2015-01-01

    Lower subjective socioeconomic status (SSS) and higher personal relative deprivation (PRD) relate to poorer health. Both constructs concern people's perceived relative social position, but they differ in their emphasis on the reference groups people use to determine their comparative disadvantage (national population vs. similar others) and the importance of resentment that may arise from such adverse comparisons. We investigated the relative utility of SSS and PRD as predictors of self-rated physical and mental health (e.g., self-rated health, stress, health complaints). Across six studies, self-rated physical and mental health were on the whole better predicted by measures of PRD than by SSS while controlling for objective socioeconomic status (SES), with SSS rarely contributing unique variance over and above PRD and SES. Studies 4–6 discount the possibility that the superiority of PRD over SSS in predicting health is due to psychometric differences (e.g., reliability) or response biases between the measures. PMID:26441786

  1. Does Marital Status Predict the Odds of Suicidal Death in Taiwan? A Seven-Year Population-Based Study

    ERIC Educational Resources Information Center

    Yeh, Jui-Yuan; Xirasagar, Sudha; Liu, Tsai-Ching; Li, Chong-Yi; Lin, Herng-Ching

    2008-01-01

    Using nationwide, 7-year population-based data for 1997-2003, we examined marital status to see if it predicted suicide among the ethnic Chinese population of Taiwan. Using cause of death data, with a case-control design, two groups--total adult suicide deaths, n = 17,850, the study group, and adult deaths other than suicide, n = 71,400 (randomly…

  2. Prediction of Residue Status to Be Protected or Not Protected From Hy-drogen Exchange Using Amino Acid Sequence Only.

    PubMed

    Nikita V, Dovidchenko; Oxana V, Galzitskaya

    2008-01-01

    We have outlined here some structural aspects of local flexibility. Important functional properties are related to flexible segments. We try to predict regions that have been shown to exhibit the highest probability of being folded in the equilibrium intermediate or native state and will be protected from hydrogen exchange using amino acid sequence only. Our approach FoldUnfold for the prediction of unstructured regions has been applied to seven different proteins. For 80% of the residues considered in this paper we can predict correctly their status: will they be protected or not from hydrogen exchange. An additional goal of our study is to assess whether properties inferred using the bioinformatics approach are easily applicable to predict behavior of proteins in solution. PMID:18949078

  3. Prediction of Residue Status to Be Protected or Not Protected From Hy-drogen Exchange Using Amino Acid Sequence Only

    PubMed Central

    Dovidchenko, Nikita V; Galzitskaya, Oxana V

    2008-01-01

    We have outlined here some structural aspects of local flexibility. Important functional properties are related to flexible segments. We try to predict regions that have been shown to exhibit the highest probability of being folded in the equilibrium intermediate or native state and will be protected from hydrogen exchange using amino acid sequence only. Our approach FoldUnfold for the prediction of unstructured regions has been applied to seven different proteins. For 80% of the residues considered in this paper we can predict correctly their status: will they be protected or not from hydrogen exchange. An additional goal of our study is to assess whether properties inferred using the bioinformatics approach are easily applicable to predict behavior of proteins in solution. PMID:18949078

  4. The value of forceps biopsy and core needle biopsy in prediction of pathologic complete remission in locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy

    PubMed Central

    Gao, Yuan-Hong; Liu, Guo-Chen; Kong, Ling-Heng; Pan, Zhi-Zhong; Ding, Pei-Rong

    2015-01-01

    Patients with pathological complete remission (pCR) after treated with neoadjuvant chemoradiotherapy (nCRT) have better long-term outcome and may receive conservative treatments in locally advanced rectal cancer (LARC). The study aimed to evaluate the value of forceps biopsy and core needle biopsy in prediction of pCR in LARC treated with nCRT. In total, 120patients entered this study. Sixty-one consecutive patients received preoperative forceps biopsy during endoscopic examination. Ex vivo core needle biopsy was performed in resected specimens of another 43 consecutive patients. The accuracy for ex vivo core needle biopsy was significantly higher than forceps biopsy (76.7% vs. 36.1%; p < 0.001). The sensitivity for ex vivo core needle biopsy was significantly lower in good responder (TRG 3) than poor responder (TRG ≤ 2) (52.9% vs. 94.1%; p = 0.017). In vivo core needle biopsy was further performed in 16 patients with good response. Eleven patients had residual cancer cells in final resected specimens, among whom 4 (36.4%) patients were biopsy positive. In conclusion, routine forceps biopsy was of limited value in identifying pCR after nCRT. Although core needle biopsy might further identify a subset of patients with residual cancer cells, the accuracy was not substantially increased in good responders. PMID:26416245

  5. Nutritional status as a predictive marker for surgical site infection in total joint arthroplasty

    PubMed Central

    Alfargieny, Randa; Bodalal, Zuhir; Bendardaf, Riyad; El-Fadli, Mustafa; Langhi, Salem

    2015-01-01

    Background: Surgical site infection (SSI) is considered one of the most serious complications in total joint arthroplasty (TJA). This study seeks to analyze the predictive value of preoperative and postoperative nutritional biomarkers for SSI in elective TJA. Methodology: Nutritional markers were gathered retrospectively utilizing patient's records from the orthopedics department at Benghazi Medical Center (BMC). The sample spanned cases admitted during the 20-month period between January 2012 and August 2013 and had undergone either elective total hip replacement or total knee replacement. The collected lab results included a complete blood count, total lymphocyte count (TLC), and serum albumin (S. alb.) levels. The patients were then divided into two groups based on the occurrence of an SSI. Results: A total of 135 total knee (81.5%, n = 110/135) and total hip (18.5%, n = 25/135) replacements were performed at BMC during the study period. Among these cases, 57% (n = 78/135) had patient records suitable for statistical analysis. The average preoperative TLC was 2.422 ×103 cells/mm3 (range = 0.8–4.7 ×103 cells/mm3) whereas that number dropped after the surgery to 1.694 ×103 cells/mm3 (range = 0.6–3.8 ×103 cells/mm3). S. alb. levels showed a mean of 3.973 g/dl (range = 2.9–4.7 g/dl) preoperatively and 3.145 g/dl (range = 1.0–4.1 g/dl) postoperatively. The majority of TJA patients did not suffer any complication (67.4%, n = 91/135) while eight cases (5.9%) suffered from a superficial SSI. Conclusion: Preoperative S. alb. was identified as the only significant predictor for SSI (P = 0.011). Being a preventable cause of postoperative morbidity, it is recommended that the nutritional status (especially preoperative S. alb.) of TJA patients be used as a screening agent and appropriate measures be taken to avoid SSI. PMID:26629466

  6. Molecular pathology in real time.

    PubMed

    Ryška, Aleš

    2016-03-01

    With the development of sophisticated individualized therapeutic approaches, the role of pathology in classification of tumors is enormously increasing. The solely morphological characterization of neoplastic process is no more sufficient for qualified decision on optimal therapeutic approach. Thus, morphologic diagnosis must be supplemented by molecular analysis of the lesion with emphasis on the detection of status of certain markers used as predictive factors for targeted therapy. Both intrinsic and acquired types of intratumor heterogeneity have an impact at various moments of cancer diagnostics and therapy. The primary heterogeneity of neoplastic tissue represents a significant problem in patients, where only limited biopsy samples from the primary tumor are available for diagnosis, such as core needle biopsy specimens in breast cancer, transthoracic or endobronchial biopsies in lung cancer, or endoscopic biopsies in gastric cancer. Detection of predictive markers may be influenced by this heterogeneity, and the marker detection may be falsely negative or (less probably) falsely positive. In addition, as these markers are often detected in the tissue samples from primary tumor, the differences between molecular features of the primary lesion and its metastases may be responsible for failure of systemic therapy in patients with discordant phenotype between primary and metastatic disease. The fact of tumor heterogeneity must be taken into consideration already in establishing pathological diagnosis. One has to be aware that limited biopsy specimen must not always be fully representative of the entire tumor volume. To overcome these limitations, there does not exist one single simple solution. Examination of more tissue (preference of surgical resection specimens over biopsies, whenever possible), use of ultra-sensitive methods able to identify the minute subclones as a source of possible resistance to treatment, and detection of secondary molecular events from

  7. Water quality of Danube Delta systems: ecological status and prediction using machine-learning algorithms.

    PubMed

    Stoica, C; Camejo, J; Banciu, A; Nita-Lazar, M; Paun, I; Cristofor, S; Pacheco, O R; Guevara, M

    2016-01-01

    Environmental issues have a worldwide impact on water bodies, including the Danube Delta, the largest European wetland. The Water Framework Directive (2000/60/EC) implementation operates toward solving environmental issues from European and national level. As a consequence, the water quality and the biocenosis structure was altered, especially the composition of the macro invertebrate community which is closely related to habitat and substrate heterogeneity. This study aims to assess the ecological status of Southern Branch of the Danube Delta, Saint Gheorghe, using benthic fauna and a computational method as an alternative for monitoring the water quality in real time. The analysis of spatial and temporal variability of unicriterial and multicriterial indices were used to assess the current status of aquatic systems. In addition, chemical status was characterized. Coliform bacteria and several chemical parameters were used to feed machine-learning (ML) algorithms to simulate a real-time classification method. Overall, the assessment of the water bodies indicated a moderate ecological status based on the biological quality elements or a good ecological status based on chemical and ML algorithms criteria. PMID:27191562

  8. Factors predicting BCG immunization status in northern Nigeria: a behavioral-ecological perspective.

    PubMed

    Babalola, Stella; Lawan, Umar

    2009-03-01

    This study examines the predictors of Bacille Calmette-Guérin (BCG) immunization status among infants in northern Nigeria using a behavioral-ecological model. The findings show only 37.3 percent of the children had received BCG vaccine, and reveal that BCG immunization status in northern Nigeria is influenced by multiple layers of factors, including child's characteristics, parental or household factors, community characteristics, vaccine supply and the policy environment. At the child's level, place of birth and ownership of an immunization card are the two most significant predictors. The parental and household predictors of BCG immunization status include maternal use of antenatal care, maternal knowledge about immunization, maternal exposure to child health information, social influence and paternal approval of immunization. Both the regularity of vaccine supply to the health facility and the state of residence are associated independently with BCG immunization status. These findings stress the need for interventions at multiple levels in order to increase BCG immunization status. PMID:19240190

  9. Seizures, refractory status epilepticus, and depolarization block as endogenous brain activities

    NASA Astrophysics Data System (ADS)

    El Houssaini, Kenza; Ivanov, Anton I.; Bernard, Christophe; Jirsa, Viktor K.

    2015-01-01

    Epilepsy, refractory status epilepticus, and depolarization block are pathological brain activities whose mechanisms are poorly understood. Using a generic mathematical model of seizure activity, we show that these activities coexist under certain conditions spanning the range of possible brain activities. We perform a detailed bifurcation analysis and predict strategies to escape from some of the pathological states. Experimental results using rodent data provide support of the model, highlighting the concept that these pathological activities belong to the endogenous repertoire of brain activities.

  10. Could machine learning improve the prediction of pelvic nodal status of prostate cancer patients? Preliminary results of a pilot study.

    PubMed

    De Bari, B; Vallati, M; Gatta, R; Simeone, C; Girelli, G; Ricardi, U; Meattini, I; Gabriele, P; Bellavita, R; Krengli, M; Cafaro, I; Cagna, E; Bunkheila, F; Borghesi, S; Signor, M; Di Marco, A; Bertoni, F; Stefanacci, M; Pasinetti, N; Buglione, M; Magrini, S M

    2015-07-01

    We tested and compared performances of Roach formula, Partin tables and of three Machine Learning (ML) based algorithms based on decision trees in identifying N+ prostate cancer (PC). 1,555 cN0 and 50 cN+ PC were analyzed. Results were also verified on an independent population of 204 operated cN0 patients, with a known pN status (187 pN0, 17 pN1 patients). ML performed better, also when tested on the surgical population, with accuracy, specificity, and sensitivity ranging between 48-86%, 35-91%, and 17-79%, respectively. ML potentially allows better prediction of the nodal status of PC, potentially allowing a better tailoring of pelvic irradiation. PMID:25950849

  11. Does social status predict adult smoking and obesity? Results from the 2000 Mexican National Health Survey

    PubMed Central

    Buttenheim, A.M.; Wong, R.; Goldman, N.; Pebley, A.R.

