The candidate's long-term career goal is to become an independent investigator with interdisciplinary expertise in statistical genetics, bioinformatic, and cost-effectiveness analysis to advance individualized colorectal cancer (CRC) prevention in the context of precision medicine. Current guidelines endorse the initiation of screening colonoscopy at age 50 with a 10-year colonoscopy-screening interval for the average-risk population. Although lifestyle, a family history of CRC, and genetic susceptibility influence risk f developing CRC, those factors are not currently incorporated in colonoscopy-screening recommendations. Building on her prior work in colonoscopy screening, the candidate seeks to fill this knowledge gap by optimizing colonoscopy screening according to an individual's lifestyle, family history, and genetic susceptibility. Specifically, the candidate proposes to: 1) develop and validate a risk prediction model for CRC incidence based on lifestyle, family history, and known genetic susceptibility loci; 2) determine optimal age of initiation and interval of colonoscopy screening for individuals characterized as high-risk according to this prediction model; 3) evaluate the cost- effectiveness of a colonoscopy-screening program tailored according to individual's risk; and 4) identify biological pathways and networks that underlie CRCs that arise despite a negative colonoscopy within 5 years (interval CRCs). To achieve these goals, the candidate and her mentors have designed a career development plan for research and educational training to obtain: 1) advanced didactic training in statistical genetics, bioinformatis, and cost-effectiveness analysis; 2) practical experience to synthesize data from multiple sources including epidemiological, bioinformatics, and economic data; 3) enhanced understanding of CRC etiology and genomics; and 4) extensive analytical skills using pooled data from large consortia. To achieve the proposed research aims, the candidate will utilize two large prospective cohort studies, the Nurses' Health Study (NHS) and the Health Professionals Follow-up Study (HPFS), in which data on endoscopy- screening status have biennially collected among 88,902 participants over the last 26 years. Within these cohorts, a substantial number of participants have been characterized for genetic susceptibility to CRC and cases of CRC have been molecularly profiled. The candidate will also validate findings within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), which includes a large independent cohort of men and women. The interdisciplinary mentorship and advisory team comprised of national leaders in epidemiology, statistical genetics, bioinformatics, and decision science will provide the requisite expertise to ensure the success of this proposal and the candidate in her critical transition towards an independent investigator. This integrated examination of lifestyle factors, family history, genetic variation, and the molecular interdependency network of interval CRC may lead to the development of more efficacious and cost-effective CRC screening guidelines that can substantially reduce the U.S.'s overall burden of CRC.

Public Health Relevance

Colorectal cancer (CRC) is the third leading cause of cancer death in the United States. Although individual risk for CRC varies according to lifestyle, family history of colorectal cancer, and genetic susceptibility, current guidelines do not consider those factors in colonoscopy-screening recommendations. Thus, we will comprehensively investigate the efficacy and cost-effectiveness of tailoring colonoscopy-screening according to those factors, and identify biological pathways of interval CRCs that arise despite colonoscopy within 5 years.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Academic/Teacher Award (ATA) (K07)
Project #
5K07CA190673-05
Application #
9326254
Study Section
Subcommittee I - Transistion to Independence (NCI)
Program Officer
Perkins, Susan N
Project Start
2014-09-18
Project End
2019-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
5
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Hamada, Tsuyoshi; Liu, Li; Nowak, Jonathan A et al. (2018) Vitamin D status after colorectal cancer diagnosis and patient survival according to immune response to tumour. Eur J Cancer 103:98-107
Nevo, Daniel; Nishihara, Reiko; Ogino, Shuji et al. (2018) The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure. Lifetime Data Anal 24:425-442
Ma, Siyuan; Ogino, Shuji; Parsana, Princy et al. (2018) Continuity of transcriptomes among colorectal cancer subtypes based on meta-analysis. Genome Biol 19:142
Neumeyer, Sonja; Banbury, Barbara L; Arndt, Volker et al. (2018) Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 118:1639-1647
Ogino, Shuji; Nowak, Jonathan A; Hamada, Tsuyoshi et al. (2018) Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine. Gut 67:1168-1180
Grasso, Catherine S; Giannakis, Marios; Wells, Daniel K et al. (2018) Genetic Mechanisms of Immune Evasion in Colorectal Cancer. Cancer Discov 8:730-749
Liu, Li; Nevo, Daniel; Nishihara, Reiko et al. (2018) Utility of inverse probability weighting in molecular pathological epidemiology. Eur J Epidemiol 33:381-392
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
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
Hamada, Tsuyoshi; Zhang, Xuehong; Mima, Kosuke et al. (2018) Fusobacterium nucleatum in Colorectal Cancer Relates to Immune Response Differentially by Tumor Microsatellite Instability Status. Cancer Immunol Res 6:1327-1336

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