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Updated: Jun 8, 2026
Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
Published on: February 7, 2025
Integrative multi-omics identifies a glycosylation-based prognostic framework and nominates ALG3 for targeted therapy
1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Background:
Bladder urothelial carcinoma (BLCA) exhibits heterogeneous outcomes, creating an urgent need for reliable prognostic biomarkers. Glycosylation modifications are crucial in cancer but understudied for BLCA stratification.
Methods:
Using clinical and transcriptomic data from The Cancer Genome Atlas (TCGA) and glycosylation-related genes from the Gene Set Enrichment Analysis (GSEA) database, we constructed a prognostic signature via LASSO regression. It was validated using receiver operating characteristic (ROC) curve and stratified survival analyses. The key gene, alpha-1,3-mannosyltransferase (ALG3), was experimentally validated.
Results:
A novel 9-glycosylation-mRNA signature effectively stratified BLCA patients into distinct risk groups with significant overall survival differences. The model showed robust predictive accuracy (AUC) and remained independent of common clinicopathological factors. We identified ALG3 as central to the signature, confirming its elevated tumor expression and critical role in promoting cancer cell proliferation.
Conclusion:
We established a potent, glycosylation-based prognostic model for BLCA. Functional validation of ALG3 underscores glycosylation's biological importance in tumor progression and highlights its therapeutic potential.