    2009-01-01

    Socioeconomic status is generally associated with better health, but recent evidence suggests that this ‘social gradient’ in health is far from universal. This study examines whether social gradients in smoking and obesity in Mexico—a country in the midst of rapid socioeconomic change—conform to or diverge from results for richer countries. Using a nationally-representative sample of 39 129 Mexican adults, we calculate the odds of smoking and of being obese by educational attainment and by household wealth. We conclude that socioeconomic determinants of smoking and obesity in Mexico are complex, with some flat gradients and some strong positive or negative gradients. Higher social status (education and assets) is associated with more smoking and less obesity for urban women. Higher status rural women also smoke more, but obesity for these women has a non-linear relationship to education. For urban men, higher asset levels (but not education) are associated with obesity, whereas education is protective of smoking. Higher status rural men with more assets are more likely to smoke and be obese. As household wealth, education, and urbanisation continue to increase in Mexico, these patterns suggest potential targets for public health intervention now and in the future. PMID:19367478

  12. Pubertal Status and Emotional Reactivity to a Voluntary Hyperventilation Challenge Predicting Panic Symptoms and Somatic Complaints

    ERIC Educational Resources Information Center

    Leen-Feldner, Ellen W.; Reardon, Laura E.; Zvolensky, Michael J.

    2007-01-01

    The main and interactive effects of pubertal status and emotional reactivity to bodily sensations elicited by a voluntary hyperventilation challenge were examined in relation to panic symptoms and self- and parent-reported somatic complaints among 123 (56 females) adolescents between the ages of 12 and 17 years (M[age] = 15.05; SD = 1.50). As…

  13. Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach.

    PubMed

    Chen, Huiling; Yang, Bo; Liu, Dayou; Liu, Wenbin; Liu, Yanlong; Zhang, Xiuhua; Hu, Lufeng

    2015-01-01

    The number of the overweight people continues to rise across the world. Studies have shown that being overweight can increase health risks, such as high blood pressure, diabetes mellitus, coronary heart disease, and certain forms of cancer. Therefore, identifying the overweight status in people is critical to prevent and decrease health risks. This study explores a new technique that uses blood and biochemical measurements to recognize the overweight condition. A new machine learning technique, an extreme learning machine, was developed to accurately detect the overweight status from a pool of 225 overweight and 251 healthy subjects. The group included 179 males and 297 females. The detection method was rigorously evaluated against the real-life dataset for accuracy, sensitivity, specificity, and AUC (area under the receiver operating characteristic (ROC) curve) criterion. Additionally, the feature selection was investigated to identify correlating factors for the overweight status. The results demonstrate that there are significant differences in blood and biochemical indexes between healthy and overweight people (p-value < 0.01). According to the feature selection, the most important correlated indexes are creatinine, hemoglobin, hematokrit, uric Acid, red blood cells, high density lipoprotein, alanine transaminase, triglyceride, and γ-glutamyl transpeptidase. These are consistent with the results of Spearman test analysis. The proposed method holds promise as a new, accurate method for identifying the overweight status in subjects. PMID:26600199

  14. Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach

    PubMed Central

    Chen, Huiling; Yang, Bo; Liu, Dayou; Liu, Wenbin; Liu, Yanlong; Zhang, Xiuhua; Hu, Lufeng

    2015-01-01

    The number of the overweight people continues to rise across the world. Studies have shown that being overweight can increase health risks, such as high blood pressure, diabetes mellitus, coronary heart disease, and certain forms of cancer. Therefore, identifying the overweight status in people is critical to prevent and decrease health risks. This study explores a new technique that uses blood and biochemical measurements to recognize the overweight condition. A new machine learning technique, an extreme learning machine, was developed to accurately detect the overweight status from a pool of 225 overweight and 251 healthy subjects. The group included 179 males and 297 females. The detection method was rigorously evaluated against the real-life dataset for accuracy, sensitivity, specificity, and AUC (area under the receiver operating characteristic (ROC) curve) criterion. Additionally, the feature selection was investigated to identify correlating factors for the overweight status. The results demonstrate that there are significant differences in blood and biochemical indexes between healthy and overweight people (p-value < 0.01). According to the feature selection, the most important correlated indexes are creatinine, hemoglobin, hematokrit, uric Acid, red blood cells, high density lipoprotein, alanine transaminase, triglyceride, and γ-glutamyl transpeptidase. These are consistent with the results of Spearman test analysis. The proposed method holds promise as a new, accurate method for identifying the overweight status in subjects. PMID:26600199

  15. Levels of uninvolved immunoglobulins predict clinical status and progression-free survival for multiple myeloma patients.

    PubMed

    Harutyunyan, Nika M; Vardanyan, Suzie; Ghermezi, Michael; Gottlieb, Jillian; Berenson, Ariana; Andreu-Vieyra, Claudia; Berenson, James R

    2016-07-01

    Multiple myeloma (MM) is characterized by the enhanced production of the same monoclonal immunoglobulin (M-Ig or M protein). Techniques such as serum protein electrophoresis and nephelometry are routinely used to quantify levels of this protein in the serum of MM patients. However, these methods are not without their shortcomings and problems accurately quantifying M proteins remain. Precise quantification of the types and levels of M-Ig present is critical to monitoring patient response to therapy. In this study, we investigated the ability of the HevyLite (HLC) immunoassay to correlate with clinical status based on levels of involved and uninvolved antibodies. In our cohort of MM patients, we observed that significantly higher ratios and greater differences of involved HLC levels compared to uninvolved HLC levels correlated with a worse clinical status. Similarly, higher absolute levels of involved HLC antibodies and lower levels of uninvolved HLC antibodies also correlated with a worse clinical status and a shorter progression-free survival. These findings suggest that the HLC assay is a useful and a promising tool for determining the clinical status and survival time for patients with multiple myeloma. PMID:27017948

  16. Marital Status, Marital Process, and Parental Resources in Predicting Adolescents' Emotional Adjustment: A Multilevel Analysis

    ERIC Educational Resources Information Center

    Vandervalk, Inge; Spruijt, Ed; De Goede, Martijn; Meeus, Wim; Maas, Cora

    2004-01-01

    This study examined the relationship between adolescent emotional adjustment and the family environment (i.e., family status, family process, and parental resources). This was done by way of multilevel analyses, with a sample of 2,636 parent-child couples of both intact and divorced families. The results indicated that adolescent emotional…

  17. Phonological Skills and Vocabulary Knowledge Mediate Socioeconomic Status Effects in Predicting Reading Outcomes for Chinese Children

    ERIC Educational Resources Information Center

    Zhang, Yuping; Tardif, Twila; Shu, Hua; Li, Hong; Liu, Hongyun; McBride-Chang, Catherine; Liang, Weilan; Zhang, Zhixiang

    2013-01-01

    This study examined the relations among socioeconomic status (SES), early phonological processing, vocabulary, and reading in 262 children from diverse SES backgrounds followed from ages 4 to 9 in Beijing, China. SES contributed to variations in phonological skills and vocabulary in children's early development. Nonetheless, early phonological and…

  18. Predicting Sobriety from the Employment Status of Dually Diagnosed Clients Who Are Opiate Dependent

    ERIC Educational Resources Information Center

    Scorzelli, James F.

    2007-01-01

    The purpose of this study was to determine the relationship between Minnesota Multiphasic Personality Inventory-2 (E. S. Neukrug & R. C. Fawcett, 2006) profiles and employment status for clients who are opiate dependent. A discriminant function analysis indicated that employment was a predictor in maintaining sobriety after 6 months. (Contains 4…

  19. Predicting future weight status from measurements made in early childhood: a novel longitudinal approach applied to Millennium Cohort Study data

    PubMed Central

    Mead, E; Batterham, A M; Atkinson, G; Ells, L J

    2016-01-01

    Background/Objective: There are reports that childhood obesity tracks into later life. Nevertheless, some tracking statistics such as correlations do not quantify individual agreement, whereas others such as diagnostic test statistics can be difficult to translate into practice. We aimed to employ a novel analytic approach, based on ordinal logistic regression, to predict weight status of 11-year-old children from measurements at age 5 years. Subjects/Methods: The UK 1990 growth references were used to generate clinical weight status categories of 12 076 children enrolled in the Millennium Cohort Study. Using ordinal regression, we derived the predicted probability (percent chances) of 11-year-old children becoming underweight, normal weight, overweight, obese and severely obese from their weight status category at age 5 years. Results: The chances of becoming obese (including severely obese) at age 11 years were 5.7% (95% confidence interval: 5.2 to 6.2%) for a normal-weight 5-year-old child and 32.3% (29.8 to 34.8%) for an overweight 5-year-old child. An obese 5-year-old child had a 68.1% (63.8 to 72.5%) chance of remaining obese at 11 years. Severely obese 5-year-old children had a 50.3% (43.1 to 57.4%) chance of remaining severely obese. There were no substantial differences between sexes. Nondeprived obese 5-year-old boys had a lower probability of remaining obese than deprived obese boys: −21.8% (−40.4 to −3.2%). This association was not observed in obese 5-year-old girls, in whom the nondeprived group had a probability of remaining obese 7% higher (−15.2 to 29.2%). The sex difference in this interaction of deprivation and baseline weight status was therefore −28.8% (−59.3 to 1.6%). Conclusions: We have demonstrated that ordinal logistic regression can be an informative approach to predict the chances of a child changing to, or from, an unhealthy weight status. This approach is easy to interpret and could be applied to any longitudinal data set

  20. Nurses' Assessment of Rehabilitation Potential and Prediction of Functional Status at Discharge from Inpatient Rehabilitation

    ERIC Educational Resources Information Center

    Myers, Jamie S.; Grigsby, Jim; Teel, Cynthia S.; Kramer, Andrew M.

    2009-01-01

    The goals of this study were to evaluate the accuracy of nurses' predictions of rehabilitation potential in older adults admitted to inpatient rehabilitation facilities and to ascertain whether the addition of a measure of executive cognitive function would enhance predictive accuracy. Secondary analysis was performed on prospective data collected…

  1. Guinea pig ascorbate status predicts tetrahydrobiopterin plasma concentration and oxidation ratio in vivo.

    PubMed

    Mortensen, Alan; Hasselholt, Stine; Tveden-Nyborg, Pernille; Lykkesfeldt, Jens

    2013-10-01

    Tetrahydrobiopterin (BH₄) is an essential co-factor of nitric oxide synthases and is easily oxidized to dihydrobiopterin (BH₂) which promotes endothelial nitric oxide synthase uncoupling and deleterious superoxide production. Vitamin C has been shown to improve endothelial function by different mechanisms, some involving BH₄. The hypothesis of the present study was that vitamin C status, in particular low levels, influences biopterin redox status in vivo. Like humans, the guinea pig lacks the ability to synthesize vitamin C and was therefore used as model. Seven day old animals (n = 10/group) were given a diet containing 100, 250, 500, 750, 1000, or 1500 ppm vitamin C until euthanasia at age 60-64 days. Blood samples were drawn from the heart and analyzed for ascorbate, dehydroascorbic acid (DHA), BH₄ and BH₂ by high-performance liquid chromatography. Plasma BH₄ levels were found to be significantly lower in animals fed 100 ppm vitamin C compared to all other groups (P < .05 or less). BH₂ levels were not significantly different between groups but the BH₂-to-BH₄ ratio was higher in the group fed 100 ppm vitamin C (P < .001 all cases). Significant positive correlations between BH4 and ascorbate and between BH₂-to-BH₄ ratio and DHA were observed (P < .0001 both cases). Likewise, BH₂-to-BH₄ ratio was negatively correlated with ascorbate (P < .0001) as was BH₄ and DHA (P < .005). In conclusion, the redox status of plasma biopterins, essentially involved in vasodilation, depends on the vitamin C status in vivo. Thus, ingestion of insufficient quantities of vitamin C not only leads to vitamin C deficiency but also to increased BH₄ oxidation which may promote endothelial dysfunction. PMID:24074744

  2. Underweight status predicts a poor prognosis in elderly patients with colorectal cancer

    PubMed Central

    Kaneko, Manabu; Sasaki, Shin; Ozaki, Kosuke; Ishimaru, Kazuhiro; Terai, Emi; Nakayama, Hiroshi; Watanabe, Toshiyuki

    2016-01-01

    The aim of the present study was to evaluate the effect of underweight status on the survival of elderly patients undergoing surgery for colorectal cancer (CRC). A total of 113 patients aged ≥75 years who underwent curative surgery for CRC were included. In addition to standard perioperative variables, body mass index (BMI) was assessed. The patients were categorized as underweight (BMI<18.5 kg/m2) or non-underweight (BMI≥18.5 kg/m2). The 3-year overall survival (OS) and cancer-specific survival (CSS) were analyzed. Of the 113 patients, 24 (21%) were underweight. The two groups were well-balanced regarding all factors evaluated. In the multivariate analysis, underweight status was an independent indicator of lower 3-year OS [hazard ratio (HR)=2.65; 95% confidence interval (CI): 1.08–6.50; P=0.033] and CSS (HR=3.51, 95% CI: 1.16–10.60; P=0.025) rates. Compared with the non-underweight group, the underweight group had significantly worse 3-year OS (66.7 vs. 86.5%, respectively; P=0.017) and CSS (74.1 vs. 90.9%, respectively; P=0.025) rates. Therefore, underweight status was a significant risk factor for poor survival in elderly CRC patients. The development of effective nutritional interventions may improve the prognosis of such patients. PMID:27602223

