Lu L, Tao R. Prognostic implications of glucose metabolism pathways in colon adenocarcinoma: a comprehensive outlook on the molecular landscape and immunotherapy.
Biochem Biophys Res Commun 2025;
768:151961. [PMID:
40345006 DOI:
10.1016/j.bbrc.2025.151961]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2025] [Revised: 03/30/2025] [Accepted: 05/05/2025] [Indexed: 05/11/2025]
Abstract
BACKGROUND
Colon adenocarcinoma (COAD) is a common and aggressive cancer characterized by significant metabolic alterations, particularly in glucose metabolism. Identifying key genes and pathways involved in glucose metabolism could provide valuable prognostic biomarkers and therapeutic targets.
METHODS
Clinical and transcriptomic data for patients with COAD were obtained from TCGA and validated using external datasets (GSE17536 and GSE39582). Seventeen glucose metabolism-related pathways were selected from the MSigDB and analysed using ssGSEA. WGCNA was used to identify key gene modules. Prognostic genes were selected via univariate Cox regression, Lasso-Cox regression, and multivariate Cox regression. Model validation was conducted using independent datasets. Immunotherapy prediction and immune infiltration analyses were also performed. A-NEK9 knockdown cell line was established using SW1116 and SW480 cell lines. The effect of NEK9 on COAD was evaluated in vivo and in vitro. The effects of NEK9 on glucose uptake and lactate production were also assessed.
RESULTS
A prognostic model based on five glucose metabolism-related genes (NEK9, HS2ST1, AC016394.3, H2BC21, and MIR23A) was developed. The model demonstrated strong predictive value, with high-risk patients showing poorer survival outcomes in both the TCGA and external validation cohorts. Additionally, lower risk scores were associated with better responses to immunotherapy, as indicated by TIDE and SubMap analyses. These findings were further validated through ROC analysis, which revealed robust predictive performance for immunotherapy response across multiple cohorts. NEK9 promoted the proliferation and tumour angiogenesis of SW1116 and SW480 cells, inhibited apoptosis, and enhanced glucose uptake and lactate production in tumour cells. NEK9 knockdown significantly inhibited the tumorigenic ability of COAD in mice.
CONCLUSIONS
This study highlights the role of glucose metabolism in COAD and presents a novel prognostic model based on glucose metabolism-related genes. The model has potential clinical applications for predicting survival and guiding immunotherapy decisions in patients with COAD.
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