Journal of Cancer · 2026
Epidemiological Trends and Shared Molecular Signatures of Pancreatic Ductal Adenocarcinoma and Diabetes: An Integrative Analysis Based on Global Burden of Disease and Gene Expression Omnibus Datasets.
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Zhang Jiaxi, Liu Zhibin, Huang Ke, Yi Junkoo, Kim Myoung Ok
Аннотация
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies worldwide, and diabetes mellitus has been recognized as both a risk factor for and a potential consequence of PDAC. However, the epidemiological trends and shared molecular mechanisms underlying this association are not completely understood.
METHODS: We conducted an integrative analysis combining population-level epidemiological data and transcriptomic datasets. Global trends in PDAC incidence, PDAC-related mortality, and diabetes incidence from 2013 to 2023 were obtained from the Global Burden of Disease (GBD) database. A meta-analysis was performed to quantify the association between diabetes and PDAC risk. In addition, gene expression datasets focusing on PDAC (GSE15471) and type 2 diabetes mellitus (T2DM; GSE20966) were obtained from the Gene Expression Omnibus database, differentially expressed genes were identified, and upregulated genes associated with both PDAC and T2DM were examined using heatmaps.
RESULTS: Continuous increases in global PDAC incidence, mortality due to PDAC, and the incidence of diabetes were identified in the GBD data. The meta-analysis of eight studies demonstrated that diabetes was significantly associated with an increased risk of PDAC (pooled relative risk = 1.94, 95% CI: 1.78-2.11). Transcriptomic analyses identified five genes-FXYD3, LAMC1, MDFIC, SOCS3, and TREM2-that were consistently upregulated in both PDAC and T2DM-affected tissues.
CONCLUSION: This integrative epidemiological and transcriptomic analysis demonstrates that diabetes and PDAC share not only similar global disease trends but also a significant epidemiological association and common molecular alterations. The identified shared genes may represent molecular links between diabetes and PDAC, providing new insights applicable to risk stratification and mechanistic studies.
METHODS: We conducted an integrative analysis combining population-level epidemiological data and transcriptomic datasets. Global trends in PDAC incidence, PDAC-related mortality, and diabetes incidence from 2013 to 2023 were obtained from the Global Burden of Disease (GBD) database. A meta-analysis was performed to quantify the association between diabetes and PDAC risk. In addition, gene expression datasets focusing on PDAC (GSE15471) and type 2 diabetes mellitus (T2DM; GSE20966) were obtained from the Gene Expression Omnibus database, differentially expressed genes were identified, and upregulated genes associated with both PDAC and T2DM were examined using heatmaps.
RESULTS: Continuous increases in global PDAC incidence, mortality due to PDAC, and the incidence of diabetes were identified in the GBD data. The meta-analysis of eight studies demonstrated that diabetes was significantly associated with an increased risk of PDAC (pooled relative risk = 1.94, 95% CI: 1.78-2.11). Transcriptomic analyses identified five genes-FXYD3, LAMC1, MDFIC, SOCS3, and TREM2-that were consistently upregulated in both PDAC and T2DM-affected tissues.
CONCLUSION: This integrative epidemiological and transcriptomic analysis demonstrates that diabetes and PDAC share not only similar global disease trends but also a significant epidemiological association and common molecular alterations. The identified shared genes may represent molecular links between diabetes and PDAC, providing new insights applicable to risk stratification and mechanistic studies.