  3. Development of a new outcome prediction model for Chinese patients with penile squamous cell carcinoma based on preoperative serum C-reactive protein, body mass index, and standard pathological risk factors: the TNCB score group system

    PubMed Central

    Li, Jing; Mi, Qi-Wu; Chen, Xiao-Feng; Zhao, Qi; Li, Yong-Hong; Chen, Jie-Ping; Deng, Chuang-Zhong; Ye, Yun-Lin; Zhong, Ming-Zhu; Liu, Zhuo-Wei; Qin, Zi-Ke; Lin, Xiang-Tian; Liang, Wei-Cong; Han, Hui; Zhou, Fang-Jian

    2016-01-01

    Purpose To determine the predictive value and feasibility of the new outcome prediction model for Chinese patients with penile squamous cell carcinoma. Results The 3-year disease-specific survival (DSS) was 92.3% in patients with < 8.70 mg/L CRP and 54.9% in those with elevated CRP (P < 0.001). The 3-year DSS was 86.5% in patients with a BMI < 22.6 Kg/m2 and 69.9% in those with a higher BMI (P = 0.025). In a multivariate analysis, pathological T stage (P < 0.001), pathological N stage (P = 0.002), BMI (P = 0.002), and CRP (P = 0.004) were independent predictors of DSS. A new scoring model was developed, consisting of BMI, CRP, and tumor T and N classification. In our study, we found that the addition of the above-mentioned parameters significantly increased the predictive accuracy of the system of the American Joint Committee on Cancer (AJCC) anatomic stage group. The accuracy of the new prediction category was verified. Methods A total of 172 Chinese patients with penile squamous cell cancer were analyzed retrospectively between November 2005 and November 2014. Statistical data analysis was conducted using the nonparametric method. Survival analysis was performed with the log-rank test and the Cox proportional hazard model. Based on regression estimates of significant parameters in multivariate analysis, a new BMI-, CRP- and pathologic factors-based scoring model was developed to predict disease-specific outcomes. The predictive accuracy of the model was evaluated using the internal and external validation. Conclusion The present study demonstrated that the TNCB score group system maybe a precise and easy to use tool for predicting outcomes in Chinese penile squamous cell carcinoma patients. PMID:26980738

  4. AI AND SAR APPROACHES FOR PREDICTING CHEMICAL CARCINOGENICITY: SURVEY AND STATUS REPORT

    EPA Science Inventory

    A wide variety of artificial intelligence (AI) and structure-activity relationship (SAR approaches have been applied to tackling the general problem of predicting rodent chemical carcinogenicity. Given the diversity of chemical structures and mechanisms relative to this endpoin...

  5. A new model to predict remission status in AML patients based on day 14 bone marrow biopsy.

    PubMed

    Norkin, Maxim; Chang, Myron; An, Qi; Leather, Helen; Katragadda, Lakshmikanth; Li, Ying; Moreb, Jan S; May, W Stratford; Brown, Randy A; Hsu, Jack W; Hiemenz, John W; Wingard, John R; Cogle, Christopher R

    2016-07-01

    Although bone marrow evaluation on day 14 after initiation of induction chemotherapy (D14 BM) is a widely accepted practice in patients with acute myeloid leukemia (AML), it has suboptimal predictive value for predicting complete remission. We retrospectively analyzed pretreatment characteristics and post-induction response in a cohort of AML patients to determine if adding clinical and laboratory characteristics can improve the predictive value of the D14 BM evaluation. Among 297 patients treated for AML at the single institution 183 patients (61%) had leukemia-positive D14 BM. Of those, 94 were given reinduction chemotherapy and 89 were not. Of the 89 patients who did not receive reinduction, 32 (36%) subsequently achieved complete remission (CR) or complete remission with incomplete count recovery (CRi), and 57 (64%) had persistent disease. Persistent disease after positive D14 BM was more likely associated with higher percentage of D14 myeloblasts, a history of relapsed disease before induction, and higher risk disease compared to patients who subsequently achieved CR. Age, diagnostic white blood cell count, and the D14 BM cellularity did not influence the subsequent likelihood of achieving remission in patients with a positive D14 BM. A new mathematical equation was created and resulted in a positive predictive value of 83%, negative predictive value 90% and accuracy 88% for correctly identifying remission status after positive D14 BM in AML. The accuracy of predicting response using these additional parameters was significantly higher than without (0.88 vs. 0.80, P=0.002). Our new model provides better accuracy for predicting the likelihood of achieving remission and if validated in future studies may be useful for managing AML patients. PMID:27132034

  6. Molecular markers to complement sentinel node status in predicting survival in patients with high-risk locally invasive melanoma.

    PubMed

    Rowe, Casey J; Tang, Fiona; Hughes, Maria Celia B; Rodero, Mathieu P; Malt, Maryrose; Lambie, Duncan; Barbour, Andrew; Hayward, Nicholas K; Smithers, B Mark; Green, Adele C; Khosrotehrani, Kiarash

    2016-08-01

    Sentinel lymph node status is a major prognostic marker in locally invasive cutaneous melanoma. However, this procedure is not always feasible, requires advanced logistics and carries rare but significant morbidity. Previous studies have linked markers of tumour biology to patient survival. In this study, we aimed to combine the predictive value of established biomarkers in addition to clinical parameters as indicators of survival in addition to or instead of sentinel node biopsy in a cohort of high-risk melanoma patients. Patients with locally invasive melanomas undergoing sentinel lymph node biopsy were ascertained and prospectively followed. Information on mortality was validated through the National Death Index. Immunohistochemistry was used to analyse proteins previously reported to be associated with melanoma survival, namely Ki67, p16 and CD163. Evaluation and multivariate analyses according to REMARK criteria were used to generate models to predict disease-free and melanoma-specific survival. A total of 189 patients with available archival material of their primary tumour were analysed. Our study sample was representative of the entire cohort (N = 559). Average Breslow thickness was 2.5 mm. Thirty-two (17%) patients in the study sample died from melanoma during the follow-up period. A prognostic score was developed and was strongly predictive of survival, independent of sentinel node status. The score allowed classification of risk of melanoma death in sentinel node-negative patients. Combining clinicopathological factors and established biomarkers allows prediction of outcome in locally invasive melanoma and might be implemented in addition to or in cases when sentinel node biopsy cannot be performed. PMID:26990817

  7. VE1 immunohistochemistry predicts BRAF V600E mutation status and clinical outcome in colorectal cancer

    PubMed Central

    Schafroth, Christian; Galván, José A.; Centeno, Irene; Koelzer, Viktor H.; Dawson, Heather E.; Sokol, Lena; Rieger, Gregor; Berger, Martin D.; Hädrich, Marion; Rosenberg, Robert; Nitsche, Ulrich; Schnüriger, Beat; Langer, Rupert; Inderbitzin, Daniel; Lugli, Alessandro; Zlobec, Inti

    2015-01-01

    Aim VE1 is a monoclonal antibody detecting mutant BRAFV600E protein by immunohistochemistry. Here we aim to determine the inter-observer agreement and concordance of VE1 with mutational status, investigate heterogeneity in colorectal cancers and metastases and determine the prognostic effect of VE1 in colorectal cancer patients. Methods Concordance of VE1 with mutational status and inter-observer agreement were tested on a pilot cohort of colorectal cancers (n = 34), melanomas (n = 23) and thyroid cancers (n = 8). Two prognostic cohorts were evaluated (n = 259, Cohort 1 and n = 226, Cohort 2) by multiple-punch tissue microarrays. VE1 staining on preoperative biopsies (n = 118 patients) was compared to expression in resections. Primary tumors and metastases from 13 patients were tested for VE1 heterogeneity using a tissue microarray generated from all available blocks (n = 100 blocks). Results Inter-observer agreement was 100% (kappa = 1.0). Concordance between VE1 and V600E mutation was 98.5%. Cohort 1: VE1 positivity (seen in 13.5%) was associated with older age (p = 0.0175) and MLH1 deficiency (p < 0.0001). Cohort 2: VE1 positivity (seen in 12.8%) was associated with female gender (p = 0.0016), right-sided tumor location (p < 0.0001), higher tumor grade (p < 0.0001) and mismatch repair (MMR)-deficiency (p < 0.0001). In survival analysis, MMR status and postoperative therapy were identified as possible confounding factors. Adjusting for these features, VE1 was an unfavorable prognostic factor. Preoperative biopsy staining matched resections in all cases except one. No heterogeneity was found across any primary/metastatic tumor blocks. Conclusion VE1 is highly concordant for V600E and homogeneously expressed suggesting staining can be analysed on resection specimens, preoperative biopsies, metastatic lesions and tissue microarrays. PMID:26496026

  8. Estrogen Receptor Status Predicts Late-Onset Skeletal Recurrence in Breast Cancer Patients.

    PubMed

    Han, Hyun Ho; Lee, Sung Hwan; Kim, Baek Gil; Lee, Joo Hyun; Kang, Suki; Cho, Nam Hoon

    2016-02-01

    Estrogen receptor-positive (ER+) breast cancer (BCa) often recurs after long latency, and is known to favor bone as a metastatic site. We hypothesized that skeletal recurrence of ER+ BCa follows a different chronological pattern from that of nonskeletal recurrence.We retrospectively evaluated 434 matched pairs of ER+ and ER- female patients who underwent surgery for clinically localized BCa between 2005 and 2009. Patient age, tumor size, lymph node involvement, and adjuvant treatment biases were adjusted by the propensity score method. We conducted competing risk analysis to determine the prognostic significance of ER expression status on the risk of overall recurrence and late recurrence (after 3 years). We also compared chronological patterns of ER+ and ER- tumor recurrence, stratified by the first metastatic site (skeletal vs nonskeletal).After 3 postoperative years, ER+ tumor had a significantly higher risk of overall distant recurrence than ER- tumor (P = 0.02). When further stratified by first site of metastasis, only late skeletal recurrence was significantly associated with ER status (P = 0.029). In multivariate analysis, ER and lymph node involvement status were significant prognostic factors for late skeletal recurrence, with adjusted hazard ratios of 5.2 (95% CI = 1.2-22.4, P = 0.025) and 5.2 (1.7-16.3, P = 0.005), respectively. For nonskeletal distant recurrence, tumor size (>2 cm) was the only significant risk factor with adjusted hazard ratio of 2.8 (1.4-5.7, P = 0.005). Annual hazard of skeletal recurrence events of ER+ tumors continued to exist up to 10 years, while annual hazard of nonskeletal recurrences decreased after peaking at 5 years. ER- tumor recurrences exhibited similar annual hazard patterns across skeletal and nonskeletal sites.ER expression and lymph node involvement status were strong predictors of BCa late-onset (>3 years) recurrences, especially in skeletal sites. Therefore, skeletal system surveillance is

  9. Estrogen Receptor Status Predicts Late-Onset Skeletal Recurrence in Breast Cancer Patients

    PubMed Central

    Han, Hyun Ho; Lee, Sung Hwan; Kim, Baek Gil; Lee, Joo Hyun; Kang, Suki; Cho, Nam Hoon

    2016-01-01

    Abstract Estrogen receptor-positive (ER+) breast cancer (BCa) often recurs after long latency, and is known to favor bone as a metastatic site. We hypothesized that skeletal recurrence of ER+ BCa follows a different chronological pattern from that of nonskeletal recurrence. We retrospectively evaluated 434 matched pairs of ER+ and ER− female patients who underwent surgery for clinically localized BCa between 2005 and 2009. Patient age, tumor size, lymph node involvement, and adjuvant treatment biases were adjusted by the propensity score method. We conducted competing risk analysis to determine the prognostic significance of ER expression status on the risk of overall recurrence and late recurrence (after 3 years). We also compared chronological patterns of ER+ and ER− tumor recurrence, stratified by the first metastatic site (skeletal vs nonskeletal). After 3 postoperative years, ER+ tumor had a significantly higher risk of overall distant recurrence than ER− tumor (P = 0.02). When further stratified by first site of metastasis, only late skeletal recurrence was significantly associated with ER status (P = 0.029). In multivariate analysis, ER and lymph node involvement status were significant prognostic factors for late skeletal recurrence, with adjusted hazard ratios of 5.2 (95% CI = 1.2–22.4, P = 0.025) and 5.2 (1.7–16.3, P = 0.005), respectively. For nonskeletal distant recurrence, tumor size (>2 cm) was the only significant risk factor with adjusted hazard ratio of 2.8 (1.4–5.7, P = 0.005). Annual hazard of skeletal recurrence events of ER+ tumors continued to exist up to 10 years, while annual hazard of nonskeletal recurrences decreased after peaking at 5 years. ER− tumor recurrences exhibited similar annual hazard patterns across skeletal and nonskeletal sites. ER expression and lymph node involvement status were strong predictors of BCa late-onset (>3 years) recurrences, especially in skeletal sites. Therefore

