Prevalance of Prognostic Biomarkers in Archival Specimens and Breast Cancer Survival Among White, Black, and Asian Women.

Abstract

We assessed distributions of breast cancer tumor characteristics and molecular prognostic biomarkers by race/ethnicity and socioeconomic position among paraffin-embedded tumor biopsy specimens from 135 US women (48 white women, 44 black women, 43 Asian women) diagnosed with breast cancer between 1966 and 1990. No racial/ethnic or socioeconomic differences in distribution were observed for tumor stage, lymph node involvement, estrogen, progesterone, and epidermal growth factor receptors, oncogenes Her2/neu and p53, cytoplasmic proteins cathepsin-D and ps2, and two indices of cell growth, Ki67 and DNA ploidy, adjusting for age at diagnosis, menopausal status, place of and, for racial/ethnic comparisons, working class composition of census block-group a diagnosis. Black and Asian women, however, were 3.5 times (95% confidence interval CI = 1.2, 10.1) and 3.7 times (95% CI = 1.3, 10.6) more likely than white women to have a tumor size of 20 mm or larger, and Asian women were 3.4 times (95% CI = 1.1, 10.4) more likely than black women to be positive for androgen receptor, adjusting for these same factors. No differences in distributions by socioeconomic position were observed for these latter two tumor characteristics. These data suggest that racial/ethnic and socioeconomic disparities in breast cancer survival are unlikely to be explained by differential distributions of prognostic biomarkers.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1996
Accession Number
ADB218872

Entities

People

  • Nancy Krieger

Organizations

  • Kaiser Foundation Research Institute

Tags

DTIC Thesaurus Topics

  • Androgen Receptors
  • Androgens
  • Biological Factors
  • Biomedical Research
  • Breast Cancer
  • Census
  • Chemistry
  • Ethnic Groups
  • Growth Factors
  • Health
  • Health Care
  • Health Services
  • Lymph Nodes
  • Medical Personnel
  • Neoplasms
  • Proteins
  • Public Health

Readers

  • Gender and Food Studies
  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.