Diabetes and other comorbidities in breast cancer survival by race/ethnicity: the California Breast Cancer Survivorship Consortium (CBCSC)

Cancer Epidemiol Biomarkers Prev. 2015 Feb;24(2):361-8. doi: 10.1158/1055-9965.EPI-14-1140. Epub 2014 Nov 25.

Abstract

Background: The role of comorbidities in survival of patients with breast cancer has not been well studied, particularly in non-white populations.

Methods: We investigated the association of specific comorbidities with mortality in a multiethnic cohort of 8,952 breast cancer cases within the California Breast Cancer Survivorship Consortium (CBCSC), which pooled questionnaire and cancer registry data from five California-based studies. In total, 2,187 deaths (1,122 from breast cancer) were observed through December 31, 2010. Using multivariable Cox proportional hazards regression, we estimated HRs and 95% confidence intervals (CI) for overall and breast cancer-specific mortality associated with previous cancer, diabetes, high blood pressure (HBP), and myocardial infarction.

Results: Risk of breast cancer-specific mortality increased among breast cancer cases with a history of diabetes (HR, 1.48; 95% CI, 1.18-1.87) or myocardial infarction (HR, 1.94; 95% CI, 1.27-2.97). Risk patterns were similar across race/ethnicity (non-Latina white, Latina, African American, and Asian American), body size, menopausal status, and stage at diagnosis. In subgroup analyses, risk of breast cancer-specific mortality was significantly elevated among cases with diabetes who received neither radiotherapy nor chemotherapy (HR, 2.11; 95% CI, 1.32-3.36); no increased risk was observed among those who received both treatments (HR, 1.13; 95% CI, 0.70-1.84; P(interaction) = 0.03). A similar pattern was found for myocardial infarction by radiotherapy and chemotherapy (P(interaction) = 0.09).

Conclusion: These results may inform future treatment guidelines for patients with breast cancer with a history of diabetes or myocardial infarction.

Impact: Given the growing number of breast cancer survivors worldwide, we need to better understand how comorbidities may adversely affect treatment decisions and ultimately outcome.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms / ethnology*
  • Breast Neoplasms / mortality*
  • California / epidemiology
  • Cohort Studies
  • Comorbidity
  • Diabetes Mellitus / ethnology*
  • Diabetes Mellitus / mortality*
  • Ethnicity / statistics & numerical data*
  • Female
  • Humans
  • Middle Aged
  • Proportional Hazards Models
  • Survival Rate