A hypoxia–lactate metabolism-related gene signature for prognostic stratification in pancreatic adenocarcinoma

Pancreatic cancer (PC) is marked by a unique tumor microenvironment driven by chronic hypoxia and dysregulated lactate metabolism, but the combined prognostic utility of these factors remains unclear. Via integrated transcriptomic analysis of the TCGA-PAAD and GSE183795 datasets, we identified a six-gene signature ( FHL2 , ITGA3 , KCNJ3 , KLF5 , MSLN , and S100A16 ) using weighted gene co-expression network, least absolute shrinkage and selection operator, and Cox regression analyses. This signature effectively stratified patients into high- and low-risk groups with significantly different overall survival ( p < 0.0001). High-risk tumors exhibited an immunosuppressive microenvironment, an increased abundance of M0 macrophages, an elevated tumor mutational burden, and hypothesis-generating evidence of greater sensitivity to Hsp90 inhibitors. Mechanistic exploration suggested a hypothetical lncRNA–miRNA regulatory axis that warrants further experimental verification. This hypoxia–lactate metabolism-related signature offers a robust tool for prognostic stratification and generates therapeutic hypotheses that merit further preclinical and clinical investigation.

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Publication Details

Journal
Discover Oncology
Published
2026-09-05
DOI
https://doi.org/10.1007/s12672-026-05867-4
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

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article

A hypoxia–lactate metabolism-related gene signature for prognostic stratification in pancreatic adenocarcinoma

Yu Pan, Feihong Liang, Zelin Hou, Jiajing Lin et al.
Discover Oncology
Cancer, Hypoxia, and Metabolism
article

A hypoxia–lactate metabolism-related gene signature for prognostic stratification in pancreatic adenocarcinoma

Yu Pan, Feihong Liang, Zelin Hou, Jiajing Lin, Fan Zhang
article en

Abstract

Pancreatic cancer (PC) is marked by a unique tumor microenvironment driven by chronic hypoxia and dysregulated lactate metabolism, but the combined prognostic utility of these factors remains unclear. Via integrated transcriptomic analysis of the TCGA-PAAD and GSE183795 datasets, we identified a six-gene signature ( FHL2 , ITGA3 , KCNJ3 , KLF5 , MSLN , and S100A16 ) using weighted gene co-expression network, least absolute shrinkage and selection operator, and Cox regression analyses. This signature effectively stratified patients into high- and low-risk groups with significantly different overall survival ( p < 0.0001). High-risk tumors exhibited an immunosuppressive microenvironment, an increased abundance of M0 macrophages, an elevated tumor mutational burden, and hypothesis-generating evidence of greater sensitivity to Hsp90 inhibitors. Mechanistic exploration suggested a hypothetical lncRNA–miRNA regulatory axis that warrants further experimental verification. This hypoxia–lactate metabolism-related signature offers a robust tool for prognostic stratification and generates therapeutic hypotheses that merit further preclinical and clinical investigation.

Discover Oncology
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN), Union Hospital (CN), Fuzhou University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 14%
Cancer, Hypoxia, and Metabolism
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A hypoxia–lactate metabolism-related gene signature for prognostic stratification in pancreatic adenocarcinoma — Yu Pan, Feihong Liang, et al. · Discover Oncology (2026) | TGRS Research Map | TGRS