Work

Bioinformatics analysis to investigate the genetic associations between diabetes and pancreatic cancer

Year: 2025

Type: article

Abstract: Aims Epidemiological studies indicate a heightened risk of pancreatic adenocarcinoma (PAAD) in patients with type 2 diabetes mellitus (T2DM). This study investigates the molecular mechanisms underlying their comorbidity.Materials and methods Common DEGs between T2DM and PAAD were identified from GEO datasets. Functional and pathway enrichment analyses were performed via PPI, GO, and KEGG. Core genes were screened and their diagnostic value was validated by ROC curves. Immune infiltration and TF–mRNA–miRNA regulatory networks were constructed to explore disease mechanisms. Core gene expression and prognostic significance in PAAD were assessed using GEPIA2 and HPA. Potential therapeutics targeting core genes were predicted via the Therapeutic Target Database.Results A total of 35 DEGs were identified. GO analysis linked these genes to cell adhesion and extracellular matrix (ECM) components. KEGG enrichment highlighted ECM-receptor interaction as the top pathway. Key ECM-related molecules—ITGA3, FN1, LAMB3, ITGA2, and LAMC2—were upregulated in both T2DM and PAAD. Six potential therapeutic agents targeting ITGA2, LAMB3, and FN1 were identified.Conclusion Three genes and associated known drugs identified in this study may serve as potential targets for treating the coexistence of the two diseases.

Source: The Aging Male

DOI: 10.1080/13685538.2025.2572524

Authors: Jian-bin Wei, Xiao-min Chen

Institutions: Fujian Medical University, The Second Affiliated Hospital of Xiamen Medical College, Xiamen University, Zhongshan Hospital of Xiamen University

Language: English

Topic: Pancreatic and Hepatic Oncology Research

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,557