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cancer, breast, article, google, scholar, pubmed, cas, risk, women, factors, subtypes, study, usa, press, epidemiol, data, research, molecular, populationbased, receptor, luminal, res, triple, negative, sherman, biomarkers, department, epidemiology, estrogen, prev, university, tumors, body, access, natl, hormonal, doiepi, privacy, cookies, content, search, bernstein, age, perou, studies, garciaclosas, brinton, triplenegative, california, inst,

Topics {✒️}

month download article/chapter bueno-de-mesquita hb called triple-negative phenotype triple-negative breast cancer population-based cohort study body mass index related subjects full article pdf demonstrating estrogen receptor privacy choices/manage cookies gene expression patterns yang xr assessing her2 amplification existing basic research gene expression analyses risk factors differ brca mutation frequency population-based study endogenous estrogen concentrations triple negative paradox triple negative threats breast cancer risk breast cancer subtypes risk factor associations age distribution patterns familial relative risks breast cancer patients breast cancer survivors breast cancer specimens anderson wf applied medical sciences hormonal risk factors molecularly characterized cohort breast feeding duration human breast tumours prevention research american cancer society van de rijn primary tumor chemosensitivity van de vijver european economic area millikan rc archival tissue samples percent mammographic density long-term preservation mammary gland involution van gils ch european prospective investigation germline brca1 mutations tumor molecular subtype

Questions {❓}

• Ma H, Luo J, Press MF, Wang Y, Bernstein L, Ursin G (2009) Is there a difference in the association between percent mammographic density and subtypes of breast cancer?

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         description:Differences in incidence, prognosis, and treatment response suggest gene expression patterns may discern breast cancer subtypes with unique risk factor profiles; however, previous results were based predominantly on older women. In this study, we examined similar relationships in women ≤56 years, classified by immunohistochemical staining for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 for 890 breast cancer cases and 3,432 frequency-matched population-based controls. Odds ratios (OR) and 95% confidence intervals (CI) for tumor subtypes were calculated using multivariate polytomous regression models. A total of 455 (51.1%) tumors were considered luminal A, 72 (8.1%) luminal B, 117 (13.1%) non-luminal HER-2/neu+, and 246 (27.6%) triple negative. Triple negative tumors were associated with breast feeding duration (per 6 months: OR = 0.76, 95% CI 0.64–0.90). Among premenopausal women, increasing body size was more strongly associated with luminal B (OR = 1.73, 95% CI 1.07–2.77) and triple negative tumors (OR = 1.67, 95% CI 1.22–2.28). A history of benign breast disease was associated only with increased risk of luminal A tumors (OR = 1.89, 95% CI 1.43–2.50). A family history of breast cancer was a risk factor for luminal A tumors (OR = 1.93, 95% CI 1.38–2.70) regardless of age, and triple negative tumors with higher risks for women <45 (OR = 5.02, 95% CI 2.82–8.92; P for age interaction = 0.005). We found that little-to-no breastfeeding and high BMI were associated with increased risk of triple negative breast cancer. That some risk factors differ by molecular subtypes suggests etiologic heterogeneity in breast carcinogenesis among young women.
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