| Literature DB >> 28600297 |
Hazel B Nichols1, Minouk J Schoemaker2, Lauren B Wright2, Craig McGowan3, Mark N Brook2, Kathleen M McClain3, Michael E Jones2, Hans-Olov Adami4, Claudia Agnoli5, Laura Baglietto6, Leslie Bernstein7, Kimberly A Bertrand8, William J Blot9, Marie-Christine Boutron-Ruault6, Lesley Butler10, Yu Chen11, Michele M Doody12, Laure Dossus13, A Heather Eliassen14, Graham G Giles15, Inger T Gram16, Susan E Hankinson17, Judy Hoffman-Bolton18, Rudolf Kaaks19, Timothy J Key20, Victoria A Kirsh21, Cari M Kitahara12, Woon-Puay Koh22, Susanna C Larsson23, Eiliv Lund24, Huiyan Ma7, Melissa A Merritt25, Roger L Milne15, Carmen Navarro26,27, Kim Overvad28, Kotaro Ozasa29, Julie R Palmer8, Petra H Peeters30, Elio Riboli25, Thomas E Rohan31, Atsuko Sadakane29, Malin Sund32, Rulla M Tamimi14, Antonia Trichopoulou33, Lars Vatten34, Kala Visvanathan18,35, Elisabete Weiderpass36,37,38,39, Walter C Willett40, Alicja Wolk23, Anne Zeleniuch-Jacquotte11, Wei Zheng9, Dale P Sandler41, Anthony J Swerdlow2,42.
Abstract
Breast cancer is a leading cancer diagnosis among premenopausal women around the world. Unlike rates in postmenopausal women, incidence rates of advanced breast cancer have increased in recent decades for premenopausal women. Progress in identifying contributors to breast cancer risk among premenopausal women has been constrained by the limited numbers of premenopausal breast cancer cases in individual studies and resulting low statistical power to subcategorize exposures or to study specific subtypes. The Premenopausal Breast Cancer Collaborative Group was established to facilitate cohort-based analyses of risk factors for premenopausal breast cancer by pooling individual-level data from studies participating in the United States National Cancer Institute Cohort Consortium. This article describes the Group, including the rationale for its initial aims related to pregnancy, obesity, and physical activity. We also describe the 20 cohort studies with data submitted to the Group by June 2016. The infrastructure developed for this work can be leveraged to support additional investigations. Cancer Epidemiol Biomarkers Prev; 26(9); 1360-9. ©2017 AACR. ©2017 American Association for Cancer Research.Entities:
Mesh:
Year: 2017 PMID: 28600297 PMCID: PMC5581673 DOI: 10.1158/1055-9965.EPI-17-0246
Source DB: PubMed Journal: Cancer Epidemiol Biomarkers Prev ISSN: 1055-9965 Impact factor: 4.254