南美超级胎牛血清999尝鲜特惠
转染试剂低至5折
基质胶阶梯特惠
积分商城,好礼送不停
南美超级胎牛血清999尝鲜特惠
转染试剂低至5折
基质胶阶梯特惠
积分商城,好礼送不停
分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

系统解码人内源性逆转录病毒衍生RNA在髓母细胞瘤中的功能作用

Systematic decoding the functional role of human endogenous retrovirus-derived RNAs in medulloblastoma

Zhao Jiaming, Yang Wei, Wang Tingting, She Jianqi, Xiao Liming, Tao Changyu, Chen Jian, Ge Ming, Yang Ence

Journal:Neuro-Oncology Advances

IF:4.6

DOI:10.1093/noajnl/vdag109

PMID:

Published:2026-04-27

research field:肿瘤学分子生物学非编码RNA研究基因组学儿童癌症

Abstract

BackgroundMedulloblastoma (MB) is the most common malignant pediatric brain tumor, but its pathogenesis remains poorly understood. Although human endogenous retrovirus-derived RNAs (hervRNAs) are implicated in tumorigenesis across various cancers, their functional role in the pathogenesis of MB has not been discovered.MethodsWe collected total RNA samples from 63 pediatric MB patients for RNA sequencing and identified the expression of hervRNAs in a locus-specific manner. The functional role of hervRNAs was analyzed through independent expression analysis, gene set enrichment analysis, weighted correlation network analysis, and further validated by siRNA-knockdown experiment in D283 cells.ResultsWe systematically identified 39,613 MB-expressed hervRNAs and found that their expression profile could distinguish the four consensus molecular subgroups. Specifically, 145 subgroup-specific hervRNAs were identified to be significantly associated with tumor development. Functional annotation revealed that these hervRNAs were enriched in known MB subgroup-related pathways, but also implied novel pathways related to regulated necrosis, negative regulation of class C GPCR, extracellular matrix remodeling, as well as DNA methylation. Notably, the expression of Group3-specific hervRNAs showed a significant negative correlation with promoter DNA methylation levels. Experimental validation confirmed that Group3-specific hervRNA_G38830 and hervRNA_G66017 inhibit cell proliferation and promote apoptosis. Finally, a semi-quantitative model based on 70 hervRNA clusters achieved molecular classification with accuracy above 94.8%.ConclusionOur work provided insights into MB tumorigenesis in the layer of hervRNA, uncovering potential targets for therapeutic intervention and novel biomarkers for molecular classification.

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