Evidence mapPaperPMID 40282196Full record

ArticleBiology2025

Shared Genomic Features Between Lung Adenocarcinoma and Type 2 Diabetes: A Bioinformatics Study.

Nuerbiye Nueraihemaiti, Dilihuma Dilimulati, Alhar Baishan, Sendaer Hailati, Nulibiya Maihemuti, Alifeiye Aikebaier, Yipaerguli Paerhati, Wenting Zhou

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Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Nuerbiye NueraihemaitiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Dilihuma DilimulatiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.ORCID 0009-0004-9690-4350
Alhar BaishanDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Sendaer HailatiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Nulibiya MaihemutiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Alifeiye AikebaierDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Yipaerguli PaerhatiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Wenting ZhouDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.ORCID 0000-0003-2610-7634

Funding

Engineering Research Center of Xinjiang and Central Asian Medicine Resources 2023"Fourteenth Five-Year Plan" Key Discipline Construction Project of Xinjiang Autonomous Region 2021National Natural Science Foundation of China 81660696Tianshan Talents-Youth Science and Technology Innovation Talents Training Program of Xinjiang Autonomous Region 2022TSYCCX0035Xinjiang Key Laboratory of Biopharmaceuticals and Medical Devices 2023Xinjiang Key Laboratory of Natural Medicines Active Components and Drug Release Technology XJDX1713
6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is a common histopathological variant of non-small cell lung cancer. Individuals with type 2 diabetes (T2DM) face an elevated risk of developing LUAD. We examined the common genomic characteristics between LUAD and T2DM through bioinformatics analysis.

methodsWe acquired the GSE40791, GSE25724, GSE10072, and GSE71416 datasets. Differentially expressed genes (DEGs) were identified through R software, particularly its version 4.1.3 and analyzed via gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Subsequently, we analyzed the relationship between immune cell infiltration and DEGs. we constructed a protein-protein interaction network using STRING and visualized it with Cytoscape. Moreover, gene modules were identified utilizing the MCODE plugin, and hub genes were selected through the CytoHubba plugin. Additionally, we evaluated the predictive significance of hub genes using receiver operating characteristic curves and identified the final central hub genes. Finally, we forecasted the regulatory networks of miRNA and transcription factors for the central hub genes.

resultsA total of 748 DEGs were identified. Analysis of immune infiltration showed a notable accumulation of effector-memory CD8 T cells, T follicular helper cells, type 1 T helper cells, activated B cells, natural killer cells, macrophages, and neutrophils in both LUAD and T2DM. Moreover, these DEGs were predominantly enriched in immune-related pathways, including the positive regulation of I-κB kinase/NF-κB signaling, positive regulation of immunoglobulin production, cellular response to interleukin-7, and cellular response to interleukin-4. The TGF-β signaling pathway was significantly important among them. Additionally, seven hub genes were identified, including

conclusionsOur study elucidates the common mechanisms of immune response, TGF-β signaling pathway, and natural killer cells in LUAD and T2DM, and identifies

Indexed as

bioinformaticsgenomic featureslung adenocarcinoma (LUAD)type 2 diabetes (T2DM)

Identifiers

PMID40282196
PMCPMC12025072

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