Aberrant epigenetic and transcriptional events associated with breast cancer risk

Clin Epigenetics. 2022 Feb 9;14(1):21. doi: 10.1186/s13148-022-01239-1.

Abstract

Background: Genome-wide association studies have identified several breast cancer susceptibility loci. However, biomarkers for risk assessment are still missing. Here, we investigated cancer-related molecular changes detected in tissues from women at high risk for breast cancer prior to disease manifestation. Disease-free breast tissue cores donated by healthy women (N = 146, median age = 39 years) were processed for both methylome (MethylCap) and transcriptome (Illumina's HiSeq4000) sequencing. Analysis of tissue microarray and primary breast epithelial cells was used to confirm gene expression dysregulation.

Results: Transcriptomic analysis identified 69 differentially expressed genes between women at high and those at average risk of breast cancer (Tyrer-Cuzick model) at FDR < 0.05 and fold change ≥ 2. Majority of the identified genes were involved in DNA damage checkpoint, cell cycle, and cell adhesion. Two genes, FAM83A and NEK2, were overexpressed in tissue sections (FDR < 0.01) and primary epithelial cells (p < 0.05) from high-risk breasts. Moreover, 1698 DNA methylation changes were identified in high-risk breast tissues (FDR < 0.05), partially overlapped with cancer-related signatures, and correlated with transcriptional changes (p < 0.05, r ≤ 0.5). Finally, among the participants, 35 women donated breast biopsies at two time points, and age-related molecular alterations enhanced in high-risk subjects were identified.

Conclusions: Normal breast tissue from women at high risk of breast cancer bears molecular aberrations that may contribute to breast cancer susceptibility. This study is the first molecular characterization of the true normal breast tissues, and provides an opportunity to investigate molecular markers of breast cancer risk, which may lead to new preventive approaches.

Keywords: Cancer risk; DNA methylation; Normal breast; Transcriptome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers, Tumor / analysis
  • Biomarkers, Tumor / genetics
  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / physiopathology
  • Cohort Studies
  • DNA Methylation / genetics
  • DNA Methylation / physiology
  • Epigenesis, Genetic / genetics*
  • Female
  • Genome-Wide Association Study / methods
  • Genome-Wide Association Study / statistics & numerical data
  • Humans
  • Middle Aged
  • Risk Assessment / methods*
  • Risk Assessment / statistics & numerical data
  • Transcriptional Activation / genetics*
  • Transcriptional Activation / physiology

Substances

  • Biomarkers, Tumor