Evidence mapPaperPMID 40547917Full record

ArticleFrontiers in medicine2025

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

Tamizhini Loganathan, C George Priya Doss

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Tamizhini LoganathanLaboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
C George Priya DossLaboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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 commonly altered between both groups. Whole-exome sequencing (WES) of 23 BC patients with diabetes revealed 899 variants across 208 unique genes, predominantly missense mutations. Among these, nine key genes were prioritized, with Conclusion: This study provides critical molecular insights into the shared mechanisms of BC and diabetes, identifying the TNF pathway as a key therapeutic target to improve outcomes for patients with these interconnected conditions.

Indexed as

bioinformaticsbreast cancerdiabetesexome analysis and TNF pathwaytranscriptomics

Identifiers

PMID40547917
PMCPMC12179083

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.