  10. Pathological gambling.

    PubMed

    Hollander, E; Buchalter, A J; DeCaria, C M

    2000-09-01

    With increasing access to gambling facilities through casinos, the Internet, and other venues, PG is a rapidly emerging mental health concern. This impulse-control disorder tends to be comorbid with a wide range of other disorders and is reportedly associated with a high rate of suicide. For most gamblers, gambling is a form of entertainment, but for many individuals, the activity leads to far-reaching disruption of family and work. The personal and societal financial ramifications are severe, and many individuals with PG end up in the criminal justice system. An understanding of the neurobiology of PG is beginning to surface. 5-HT is linked to behavioral initiation and disinhibition, which are important in the onset of the gambling cycle and the difficulty in ceasing the behavior. Norepinephrine is associated with the arousal and risk taking in patients with PG. Dopamine is linked to positive and negative reward, the addictive component of this disorder. Effective treatment strategies for pathological gamblers are emerging. Potentially useful pharmacologic agents include SRIs (clomipramine and fluvoxamine), mood stabilizers for pathological gamblers with comorbid bipolar disorders (lithium), and naltrexone. Cognitive-behavioral psychotherapies offer promising results in the treatment of patients with this disorder. To devise prevention and early-intervention programs, research is needed to identify specific features of the individuals at risk for gambling problems. Education targeting vulnerable youth that show early signs of gambling behavior may be worthwhile and should be investigated further. Funding is necessary to support these endeavors, so perhaps a portion of tax revenues generated from the gambling industry should go toward specialized treatment facilities, educational efforts, and research into the neurobiology and treatment of PG. PMID:10986732

  11. The Predictive but Not Prognostic Value of MGMT Promoter Methylation Status in Elderly Glioblastoma Patients: A Meta-Analysis

    PubMed Central

    Dong, Yu; Liu, Bo-lin; Han, Ning; Zhang, Xiang

    2014-01-01

    Background The clinical implication of O6-methylguanine-DNA methyltransferase (MGMT) promoter status is ill-defined in elderly glioblastoma patients. Here we report a meta-analysis to seek valid evidence for its clinical relevance in this subpopulation. Methods Literature were searched and reviewed in a systematic manner using the PubMed, EMBASE and Cochrane databases. Studies investigating the association between MGMT promoter status and survival data of elderly patients (≥65 years) were eligible for inclusion. Results Totally 16 studies were identified, with 13 studies included in the final analyses. The aggregate proportion of MGMT promoter methylation in elderly patients was 47% (95% confidence interval [CI]: 42–52%), which was similar to the value for younger patients. The analyses showed differential effects of MGMT status on overall survival (OS) of elderly patients according to assigned treatments: methylated vs. unmethylated: (1) temozolomide (TMZ)-containing therapies: hazard ratio [HR] 0.49, 95% CI 0.41–0.58; (2) TMZ-free therapies: HR 0.97, 95% CI 0.77–1.21. More importantly, a useful predictive value was observed by an interaction analysis: TMZ-containing therapies vs. RT alone: (1) methylated tumors: HR 0.48, 95% CI 0.36–0.65; (2) unmethylated tumors: HR 1.14; 95% CI 0.90–1.44. Conclusion The meta-analysis reports an age-independent presence of MGMT promoter methylation. More importantly, the study encouraged routine testing of MGMT promoter status especially in elderly glioblastoma patients by indicating a direct linkage between biomarker test and individual treatment decision. Future studies are needed to justify the mandatory testing in younger patients. PMID:24454798

  12. The current status of time dependent CYP inhibition assay and in silico drug-drug interaction predictions.

    PubMed

    Yan, Zhengyin; Caldwell, Gary W

    2012-01-01

    Various CYP time-dependent inhibition (TDI) assays have been widely implemented in drug discovery and development which has led to great success in positively identifying compounds with mechanism-base inhibition liability. However, drug-drug interaction (DDI) predictions by various in-silico models utilizing kinetic parameters obtained from TDI assays have met with significant challenges including questionable kinetic data, over-simplified in-vitro models and unreliable mathematic algorithms. Although significant efforts have been made to standardize the TDI assay and refine mathematical models, recent evaluation studies have revealed that the kinetic parameters of TDI, the most important in-vitro data required by all DDI prediction models, are significantly impacted by a variety of experimental variables including microsomal protein concentration, metabolic stability, CYP-specific probes, and post-incubation time. This review attempts to provide medicinal chemists a brief overview on the current status of TDI assays, determination of kinetic parameters and in silico DDI predictions with emphasis on the complexity of the TDI kinetics and limitations of current in-vitro models and DDI prediction methodologies. PMID:22571791

  13. Influence of Pathological Nodal Status and Maximal Standardized Uptake Value of the Primary Tumor and Regional Lymph Nodes on Treatment Plans in Patients With Advanced Oral Cavity Squamous Cell Carcinoma

    SciTech Connect

    Liao, C.-T.; Wang, H.-M.; Chang, Joseph Tung-Chieh; Lin, C.-Y.; Ng, S.-H.; Huang, S.-F.; Chen, I.-H.; Hsueh Chuen; Lee, L.-Y.; Lin, C.-H.

    2010-06-01

    Purpose: A better understanding of the prognostic factors in oral cavity squamous cell carcinoma (OSCC) may optimize the therapeutic approach. In this study, we sought to investigate whether the combination of clinical information, pathologic results, and preoperative maximal standardized uptake value (SUVmax) at the primary tumor and regional lymph nodes might improve the prognostic stratification in this patient group. Methods and Materials: A total of 347 consecutive OSCC patients were investigated. All participants underwent fluorodeoxyglucose-positron emission tomography within 2 weeks before surgery and neck dissection. The duration of follow-up was at least 24 months in all surviving patients. The optimal cutoff values for SUVmax at the primary tumor (SUVtumor-max) and regional lymph nodes (SUVnodal-max) were selected according to the 5-year disease-free survival (DFS) rate. Independent prognosticators were identified by Cox regression analysis. Results: In multivariate analysis, a cutoff SUVtumor-max of 8.6, a cutoff SUVnodal-max of 5.7, and the presence of pathologic lymph node metastases were found to be significant prognosticators for the 5-year DFS. A scoring system using these three prognostic factors was formulated to define distinct prognostic groups. The 5-year rates for patients with a score between 0 and 3 were as follows: neck control, 94%, 86%, 77%, 59% (p < 0.0001); distant metastases, 1%, 7%, 22%, 47% (p < 0.0001); disease-specific survival, 93%, 85%, 61%, 36%, respectively (p < 0.0001). Conclusion: Based on the study findings, the combined evaluation of pathologic node status and SUVmax at the primary tumor and regional lymph nodes may improve prognostic stratification in OSCC patients.

  14. Effects of Medicated Diet to Eradicate Helicobacter spp. on Growth, Pathology, and Infection Status in Rag1–/– and Nude Mice

    PubMed Central

    Garrett, Caroline M; Muth, Dillon; Watson, Julie

    2014-01-01

    The use of a commercial 4-drug diet has been shown to eradicate Helicobacter spp. from immunocompetent mice and those with innate immunodeficiencies. However the efficacy of this diet has not been confirmed in mice with altered adaptive immunity. We hypothesized that an 8-wk treatment with medicated diet would eradicate H. hepaticus and H. typhlonius from young naturally infected nude and Rag1 mice lacking functional T cells (Foxn1nu) or T and B cells (B6.129S7-Rag1tm1Mom/J), respectively. We evaluated helicobacter status, body weight, and gross and histologic changes between medicated and control diet in groups of infected and uninfected mice throughout treatment and at 8 wk after treatment completion. Initial infection status was confirmed by fecal PCR at weaning and 3 wk later, with study initiation in 7-wk-old mice. PCR testing demonstrated that independent of strain and sex, all treated mice tested negative for Helicobacter spp. after 4 wk of treatment and remained negative for the duration of the study. Irrespective of infection status, nude and Rag1 mice fed 8 wk of medicated diet gained less weight than did their untreated controls. Both strains normalized body weight while on control diet for the 8 wk after treatment. Mice fed medicated diet developed severe gastroesophageal hyperkeratosis, suggestive of reduced feed consumption, and enlarged ceca. These conditions improved or resolved after the return to control diet. This report is the first to demonstrate the efficacy and physical effects of providing medicated diet for the eradication of Helicobacter spp. from mice with adaptive immune deficiencies. PMID:24827565

  15. Field Verification of the Prediction Model on Desert Locust Adult Phase Status From Density and Vegetation

    PubMed Central

    Cissé, S.; Ghaout, S.; Babah Ebbe, M. A; Kamara, S; Piou, C.

    2016-01-01

    Previous studies investigated the effect of vegetation on density thresholds of adult Desert Locust gregarization from historical data in Mauritania. We examine here the prediction of locust phase based on adult density and vegetation conditions using the statistical model from Cisse et al. compared with actual behavior of Desert Locust adults observed in the field in Mauritania. From the 130 sites where adult locusts were found, the model predicted the phase of Desert Locust adults with a relatively small error of prediction of 6.1%. Preventive locust control should be rational, based on a risk assessment. The staff involved in implementation of the preventive control strategy needs specific indicators for when or where chemical treatment should be done. In this respect, we show here that the statistical model of Cisse et al. may be appropriate. PMID:27432351

  16. Field Verification of the Prediction Model on Desert Locust Adult Phase Status From Density and Vegetation.

    PubMed

    Cissé, S; Ghaout, S; Babah Ebbe, M A; Kamara, S; Piou, C

    2016-01-01

    Previous studies investigated the effect of vegetation on density thresholds of adult Desert Locust gregarization from historical data in Mauritania. We examine here the prediction of locust phase based on adult density and vegetation conditions using the statistical model from Cisse et al. compared with actual behavior of Desert Locust adults observed in the field in Mauritania. From the 130 sites where adult locusts were found, the model predicted the phase of Desert Locust adults with a relatively small error of prediction of 6.1%. Preventive locust control should be rational, based on a risk assessment. The staff involved in implementation of the preventive control strategy needs specific indicators for when or where chemical treatment should be done. In this respect, we show here that the statistical model of Cisse et al. may be appropriate. PMID:27432351

  17. Vitamin D status predicts reproductive fitness in a wild sheep population

    PubMed Central

    Handel, Ian; Watt, Kathryn A.; Pilkington, Jill G.; Pemberton, Josephine M.; Macrae, Alastair; Scott, Philip; McNeilly, Tom N.; Berry, Jacqueline L.; Clements, Dylan N.; Nussey, Daniel H.; Mellanby, Richard J.

    2016-01-01

    Vitamin D deficiency has been associated with the development of many human diseases, and with poor reproductive performance in laboratory rodents. We currently have no idea how natural selection directly acts on variation in vitamin D metabolism due to a total lack of studies in wild animals. Here, we measured serum 25 hydroxyvitamin D (25(OH)D) concentrations in female Soay sheep that were part of a long-term field study on St Kilda. We found that total 25(OH)D was strongly influenced by age, and that light coloured sheep had higher 25(OH)D3 (but not 25(OH)D2) concentrations than dark sheep. The coat colour polymorphism in Soay sheep is controlled by a single locus, suggesting vitamin D status is heritable in this population. We also observed a very strong relationship between total 25(OH)D concentrations in summer and a ewe’s fecundity the following spring. This resulted in a positive association between total 25(OH)D and the number of lambs produced that survived their first year of life, an important component of female reproductive fitness. Our study provides the first insight into naturally-occurring variation in vitamin D metabolites, and offers the first evidence that vitamin D status is both heritable and under natural selection in the wild. PMID:26757805

  18. Evidence of Differential Effects of Vitamin D Receptor Variants on Epithelial Ovarian Cancer Risk by Predicted Vitamin D Status

    PubMed Central

    Prescott, Jennifer; Bertrand, Kimberly A.; Reid, Brett M.; Permuth-Wey, Jennifer; De Vivo, Immaculata; Cramer, Daniel W.; Terry, Kathryn L.; Tworoger, Shelley S.

