Racial disparity in the association of p53 gene alterations with breast cancer survival

Cancer Res. 1995 Apr 1;55(7):1485-90.

Abstract

A significant black/white difference in breast cancer prognosis has been observed in the United States. Alterations of p53 tumor suppressor gene in breast cancer have been associated with poor prognosis. This study was designed to test the hypothesis that p53 gene alterations are related to the difference in prognosis between black and white breast cancer patients. Formalin-fixed paraffin-embedded breast tissue blocks were available from 45 black and 47 white patients for PCR-single strand conformation polymorphism analysis and DNA sequencing. The types of p53 gene alterations were compared between blacks and whites. Associations between p53 gene alterations and survival were also evaluated. Three missense, 2 nonsense, 1 microdeletion, 1 intron, and 4 silent mutations were detected in blacks, while 7 missense, 1 microdeletion, 1 silent mutation, and 3 polymorphisms were observed in whites. Among the point mutations, G:C to A:T transitions at non-CpG sites were found in 80.0% of blacks (8 of 10) and 62.5% of whites (5 of 8). Significantly poorer survival associated with p53 gene alterations was observed for blacks (P = 0.012), but not for whites. Black patients with p53 alterations had a significant 4-5-fold excess risk of death from breast cancer than those without p53 alterations. Adjustment for stage, age, tumor histopathology, receptor status, and adjuvant treatment did not change the excess risk. The findings suggest that the types of p53 gene alterations may contribute to the racial difference in breast cancer survival.

Publication types

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

MeSH terms

  • Adult
  • Aged
  • Black People*
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / mortality*
  • Female
  • Genes, p53 / genetics*
  • Humans
  • Middle Aged
  • Point Mutation / genetics*
  • Polymerase Chain Reaction
  • Prognosis
  • Sequence Analysis, DNA
  • Survival Analysis
  • White People*