bioRxivCancer Biology
Aberrant epigenetic and transcriptional events associated with breast cancer risk
N. Marino, R. German, R. Podicheti, D. B. Rusch, P. Rockey, J. Huang, G. E. Sandusky, C. J. Temm, S. K. Althouse, K. P. Nephew, H. Nakshatri, J. Liu, A. Vode, S. Cao, A. M. Storniolo
Abstract
BackgroundGenome-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 (Illuminas HiSeq4000) sequencing. Analysis of tissue microarray and primary breast epithelial cells was used to confirm gene expression dysregulation. ResultsTranscriptomic analysis identified 69 differentially expressed genes between women at either high and those at average risk of breast cancer (Tyrer-Cuzick model) at FDR<0.05 and fold change[≥]2. The 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 aberrations 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. ConclusionsNormal 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.
- organism: human
- assay: DNA methylation
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Prediagnostic breast milk DNA methylation alterations in women who develop breast cancer
Lucas A. Salas, Sara Lundgren, … Brock C. Christensen·Human Molecular GeneticsPeer-reviewed·Dec 6, 2019
- DNA methylation patterns in breast cancer, paired benign tissue from ipsilateral and contralateral breast, and healthy controls.
Saya Dennis, Takahiro Tsukioki, … Susan E. Clare·Breast Cancer ResearchPeer-reviewed·Jun 11, 2025
- Integrating genome and epigenome data to identify tissue-specific DNA methylation biomarkers for cancer risk
Yaohua Yang, Yaxin Chen, … Jirong Long·medRxiv·Aug 9, 2023
- Somatic Genetic Aberrations in Benign Breast Disease and the Risk of Subsequent Breast Cancer
Zexian Zeng, Andy H. Vo, … Susan E. Clare·npj Breast CancerPeer-reviewed·Jun 12, 2020
- Unveiling epigenetic regulatory elements associated with breast cancer development
Marta Jardanowska, Michał Dramiński, … Michał J. Dąbrowski·International Journal of Molecular SciencesPeer-reviewed·Jul 8, 2025
- Mapping lineage and functional diversity in the high-risk human mammary epithelium
Matthew Waas, Bowen Zhang, … Thomas Kislinger·bioRxiv·Jan 13, 2026