    2014-01-01

    Introduction: Experimental studies suggest vitamin D inhibits ovarian carcinogenesis. Yet, epidemiologic studies of ovarian cancer risk and lifestyle correlates of vitamin D status, plasma 25-hydroxyvitamin D [25(OH)D], or vitamin D receptor (VDR) variants have been inconsistent. Objective: To evaluate VDR genetic associations by high vs. low predicted 25(OH)D, scores derived from known determinants of plasma 25(OH)D. To assess ovarian cancer associations with variants identified in genome-wide association studies (GWAS) of plasma 25(OH)D. Methods: We genotyped up to seven VDR and eight 25(OH)D GWAS variants in the Nurses’ Health Studies (562 cases, 1,553 controls) and New England Case–Control study (1,821 cases, 1,870 controls). We estimated haplotype scores using expectation-maximization-based algorithms. We used unconditional logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CI). We combined study results using DerSimonian and Laird meta-analysis. Results: Ovarian cancer risk increased per A allele of rs7975232 (VDR; OR = 1.12, 95% CI = 1.01–1.25) among all women. When stratified by predicted 25(OH)D, ovarian cancer was associated with rs731236 (VDR; per C allele OR = 1.31) and rs7975232 (OR = 1.38) among women with high predicted 25(OH)D, but not among women with low levels (P ≤ 0.009). We also observed heterogeneity by predicted 25(OH)D for the ovarian cancer association with VDR 3′ end haplotypes (P = 0.009). Of 25(OH)D-associated GWAS loci, rs7041 was associated with reduced ovarian cancer risk (per T allele OR = 0.92, 95% CI = 0.85-0.99), which did not differ by predicted 25(OH)D status. Conclusion: Our study suggests an influence of VDR 3′ end variants on ovarian cancer risk may be observed in women with high predicted 25(OH)D, which remained even after taking multiple comparisons into consideration. Future studies are needed to confirm our results and explore further the relation

  19. Seamless Meteorology-Chemistry Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research

    NASA Astrophysics Data System (ADS)

    Baklanov, Alexander; EuMetChem Team

    2015-04-01

    Online coupled meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main timestep for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This paper is an overall outcome of the European COST Action ES1004: European Framework for Online Integrated Air Quality and Meteorology Modelling (EuMetChem) and conclusions from the recently organized Symposium on Coupled Chemistry-Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research. It offers a review of the current research status of online coupled meteorology and atmospheric chemistry modelling, a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; and highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. It presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

  20. Assessment of Spacecraft Operational Status Using Electro-Optical Predictive Techniques

    NASA Astrophysics Data System (ADS)

    Swann, D.; Klem, B.; McCoy, B.

    2010-09-01

    The current class of small satellite systems presents an analyst responsible for monitoring spacecraft operational status and early detection of detrimental anomalies with a broad variety of sensing and identification issues and challenges. Simple, small, cube-shaped satellites, without protruding solar panel appendages, may require enhanced preflight characterization processes to support monitoring by passive, remote, nonimaging optical sensors. This paper will describe spacecraft optical signature modeling and simulation techniques to develop sensing and identification algorithms for observing and characterizing key spacecraft features. The simulation results are based on electro-optical signatures apparent to nonimaging sensors, along with related observable features derived from multicolor and multiviewing aspect scenarios. This model and simulation analysis capability is used to support programs to monitor spacecraft performance status and identify anomalies associated with spacecraft damage/deterioration due to space debris or micrometeorite impact, thruster exhaust deposition or material aging. The development of state-of-the-art optical signature modeling tools to perform high-fidelity satellite models (such as the Air Force Academy FalconSat-5 or AFRL TacSat-3) simulations to characterize spectral radiant intensities apparent to passive, remote, nonresolved imaging sensors are described in detail. Simulations are performed for a comprehensive scenario range of natural (solar and earth) illumination and viewing conditions. Results are generated for comparing baseline, streamlined geometry models with the actual higher fidelity models that capture vehicle small-size hardware components and modifications. Output consisting of radiant intensity history apparent to ground-based sensor locations for vehicle trajectories that capture a comprehensive range of illumination conditions from the sun and underlying earth scene are presented for extensive spectral band

  1. Status and Direction of Tribology as a Science in the 80's. Understanding and Prediction

    NASA Technical Reports Server (NTRS)

    Tabor, D.

    1984-01-01

    The most challenging research problems in tribology for the next decade or beyond are classified horizontally into two categories: (1) understanding of basic mechanisms and (2) prediction of practical performance. Vertical classifications are in terms of particular themes or fields of interest. Areas where more fundamental work is required are: adhesion and friction of clean and contaminated surfaces; lubrication; new materials; surface characterization at the engineering level (topography) and at the atomic levels (various spectroscopies); and wear.

  2. Predicted vitamin D status and incidence of tooth loss and periodontitis

    PubMed Central

    Jimenez, Monik; Giovannucci, Edward; Kaye, Elizabeth Krall; Joshipura, Kaumudi J; Dietrich, Thomas

    2016-01-01

    Objective Vitamin D insufficiency is highly prevalent, with particular subgroups at greater risk (e.g. the elderly and those with darker skin). Vitamin D insufficiency may partly explain US racial/ethnic disparities in the prevalence of periodontitis and tooth loss. We evaluated the association between a predictor score of plasma 25-hydroxyvitamin D (25(OH)D) and incidence of periodontitis and tooth loss. Design Detailed biennial questionnaires were collected on medical history, lifestyle practices and incident periodontitis and tooth loss. The predictor score was derived from variables known to influence circulating concentrations of plasma 25(OH)D and validated against plasma concentrations among a sub-sample. Multivariable Cox proportional-hazards models with time-varying covariates estimated the association between the predicted 25(OH)D score and time until first tooth loss. Subjects A total of 42 730 participants of the Health Professionals Follow-Up Study aged 40–75 years at baseline were followed from 1986 to 2006. Setting USA, representing all fifty states and the District of Columbia. Results We observed 13 581 incident tooth loss events from 539 335 person-years. There was a dose-dependent significant inverse association across quintiles of the predicted 25(OH)D score and incidence of tooth loss. In multivariable analyses, the highest quintile of the updated predicted 25(OH)D score compared with the lowest was associated with a 20 % lower incidence of tooth loss (hazard ratio 5 0·80, 95 % CI 0·76, 0·85; P value for trend <0·0 0 1); UV-B was also independently associated. Results for the predicted 25(OH)D score and periodontitis were similar. Conclusions These results are suggestive of an association between predictors of vitamin D and lower incidence of tooth loss and periodontitis. PMID:23469936

  3. 18F-FDG uptake for prediction EGFR mutation status in non-small cell lung cancer.

    PubMed

    Guan, Jian; Xiao, Nan J; Chen, Min; Zhou, Wen L; Zhang, Yao W; Wang, Shuang; Dai, Yong M; Li, Lu; Zhang, Yue; Li, Qin Y; Li, Xiang Z; Yang, Mi; Wu, Hu B; Chen, Long H; Liu, Lai Y

    2016-07-01

    Epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) are a response to EGFR-tyrosine kinase inhibitor. However, a lack of sufficient tumor tissue has been a limitation for determining EGFR mutation status in clinical practice. The objective of this study was to predict EGFR mutation status in NSCLC patients based on a model including maximum standardized uptake value (SUVmax) and clinical features.We retrospectively reviewed NSCLC patients undergoing EGFR mutation testing and pretreatment positron emission tomography/computed tomography between March 2009 and December 2013. The relationships of EGFR mutations with both SUVmax and patient characteristics were evaluated, and a multivariate logistic regression analysis was performed. The model was assessed by area under the receiver-operating characteristic curve (AUC) and was prospectively validated during January to June 2014.Three hundred and sixteen patients meeting the criteria were enrolled for model construction. The SUVmax values were significantly lower for EGFR mutations (mean, 9.5 ± 5.74) than for EGFR wild-type (mean, 12.7 ± 6.43; P < 0.001). ROC curve analysis showed that the SUVmax cutoff point was 8.1, for which the AUC was 0.65 (95% confidence interval [CI], 0.60-0.72). In addition, multivariate analysis also showed that low SUVmax (≤8.1) was a predictor of EGFR mutations, for which the AUC was 0.77, combining nonsmoking history and primary tumor size (≤5 cm). Eighty-five patients were enrolled to validate the predictive model, and the overall accuracy, sensitivity, and specificity were 77.6%, 64.6% (95% CI 40.7-82.8), and 82.5% (95% CI 70.9-91.0), respectively.The specific FDG uptake value could be considered to effectively predict EGFR mutation status of NSCLC patients by considering smoking history and primary tumor size when genetic tests are not available. PMID:27472739

  4. The modified Telephone Interview for Cognitive Status is more predictive of memory abilities than the Mini Mental State Examination

    PubMed Central

    Duff, Kevin; Tometich, Danielle; Dennett, Kathryn

    2016-01-01

    Although not as popular as the Mini Mental State Examination (MMSE), the modified Telephone Interview for Cognitive Status (mTICS) has some distinct advantages when screening cognitive functioning in older adults. The current study compared these two cognitive screening measures in their ability to predict performance on a memory composite (i.e., delayed recall of verbal and visual information) in a cohort of 121 community-dwelling older adults, both at baseline and after one year. Both the MMSE and mTICS significantly correlated with the memory composite at baseline (r’s of 0.41 and 0.62, respectively) and one year (r’s of 0.36 and 0.50, respectively). At baseline, stepwise linear regression indicated that the mTICS and gender best predicted the memory composite score (R2=0.45, p<.001), and the MMSE and other demographic variables did not significantly improve the prediction. At one year, the results were very similar. Despite its lesser popularity, the mTICS may be a more attractive option when screening for cognitive abilities in this age range. PMID:25722349

  5. Periconception Maternal Folate Status and Human Embryonic Cerebellum Growth Trajectories: The Rotterdam Predict Study

    PubMed Central

    Koning, Irene V.; Groenenberg, Irene A. L.; Gotink, Anniek W.; Willemsen, Sten P.; Gijtenbeek, Manon; Dudink, Jeroen; Go, Attie T. J. I.; Reiss, Irwin K. M.; Steegers, Eric A. P.; Steegers-Theunissen, Régine P. M.

    2015-01-01

    We aimed to investigate whether periconceptional maternal folate status affects human embryonic cerebellar size and growth trajectories. In a prospective periconceptional cohort participants filled out questionnaires and received weekly transvaginal 3D-ultrasounds between 7+0 and 12+6 weeks gestational age (GA). Viable non-malformed singleton pregnancies were selected for cerebellar measurements; transcerebellar diameter, (TCD), left and right cerebellar diameters (LCD, RCD). Linear mixed models were performed to estimate associations between questionnaire data on the timing of maternal folic acid supplement initiation and longitudinal cerebellar measurements as a function of crown-rump length (CRL) and GA. Maternal red blood cell folate concentrations were analysed before 8 weeks GA to validate the associations. A total of 263 serial high quality three-dimensional ultrasound scans of 135 pregnancies were studied. Preconceptional compared to postconceptional initiation of folic acid use was associated with slightly larger cerebellar diameters per millimetre increase of CRL (TCD: β = 0.260mm, 95%CI = 0.023–0.491, p<0.05; LCD: β = 0.171mm, 95%CI = 0.038–0.305, p<0.05; RCD: β = 0.156mm, 95%CI = 0.032–0.280, p<0.05) and with proportional cerebellar growth (TCD/CRL:β = 0.015mm/mm, 95%CI = 0.005–0.024, p<0.01; LCD/CRL:β = 0.012mm/mm, 95%CI = 0.005–0.018, p<0.01; RCD/CRL:β = 0.011mm/mm, 95%CI = 0.005–0.017, p<0.01). Cerebellar growth was significantly highest in the third quartile of maternal red blood cell folate levels (1538–1813 nmol/L). These first findings show that periconceptional maternal folate status is associated with human embryonic cerebellar development. Implications of these small but significant variations for fetal cerebellar growth trajectories and the child’s neurodevelopmental outcome are yet unknown and warrant further investigation. PMID:26491876

  6. PIK3CA mutation / PTEN expression status predicts response of colon cancer cells to the EGFR inhibitor cetuximab

    PubMed Central

    Jhawer, Minaxi; Goel, Sanjay; Wilson, Andrew J.; Montagna, Cristina; Ling, Yi-He; Byun, Do-Sun; Nasser, Shannon; Arango, Diego; Shin, Joongho; Klampfer, Lidija; Augenlicht, Leonard H.; Soler, Roman Perez; Mariadason, John M.

