Background. Improvements in screening techniques have made significant contributions to the early detection of breast cancer. Physicians thus face the task of providing appropriate screening schedules for their patients. One group for whom this is particularly important are those women with a family history of breast cancer. Methods. In this report, data from the Cancer and Steroid Hormone Study, a population‐based, case‐control study conducted by the Centers for Disease Control, are used to provide age‐specific risk estimates of breast cancer for women with a family history of breast cancer. The data set includes 4730 patients with histologically confirmed breast cancer age 20–54 years and 4688 control subjects who were frequency matched to patients by geographic region and 5‐year age intervals. The data set also includes family histories of breast cancer in mothers and sisters of both patients and control subjects. Results. Genetic models fit previously to these data by the authors have provided evidence for a rare autosomal dominant allele that results in increased susceptibility to breast cancer. In addition, these models predict that women who carry the allele are at greater risk of developing breast cancer at any age than are women who do not carry the allele. The increase in risk in carriers versus noncarriers does, however, decrease with increasing age. Based on the parameters of this model, age‐specific risks for a woman with one or more relatives affected with breast cancer at various ages at onset are given. Conclusions. These tables can be used for the purpose of counseling women at high risk of breast cancer development, that is, women with a family history of breast cancer.
The estimates provided may prove helpful to clinicians until such time as large-scale population-based screening for breast and ovarian cancer susceptibility genes is possible.
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 pre-menopausal 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.
CB = contralateral breast; CM = counter-matched; DSBs = double-strand breaks; NCC = nested case control; PN = predictive negative; PP = predictive positive; RR = relative risk; RRT = registry radiation treatment indicator; RT = radiation therapy; WECARE = Women's Environmental Cancer and Radiation Epidemiology. AbstractIntroduction: Deficiencies in cellular responses to DNA damage can predispose to cancer. Ionizing radiation can cause cluster damage and double-strand breaks (DSBs) that pose problems for cellular repair processes. Three genes (ATM, BRCA1, and BRCA2) encode products that are essential for the normal cellular response to DSBs, but predispose to breast cancer when mutated.
Cases included in a population-based case-control study of breast cancer in men were recruited from 10 geographic areas of the United States from 1983 to 1986. Controls, matched to cases on age and geographic area, were selected by random digit dialing for men under age 65 years and from Health Care Financing Administration files for older men. Results are based on responses from 227 cases and 300 controls to questions asked in a standardized personal interview. An increased risk of breast cancer was most strongly associated with undescended testes and was also related to orchiectomy, orchitis, testicular injury, late puberty, and infertility; and a decreasing trend in risk was observed with an increasing number of children. Relative risk estimates were also elevated in relation to a history of high blood cholesterol, rapid weight gain, benign breast conditions, and possibly obesity. These findings suggest that breast cancer in men develops in response to androgen deficiency associated with testicular dysfunction and under conditions associated with excess estrogen. Risk was also found to be elevated in men with a history of amphetamine use, diabetes, and cigar smoking and reduced in men with prior head trauma.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.