Intracystic epidermal growth factor level is predictive of breast-cancer risk in women with gross cystic disease of the breast

Int J Cancer. 2001 Jul 20;95(4):260-5. doi: 10.1002/1097-0215(20010720)95:4<260::aid-ijc1044>3.0.co;2-n.

Abstract

Women affected by gross cystic disease of the breast have an increased risk of breast cancer. We report here the incidence of breast cancer by cyst type and intracystic epidermal growth factor (EGF) concentration. Our retrospective study included 504 women who had at least 1 cyst aspiration between 1985 and 1993. Cyst fluids were processed for electrolyte concentration (n = 378), EGF concentration (n = 347) or both (n = 337). Age-standardized incidence ratios (SIRs) were estimated using the population of the Genoa Cancer Registry. A multivariate Poisson regression model was used to estimate relative risks (RRs) when the study groups were compared directly. By June 1999, 19 invasive breast cancers had developed in the cohort of women. The age SIR of breast cancer calculated for the whole cohort was 3.32 (95% confidence interval 2.00-5.18). The ratio was not affected by age and was only moderately increased in women with a positive family history of breast cancer and type I cysts (i.e., those with a Na+/K+ ratio <3). However, it was significantly increased in women with high EGF concentrations. Direct comparisons confirmed that age, cyst type and family history only moderately increased the RR, whereas EGF concentration was a strong predictor of risk. Our results confirm that women affected by palpable cysts have an increased risk of developing breast cancer and suggest that the risk is higher in women with high intracystic EGF concentrations.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Biomarkers
  • Breast Neoplasms / epidemiology*
  • Epidermal Growth Factor / metabolism*
  • Exudates and Transudates / metabolism
  • Female
  • Fibrocystic Breast Disease / metabolism*
  • Fibrocystic Breast Disease / pathology
  • Humans
  • Incidence
  • Middle Aged
  • Multivariate Analysis
  • ROC Curve
  • Regression Analysis
  • Retrospective Studies
  • Risk
  • Sensitivity and Specificity

Substances

  • Biomarkers
  • Epidermal Growth Factor