    2014-01-01

    Cetuximab is a monoclonal antibody that targets the human epidermal growth factor receptor (EGFR). Although approved for use in EGFR over-expressing advanced colorectal cancer, recent studies have demonstrated a lack of association between EGFR over-expression and cetuximab response, requiring the identification of novel biomarkers predictive of response to this agent. To do so, 22 colon cancer cell lines were screened for cetuximab response in-vitro and sensitive and resistant lines identified. In sensitive cell lines cetuximab induced a G0/G1 arrest without inducing apoptosis. Notably, cetuximab sensitive but not resistant cell lines were preferentially responsive to EGF-stimulated growth. While neither EGFR protein/mRNA expression nor gene copy number correlated with cetuximab response, examination of the mutation status of signaling components downstream of EGFR demonstrated that cells lines with activating PIK3CA mutations or loss of PTEN expression (PTEN null) were more resistant to cetuximab than PIK3CA wild type/PTEN expressing cell lines (14±5.0% versus 38.5±6.4% growth inhibition, mean ± SEM, p=0.008). Consistently, PIK3CA mutant isogenic HCT116 cells showed increased resistance to cetuximab compared to PIK3CA wild type controls. Furthermore, cell lines that were PIK3CA mutant/PTEN null and Ras/BRAF mutant were highly resistant to cetuximab compared to those without dual mutations / PTEN loss (10.8±4.3% versus 38.8±5.9% growth inhibition, respectively, p=0.002), indicating constitutive and simultaneous activation of the Ras and PIK3CA pathways confers maximal resistance to this agent. A priori screening of colon tumors for PTEN expression status and PIK3CA and Ras/BRAF mutation status could help stratify patients likely to benefit from this therapy. PMID:18339877

  7. Factors Associated with Low Socioeconomic Status Predict Poor Postoperative Follow-up after Meningioma Resection.

    PubMed

    Nayeri, Arash; Brinson, Philip R; Weaver, Kyle D; Thompson, Reid C; Chambless, Lola B

    2016-06-01

    Objectives To quantify the rates of loss of follow-up after meningioma resection and to identify any key demographical associations. Design Retrospective cohort. Setting Vanderbilt University Medical Center, 2001-2013. Participants A total of 281 patients surgically treated for an intracranial meningioma at a single institution between 2001 and 2013. Main Outcome Measures Patient clinical follow-up within the first postoperative year. Results A history of tobacco use (p < 0.0001), ongoing alcohol abuse at time of presentation (p = 0.0014), Medicaid coverage (p < 0.0001), and lack of a college degree (p < 0.0001) were all found to be predictors of loss of follow-up at a statistically significant level. Conclusions Several factors associated with low socioeconomic status are predictors of poor clinical follow-up after meningioma resection. The health risk of poor follow-up in this patient population is significant, and increased measures are needed to ensure regular appointment attendance. PMID:27175317

  8. Serum DNA Motifs Predict Disease and Clinical Status in Multiple Sclerosis

    PubMed Central

    Beck, Julia; Urnovitz, Howard B.; Saresella, Marina; Caputo, Domenico; Clerici, Mario; Mitchell, William M.; Schütz, Ekkehard

    2010-01-01

    Using recently available mass sequencing and assembly technologies, we have been able to identify and quantify unique cell-free DNA motifs in the blood of patients with multiple sclerosis (MS). The most common MS clinical syndrome, relapsing-remitting MS (RRMS), is accompanied by a unique fingerprint of both inter- and intragenic cell-free circulating nucleic acids as specific DNA sequences that provide significant clinical sensitivity and specificity. Coding genes that are differentially represented in MS serum encode cytoskeletal proteins, brain-expressed regulators of growth, and receptors involved in nervous system signal transduction. Although coding genes distinguish RRMS and its clinical activity, several repeat sequences, such as the L1M family of LINE elements, are consistently different in all MS patients and clinical status versus the normal database. These data demonstrate that DNA motifs observed in serum are characteristic of RRMS and disease activity and are promising as a clinical tool in monitoring patient responses to treatment modalities. PMID:20228264

  9. Noise from interaction of flow with rigid surfaces: A review of current status of prediction techniques

    NASA Technical Reports Server (NTRS)

    Hayden, R. E.

    1972-01-01

    A brief review of some fundamental aspects of sound arising from turbulent boundary layers, noise due to flow past a single discontinuity (trailing edge), noise from airfoils operating in turbulent flow, and noise due to rigid flow discontinuities (spoilers) immersed in rigid ducts is presented. Emphasis is on dipole-like sound fields associated with turbulent flow past a trailing edge, rigid bodies in turbulence and in-duct spoilers. Representative available data are reviewed and evaluated in terms of theoretical considerations and, where possible, empirical prediction techniques are given in terms of convenient aerodynamic and geometric parameters. Limitations on current knowledge are discussed.

  10. Synergistic effects of resveratrol (free and inclusion complex) and sulfamethoxazole-trimetropim treatment on pathology, oxidant/antioxidant status and behavior of mice infected with Toxoplasma gondii.

    PubMed

    Bottari, Nathieli B; Baldissera, Matheus D; Tonin, Alexandre A; Rech, Virginia C; Alves, Catiane B; D'Avila, Fernanda; Thomé, Gustavo R; Guarda, Naiara S; Moresco, Rafael N; Camillo, Giovana; Vogel, Fernanda F; Luchese, Cristiane; Schetinger, Maria Rosa C; Morsch, Vera M; Tochetto, Camila; Fighera, Rafael; Nishihira, Vivian S K; Da Silva, Aleksandro S

    2016-06-01

    This study aimed to investigate the synergistic effects of resveratrol and sulfamethoxazole-trimethoprim (ST) on the treatment of mice experimentally infected by Toxoplasma gondii during the chronic phase of the disease considering infection, behavior, and oxidative/antioxidants profile aspects. For the study, 60 mice were initially divided into two groups: uninfected (n = 24) and infected by T. gondii (n = 36). These two groups were later subdivided into other groups and treated with resveratrol (free and inclusion complex containing resveratrol) alone and co-administered with ST: groups A to D were composed by healthy mice and groups E to J were consisted of animals infected by T. gondii (VEG strain). Treatments began 20 days post-infection for 10 consecutive days with oral doses of 0.5 mg kg(-1) of ST (groups B and F), 100 mg kg(-1) of free resveratrol (groups C and G) and inclusion complex of resveratrol (nanoparticles containing resveratrol) (groups D and H), and lastly an co-administration of both drugs (groups I and J). Behavioral tests (memory, anxiety and locomotion) were performed after treatment. Liver and brain fragments were collected to evaluate pathological changes, brain cysts counts, as well as oxidant and antioxidant levels. A reduction on the number of cysts in the brain of animals treated with both drugs combined was observed; there was also reduced number of lesions on both organs. This drug combined effect was also able to reduce oxidative and increase antioxidant levels in infected mice, which might be interpreted as a resveratrol protective effect. In addition, the combination of ST and resveratrol was able to prevent behavioral changes in infected mice. Therefore, the use of co-administration drugs enhances the therapeutic effect acting on a synergic way, reducing the oxidizing effects of the chemical treatment for toxoplasmosis. In addition, resveratrol in inclusion complex when co-administered with ST showed an improved

  11. Cartilage Status at Time of Arthroscopy Predicts Failure in Patients With Hip Dysplasia.

    PubMed

    Dwyer, Maureen K; Lee, Jo-Ann; McCarthy, Joseph C

    2015-09-01

    The purpose of our study was to determine whether chondral damage at the time of arthroscopy predicted conversion to THA in patients with dysplasia. We identified 166 patients with dysplasia who underwent hip arthroscopy. Forty-seven went on to receive THA. The articular cartilage of three regions of the acetabulum and femoral head were assessed for signs of chondral damage (absent, mild, or severe]). A stepwise multivariable logistic regression analysis revealed mild damage on the posterior femoral head (P=0.001) and severe damage on the anterior acetabulum (P=0.007) made a significant contribution to the predictor. The presence of mild posterior femoral head chondral changes was indicative of more global cartilage damage in this series of patients. Our findings show that chondral damage on the posterior femoral head and anterior acetabulum is a strong predictor of ultimate conversion to THA in dysplastic patients. PMID:26059500

  12. Status, Alert System, and Prediction of Cyanobacterial Bloom in South Korea

    PubMed Central

    Srivastava, Ankita; Ahn, Chi-Yong; Asthana, Ravi Kumar; Lee, Hyung-Gwan; Oh, Hee-Mock

    2015-01-01

    Bloom-forming freshwater cyanobacterial genera pose a major ecological problem due to their ability to produce toxins and other bioactive compounds, which can have important implications in illnesses of humans and livestock. Cyanobacteria such as Microcystis, Anabaena, Oscillatoria, Phormidium, and Aphanizomenon species producing microcystins and anatoxin-a have been predominantly documented from most South Korean lakes and reservoirs. With the increase in frequency of such blooms, various monitoring approaches, treatment processes, and prediction models have been developed in due course. In this paper we review the field studies and current knowledge on toxin producing cyanobacterial species and ecological variables that regulate toxin production and bloom formation in major rivers (Han, Geum, Nakdong, and Yeongsan) and reservoirs in South Korea. In addition, development of new, fast, and high-throughput techniques for effective monitoring is also discussed with cyanobacterial bloom advisory practices, current management strategies, and their implications in South Korean freshwater bodies. PMID:25705675

  13. Status and Plans for the TRANSP Interpretive and Predictive Simulation Code

    NASA Astrophysics Data System (ADS)

    Kaye, Stanley; Andre, Robert; Marina, Gorelenkova; Yuan, Xingqui; Hawryluk, Richard; Jardin, Steven; Poli, Francesca

    2015-11-01

    TRANSP is an integrated interpretive and predictive transport analysis tool that incorporates state of the art heating/current drive sources and transport models. The treatments and transport solvers are becoming increasingly sophisticated and comprehensive. For instance, the ISOLVER component provides a free boundary equilibrium solution, while the PT_SOLVER transport solver is especially suited for stiff transport models such as TGLF. TRANSP also incorporates such source models as NUBEAM for neutral beam injection, GENRAY, TORAY, TORBEAM, TORIC and CQL3D for ICRH, LHCD, ECH and HHFW. The implementation of selected components makes efficient use of MPI for speed up of code calculations. TRANSP has a wide international user-base, and it is run on the FusionGrid to allow for timely support and quick turnaround by the PPPL Computational Plasma Physics Group. It is being used as a basis for both analysis and development of control algorithms and discharge operational scenarios, including simulation of ITER plasmas. This poster will describe present uses of the code worldwide, as well as plans for upgrading the physics modules and code framework. Progress on implementing TRANSP as a component in the ITER IMAS will also be described. This research was supported by the U.S. Department of Energy under contracts DE-AC02-09CH11466.

  14. Nitrogen oxides emissions from thermal power plants in china: current status and future predictions.

    PubMed

    Tian, Hezhong; Liu, Kaiyun; Hao, Jiming; Wang, Yan; Gao, Jiajia; Qiu, Peipei; Zhu, Chuanyong

    2013-10-01

    Increasing emissions of nitrogen oxides (NOx) over the Chinese mainland have been of great concern due to their adverse impacts on regional air quality and public health. To explore and obtain the temporal and spatial characteristics of NOx emissions from thermal power plants in China, a unit-based method is developed. The method assesses NOx emissions based on detailed information on unit capacity, boiler and burner patterns, feed fuel types, emission control technologies, and geographical locations. The national total NOx emissions in 2010 are estimated at 7801.6 kt, of which 5495.8 kt is released from coal-fired power plant units of considerable size between 300 and 1000 MW. The top provincial emitter is Shandong where plants are densely concentrated. The average NOx-intensity is estimated at 2.28 g/kWh, markedly higher than that of developed countries, mainly owing to the inadequate application of high-efficiency denitrification devices such as selective catalytic reduction (SCR). Future NOx emissions are predicted by applying scenario analysis, indicating that a reduction of about 40% by the year 2020 can be achieved compared with emissions in 2010. These results suggest that NOx emissions from Chinese thermal power plants could be substantially mitigated within 10 years if reasonable control measures were implemented effectively. PMID:24010996

  15. Curriculum Guidelines for Pathology and Oral Pathology.

    ERIC Educational Resources Information Center

    Journal of Dental Education, 1985

    1985-01-01

    Guidelines for dental school pathology courses describe the interrelationships of general, systemic, and oral pathology; primary educational goals; prerequisites; a core curriculum outline and behavioral objectives for each type of pathology. Notes on sequencing, faculty, facilities, and occupational hazards are included. (MSE)

