Shared Genetic Architecture of Epilepsy and Glioma Revealed by Mendelian Randomization: Identifying Prognostic Biomarkers and Therapeutic Targets.

IF 2.5 4区 医学 Q3 ONCOLOGY
Xiangling Feng, Jiahao Zhou, Zhen He, Xiaomin Ying, Tongtong Kan
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引用次数: 0

Abstract

Background: Glioma-Related Epilepsy (GRE) is a hallmark comorbidity of Low-Grade Glioma (LGG), yet the cellular and molecular mechanisms through which germline epilepsy susceptibility converges with tumor biology to shape clinical outcomes remain poorly understood.

Methods: Genome-Wide Association Studies (GWAS), expression quantitative trait loci (eQTL) data, single-cell RNA sequencing, and spatial transcriptomics were integrated. Causal inference, phenotype-driven single-cell analyses, and machine learning were applied to identify genetically informed cellular mechanisms underlying GRE.

Results: A total of 68 germline loci shared by glioma and epilepsy (FDRIVW < 0.05) were integrated, with microglia and excitatory neurons as the principal mediating cell types. Four seizure-associated genes (WFIKKN1, WDSUB1, SPARCL1, and CALD1) were subsequently identified in TCGA-LGG, with high-confidence enhancer-promoter support for three of them (colco.PP4 > 0.9). A four-gene signature consistently stratified overall survival across three independent cohorts (TCGA-LGG, CGGA_325, and GSE16011) and correlated with immune checkpoint gene expression. High-risk patients showed higher sensitivity to cyclopamine, according to in silico drug response.

Discussion: These findings support a neuroimmune model in which pleiotropic germline variants act via microglia and excitatory neurons to link seizure biology with tumor immunity and prognosis. At the same time, in silico therapeutic predictions require functional and multi-ancestry validation.

Conclusion: These results reveal a common genetic architecture between glioma and epilepsy, offering candidate biomarkers and therapeutic strategies for the management of GRE.

孟德尔随机化揭示癫痫和神经胶质瘤的共同遗传结构:确定预后生物标志物和治疗靶点。
背景:胶质瘤相关性癫痫(GRE)是低级别胶质瘤(LGG)的标志性合并症,然而种系癫痫易感性与肿瘤生物学结合形成临床结果的细胞和分子机制尚不清楚。方法:整合全基因组关联研究(GWAS)、表达数量性状位点(eQTL)数据、单细胞RNA测序和空间转录组学。因果推理、表型驱动的单细胞分析和机器学习被应用于确定GRE的遗传信息细胞机制。结果:神经胶质瘤和癫痫共有68个种系基因座(FDRIVW < 0.05),其中小胶质细胞和兴奋性神经元是主要的介导细胞类型。随后在TCGA-LGG中鉴定出4个癫痫相关基因(WFIKKN1、WDSUB1、SPARCL1和CALD1),其中3个基因具有高置信度的增强子-启动子支持(colco。Pp4 > 0.9)。在三个独立的队列(TCGA-LGG、CGGA_325和GSE16011)中,四基因标记一致地对总生存率进行分层,并与免疫检查点基因表达相关。根据硅片药物反应,高危患者对环巴胺表现出更高的敏感性。讨论:这些发现支持一种神经免疫模型,其中多效性种系变异通过小胶质细胞和兴奋性神经元起作用,将癫痫生物学与肿瘤免疫和预后联系起来。同时,在硅治疗预测需要功能和多祖先验证。结论:这些结果揭示了神经胶质瘤和癫痫之间的共同遗传结构,为GRE的管理提供了候选生物标志物和治疗策略。
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来源期刊
Current cancer drug targets
Current cancer drug targets 医学-肿瘤学
CiteScore
5.40
自引率
0.00%
发文量
105
审稿时长
1 months
期刊介绍: Current Cancer Drug Targets aims to cover all the latest and outstanding developments on the medicinal chemistry, pharmacology, molecular biology, genomics and biochemistry of contemporary molecular drug targets involved in cancer, e.g. disease specific proteins, receptors, enzymes and genes. Current Cancer Drug Targets publishes original research articles, letters, reviews / mini-reviews, drug clinical trial studies and guest edited thematic issues written by leaders in the field covering a range of current topics on drug targets involved in cancer. As the discovery, identification, characterization and validation of novel human drug targets for anti-cancer drug discovery continues to grow; this journal has become essential reading for all pharmaceutical scientists involved in drug discovery and development.
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