The Biostatistics Core will provide essential biostatistical support to investigators on the Northwest Prostate Cancer SPORE. This Core will link study design, data collection, measurement, and analysis to the critical hypotheses and questions of the Northwest Prostate Cancer SPORE through the following Specific Aims: 1. Study Design: Define study hypotheses, study populations and experimental parameters to answer the research questions of interest, reduce systematic bias and ensure a high likelihood of detection of biologically meaningful effects. 2. Analysis and Interpretation: Identify and implement state-of-the-art quantitative methods to address the scientific questions of interest and provide valid statistical inferences about the evidence supporting the various study hypotheses. Provide necessary bioinformatics expertise for study interpretation. 3. Methods Development: Where appropriate statistical methods are inadequate or lacking, devise and implement novel quantitative approaches to address study questions of interest. During the prior funding periods, the Biostatistics Core played an integral role in the collection, validation and analysis of data for SPORE projects. Our experience has shown that involvement of statisticians from the concept phase yields studies that are better designed, more likely to answer the scientific questions of interest, and, ultimately, more compelling in their conclusions. Therefore the Core will continue to function though close collaboration with investigators from the beginning through the life of each SPORE study. The Biostatistics Core operates from within the Biostatistics Program at the FHCRC. Investigators on the Core play leadership roles on funded studies and programs whose missions overlap considerably with that of the Core. These include the Data management and Coordinating Center for the Early Detection Research Network, and the Program in Computational Biology and Bioinformatics at the FHCRC. Access to and collaboration with these programs will enhance the Core's ability to address analytic questions raised by SPORE studies using cutting-edge, and, if necessary, novel techniques.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA097186-11A1
Application #
8555018
Study Section
Special Emphasis Panel (ZCA1-RPRB-M (M1))
Project Start
2002-09-19
Project End
2018-08-31
Budget Start
2013-09-17
Budget End
2014-08-31
Support Year
11
Fiscal Year
2013
Total Cost
$162,378
Indirect Cost
$71,522
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Uo, T; Dvinge, H; Sprenger, C C et al. (2016) Systematic and functional characterization of novel androgen receptor variants arising from alternative splicing in the ligand-binding domain. Oncogene :
Zhang, Ailin; Zhang, Jiawei; Plymate, Stephen et al. (2016) Classical and Non-Classical Roles for Pre-Receptor Control of DHT Metabolism in Prostate Cancer Progression. Horm Cancer 7:104-13
Lam, Hung-Ming; McMullin, Ryan; Nguyen, Holly et al. (2016) Characterization of an abiraterone ultraresponsive phenotype in castration-resistant prostate cancer patient-derived xenografts. Clin Cancer Res :
Faltermeier, Claire M; Drake, Justin M; Clark, Peter M et al. (2016) Functional screen identifies kinases driving prostate cancer visceral and bone metastasis. Proc Natl Acad Sci U S A 113:E172-81
Qu, Xiaoyu; Jeldres, Claudio; Glaskova, Lena et al. (2016) Identification of Combinatorial Genomic Abnormalities Associated with Prostate Cancer Early Recurrence. J Mol Diagn 18:215-24
Saranchova, Iryna; Han, Jeffrey; Huang, Hui et al. (2016) Discovery of a Metastatic Immune Escape Mechanism Initiated by the Loss of Expression of the Tumour Biomarker Interleukin-33. Sci Rep 6:30555
Shui, Irene M; Kolb, Suzanne; Hanson, Christi et al. (2016) Trichomonas vaginalis infection and risk of advanced prostate cancer. Prostate 76:620-3
Gulati, Roman; Cheng, Heather H; Lange, Paul H et al. (2016) Screening men at increased risk for prostate cancer diagnosis: Model estimates of benefits and harms. Cancer Epidemiol Biomarkers Prev :
Pritchard, Colin C; Mateo, Joaquin; Walsh, Michael F et al. (2016) Inherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer. N Engl J Med 375:443-53
Coleman, Daniel J; Van Hook, Kathryn; King, Carly J et al. (2016) Cellular androgen content influences enzalutamide agonism of F877L mutant androgen receptor. Oncotarget 7:40690-40703

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