Identification of dysregulated competitive endogenous RNA network driven by copy number variation in colon adenocarcinoma.

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-05-13 DOI:10.1080/10255842.2025.2498718

Qingliang Lin, Haiyu Liu, Qian Xu

引用次数: 0

Abstract

Competitive endogenous RNA (ceRNA) network modulation plays a crucial role in pathogenesis of colon adenocarcinoma (COAD). This study analyzed The Cancer Genome Atlas(TCGA) data to identify 151 copy number variation (CNV)-driven lncRNAs in COAD, constructing a ceRNA network (6 lncRNAs-14 miRNAs-68 mRNAs). Functional enrichment revealed their roles in muscle system processes , blood vessel development and extracellular matrix organization. Survival analysis linked LINC00941 amplification to poor prognosis. Two CNV-driven lncRNA-targeting drugs were identified, offering insights into COAD mechanisms and potential biomarkers.

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结肠腺癌中拷贝数变异驱动的竞争性内源性RNA网络失调的鉴定。

竞争性内源性RNA （ceRNA）网络调控在结肠腺癌（COAD）的发病机制中起着至关重要的作用。本研究分析了The Cancer Genome Atlas（TCGA）数据，鉴定了COAD中151个拷贝数变异（copy number variation， CNV）驱动的lncrna，构建了ceRNA网络（6个lncrna -14个mirna -68个mrna）。功能富集揭示了它们在肌肉系统过程、血管发育和细胞外基质组织中的作用。生存分析将LINC00941扩增与不良预后联系起来。鉴定了两种cnv驱动的lncrna靶向药物，为COAD机制和潜在的生物标志物提供了见解。

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

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.