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门静脉肿瘤血栓形成中长链非编码RNA驱动网络的特征:对肝细胞癌进展的影响

Characterization of lncRNA-Driven Networks in Portal Vein Tumor Thrombosis: Implications for Hepatocellular Carcinoma Progression.

作者信息

Kim Ji Young, Dho So Hee, Kim Lark Kyun

机构信息

Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.

出版信息

J Cancer. 2025 Feb 11;16(6):1754-1767. doi: 10.7150/jca.107270. eCollection 2025.

Abstract

: Portal vein tumor thrombosis (PVTT) is a frequent and serious complication of advanced hepatocellular carcinoma (HCC) that often results in poor prognosis. Although PVTT holds significant clinical relevance, the molecular mechanisms driving its formation are not well understood. Long non-coding RNAs (lncRNAs) have emerged as potential contributors to PVTT progression, prompting this study to explore lncRNAs as potential biomarkers for PVTT. : We analyzed publicly available datasets from the Gene Expression Omnibus to identify differentially expressed lncRNAs and mRNAs across three comparisons: normal vs. HCC, normal vs. PVTT, and HCC vs. PVTT. Transcriptional profiles were characterized, and proteins interacting with HCC- and PVTT-specific lncRNAs were screened using online databases, revealing that all interacting proteins were transcription factors (TFs). We constructed lncRNA-TF-target gene regulatory networks by intersecting TF target genes with differentially expressed genes (DEGs) from each comparison. Protein-protein interaction (PPI) network analysis was performed to identify key clusters and hub genes, with TFs such as AR and ESR1 being highlighted. Gene Ontology analyses were conducted to understand the biological functions of the regulatory networks. : The study identified distinct transcriptional profiles for normal, HCC, and PVTT samples. Key regulatory networks, involving lncRNAs, TFs, and target genes, were constructed, and significant hub genes, including AR and ESR1, were identified as potential therapeutic targets. PPI network analysis revealed important clusters associated with PVTT progression, while Gene Ontology analyses provided insights into relevant biological functions. : This study presents a novel framework for understanding lncRNA-TF-mediated gene regulation in PVTT. It identifies potential therapeutic targets and prognostic biomarkers that could facilitate the development of targeted therapies for PVTT, offering new opportunities to improve clinical outcomes.

摘要

门静脉肿瘤血栓形成(PVTT)是晚期肝细胞癌(HCC)常见且严重的并发症,常导致预后不良。尽管PVTT具有重要的临床意义,但其形成的分子机制尚不清楚。长链非编码RNA(lncRNAs)已成为PVTT进展的潜在因素,促使本研究探索将lncRNAs作为PVTT的潜在生物标志物。:我们分析了基因表达综合数据库中公开可用的数据集,以确定在三个比较中差异表达的lncRNAs和mRNAs:正常与HCC、正常与PVTT、HCC与PVTT。对转录谱进行了表征,并使用在线数据库筛选了与HCC和PVTT特异性lncRNAs相互作用的蛋白质,结果显示所有相互作用的蛋白质均为转录因子(TFs)。我们通过将TF靶基因与每个比较中的差异表达基因(DEGs)相交,构建了lncRNA-TF-靶基因调控网络。进行蛋白质-蛋白质相互作用(PPI)网络分析以确定关键簇和枢纽基因,其中AR和ESR1等TFs被突出显示。进行基因本体分析以了解调控网络的生物学功能。:该研究确定了正常、HCC和PVTT样本的不同转录谱。构建了涉及lncRNAs、TFs和靶基因的关键调控网络,并确定了包括AR和ESR1在内的重要枢纽基因作为潜在的治疗靶点。PPI网络分析揭示了与PVTT进展相关的重要簇,而基因本体分析提供了对相关生物学功能的见解。:本研究提出了一个理解PVTT中lncRNA-TF介导的基因调控的新框架。它确定了潜在的治疗靶点和预后生物标志物,这可能有助于开发针对PVTT的靶向治疗,为改善临床结果提供了新的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd2/11905401/18cc550af0f5/jcav16p1754g001.jpg

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