  16. Long-range weather prediction and prevention of climate catastrophes: a status report

    SciTech Connect

    Caldeira, K; Caravan, G; Govindasamy, B; Grossman, A; Hyde, R; Ishikawa, M; Ledebuhr, A; Leith, C; Molenkamp, C; Teller, E; Wood, L

    1999-08-18

    As the human population of Earth continues to expand and to demand an ever-higher quality-of-life, requirements for ever-greater knowledge--and then control--of the future of the state of the terrestrial biosphere grow apace. Convenience of living--and, indeed, reliability of life itself--become ever more highly ''tuned'' to the future physical condition of the biosphere being knowable and not markedly different than the present one, Two years ago, we reported at a quantitative albeit conceptual level on technical ways-and-means of forestalling large-scale changes in the present climate, employing practical means of modulating insolation and/or the Earth's mean albedo. Last year, we reported on early work aimed at developing means for creating detailed, high-fidelity, all-Earth weather forecasts of two weeks duration, exploiting recent and anticipated advances in extremely high-performance digital computing and in atmosphere-observing Earth satellites bearing high-technology instrumentation. This year, we report on recent progress in both of these areas of endeavor. Preventing the commencement of large-scale changes in the current climate presently appears to be a considerably more interesting prospect than initially realized, as modest insolation reductions are model-predicted to offset the anticipated impacts of ''global warming'' surprisingly precisely, in both space and time. Also, continued study has not revealed any fundamental difficulties in any of the means proposed for insolation modulation and, indeed, applicability of some of these techniques to other planets in the inner Solar system seems promising. Implementation of the high-fidelity, long-range weather-forecasting capability presently appears substantially easier with respect to required populations of Earth satellites and atmospheric transponders and data-processing systems, and more complicated with respect to transponder lifetimes in the actual atmosphere; overall, the enterprise seems more

  17. Attractiveness Compensates for Low Status Background in the Prediction of Educational Attainment

    PubMed Central

    Bauldry, Shawn; Shanahan, Michael J.; Russo, Rosemary; Roberts, Brent W.; Damian, Rodica

    2016-01-01

    Background People who are perceived as good looking or as having a pleasant personality enjoy many advantages, including higher educational attainment. This study examines (1) whether associations between physical/personality attractiveness and educational attainment vary by parental socioeconomic resources and (2) whether parental socioeconomic resources predict these forms of attractiveness. Based on the theory of resource substitution with structural amplification, we hypothesized that both types of attractiveness would have a stronger association with educational attainment for people from disadvantaged backgrounds (resource substitution), but also that people from disadvantaged backgrounds would be less likely to be perceived as attractive (amplification). Methods This study draws on data from the National Longitudinal Study of Adolescent to Adult Health—including repeated interviewer ratings of respondents’ attractiveness—and trait-state structural equation models to examine the moderation (substitution) and mediation (amplification) of physical and personality attractiveness in the link between parental socioeconomic resources and educational attainment. Results Both perceived personality and physical attractiveness have stronger associations with educational attainment for people from families with lower levels of parental education (substitution). Further, parental education and income are associated with both dimensions of perceived attractiveness, and personality attractiveness is positively associated with educational attainment (amplification). Results do not differ by sex and race/ethnicity. Further, associations between perceived attractiveness and educational attainment remain after accounting for unmeasured family-level confounders using a sibling fixed-effects model. Conclusions Perceived attractiveness, particularly personality attractiveness, is a more important psychosocial resource for educational attainment for people from disadvantaged

  18. Using Economic Input/Output Tables to Predict a Country’s Nuclear Status

    SciTech Connect

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a

  19. Long-range Weather Prediction and Prevention of Climate Catastrophes: A Status Report

    DOE R&D Accomplishments Database

    Caldeira, K.; Caravan, G.; Govindasamy, B.; Grossman, A.; Hyde, R.; Ishikawa, M.; Ledebuhr, A.; Leith, C.; Molenkamp, C.; Teller, E.; Wood, L.

    1999-08-18

    As the human population of Earth continues to expand and to demand an ever-higher quality-of-life, requirements for ever-greater knowledge--and then control--of the future of the state of the terrestrial biosphere grow apace. Convenience of living--and, indeed, reliability of life itself--become ever more highly ''tuned'' to the future physical condition of the biosphere being knowable and not markedly different than the present one. Two years ago, we reported at a quantitative albeit conceptual level on technical ways-and-means of forestalling large-scale changes in the present climate, employing practical means of modulating insolation and/or the Earth's mean albedo. Last year, we reported on early work aimed at developing means for creating detailed, high-fidelity, all-Earth weather forecasts of two weeks duration, exploiting recent and anticipated advances in extremely high-performance digital computing and in atmosphere-observing Earth satellites bearing high-technology instrumentation. This year, we report on recent progress in both of these areas of endeavor. Preventing the commencement of large-scale changes in the current climate presently appears to be a considerably more interesting prospect than initially realized, as modest insolation reductions are model-predicted to offset the anticipated impacts of ''global warming'' surprisingly precisely, in both space and time. Also, continued study has not revealed any fundamental difficulties in any of the means proposed for insolation modulation and, indeed, applicability of some of these techniques to other planets in the inner Solar system seems promising. Implementation of the high-fidelity, long-range weather-forecasting capability presently appears substantially easier with respect to required populations of Earth satellites and atmospheric transponders and data-processing systems, and more complicated with respect to transponder lifetimes in the actual atmosphere; overall, the enterprise seems more

  20. Predictive properties of DNA methylation patterns in primary tumor samples for osteosarcoma relapse status

    PubMed Central

    Rosenblum, Jeremy M; Wijetunga, N Ari; Fazzari, Melissa J; Krailo, Mark; Barkauskas, Donald A; Gorlick, Richard; Greally, John M

    2015-01-01

    Osteosarcoma is the most common primary malignant bone tumor in children. Validated biological markers for disease prognosis available at diagnosis are lacking. No genome-wide DNA methylation studies linked to clinical outcomes have been reported in osteosarcoma to the best of our knowledge. To address this, we tested the methylome at over 1.1 million loci in 15 osteosarcoma biopsy samples obtained prior to the initiation of therapy and correlated these molecular data with disease outcomes. At more than 17% of the tested loci, samples obtained from patients who experienced disease relapse were more methylated than those from patients who did not have recurrence while patients who did not experience disease relapse had more DNA methylation at fewer than 1%. In samples from patients who went on to have recurrent disease, increased DNA methylation was found at gene bodies, intergenic regions and empirically-annotated candidate enhancers, whereas candidate gene promoters were unusual for a more balanced distribution of increased and decreased DNA methylation with 6.6% of gene promoter loci being more methylated and 2% of promoter loci being less methylated in patients with disease relapse. A locus at the TLR4 gene demonstrates one of strongest associations between DNA methylation and 5 y event-free survival (P-value = 1.7 × 10−6), with empirical annotation of this locus showing promoter characteristics. Our data indicate that DNA methylation information has the potential to be predictive of outcome in pediatric osteosarcoma, and that both promoters and non-promoter loci are potentially informative in DNA methylation studies. PMID:25531418

  1. Resting state functional MRI connectivity predicts hypothalamus-pituitary-axis status in healthy males.

    PubMed

    Kiem, Sara A; Andrade, Kátia C; Spoormaker, Victor I; Holsboer, Florian; Czisch, Michael; Sämann, Philipp G

    2013-08-01

    Homeostasis of the human stress response system is critically maintained by a hierarchical system of neural and endocrine elements for which intact negative feedback is important to prevent maladaptation towards stress. Such feedback is efficiently probed by the established combined dexamethasone-suppression/corticotropin-releasing hormone stimulation (dex/CRH) test. Here we investigate which suprahypothalamic networks might modulate the response assessed by this neuroendocrine test. Combined resting state fMRI (rs-fMRI)/EEG was acquired in 20 healthy male volunteers along with dex/CRH profiles obtained on a different day outside the scanner. Seed-based network analysis and inter-seed cross correlation analysis for selected atlas-based limbic, paralimbic and medial prefrontal cortex seeds were correlated with stimulated cortisol and adrenocorticotropin hormone (ACTH) concentrations. Lower connectivity between a left hippocampus-based network and the right hippocampus significantly predicted stimulated cortisol concentration (R(2)=0.70, corrected pcluster=0.001). Six further significantly negative correlations were detected mainly in the left anterior cingulate cortex (ACC) and the medial prefrontal cortex (mPFC). The strongest positive correlation with stimulated hormone concentration was detected for the left subcallosal ACC (ACTH, R(2)=0.57, corrected pcluster=0.009). Inter-seed connectivity mainly pointed to hippocampal/amygdala interactions as correlates of the dex/CRH response. In conclusion, resting state functional connectivity patterns of limbic, particularly hippocampal, as well as cingulate and medial prefrontal areas can explain some of the variance of the dex/CRH test in healthy subjects. Functional connectivity analysis can be considered useful to study supra-hypothalamic control systems of the HPA axis. PMID:23279846

  2. IL17a and IL21 combined with surgical status predict the outcome of ovarian cancer patients.

    PubMed

    Chen, Yu-Li; Chou, Cheng-Yang; Chang, Ming-Cheng; Lin, Han-Wei; Huang, Ching-Ting; Hsieh, Shu-Feng; Chen, Chi-An; Cheng, Wen-Fang

    2015-10-01

    Aside from tumor cells, ovarian cancer-related ascites contains the immune components. The aim of this study was to evaluate whether a combination of clinical and immunological parameters can predict survival in patients with ovarian cancer. Ascites specimens and medical records from 144 ovarian cancer patients at our hospital were used as the derivation group to select target clinical and immunological factors to generate a risk-scoring system to predict patient survival. Eighty-two cases from another hospital were used as the validation group to evaluate this system. The surgical status and expression levels of interleukin 17a (IL17a) and IL21 in ascites were selected for the risk-scoring system in the derivation group. The areas under the receiver operating characteristic (AUROC) curves of the overall score for disease-free survival (DFS) of the ovarian cancer patients were 0.84 in the derivation group, 0.85 in the validation group, and 0.84 for all the patients. The AUROC curves of the overall score for overall survival (OS) of cases were 0.78 in the derivation group, 0.76 in the validation group, and 0.76 for all the studied patients. Good correlations between overall risk score and survival of the ovarian cancer patients were demonstrated by sub-grouping all participants into four groups (P for trend <0.001 for DFS and OS). Therefore, acombination of clinical and immunological parameters can provide a practical scoring system to predict the survival of patients with ovarian carcinoma. IL17a and IL21 can potentially be used as prognostic and therapeutic biomarkers. PMID:26150382

  3. Prediction of disease relapses by multibiomarker disease activity and autoantibody status in patients with rheumatoid arthritis on tapering DMARD treatment

    PubMed Central

    Rech, Juergen; Hueber, Axel J; Finzel, Stephanie; Englbrecht, Matthias; Haschka, Judith; Manger, Bernhard; Kleyer, Arnd; Reiser, Michaela; Cobra, Jayme Fogagnolo; Figueiredo, Camille; Tony, Hans-Peter; Kleinert, Stefan; Wendler, Joerg; Schuch, Florian; Ronneberger, Monika; Feuchtenberger, Martin; Fleck, Martin; Manger, Karin; Ochs, Wolfgang; Schmitt-Haendle, Matthias; Lorenz, Hanns-Martin; Nuesslein, Hubert; Alten, Rieke; Henes, Joerg; Krueger, Klaus; Schett, Georg

    2016-01-01

    Objective To analyse the role of multibiomarker disease activity (MBDA) score in predicting disease relapses in patients with rheumatoid arthritis (RA) in sustained remission who tapered disease modifying antirheumatic drug (DMARD) therapy in RETRO, a prospective randomised controlled trial. Methods MBDA scores (scale 1–100) were determined based on 12 inflammation markers in baseline serum samples from 94 patients of the RETRO study. MBDA scores were compared between patients relapsing or remaining in remission when tapering DMARDs. Demographic and disease-specific parameters were included in multivariate logistic regression analysis for defining predictors of relapse. Results Moderate-to-high MBDA scores were found in 33% of patients with RA overall. Twice as many patients who relapsed (58%) had moderate/high MBDA compared with patients who remained in remission (21%). Baseline MBDA scores were significantly higher in patients with RA who were relapsing than those remaining in stable remission (N=94; p=0.0001) and those tapering/stopping (N=59; p=0.0001). Multivariate regression analysis identified MBDA scores as independent predictor for relapses in addition to anticitrullinated protein antibody (ACPA) status. Relapse rates were low (13%) in patients who were MBDA−/ACPA−, moderate in patients who were MBDA+/ACPA− (33.3%) and MBDA−ACPA+ (31.8%) and high in patients who were MBDA+/ACPA+ (76.4%). Conclusions MBDA improved the prediction of relapses in patients with RA in stable remission undergoing DMARD tapering. If combined with ACPA testing, MBDA allowed prediction of relapse in more than 80% of the patients. Trial registration number EudraCT 2009-015740-42. PMID:26483255

