首页|基于加权基因共表达网络分析筛选肝细胞癌预后相关生物标志物及潜在治疗药物

基于加权基因共表达网络分析筛选肝细胞癌预后相关生物标志物及潜在治疗药物

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目的 筛选肝细胞癌(hepatocellular carcinoma,HCC)预后相关生物标志物,从分子水平探讨 HCC 可能的发病机制,并预测对 HCC具有潜在治疗作用的候选药物.方法 下载 TCGA数据库和 GEO 数据库中 HCC 的转录组数据及其临床记录信息.分别对其基因表达谱数据进行加权基因共表达网络分析(weighted gene co-expression network analysis,WGCNA)和差异表达基因分析,选取两个数据集中与疾病正相关性最高的模块基因与差异表达基因取交集作为关键基因.利用GO和KEGG对关键基因进行功能富集分析.利用 STRING数据库构建 PPI网络,使用 Cytoscape软件对关键基因进行相关性分析,筛选核心基因.使用 R 语言程序包 K-M 进行生存分析明确核心基因与 HCC患者预后关系.利用在线数据库 DGIdb、DREMIT联合进行 HCC潜在治疗药物的筛选,依据药物靶点匹配数量、优选得分、特异性得分对预测结果进行排序,选择排名靠前的药物作为可能的候选治疗药物.结果 最终共得到 64 个关键基因,主要富集于细胞周期与分裂、DNA 复制和损伤修复、病毒感染、P53 信号通路等.PPI 分析发现,CDC20、KIF2C、CCNB2、KIF20A、CCNA2、TOP2A、UBE2C、NUSAP1、AURKA和TRX2 为核心基因.K-M 生存分析显示,CDC20、KIF20A、CCNA2、TOP2A与 HCC的预后显著相关.DGIdb、DREMI联合筛选对 HCC有潜在疗效的候选药物,其中索拉非尼、多维替尼、氟尿嘧啶、米托蒽醌等在DGIdb、DREMI中皆排名靠前.结论 CDC20、KIF20A、CCNA2、TOP2A可能是HCC预后的潜在生物标志物,但仍需进一步临床研究加以验证.HCC的发生发展可能与病毒感染、细胞周期与分裂,DNA 复制和损伤修复、P53 信号通路有关.索拉非尼、多韦替尼、氟尿嘧啶、米托蒽醌等可能作为 HCC治疗的潜在临床候选药物.
To screen prognostic biomarkers and potential therapeutic drugs in hepatocellular carcinoma based on weighted gene co-expression network analysis
Objective To screen biomarkers associated with adverse prognosis in hepatocellular carcinoma(HCC),exploring the possible pathogenesis of HCC at the molecular level,and to predict drug candidates with potential thera-peutic effects in HCC.Methods The transcriptomic data of HCC and its clinical records were downloaded from the TCGA database and the GEO database.The gene expression profiles were analyzed by weighted gene co-expression net-work analysis(WGCNA)and differential expression gene analysis respectively.The intersection of the most positively correlated modular genes and the differentially expressed genes in the two datasets were selected as the key genes.Func-tional enrichment analysis of key genes was performed using GO and KEGG.PPI networks were constructed using the STRING database,and hub genes were identified by correlation analysis of key genes using Cytoscape software.Survival survival analysis was performed using the R language package K-M to clarify the relationship between core genes and the prognosis of HCC patients.Screening of potential therapeutic drugs for HCC was performed jointly using the online data-bases DGIdb and DREMIT.The prediction results were ranked based on the number of drug target matches,preference score,and specificity score.The top-ranked drugs were selected as possible therapeutic drug candidates.Results A to-tal of 64 key genes were obtained,mainly enriched in cell cycle and division,DNA replication and damage repair,virus infection,P53 signaling pathway,etc.CDC20,KIF2C,CCNB2,KIF20A,CCNA2,TOP2A,UBE2C,NUSAP1,AURKA and TRX2 were identified as hub genes by PPI analysis.K-M survival analysis showed that CDC20,KIF20A,CCNA2 and TOP2A were significantly associated with the prognosis of HCC.Drug candidates with potential efficacy in HCC were jointly screened by DGIdb and DREMI,with Sorafenib,Dovitinib,Fluorouracil and Mitoxantrone ranking high in both DGIdb and DREMI.Conclusion CDC20,KIF20A,CCNA2 and TOP2A may be potential biomarkers of HCC prognosis,but further clinical studies are needed to validate them.The development of HCC may be related to vi-rus infection,cell cycle and division,DNA replication and damage repair,and the P53 signaling pathway.Sorafenib,Dovitinib,Fluorouracil and Mitoxantrone as potential clinical candidates for the treatment of HCC.

Hepatocellular carcinomaWGCNAMolecular mechanismBiomarkerDrug prediction

张昊军、李泓毅、智鹏、张钧栋、王紫宁、于琦、卢学春

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山西医科大学基础医学院,山西 太原 030000

中国人民解放军总医院第二医学中心血液病科,国家老年疾病临床医学研究中心

解放军医学院

肝细胞癌 加权基因共表达网络分析 分子机制 生物标志物 药物预测

国家重点研发计划资助项目山西省重点研发计划(社发领域)重点项目

2020YFC2002706201903D311011

2024

胃肠病学和肝病学杂志
郑州大学

胃肠病学和肝病学杂志

CSTPCD
影响因子:1.029
ISSN:1006-5709
年,卷(期):2024.33(1)
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