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Archive > Volume 27 Issue 6 > 2020,27(6):678-684. DOI:10.3872/j.issn.1007-385X.2020.06.014 Prev Next
Clinical Research
Screening prognosis-related molecules in hepatocellular carcinoma by competing endogenous RNAs regulatory network
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Abstract:
Objective: To identify the molecules related to the occurrence, development and prognosis of hepatocellular carcinoma (HCC) by constructing ceRNA regulatory network of HCC. Methods: Data of HCC transcription group were downloaded from TCGA database. We processed the original data into expression matrix of mRNA, lncRNA and miRNA via Perl language. DGEs of RNA and microRNA were extracted and analyzed from the“Edge”package of R language with the threshold of (|log FC|>2.0 and P<0.01).Through the database comparison, the relationship pairs of different lncRNAs-different miRNAs, different miRNAs-different mRNAs were obtained, and then imported them into the Cytoscape software to construct the ceRNA regulatory network diagram. The survival data of three DGEs were collected and analyzed by“survival”package and Kaplan Meier plotter analysis software. The survival curves were drawn and the genes were obtained by survival analysis. Results: The lncRNA related ceRNA regulatory network of HCC was successfully constructed. Three regulatory pairs of lncRNA-miRNA-mRNA were obtained by analyzing the interaction and regulatory relationship between DGEs via ceRNA network. Among them, one regulatory pathway (CCDC26-hsa-mir-141-EPHA2)was in accordance with ceRNA theory. The prognostic analyses showed that the survival rate of patients with high expression of 14 mRNAs was lower than those with low expression, which could be used as biomarkers of adverse prognosis of HCC. The survival rate of patients with low expression of 1 lncRNA (TSPEAR-AS1) and 2 mRNA (CPEB3 and PROK2) was lower than those with high expression, which may be the protective gene of HCC. Conclusions: Through screening of HCC lncRNA related ceRNA regulatory network, 14 mRNAs with high expression may be the relevant molecules related to poor prognosis of HCC, while 1 lncRNAand 2 mRNAs with low expression may be the molecules related to good prognosis of HCC, providing reference for HCC treatment and prognosis evaluation.
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Project Supported:
Project supported by the National Natural Science Foundation of China (No. 81670594)
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