{"title":"ANXA5: A Multi-Omics-Derived, UPR-Associated Dual-Function Biomarker for Prognosis and Immunotherapy Response Prediction in Glioma","authors":"Jiachong Wang, Haijun Guo, Wei Zheng, Maximo Lin, Chunyuan Zhang, Biying Zeng, Duorong Wu, Zigui Chen, Changfeng Miao, Chunhai Tang, Qisheng Luo","doi":"10.1002/biof.70092","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Glioma, a highly aggressive brain cancer, thrives in an immunosuppressive tumor microenvironment (TME). The Unfolded Protein Response (UPR) is a key adaptive stress pathway implicated in therapy resistance. To discover clinically actionable biomarkers, we employed an integrated multi-omics strategy, combining single-cell and bulk transcriptomic data from multiple glioma cohorts. Using hdWGCNA network analysis, we identified a UPR-associated gene module that defined two molecular subtypes with stark survival differences. Through a rigorous machine learning pipeline (Random Survival Forest, LASSO, and CoxBoost), ANXA5 emerged as the central prognostic gene. High ANXA5 expression consistently predicted poorer overall survival across eight independent datasets, validating its robust prognostic value. Functionally, ANXA5 was linked to extracellular matrix remodeling and immune modulation. Multi-omics profiling revealed that ANXA5-high gliomas exhibit a T-cell-inflamed yet immunosuppressive TME, characterized by elevated immune checkpoint expression. Crucially, ANXA5 demonstrated strong predictive power for response to immune checkpoint blockade (ICB), showing significant correlation with nine established immunotherapy response signatures and accurately discriminating responders from non-responders in six independent ICB-treated clinical cohorts (AUC: 0.65–0.78). Genomic analysis associated ANXA5 expression with distinct mutation patterns (EGFR/PTEN vs. IDH1/TP53). In vitro knockdown of ANXA5 confirmed its oncogenic role, as it suppressed glioma cell proliferation and invasion. Our study establishes ANXA5 as a prime example of a translatable biomarker discovered through multi-omics integration. It functions dually as a prognostic indicator and a predictive biomarker for immunotherapy, offering a tangible framework for patient stratification and personalized therapeutic strategies in glioma, thereby bridging a critical gap toward clinical translation.</p>\n </div>","PeriodicalId":8923,"journal":{"name":"BioFactors","volume":"52 2","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioFactors","FirstCategoryId":"99","ListUrlMain":"https://iubmb.onlinelibrary.wiley.com/doi/10.1002/biof.70092","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Glioma, a highly aggressive brain cancer, thrives in an immunosuppressive tumor microenvironment (TME). The Unfolded Protein Response (UPR) is a key adaptive stress pathway implicated in therapy resistance. To discover clinically actionable biomarkers, we employed an integrated multi-omics strategy, combining single-cell and bulk transcriptomic data from multiple glioma cohorts. Using hdWGCNA network analysis, we identified a UPR-associated gene module that defined two molecular subtypes with stark survival differences. Through a rigorous machine learning pipeline (Random Survival Forest, LASSO, and CoxBoost), ANXA5 emerged as the central prognostic gene. High ANXA5 expression consistently predicted poorer overall survival across eight independent datasets, validating its robust prognostic value. Functionally, ANXA5 was linked to extracellular matrix remodeling and immune modulation. Multi-omics profiling revealed that ANXA5-high gliomas exhibit a T-cell-inflamed yet immunosuppressive TME, characterized by elevated immune checkpoint expression. Crucially, ANXA5 demonstrated strong predictive power for response to immune checkpoint blockade (ICB), showing significant correlation with nine established immunotherapy response signatures and accurately discriminating responders from non-responders in six independent ICB-treated clinical cohorts (AUC: 0.65–0.78). Genomic analysis associated ANXA5 expression with distinct mutation patterns (EGFR/PTEN vs. IDH1/TP53). In vitro knockdown of ANXA5 confirmed its oncogenic role, as it suppressed glioma cell proliferation and invasion. Our study establishes ANXA5 as a prime example of a translatable biomarker discovered through multi-omics integration. It functions dually as a prognostic indicator and a predictive biomarker for immunotherapy, offering a tangible framework for patient stratification and personalized therapeutic strategies in glioma, thereby bridging a critical gap toward clinical translation.
期刊介绍:
BioFactors, a journal of the International Union of Biochemistry and Molecular Biology, is devoted to the rapid publication of highly significant original research articles and reviews in experimental biology in health and disease.
The word “biofactors” refers to the many compounds that regulate biological functions. Biological factors comprise many molecules produced or modified by living organisms, and present in many essential systems like the blood, the nervous or immunological systems. A non-exhaustive list of biological factors includes neurotransmitters, cytokines, chemokines, hormones, coagulation factors, transcription factors, signaling molecules, receptor ligands and many more. In the group of biofactors we can accommodate several classical molecules not synthetized in the body such as vitamins, micronutrients or essential trace elements.
In keeping with this unified view of biochemistry, BioFactors publishes research dealing with the identification of new substances and the elucidation of their functions at the biophysical, biochemical, cellular and human level as well as studies revealing novel functions of already known biofactors. The journal encourages the submission of studies that use biochemistry, biophysics, cell and molecular biology and/or cell signaling approaches.