An overarching goal of this Project is to further understanding of breast, colon, and ovarian cancers, by developing and applying new methods for data analysis. Specifically, drawing on data from the cohort and from a new diet validation study to be conducted in 2006, we will address aims related to measurement error correction with repeated diet assessment.
A second aim relates to the examination of combined endpoints. We will refine methods to apply polychotomous logistic regression to outcomes in Projects 1 to 3, we will apply methods to specific topics including: a. Risk factors for ductal vs. Iobular breast cancer b. Dietary exposures (alcohol, folate, etc.) vs. ER/PR status in breast cancer c. Risk factors for ovarian cancers (i). Serous vs Mucinous vs. endometrioid / clear cell ovarian cancers (ii). Mucinous vs. non-mucinous ovarian cancers Risk factors for total mortality, including cardiovascular, cancer, and other endpoints, as well as leading cancer endpoints individually, will also be examined. Statistical models, which assume constancy of relative risks for a given risk factor, may be inappropriate when a combined outcome is being evaluated, though such models are often used. Using the methods of log-incidence modeling previously applied to breast and ovarian cancer, we will draw on data from Project 2 to develop a model for colon cancer. We will also evaluate causal inference in the context of breast cancer risk factors, and haplotype estimation and geneenvironment interactions. The close collaborations among investigators in this project with those in projects 1, 2, and 3, has led to the development and application of methods and important insights into cancer etiology. Continued collaborations with investigators addressing specific cancers will provide synergy in future investigations. The close work among the investigators from various projects maximizes efficiency, provides important input from a variety of sources, prevents duplication of effort, and results in a more coherent presentation of results across endpoints.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA087969-10
Application #
7793462
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2009-04-01
Budget End
2010-03-31
Support Year
10
Fiscal Year
2009
Total Cost
$155,718
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Bailey, Jessica N Cooke; Gharahkhani, Puya; Kang, Jae H et al. (2018) Testosterone Pathway Genetic Polymorphisms in Relation to Primary Open-Angle Glaucoma: An Analysis in Two Large Datasets. Invest Ophthalmol Vis Sci 59:629-636
Liu, Ying; Colditz, Graham A; Rosner, Bernard A et al. (2018) Comparison of Performance Between a Short Categorized Lifestyle Exposure-based Colon Cancer Risk Prediction Tool and a Model Using Continuous Measures. Cancer Prev Res (Phila) 11:841-848
Li, Wen-Qing; Drucker, Aaron M; Cho, Eunyoung et al. (2018) Tetracycline use and risk of incident skin cancer: a prospective study. Br J Cancer 118:294-298
Wu, Juan; Wilson, Kathryn M; Stampfer, Meir J et al. (2018) A 24-year prospective study of dietary ?-linolenic acid and lethal prostate cancer. Int J Cancer 142:2207-2214
Khawaja, Anthony P; Cooke Bailey, Jessica N; Wareham, Nicholas J et al. (2018) Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nat Genet 50:778-782
Samieri, Cécilia; Morris, Martha-Clare; Bennett, David A et al. (2018) Fish Intake, Genetic Predisposition to Alzheimer Disease, and Decline in Global Cognition and Memory in 5 Cohorts of Older Persons. Am J Epidemiol 187:933-940
Sarma, Elizabeth A; Kawachi, Ichiro; Poole, Elizabeth M et al. (2018) Social integration and survival after diagnosis of colorectal cancer. Cancer 124:833-840
Merritt, Melissa A; Rice, Megan S; Barnard, Mollie E et al. (2018) Pre-diagnosis and post-diagnosis use of common analgesics and ovarian cancer prognosis (NHS/NHSII): a cohort study. Lancet Oncol 19:1107-1116
Bertrand, Kimberly A; Eliassen, A Heather; Hankinson, Susan E et al. (2018) Circulating Hormones and Mammographic Density in Premenopausal Women. Horm Cancer 9:117-127
Hu, Yang; Ding, Ming; Yuan, Chen et al. (2018) Association Between Coffee Intake After Diagnosis of Colorectal Cancer and Reduced Mortality. Gastroenterology 154:916-926.e9

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