Postdiagnosis social networks and breast cancer mortality in the After Breast Cancer Pooling Project

Cancer. 2017 Apr 1;123(7):1228-1237. doi: 10.1002/cncr.30440. Epub 2016 Dec 12.

Abstract

Background: Large social networks have been associated with better overall survival, though not consistently with breast cancer (BC)-specific outcomes. This study evaluated associations of postdiagnosis social networks and BC outcomes in a large cohort.

Methods: Women from the After Breast Cancer Pooling Project (n = 9267) provided data on social networks within approximately 2 years of their diagnosis. A social network index was derived from information about the presence of a spouse/partner, religious ties, community ties, friendship ties, and numbers of living first-degree relatives. Cox models were used to evaluate associations, and a meta-analysis was used to determine whether effect estimates differed by cohort. Stratification by demographic, social, tumor, and treatment factors was performed.

Results: There were 1448 recurrences and 1521 deaths (990 due to BC). Associations were similar in 3 of 4 cohorts. After covariate adjustments, socially isolated women (small networks) had higher risks of recurrence (hazard ratio [HR], 1.43; 95% confidence interval [CI], 1.15-1.77), BC-specific mortality (HR, 1.64; 95% CI, 1.33-2.03), and total mortality (HR, 1.69; 95% CI, 1.43-1.99) than socially integrated women; associations were stronger in those with stage I/II cancer. In the fourth cohort, there were no significant associations with BC-specific outcomes. A lack of a spouse/partner (P = .02) and community ties (P = .04) predicted higher BC-specific mortality in older white women but not in other women. However, a lack of relatives (P = .02) and friendship ties (P = .01) predicted higher BC-specific mortality in nonwhite women only.

Conclusions: In a large pooled cohort, larger social networks were associated with better BC-specific and overall survival. Clinicians should assess social network information as a marker of prognosis because critical supports may differ with sociodemographic factors. Cancer 2017;123:1228-1237. © 2016 American Cancer Society.

Keywords: breast cancer; mortality; social networks; social support; survival.

Publication types

  • Multicenter Study

MeSH terms

  • Biomarkers, Tumor
  • Breast Neoplasms / diagnosis
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / mortality
  • Breast Neoplasms / therapy
  • Cohort Studies
  • Female
  • Follow-Up Studies
  • Humans
  • Mortality
  • Neoplasm Staging
  • Patient Outcome Assessment
  • Population Surveillance
  • Prognosis
  • Proportional Hazards Models
  • Risk Factors
  • Social Support*
  • Socioeconomic Factors

Substances

  • Biomarkers, Tumor