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The mrna–mirna–lncrna regulatory network and Factors Associated with Prognosis Prediction of Hepatocellular Carcinoma

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Genomics, Proteomics & Bioinformatics 2021年第6期19卷 913-925页

作者： Bo Hu Xiaolu Ma Peiyao Fu Qiman Sun Weiguo Tang Haixiang Sun Zhangfu Yang Mincheng Yu Jian Zhou Jia Fan Yang Xu Department of Liver Surgery and Transplantation Liver Cancer InstituteZhongshan Hospitaland Key Laboratory of Carcinogenesis and Cancer Invasion(MOE)Fudan UniversityShanghai 200032China State Key Laboratory of Genetic Engineering Fudan UniversityShanghai 200032China Institute of Biomedical Sciences Fudan UniversityShanghai 200032China Laboratory Medicine Department Zhongshan Hospitaland Key Laboratory of Carcinogenesis and Cancer Invasion(MOE)Fudan UniversityShanghai 200032China Institute of Fudan-Minhang Academic Health System Minhang HospitalFudan UniversityShanghai 201199China Endoscopy Centre Zhongshan HospitalFudan UniversityShanghai 200032China

The aim of this study was to identify novel prognostic mrna and microRNA(mirna)biomarkers for hepatocellular carcinoma(HCC)using methods in systems *** expressed mrnas,mirnas,and long non-coding RNAs(lncrnas)were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas(TCGA)***,a prognosis-associated mrna co-expression network,an mrna–mirna reg-ulatory network,and an mrna–mirna–lncrna regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival *** prognosis-associated mrna co-expression modules were obtained by analyzing these differentially expressed *** expression module including 120 mrnas was significantly corre-lated with HCC patient *** with patient survival data,several mrnas and mirnas,including CHST4,SLC22A8,STC2,hsa-miR-326,and hsa-miR-21 were identified from the network to predict HCC patient *** significance was investigated using tissue microarray analysis of samples from 258 patients with *** annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related *** present study provides a bioinformatics method for biomarker screening,leading to the identification of an integrated mrna–mirna–lncrna regulatory network and their co-expression patterns in relation to predicting HCC patient survival.

关键词： TCGA database mrna-mirna-lncrna regulatory network Hepatocellular carcinoma Prognostic factor Systems biology

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