Abstract

The Biostatistics Core facility provides the statistical and computational support for allGI cancer SPORE investigators. The Core will support consultation and collaboration on all aspects of study design, database development and quality control, and analysis and interpretation of data.
The specific aims of this core facility are to: 1. Provide ready access to statistical expertise and computing consultation to the GI cancer SPORE program. 2. Provide biostatistical expertise for the planning, conduct, analysis and reporting of laboratory experiments, epidemiology studies and clinical trials. 3. Advise and support SPORE investigators and their data collectors (technicians, nurses, data managers, etc.) in the areas of data form design, data collection, record abstraction, computerization, database designing and management, and data qualitycontrol. Provide a scientific computing facility suitable to meet the statistical analysis of GI cancer SPORE investigators, including technical assistance in moving data between various computers and operating system environments.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA127003-04
Application #
8135279
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2010-07-01
Budget End
2011-06-30
Support Year
4
Fiscal Year
2010
Total Cost
$168,073
Indirect Cost

  Institution

Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215

  Publications

Babic, A; Schnure, N; Neupane, N P et al. (2018) Plasma inflammatory cytokines and survival of pancreatic cancer patients. Clin Transl Gastroenterol 9:145
Lopes-Ramos, Camila M; Kuijjer, Marieke L; Ogino, Shuji et al. (2018) Gene Regulatory Network Analysis Identifies Sex-Linked Differences in Colon Cancer Drug Metabolism. Cancer Res 78:5538-5547
Van Blarigan, Erin L; Ou, Fang-Shu; Niedzwiecki, Donna et al. (2018) Dietary Fat Intake after Colon Cancer Diagnosis in Relation to Cancer Recurrence and Survival: CALGB 89803 (Alliance). Cancer Epidemiol Biomarkers Prev 27:1227-1230
Patra, Krushna C; Kato, Yasutaka; Mizukami, Yusuke et al. (2018) Mutant GNAS drives pancreatic tumourigenesis by inducing PKA-mediated SIK suppression and reprogramming lipid metabolism. Nat Cell Biol 20:811-822
Katona, Bryson W; Yurgelun, Matthew B; Garber, Judy E et al. (2018) A counseling framework for moderate-penetrance colorectal cancer susceptibility genes. Genet Med 20:1324-1327
Jeon, Jihyoun; Du, Mengmeng; Schoen, Robert E et al. (2018) Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors. Gastroenterology 154:2152-2164.e19
Kosumi, Keisuke; Hamada, Tsuyoshi; Koh, Hideo et al. (2018) The Amount of Bifidobacterium Genus in Colorectal Carcinoma Tissue in Relation to Tumor Characteristics and Clinical Outcome. Am J Pathol 188:2839-2852
Aguirre, Andrew J (2018) Refining Classification of Pancreatic Cancer Subtypes to Improve Clinical Care. Gastroenterology 155:1689-1691
Wong, Gabrielle S; Zhou, Jin; Liu, Jie Bin et al. (2018) Targeting wild-type KRAS-amplified gastroesophageal cancer through combined MEK and SHP2 inhibition. Nat Med 24:968-977
Wang, Xiaoliang; Chan, Andrew T; Slattery, Martha L et al. (2018) Influence of Smoking, Body Mass Index, and Other Factors on the Preventive Effect of Nonsteroidal Anti-Inflammatory Drugs on Colorectal Cancer Risk. Cancer Res 78:4790-4799

Showing the most recent 10 out of 590 publications