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Combined effect of volumetric breast density and body mass index on breast cancer risk.
Engmann, Natalie J; Scott, Christopher G; Jensen, Matthew R; Winham, Stacey; Miglioretti, Diana L; Ma, Lin; Brandt, Kathleen; Mahmoudzadeh, Amir; Whaley, Dana H; Hruska, Carrie; Wu, Fang; Norman, Aaron D; Hiatt, Robert A; Heine, John; Shepherd, John; Pankratz, V Shane; Vachon, Celine M; Kerlikowske, Karla.
Afiliação
  • Engmann NJ; Genentech, South San Francisco, USA.
  • Scott CG; Mayo Clinic, Rochester, USA.
  • Jensen MR; Mayo Clinic, Rochester, USA.
  • Winham S; Mayo Clinic, Rochester, USA.
  • Miglioretti DL; University of California, Davis, USA.
  • Ma L; Kaiser Permanente Washington Health Research Institute, Seattle, USA.
  • Brandt K; Kaiser Permanente Division of Research, Oakland, CA, USA.
  • Mahmoudzadeh A; Mayo Clinic, Rochester, USA.
  • Whaley DH; Accenture, San Francisco, USA.
  • Hruska C; Mayo Clinic, Rochester, USA.
  • Wu F; Mayo Clinic, Rochester, USA.
  • Norman AD; Mayo Clinic, Rochester, USA.
  • Hiatt RA; Mayo Clinic, Rochester, USA.
  • Heine J; Department of Medicine and Epidemiology & Biostatistics, University of California, San Francisco, USA.
  • Shepherd J; Moffitt Cancer Center, Tampa, USA.
  • Pankratz VS; University of Hawaii, Hawaii, USA.
  • Vachon CM; University of New Mexico Health Sciences Center, Albuquerque, USA.
  • Kerlikowske K; Mayo Clinic, Rochester, USA.
Breast Cancer Res Treat ; 177(1): 165-173, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31129803
BACKGROUND: Breast density and body mass index (BMI) are used for breast cancer risk stratification. We evaluate whether the positive association between volumetric breast density and breast cancer risk is strengthened with increasing BMI. METHODS: The San Francisco Mammography Registry and Mayo Clinic Rochester identified 781 premenopausal and 1850 postmenopausal women with breast cancer diagnosed between 2007 and 2015 that had a screening digital mammogram at least 6 months prior to diagnosis. Up to three controls (N = 3535) were matched per case on age, race, date, mammography machine, and state. Volumetric percent density (VPD) and dense volume (DV) were measured with Volpara™. Breast cancer risk was assessed with logistic regression stratified by menopause status. Multiplicative interaction tests assessed whether the association of density measures was differential by BMI categories. RESULTS: The increased risk of breast cancer associated with VPD was strengthened with higher BMI for both premenopausal (pinteraction = 0.01) and postmenopausal (pinteraction = 0.0003) women. For BMI < 25, 25-30, and ≥ 30 kg/m2, ORs for breast cancer for a 1 SD increase in VPD were 1.24, 1.65, and 1.97 for premenopausal, and 1.20, 1.55, and 2.25 for postmenopausal women, respectively. ORs for breast cancer for a 1 SD increase in DV were 1.39, 1.33, and 1.51 for premenopausal (pinteraction = 0.58), and 1.31, 1.34, and 1.65 (pinteraction = 0.03) for postmenopausal women for BMI < 25, 25-30 and ≥ 30 kg/m2, respectively. CONCLUSIONS: The effect of volumetric percent density on breast cancer risk is strongest in overweight and obese women. These associations have clinical relevance for informing prevention strategies.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Índice de Massa Corporal / Densidade da Mama Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Índice de Massa Corporal / Densidade da Mama Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos