Integration of chromosome conformation and gene expression networks reveals regulatory mechanisms in triple negative breast cancer.

ABSTRACT:

Introduction

Triple-negative breast cancer (TNBC) accounts for twelve percent of all breast cancer cases, with a survival rate around ten percent lower than ER+/PR+ positive breast cancers. There are limited therapeutic options as these tumors do not respond to hormonal therapy or HER2-targeted treatments. We hypothesized that new insights into pathogenic mechanisms in TNBC can be obtained from studying epigenetic alterations through Hi-C (genome-wide chromosome conformation capture) data analysis.

Methods

We developed a computational strategy that captured key properties of chromatin conformation while incorporating statistical measures of interaction significance. This model addresses limitations in Hi-C data analysis without relying on predefined features like TADs and co

SUBMITTER: Reyes-Gopar H 

PROVIDER: S-EPMC12271745 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature