Multi-omics insights into biomarkers of breast cancer associated diabetes: a computational approach.

ABSTRACT:

Introduction

Breast cancer (BC) and diabetes are multifaceted diseases with interconnected molecular mechanisms that are not yet fully elucidated. These diseases share common risk factors, biological pathways, and treatment outcomes.

Methods

This study utilizes an integrative computational approach to investigate the interplay between BC and diabetes in African American (AA) and European American (EA) cohorts. It employs transcriptomic and exomic analyses to identify shared pathways and potential therapeutic targets.

Results

The pooled cohort of differential expression analysis identified 2,815 genes differentially expressed in BC patients with diabetes compared to those without diabetes, including 1824 upregulated and 990 downregulated genes. We reanalyzed transcript

SUBMITTER: Loganathan T 

PROVIDER: S-EPMC12179083 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature