Multi-omics insights into biomarkers of breast cancer associated diabetes: a computational approach
Tamizhini Loganathan, C. George Priya Doss

TL;DR
This study explores the molecular connections between breast cancer and diabetes, identifying shared pathways and potential therapeutic targets, especially in African American and European American populations.
Contribution
The study identifies the TNF pathway as a key link between breast cancer and diabetes, offering new therapeutic insights.
Findings
Differential expression analysis revealed 2,815 genes altered in breast cancer patients with diabetes.
Whole-exome sequencing identified 899 variants, with TNFRSF1B and PDPN as key deleterious genes.
The TNF pathway was found to connect chronic inflammation, insulin resistance, and tumor growth.
Abstract
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. 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. 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 transcriptomic data by stratifying BC patients with and without diabetes into two cohorts, identifying 3,245 DEGs in AA and 3,208 DEGs in EA, with 786 genes…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMetabolism, Diabetes, and Cancer · Bioinformatics and Genomic Networks · Pancreatic function and diabetes
