OBJECTIVE: Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and different tumor subtypes in relation to the degree, number, and age at diagnosis of affected relatives. METHODS: Cox Proportional Hazards to calculate risks (hazard ratios; 95% confidence interval) of breast cancer and tumor subtypes for women with a family history of breast cancer relative to women without a family history among a cohort of 75,189 women age >or=40 years of whom 1,087 were diagnosed with breast cancer from June 1, 2001-December 31, 2005 (median follow-up 3.16 years). RESULTS: Breast cancer risk was highest for women with a first-degree family history (1.54; 1.34-1.77); and did not differ substantially by the affected relative's age at diagnosis or by number of affected first-degree relatives. A second-degree family history only was not associated with a significantly increased breast cancer risk (1.15; 0.98-1.35). There was a suggestion that a positive family history was associated with risk of triple positive (Estrogen+/Progesterone+/HER2+) and HER2-overexpressing tumors. CONCLUSIONS: While a family history of breast cancer in first-degree relatives is an important risk factor for breast cancer, gathering information such as the age at diagnosis of affected relatives or information on second-degree relative history may be unnecessary in assessing personal breast cancer risk among women age >or=40 years.
OBJECTIVE: Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and different tumor subtypes in relation to the degree, number, and age at diagnosis of affected relatives. METHODS: Cox Proportional Hazards to calculate risks (hazard ratios; 95% confidence interval) of breast cancer and tumor subtypes for women with a family history of breast cancer relative to women without a family history among a cohort of 75,189 women age >or=40 years of whom 1,087 were diagnosed with breast cancer from June 1, 2001-December 31, 2005 (median follow-up 3.16 years). RESULTS:Breast cancer risk was highest for women with a first-degree family history (1.54; 1.34-1.77); and did not differ substantially by the affected relative's age at diagnosis or by number of affected first-degree relatives. A second-degree family history only was not associated with a significantly increased breast cancer risk (1.15; 0.98-1.35). There was a suggestion that a positive family history was associated with risk of triple positive (Estrogen+/Progesterone+/HER2+) and HER2-overexpressing tumors. CONCLUSIONS: While a family history of breast cancer in first-degree relatives is an important risk factor for breast cancer, gathering information such as the age at diagnosis of affected relatives or information on second-degree relative history may be unnecessary in assessing personal breast cancer risk among women age >or=40 years.
Authors: W Y Huang; B Newman; R C Millikan; K Conway; B S Hulka; M J Schell; E T Liu Journal: Cancer Epidemiol Biomarkers Prev Date: 2000-01 Impact factor: 4.254
Authors: C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein Journal: Nature Date: 2000-08-17 Impact factor: 49.962
Authors: H Swede; K B Moysich; J L Freudenheim; J T Quirk; P C Muti; T C Hurd; S B Edge; J S Winston; A M Michalek Journal: Cancer Detect Prev Date: 2001
Authors: G A Colditz; W C Willett; D J Hunter; M J Stampfer; J E Manson; C H Hennekens; B A Rosner Journal: JAMA Date: 1993-07-21 Impact factor: 56.272
Authors: Julie M Kapp; Rod Walker; Sebastien Haneuse; Diana S M Buist; Bonnie C Yankaskas Journal: Breast Cancer Res Treat Date: 2010-03-04 Impact factor: 4.872
Authors: Amanda I Phipps; Diana S M Buist; Kathleen E Malone; William E Barlow; Peggy L Porter; Karla Kerlikowske; Christopher I Li Journal: Breast Cancer Res Treat Date: 2010-09-03 Impact factor: 4.872
Authors: Traci N Bethea; Lynn Rosenberg; Nelsy Castro-Webb; Kathryn L Lunetta; Lara E Sucheston-Campbell; Edward A Ruiz-Narváez; Marjory Charlot; Song-Yi Park; Elisa V Bandera; Melissa A Troester; Christine B Ambrosone; Julie R Palmer Journal: Cancer Epidemiol Biomarkers Prev Date: 2015-12-31 Impact factor: 4.254
Authors: Betsy Risendal; Lisa M Hines; Carol Sweeney; Martha L Slattery; Anna R Giuliano; Kathy B Baumgartner; Karen Curtin; Tim E Byers Journal: Cancer Causes Control Date: 2008-09-26 Impact factor: 2.506
Authors: Nasim Mavaddat; Paul D Pharoah; Fiona Blows; Kristy E Driver; Elena Provenzano; Deborah Thompson; Robert J Macinnis; Mitul Shah; Douglas F Easton; Antonis C Antoniou Journal: Breast Cancer Res Date: 2010-02-10 Impact factor: 6.466
Authors: Nasim Mavaddat; Timothy R Rebbeck; Sunil R Lakhani; Douglas F Easton; Antonis C Antoniou Journal: Breast Cancer Res Date: 2010-05-18 Impact factor: 6.466
Authors: Marijana Lijovic; Susan R Davis; Pam Fradkin; Jo Bradbury; Maria La China; Max Schwarz; Rory Wolfe; Helen Farrugia; Robin J Bell Journal: Fam Cancer Date: 2009-02-17 Impact factor: 2.375