A basal epithelial phenotype is more frequent in interval breast cancers compared with screen detected tumors

Cancer Epidemiol Biomarkers Prev. 2005 May;14(5):1108-12. doi: 10.1158/1055-9965.EPI-04-0394.

Abstract

Interval breast cancer reduce the effectiveness of mammography screening programs. We studied 95 interval cancers, diagnosed during 1996 to 2001 as part of the population-based Norwegian Breast Cancer Screening Program. These cases were matched on size (+/-2.0 mm) to 95 screen-detected breast cancers, and the tumors were compared by immunohistochemical methods using tissue microarrays. Patients with interval cancers were more likely to be younger [odds ratio (OR), 4.7; P = 0.0001], to have dense breasts (OR, 3.4; P = 0.004), and to have estrogen receptor-negative tumors (OR, 2.6, P = 0.01), and p53 expression was more frequent (OR, 4.0; P = 0.001). Notably, interval cancers were more likely to have a basal epithelial phenotype, in that expression of cytokeratin 5/6 (OR, 2.3; P = 0.04) and P-cadherin (OR, 2.5; P = 0.04) was more frequent in interval cases than in size-matched, screen-detected tumors. In a logistic regression model, p53 expression, age, and breast density were independent predictors of interval cancers. Our data suggest that breast cancers with a basal epithelial phenotype are more likely than nonbasal breast cancers to present between regular mammograms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Biomarkers, Tumor / analysis*
  • Biomarkers, Tumor / immunology
  • Breast / physiology
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / immunology
  • Cadherins
  • Carcinoma, Basal Cell / diagnostic imaging*
  • Carcinoma, Basal Cell / genetics
  • Carcinoma, Basal Cell / immunology
  • Case-Control Studies
  • Coloring Agents
  • Female
  • Genes, p53
  • Humans
  • Immunohistochemistry
  • Keratins
  • Logistic Models
  • Mammography*
  • Mass Screening / methods*
  • Middle Aged
  • Norway
  • Oligonucleotide Array Sequence Analysis
  • Phenotype
  • Receptors, Estrogen
  • Risk Factors

Substances

  • Biomarkers, Tumor
  • Cadherins
  • Coloring Agents
  • Receptors, Estrogen
  • Keratins