ANXA5: A Multi-Omics-Derived, UPR-Associated Dual-Function Biomarker for Prognosis and Immunotherapy Response Prediction in Glioma

IF 5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
BioFactors Pub Date : 2026-03-17 DOI:10.1002/biof.70092
Jiachong Wang, Haijun Guo, Wei Zheng, Maximo Lin, Chunyuan Zhang, Biying Zeng, Duorong Wu, Zigui Chen, Changfeng Miao, Chunhai Tang, Qisheng Luo
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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.

Abstract Image

Abstract Image

ANXA5:一个多组学衍生的、upr相关的神经胶质瘤预后和免疫治疗反应预测的双功能生物标志物。
胶质瘤是一种高度侵袭性的脑癌,在免疫抑制肿瘤微环境(TME)中茁壮成长。未折叠蛋白反应(UPR)是一个关键的适应性应激途径,涉及治疗耐药性。为了发现临床可操作的生物标志物,我们采用了综合多组学策略,结合了来自多发性胶质瘤队列的单细胞和大量转录组学数据。通过hdWGCNA网络分析,我们确定了一个upr相关的基因模块,该模块定义了两种存在明显生存差异的分子亚型。通过严格的机器学习管道(Random Survival Forest、LASSO和CoxBoost), ANXA5成为了中心预后基因。在8个独立的数据集中,高ANXA5表达一致地预测较差的总生存期,验证了其强大的预后价值。功能上,ANXA5与细胞外基质重塑和免疫调节有关。多组学分析显示,高anxa5胶质瘤表现出t细胞炎症但免疫抑制的TME,其特征是免疫检查点表达升高。至关重要的是,ANXA5对免疫检查点阻断(ICB)的应答表现出很强的预测能力,与9个已建立的免疫治疗应答特征显著相关,并在6个独立的ICB治疗临床队列中准确区分应答者和无应答者(AUC: 0.65-0.78)。基因组分析将ANXA5表达与不同的突变模式(EGFR/PTEN vs. IDH1/TP53)联系起来。体外敲除ANXA5证实了其致癌作用,因为它抑制胶质瘤细胞的增殖和侵袭。我们的研究确立了ANXA5作为通过多组学整合发现的可翻译生物标志物的主要例子。它作为免疫治疗的预后指标和预测性生物标志物的双重功能,为胶质瘤患者分层和个性化治疗策略提供了切实的框架,从而弥合了临床翻译的关键差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BioFactors
BioFactors 生物-内分泌学与代谢
CiteScore
11.50
自引率
3.30%
发文量
96
审稿时长
6-12 weeks
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.
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