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The mRNA–miRNA–lncRNA Regulatory Network and Factors Associated with Prognosis Prediction of Hepatocellular Carcinoma
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作者 Bo Hu Xiaolu Ma +8 位作者 Peiyao Fu qiman sun Weiguo Tang Haixiang sun Zhangfu Yang Mincheng Yu Jian Zhou Jia Fan Yang Xu 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2021年第6期913-925,共13页
The aim of this study was to identify novel prognostic mRNA and microRNA(miRNA)biomarkers for hepatocellular carcinoma(HCC)using methods in systems biology.Differentially expressed mRNAs,miRNAs,and long non-coding RNA... The aim of this study was to identify novel prognostic mRNA and microRNA(miRNA)biomarkers for hepatocellular carcinoma(HCC)using methods in systems biology.Differentially 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)database.Subsequently,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 analysis.Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs.An expression module including 120 mRNAs was significantly corre-lated with HCC patient survival.Combined 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 prognosis.Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC.Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways.The 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. 展开更多
关键词 TCGA database mRNA-miRNA-lncRNA regulatory network Hepatocellular carcinoma Prognostic factor Systems biology
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