| Abstract: | To evaluate predictors of contralateral breast cancer risk, we examined data from a nested case-control study of second primary cancers among a cohort of women in western Washington (United States) diagnosed with breast cancer during 1978 through 1990 and identified through a population-based cancer registry. Cases included all women in the cohort who subsequently developed contralateral breast cancer at least six months after the initial diagnosis, but prior to 1992 (n=234). Controls were sampled randomly from the cohort, matched to cases on age, stage, and year of initial breast cancer diagnosis. Information on potential risk factors for second primary cancer was obtained through medical record abstractions and physician questionnaires. Women who were postmenopausal due to a bilateral oophorectomy (i.e., a surgical menopause) at initial breast cancer diagnosis had a reduction in contralateral breast cancer risk compared with premenopausal women (matched odds ratio mOR]=0.25, 95 percent confidence interval CI]=0.09–0.68), whereas no reduction in risk was noted among postmenopausal women who had had a natural menopause (mOR=0.90, CI=0.39–2.09). Among postmenopausal women, there was a suggestion of a lower risk associated with relatively high parity (2+). A family history of breast cancer was associated with an increased risk (mOR=1.96, CI=1.22–5.15) and varied little by menopausal status. Having an initial tumor with a lobular component (c.f. a ductal histology) was not related strongly to risk (mOR=1.47, CI=0.79–2.74). The results of the present and earlier studies argue that we have limited ability to predict the occurrence of a contralateral breast tumor. Better predictors will be required before diagnostic and preventive interventions can be targeted to subgroups of patients with unilateral breast cancer.Authors are with the Department of Epidemiology, University of Washington, Seattle, WA, USA (Drs Cook, White, Schwartz, Daling, Weiss); with the Fred Hutchinson Cancer Research Center, Seattle, WA (Drs Cook, White, Schwartz, McKnight, Daling, Weiss); and the Department of Biostatistics, University of Washington, Seattle, WA (Dr McKnight). Address correspondence to Dr Cook, MP-381, Fred Hutchinson Cancer Research Center, 1124 Columbia Street, Seattle, WA 98104, USA. This research was supported in part by grants from the US National Cancer Institute (R35 CA 39779), the Agency for Health Care Policy and Research (1 RO3 HS08004-01), and by the Cancer Surveillance System of the Fred Hutchinson Cancer Research Center, which is funded by Contract No. N01-CN-05230 from the Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute with additional support from the Fred Hutchinson Cancer Research Center. |
