ArticleFrontiers in immunology2026
Glycolysis and T cell-associated gene signature predicts prognosis and therapeutic responses in pancreatic cancer.
Article in Frontiers in immunology, 2026. 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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Abstract
Background: Pancreatic cancer (PC) is a fatal malignancy, with glycolysis and T cells playing crucial roles in its pathogenesis. This study explored prognosis-related genes in glycolysis and T cells in PC using bioinformatics methods. Methods: We first quantified distinct T-cell subsets via immune infiltration analysis of the TCGA-PAAD cohort and extracted T cell-related genes (T-RGs). Differentially expressed genes (DEGs) were obtained from GSE28735 and TCGA-PAAD. Intersecting these DEGs with T-RGs and glycolysis-related genes (G-RGs) yielded candidate genes. We screened prognostic genes using univariate Cox and LASSO regression, built a prognostic model in TCGA-PAAD and validated it in GSE57495. A nomogram was constructed for survival prediction, its reliability verified by calibration and ROC curves. We compared immune microenvironment, pathway enrichment, mutation landscape and drug sensitivity between high- and low-risk subgroups, and built lncRNA-miRNA-mRNA regulatory networks. Results: Conclusion:
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