The Dana-Farber/Harvard Cancer Center (DF/HCC) SPORE in Prostate Cancer Biostatistics and Computational Biology Core collaborates and provides consultation on all research activities within the SPORE, including SPORE Projects, Developmental Projects, Projects of the Career Development Awardees, and other SPORE Cores, to ensure the highest standards of scientific rigor in areas of study design, data management and integrity, and data analysis and interpretation.
The specific aims are to: 1. Provide biostatistical and computational biology expertise for the planning and design, conduct, analysis, and reporting of laboratory, genomic, animal, translational, clinical (including associated correlative studies), and epidemiological studies for SPORE projects. Developmental Projects, Projects of the Career Development Awardees, and other SPORE Cores. 2. Provide consultation on all issues of data management and integrity, including data collection, storage, transfer and quality assurance, on statistical and computational biology software and programs, and on coordination of laboratory results with parameters and outcomes from clinical studies or clinical/translational research databases. 3. Provide short-term biostatistics and computational biology consulting to the entire group of SPORE researchers.

Public Health Relevance

The Biostatistics and Computational Biology Core is an integral part of research activities within the DF/HCC SPORE in Prostate Cancer. The Core's objective is to ensure the highest standards of scientific rigor in areas of study design, data integrity, and data analysis and interpretation.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA090381-13
Application #
8896742
Study Section
Special Emphasis Panel (ZCA1-RPRB-M)
Project Start
Project End
2016-06-30
Budget Start
2015-07-01
Budget End
2016-06-30
Support Year
13
Fiscal Year
2015
Total Cost
$188,517
Indirect Cost
$81,231
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
Larimer, Benjamin M; Bloch, Emily G; Nesti, Sarah et al. (2018) The Effectiveness of Checkpoint Inhibitor Combinations and Administration Timing Can Be Measured by Granzyme B PET Imaging. Clin Cancer Res :
Barber, Lauren; Gerke, Travis; Markt, Sarah C et al. (2018) Family History of Breast or Prostate Cancer and Prostate Cancer Risk. Clin Cancer Res 24:5910-5917
Chen, Sen; Cai, Changmeng; Sowalsky, Adam G et al. (2018) BMX-Mediated Regulation of Multiple Tyrosine Kinases Contributes to Castration Resistance in Prostate Cancer. Cancer Res 78:5203-5215
Pakula, Hubert; Linn, Douglas E; Schmidt, Daniel R et al. (2018) Protocols for Studies on TMPRSS2/ERG in Prostate Cancer. Methods Mol Biol 1786:131-151
Elfandy, Habiba; Armenia, Joshua; Pederzoli, Filippo et al. (2018) Genetic and Epigenetic Determinants of Aggressiveness in Cribriform Carcinoma of the Prostate. Mol Cancer Res :
Han, W; Gao, S; Barrett, D et al. (2018) Reactivation of androgen receptor-regulated lipid biosynthesis drives the progression of castration-resistant prostate cancer. Oncogene 37:710-721
Stopsack, Konrad H; Gonzalez-Feliciano, Amparo G; Peisch, Samuel F et al. (2018) A Prospective Study of Aspirin Use and Prostate Cancer Risk by TMPRSS2:ERG Status. Cancer Epidemiol Biomarkers Prev 27:1231-1233
Russo, Joshua W; Liu, Xiaming; Ye, Huihui et al. (2018) Phosphorylation of androgen receptor serine 81 is associated with its reactivation in castration-resistant prostate cancer. Cancer Lett 438:97-104
Pettersson, Andreas; Gerke, Travis; Penney, Kathryn L et al. (2018) MYC Overexpression at the Protein and mRNA Level and Cancer Outcomes among Men Treated with Radical Prostatectomy for Prostate Cancer. Cancer Epidemiol Biomarkers Prev 27:201-207
Tsang, Sabrina H; Peisch, Samuel F; Rowan, Brendan et al. (2018) Association between Trichomonas vaginalis and prostate cancer mortality. Int J Cancer :

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