Diet is a risk factor for many cancers. However, the appropriate latent period for dietary risk factors is unknown. A strength of the NHS database is the availability of repeat dietary information over 30+ years. One goal of this application (aim 1) is to obtain optimal methods of weighting repeated measures of diet over a 30 year period using an exponential smoothing weighting function. This approach will also be applied to non-dietary exposures such as cigarette smoking and hormone use over a long period of time. Another innovation in cancer epidemiology is the availability of multiple tumor markers which can refine the epidemiology of specific cancers according to tumor type, and help confirm the causality of an association. However, as the number of tumor markers gets large, the number of subsets of tumors also gets large.
In aim 2, we propose survival analysis methods to estimate the 2-way interaction between risk factors and tumor types as well as 3-way interactions between risk factors and combinations of tumor types. Improvements in cancer risk prediction are increasingly occurring with novel risk factors measured in case-control datasets.
Aim 3 of this application combines information on novel risk factors in case/control datasets with standard risk factors in prospective datasets to improve risk prediction. For breast cancer, an Important predictor is age at menopause. However, this is only known for women with natural menopause and bilateral oophorectomy.
In aim 4, we seek to estimate age at natural menopause among other surgical menopause women to reduce bias and enhance precision of breast cancer risk prediction.
In aim 5, we will extend the colon cancer risk prediction model developed in the previous cycle of this grant, by developing separate models for proximal cancer, distal cancer and rectal cancer. We also consider novel methods of analysis of recurrent colorectal adenoma outcome data using interval censored survival methods. This Project will interact closely with Projects 1-3 to improve our understanding of the etiology of breast, colorectal and ovarian cancers in women. It also shares with the other Projects a strong administrative and scientific infrastructure provided by Cores A (cohort follow-up and data base maintenance), B (confirmation of cancer and cause of death), C (management of the biospecimens) and D (leadership and data analysis).
This project is aimed at developing methods for refining cancer risk prediction in different ways: efficient use of time dependent covariates, estimation of risk profiles defined by tumor markers and combining risk factor information from case/control and prospective datasets.The overall goal of this project is to refine data analysis technique used in cancer epidemiology which will aid in etiology as well as in identifying women who truly are at high risk for breast, colorectal and ovarian cancer.
| Kim, Hanseul; Keum, NaNa; Giovannucci, Edward L et al. (2018) Garlic intake and gastric cancer risk: Results from two large prospective US cohort studies. Int J Cancer 143:1047-1053 |
| Reeves, Katherine W; Okereke, Olivia I; Qian, Jing et al. (2018) Depression, Antidepressant Use, and Breast Cancer Risk in Pre- and Postmenopausal Women: A Prospective Cohort Study. Cancer Epidemiol Biomarkers Prev 27:306-314 |
| Liu, Li; Tabung, Fred K; Zhang, Xuehong et al. (2018) Diets That Promote Colon Inflammation Associate With Risk of Colorectal Carcinomas That Contain Fusobacterium nucleatum. Clin Gastroenterol Hepatol 16:1622-1631.e3 |
| Lin, Brian M; Li, Wen-Qing; Cho, Eunyoung et al. (2018) Statin use and risk of skin cancer. J Am Acad Dermatol 78:682-693 |
| Bhagwandin, Candida; Ashbeck, Erin L; Whalen, Michael et al. (2018) The E3 ubiquitin ligase MARCH1 regulates glucose-tolerance and lipid storage in a sex-specific manner. PLoS One 13:e0204898 |
| AlDubayan, Saud H; Giannakis, Marios; Moore, Nathanael D et al. (2018) Inherited DNA-Repair Defects in Colorectal Cancer. Am J Hum Genet 102:401-414 |
| 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 |
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