|Grant Number:||5R01CA050385-25 Interpret this number|
|Primary Investigator:||Willett, Walter|
|Organization:||Harvard School Of Public Health|
|Project Title:||Risk Factors for Breast Cancer in Younger Nurses|
DESCRIPTION (provided by applicant): We propose to continue the follow-up of 116,678 women who in 1989 were enrolled in the prospective Nurses' Health Study II (NHSII) to identify potentially modifiable determinants of breast cancer risk in young women. In this unique cohort, exposure information has been collected at two-year intervals beginning when women were 25-42 years of age. Active response to follow-up questionnaires has been approximately 90% and ascertainment of deaths is virtually complete; through 2011 we expect 4023 incident cases of invasive breast cancer. Since 1989, we have collected plasma, DNA, red blood cells, and urine samples from participants; already these resources have provided many new insights on factors that influence the incidence of premenopausal breast cancer. Our proposed specific aims build upon the extensive exposure information collected during premenopausal years and substantially extend the original objectives. Specifically, we will evaluate whether associations we have seen with high school and premenopausal adult diet, adolescent physical activity, shift work, and melatonin secretion also influence risk of postmenopausal breast cancer. To assess potential underlying mechanisms for an association we observed with consumption of red meat, we will evaluate the relation of plasma ferritin to risk of breast cancer. Further we will assess whether specific carotenoids, and plasma enterolactone predict risk. We will also evaluate whether the associations that we observe between modifiable factors and risk of breast cancer are accounted for by increased mammographic density. We will use emerging results from genome wide association studies (GWAS) to construct a genetic risk score based on the collective effects of multiple polymorphisms with established links to breast cancer; among women at higher genetic risk we evaluate the potential for risk reduction by the modifiable risk factors that we have identified. We will also use the information on traditional and novel risk factors, plasma hormone levels, mammographic density, and the genetic risk score that will be available in NHSII to create a new prediction model for premenopausal breast cancer specifically and also for postmenopausal breast cancer using exposures ascertained before menopause in addition to traditional risk factors determined after menopause. This breadth of information should substantially outperform available models and identify individual women at high risk for focused research and, potentially, preventive interventions. The results of the proposed aims will continue to provide new information on the origins of premenopausal and postmenopausal breast cancer; and on modifiable risk factors. In addition to these specific aims, the follow-up of the NHSII cohort provides a key source of data and biological specimens from young women that are used by multiple consortia and collaborations, and that provide the foundation for many ancillary studies related to women's health.
Application of the Rosner-Wei risk-prediction model to estimate sexual orientation patterns in colon cancer risk in a prospective cohort of US women.
Authors: Austin SB, Pazaris MJ, Wei EK, Rosner B, Kennedy GA, Bowen D, Spiegelman D
Source: Cancer Causes Control, 2014 Aug;25(8), p. 999-1006.
EPub date: 2014 May 23.
Physical activity and sedentary behaviors associated with risk of progression from gestational diabetes mellitus to type 2 diabetes mellitus: a prospective cohort study.
Authors: Bao W, Tobias DK, Bowers K, Chavarro J, Vaag A, Grunnet LG, StrÝm M, Mills J, Liu A, Kiely M, Zhang C
Source: JAMA Intern Med, 2014 Jul;174(7), p. 1047-55.
Daytime sleepiness and risk of coronary heart disease and stroke: results from the Nurses' Health Study II.
Authors: Gangwisch JE, Rexrode K, Forman JP, Mukamal K, Malaspina D, Feskanich D
Source: Sleep Med, 2014 Jul;15(7), p. 782-8.
EPub date: 2014 Apr 13.
Mammographic density phenotypes and risk of breast cancer: a meta-analysis.
Authors: Pettersson A, Graff RE, Ursin G, Santos Silva ID, McCormack V, Baglietto L, Vachon C, Bakker MF, Giles GG, Chia KS, Czene K, Eriksson L, Hall P, Hartman M, Warren RM, Hislop G, Chiarelli AM, Hopper JL, Krishnan K, Li J, Li Q, Pagano I, Rosner BA, Wong CS, Scott C, Stone J, Maskarinec G, Boyd NF, van Gils CH, Tamimi RM
Source: J Natl Cancer Inst, 2014 May 10;106(5), p. null.
EPub date: 2014 May 10.
Prospective study of obesity, hypertension, high cholesterol, and risk of restless legs syndrome.
Authors: De Vito K, Li Y, Batool-Anwar S, Ning Y, Han J, Gao X
Source: Mov Disord, 2014 Jul;29(8), p. 1044-52.
EPub date: 2014 Apr 21.
Plasma free 25-hydroxyvitamin D, vitamin D binding protein, and risk of breast cancer in the Nurses' Health Study II.
Authors: Wang J, Eliassen AH, Spiegelman D, Willett WC, Hankinson SE
Source: Cancer Causes Control, 2014 Jul;25(7), p. 819-27.
EPub date: 2014 Apr 20.
Plasma 25-hydroxyvitamin D and risk of premenstrual syndrome in a prospective cohort study.
Authors: Bertone-Johnson ER, Hankinson SE, Forger NG, Powers SI, Willett WC, Johnson SR, Manson JE
Source: BMC Womens Health, 2014 Apr 12;14, p. 56.
EPub date: 2014 Apr 12.
Dairy food and nutrient intake in different life periods in relation to risk of ovarian cancer.
Authors: Merritt MA, Poole EM, Hankinson SE, Willett WC, Tworoger SS
Source: Cancer Causes Control, 2014 Jul;25(7), p. 795-808.
EPub date: 2014 Apr 11.
Association of urinary concentrations of bisphenol A and phthalate metabolites with risk of type 2 diabetes: a prospective investigation in the Nurses' Health Study (NHS) and NHSII cohorts.
Authors: Sun Q, Cornelis MC, Townsend MK, Tobias DK, Eliassen AH, Franke AA, Hauser R, Hu FB
Source: Environ Health Perspect, 2014 Jun;122(6), p. 616-23.
EPub date: 2014 Mar 13.