  4. Expression of Estrogen Receptor Beta Predicts Oncologic Outcome of pT3 Upper Urinary Tract Urothelial Carcinoma Better Than Aggressive Pathological Features

    PubMed Central

    Luo, Hao Lun; Sung, Ming Tse; Tsai, Eing Mei; Lin, Chang Shen; Lee, Nai Lun; Chung, Yueh-Hua; Chiang, Po Hui

    2016-01-01

    Upper urinary tract urothelial carcinoma (UT-UC) is rare and treatment options or prognostic markers are limited. There is increasing evidence indicating that urothelial carcinoma may be an endocrine-related cancer. The aim of this study was to analyze the prognostic effect of estrogen receptor beta (ERβ) on the outcome of UT-UC. From 2005 to 2012, this study included 105 patients with pT3 UT-UC. Perioperative factors, pathological features, and ERβ immunostaining were reviewed and prognostic effects were examined by multivariate analysis. This study divided patients into either the ERβ-high (n = 52) or ERβ-low (n = 53) group and analyzed their oncologic outcomes. All pathological features except infiltrating tumor architecture (significantly higher incidence in ERβ-low group, p = 0.004) are symmetric in both groups. Low ERβ expression was significantly correlated with local recurrence and distant metastasis in univariate analysis (p = 0.035 and 0.004, respectively) and multivariate analysis (p = 0.05 and 0.008, respectively). Cell line study also proved that knock down of ERβ cause less UTUC proliferation and migration. In addition, ERβ agonist also enhanced the cytotoxic and migration inhibition effect of cisplatin and ERβ antagonist cause the UTUC cell more resistant to cisplatin. This result may help identify patients in need of adjuvant therapy or develop potential targeted therapy. PMID:27052470

  5. Systemic inflammatory status at baseline predicts bevacizumab benefit in advanced non-small cell lung cancer patients

    PubMed Central

    Botta, Cirino; Barbieri, Vito; Ciliberto, Domenico; Rossi, Antonio; Rocco, Danilo; Addeo, Raffaele; Staropoli, Nicoletta; Pastina, Pierpaolo; Marvaso, Giulia; Martellucci, Ignazio; Guglielmo, Annamaria; Pirtoli, Luigi; Sperlongano, Pasquale; Gridelli, Cesare; Caraglia, Michele; Tassone, Pierfrancesco; Tagliaferri, Pierosandro; Correale, Pierpaolo

    2013-01-01

    Bevacizumab is a humanized anti-VEGF monoclonal antibody able to produce clinical benefit in advanced non-squamous non-small-cell lung cancer (NSCLC) patients when combined to chemotherapy. At present, while there is a rising attention to bevacizumab-related adverse events and costs, no clinical or biological markers have been identified and validated for baseline patient selection. Preclinical findings suggest an important role for myeloid-derived inflammatory cells, such as neutrophils and monocytes, in the development of VEGF-independent angiogenesis. We conducted a retrospective analysis to investigate the role of peripheral blood cells count and of an inflammatory index, the neutrophil-to-lymphocyte ratio (NLR), as predictors of clinical outcome in NSCLC patients treated with bevacizumab plus chemotherapy. One hundred twelve NSCLC patients treated with chemotherapy ± bevacizumab were retrospectively evaluated for the predictive value of clinical or laboratory parameters correlated with inflammatory status. Univariate analysis revealed that a high number of circulating neutrophils and monocytes as well as a high NLR were associated with shorter progression-free survival (PFS) and overall survival (OS) in bevacizumab-treated patients only. We have thus developed a model based on the absence or the presence of at least one of the above-mentioned inflammatory parameters. We found that the absence of all variables strongly correlated with longer PFS and OS (9.0 vs. 7.0 mo, HR: 0.39, p = 0.002; and 20.0 vs. 12.0 mo, HR: 0.29, p < 0.001 respectively) only in NSCLC patients treated with bevacizumab plus chemotherapy. Our results suggest that a baseline systemic inflammatory status is marker of resistance to bevacizumab treatment in NSCLC patients. PMID:23760488

  6. Systemic inflammatory status at baseline predicts bevacizumab benefit in advanced non-small cell lung cancer patients.

    PubMed

    Botta, Cirino; Barbieri, Vito; Ciliberto, Domenico; Rossi, Antonio; Rocco, Danilo; Addeo, Raffaele; Staropoli, Nicoletta; Pastina, Pierpaolo; Marvaso, Giulia; Martellucci, Ignazio; Guglielmo, Annamaria; Pirtoli, Luigi; Sperlongano, Pasquale; Gridelli, Cesare; Caraglia, Michele; Tassone, Pierfrancesco; Tagliaferri, Pierosandro; Correale, Pierpaolo

    2013-06-01

    Bevacizumab is a humanized anti-VEGF monoclonal antibody able to produce clinical benefit in advanced non-squamous non-small-cell lung cancer (NSCLC) patients when combined to chemotherapy. At present, while there is a rising attention to bevacizumab-related adverse events and costs, no clinical or biological markers have been identified and validated for baseline patient selection. Preclinical findings suggest an important role for myeloid-derived inflammatory cells, such as neutrophils and monocytes, in the development of VEGF-independent angiogenesis. We conducted a retrospective analysis to investigate the role of peripheral blood cells count and of an inflammatory index, the neutrophil-to-lymphocyte ratio (NLR), as predictors of clinical outcome in NSCLC patients treated with bevacizumab plus chemotherapy. One hundred and twelve NSCLC patients treated with chemotherapy ± bevacizumab were retrospectively evaluated for the predictive value of clinical or laboratory parameters correlated with inflammatory status. Univariate analysis revealed that a high number of circulating neutrophils and monocytes as well as a high NLR were associated with shorter progression-free survival (PFS) and overall survival (OS) in bevacizumab-treated patients only. We have thus developed a model based on the absence or the presence of at least one of the above-mentioned inflammatory parameters. We found that the absence of all variables strongly correlated with longer PFS and OS (9.0 vs. 7.0 mo, HR: 0.39, p = 0.002; and 20.0 vs. 12.0 mo, HR: 0.29, p < 0.001 respectively) only in NSCLC patients treated with bevacizumab plus chemotherapy. Our results suggest that a baseline systemic inflammatory status is marker of resistance to bevacizumab treatment in NSCLC patients. PMID:23760488

  7. Central Asia cryosphere dynamics: retrospective analysis, contemporary status, and prediction (Invited)

    NASA Astrophysics Data System (ADS)

    Aizen, V. B.; Aizen, E.; Surazakov, A.; Takeuchi, N.; Fujita, K.; Mayewski, P. A.; Grigholm, B. O.

    2010-12-01

    Central Asia (CA) mountain system is a giant highland in the center of Eurasia accumulates a huge amount of snow and ice similar to the Arctic and Antarctic. Existing ensembles of GCM predict warming for CA at a large scale. Increase in air temperature since 19th century, after the “Little Ice Age”, has induced seasonal snow shrinkage and glaciers recession globally with acceleration particularly at the end of 20th century. However, the change in seasonal snow and glacier melt is not a liner process and different even in one mountain system. Since the 1970s the reduction of snow covered area in Tien Shan (TS) amounted 15% (120,000km2) while in Pamir (PA) didn’t significantly change and increased in Karakorum (KA). The Altai (AL), TS and Tibet (TI) glaciers lost approximately 8% of their area while Pamir only 5%. The largest TS and PA glacierized massifs lost 2-4% their area whereas dispersed small glaciers (<2.0km2) lost up to 25%. The PA and KA glacierized massifs are more stable to the modern climate change due to high elevated accumulation areas and increased precipitation in the last two decades. The geothermal observations in TS, AL and TI indicated permafrost warming up to 0.6°C since 1970s. The average active-layer thickness has increased up to 25% (Marchenko et al., 2008). The river runoff in large glacierized basins increased up to 8% but decreased in snow-fed basins on 2% in average. The present extents of glaciers in CA are generally believed to be remnants of the last deglaciation (Grosswald, et al., 1994, Kuhle, 2004) however our recent ice-cores recovered from AL and TS demonstrated that glaciers did not exist during Bolling/Allerod interstadial period and were formed between 12,500 and 11,500 BP in CA at elevations below 5000 masl. The climate conditions during the late Pleistocene were considerably warmer then present. Most likely AL and TS glaciers have been formed during early Holocene in response to changes in atmospheric circulation

  8. Sensitivity Analysis of the MGMT-STP27 Model and Impact of Genetic and Epigenetic Context to Predict the MGMT Methylation Status in Gliomas and Other Tumors.

    PubMed

    Bady, Pierre; Delorenzi, Mauro; Hegi, Monika E

    2016-05-01

    The methylation status of the O(6)-methylguanine-DNA methyltransferase (MGMT) gene is an important predictive biomarker for benefit from alkylating agent therapy in glioblastoma. Our model MGMT-STP27 allows prediction of the methylation status of the MGMT promoter using data from the Illumina's Human Methylation BeadChips (HM-27K and HM-450K) that is publically available for many cancer data sets. Here, we investigate the impact of the context of genetic and epigenetic alterations and tumor type on the classification and report on technical aspects, such as robustness of cutoff definition and preprocessing of the data. The association between gene copy number variation, predicted MGMT methylation, and MGMT expression revealed a gene dosage effect on MGMT expression in lower grade glioma (World Health Organization grade II/III) that in contrast to glioblastoma usually carry two copies of chromosome 10 on which MGMT resides (10q26.3). This implies some MGMT expression, potentially conferring residual repair function blunting the therapeutic effect of alkylating agents. A sensitivity analyses corroborated the performance of the original cutoff for various optimization criteria and for most data preprocessing methods. Finally, we propose an R package mgmtstp27 that allows prediction of the methylation status of the MGMT promoter and calculation of appropriate confidence and/or prediction intervals. Overall, MGMT-STP27 is a robust model for MGMT classification that is independent of tumor type and is adapted for single sample prediction. PMID:26927331

  9. Prediction of striatal D2 receptor binding by DRD2/ANKK1 TaqIA allele status.

    PubMed

    Eisenstein, Sarah A; Bogdan, Ryan; Love-Gregory, Latisha; Corral-Frías, Nadia S; Koller, Jonathan M; Black, Kevin J; Moerlein, Stephen M; Perlmutter, Joel S; Barch, Deanna M; Hershey, Tamara

    2016-10-01

    In humans, the A1 (T) allele of the dopamine (DA) D2 receptor/ankyrin repeat and kinase domain containing 1 (DRD2/ANKK1) TaqIA (rs1800497) single nucleotide polymorphism has been associated with reduced striatal DA D2/D3 receptor (D2/D3R) availability. However, radioligands used to estimate D2/D3R are displaceable by endogenous DA and are nonselective for D2R, leaving the relationship between TaqIA genotype and D2R specific binding uncertain. Using the positron emission tomography (PET) radioligand, (N-[(11) C]methyl)benperidol ([(11) C]NMB), which is highly selective for D2R over D3R and is not displaceable by endogenous DA, the current study examined whether DRD2/ANKK1 TaqIA genotype predicts D2R specific binding in two independent samples. Sample 1 (n = 39) was composed of obese and nonobese adults; sample 2 (n = 18) was composed of healthy controls, unmedicated individuals with schizophrenia, and siblings of individuals with schizophrenia. Across both samples, A1 allele carriers (A1+) had 5 to 12% less striatal D2R specific binding relative to individuals homozygous for the A2 allele (A1-), regardless of body mass index or diagnostic group. This reduction is comparable to previous PET studies of D2/D3R availability (10-14%). The pooled effect size for the difference in total striatal D2R binding between A1+ and A1- was large (0.84). In summary, in line with studies using displaceable D2/D3R radioligands, our results indicate that DRD2/ANKK1 TaqIA allele status predicts striatal D2R specific binding as measured by D2R-selective [(11) C]NMB. These findings support the hypothesis that DRD2/ANKK1 TaqIA allele status may modify D2R, perhaps conferring risk for certain disease states. PMID:27241797

  10. Investigation of a redox-sensitive predictive model of mouse embryonic stem cells differentiation using quantitative nuclease protection assays and glutathione redox status

    EPA Science Inventory

    Investigation of a redox-sensitive predictive model of mouse embryonic stem cell differentiation via quantitative nuclease protection assays and glutathione redox status Chandler KJ,Hansen JM, Knudsen T,and Hunter ES 1. U.S. Environmental Protection Agency, Research Triangl...