This is a UIVII application to support the infrastructure of the original Nurses' Health Study (NHS). The NHS began in 1976 with 121,700 women, and has accumulated data from 19 questionnaires over 37 years; follow-up remains about 90 percent. The wealth of behavioral data combined with multiple bio-specimen collections, including blood, toenails, urine, buccal cells and tumor tissues beginning in 1.983 from a substantial proportion of women, provide an unparalleled resource in studying cancer prevention, etiology, and survival. Sustained follow-up of the NHS through repeated questionnaire mailings and continued identification of cancer incidence and mortality will permit critical new research. With the cohort's maturation (women are now 66+ years, at peak ages for cancer incidence), we propose to add emphasis to two overarching themes. First, we propose to expand the infrastructure for cancer survival research, including both the duration and quality of life in cancer patients. The many years of characterization of cancer patients before and after diagnosis, will allow us to distinguish between causes and consequences of cancer and its treatment. Second, we propose to improve our infrastructure to support a systems biology approach to our research, integrating questionnaire data with biomarkers in DNA, blood, tumor tissue, and other bio specimens; such research simultaneously integrating multiple systems, including behavior, genomics, transcriptomics, metabolomics, etc., may illuminate new mechanisms underlying cancer. Our large and growing number of incident cancer cases, and the unique combination of questionnaires and bio specimens, are a necessity for such integrative research. Specifically, our Aims include new collection of quality of life data, new (collection of tumor tissue (resulting in tissue collections, across 17 cancer sites), improved dat management/statistical support for big data analyses, and enhanced infrastructure for data sharing (the NHS resource is already extensively utilized - we have provided access to >75 external investigators in the past 5-6 years and 27 NCI cancer consortia). The NHS structure combines the long experience of senior leaders with support of several developing leaders; this combination is purposeful, to maintain leadership to sustain the cohort's future. In conclusion, NHS is well-positioned to continue cutting-edge research to reduce cancer morbidity and mortality. With the previous investment from NIH and investigators, the incremental costs of continuing this cohort are modest in relation to the uniquely valuable findings that will emerge in the coming 5 years.

Public Health Relevance

This UMI application is to extend follow-up of the original Nurses' Health Study, with extensive data on health, and lifestyle, integrated with biologic data (e.g., genomics, plasma biomarkers, tumor tissue, etc.), enabling novel research on cancer etiology, prevention and survival. No other cohort of comparable size includes such long follow-up with repeated behavioral measures, and bio specimens from 82,000 women. This enables studies of the time frame for causal and preventive factors for cancer etiology and survival.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project with Complex Structure Cooperative Agreement (UM1)
Project #
5UM1CA186107-04
Application #
9334549
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Mahabir, Somdat
Project Start
2014-07-22
Project End
2019-06-30
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
4
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
Rotstein, Dalia L; Cortese, Marianna; Fung, Teresa T et al. (2018) Diet quality and risk of multiple sclerosis in two cohorts of US women. Mult Scler :1352458518807061
Li, Jun; Rice, Megan S; Huang, Tianyi et al. (2018) Circulating prolactin concentrations and risk of type 2 diabetes in US women. Diabetologia 61:2549-2560
Huang, Tianyi; Lin, Brian M; Markt, Sarah C et al. (2018) Sex differences in the associations of obstructive sleep apnoea with epidemiological factors. Eur Respir J 51:
Park, Min Kyung; Li, Wen-Qing; Qureshi, Abrar A et al. (2018) Fat Intake and Risk of Skin Cancer in U.S. Adults. Cancer Epidemiol Biomarkers Prev 27:776-782
Chen, Steven T; Li, Xin; Han, Jiali (2018) Personal history of non-melanoma skin cancer diagnosis and death from melanoma in women. Int J Cancer 142:1536-1541
Barbhaiya, Medha; Tedeschi, Sara K; Lu, Bing et al. (2018) Cigarette smoking and the risk of systemic lupus erythematosus, overall and by anti-double stranded DNA antibody subtype, in the Nurses' Health Study cohorts. Ann Rheum Dis 77:196-202
Liu, Gang; Li, Yanping; Hu, Yang et al. (2018) Influence of Lifestyle on Incident Cardiovascular Disease and Mortality in Patients With Diabetes Mellitus. J Am Coll Cardiol 71:2867-2876
Song, Mingyang; Zheng, Yan; Qi, Lu et al. (2018) Associations between genetic variants associated with body mass index and trajectories of body fatness across the life course: a longitudinal analysis. Int J Epidemiol 47:506-515
Ma, Wenjie; Jovani, Manol; Liu, Po-Hong et al. (2018) Association Between Obesity and Weight Change and Risk of Diverticulitis in Women. Gastroenterology 155:58-66.e4
Chang, Shun-Chiao; Prescott, Jennifer; De Vivo, Immaculata et al. (2018) Polygenic risk score of shorter telomere length and risk of depression and anxiety in women. J Psychiatr Res 103:182-188

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