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pmid:33274225

Investigation of the miRNA and mRNA Coexpression Network and Their Prognostic Value in Hepatocellular Carcinoma.

Hao Zhang · Xi Chen · Yufeng Yuan

BioMed research international · 2020 doi:10.1155/2020/8726567

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Investigation of the miRNA and mRNA Coexpression Network and Their Prognostic Value in Hepatocellular Carcinoma.
doi
10.1155/2020/8726567
pmid
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[0]
Hao Zhang
[1]
Xi Chen
[2]
Yufeng Yuan
journal
BioMed research international
year
2020
abstract
PURPOSE: To identify pivotal differentially expressed miRNAs and genes and construct their regulatory network in hepatocellular carcinoma. METHODS: mRNA (GSE101728) and microRNA (GSE108724) microarray datasets were obtained from the NCBI Gene Expression Omnibus (GEO) database. Then, we identified the differentially expressed miRNAs and mRNAs. Sequentially, transcription factor enrichment and gene ontology (GO) enrichment analysis for miRNA were performed. Target genes of these differential miRNAs were obtained using packages in R language (R package multiMiR). After that, downregulated miRNAs were matched with target mRNAs which were upregulated, while upregulated miRNAs were paired with downregulated target mRNA using scripts written in Perl. An miRNA-mRNA network was constructed and visualized in Cytoscape software. For miRNAs in the network, survival analysis was performed. And for genes in the network, we did gene ontology (GO) and KEGG pathway enrichment analysis. RESULTS: A total of 35 miRNAs and 295 mRNAs were involved in the network. These differential genes were enriched in positive regulation of cell-cell adhesion, positive regulation of leukocyte cell-cell adhesion, and so on. Eight differentially expressed miRNAs were found to be associated with the OS of patients with HCC. Among which, miR-425 and miR-324 were upregulated while the other six, including miR-99a, miR-100, miR-125b, miR-145, miR-150, and miR-338, were downregulated. CONCLUSION: In conclusion, these results can provide a potential research direction for further studies about the mechanisms of how miRNA affects malignant behavior in hepatocellular carcinoma.
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The related clinical data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/) database. A total of 368 HCC patients with complete available miRNA expression and follow-up datasets were involved in the overall survival analysis. Patients were divided into two groups according to the median value of the expression of miRNA that we want to study (high vs. low expression). Kaplan-Meier survival analysis was performed, and P value of 5-year survival rates was calculated and displayed.
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The related clinical data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/) database. A total of 368 HCC patients with complete available miRNA expression and follow-up datasets were involved in the overall survival analysis. Patients were divided into two groups according to the median value of the expression of miRNA that we want to study (high vs. low expression). Kaplan-Meier survival analysis was performed, and P value of 5-year survival rates was calculated and displayed.
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The related clinical data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/) database. A total of 368 HCC patients with complete available miRNA expression and follow-up datasets were involved in the overall survival analysis. Patients were divided into two groups according to the median value of the expression of miRNA that we want to study (high vs. low expression). Kaplan-Meier survival analysis was performed, and P value of 5-year survival rates was calculated and displayed.
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The related clinical data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/) database. A total of 368 HCC patients with complete available miRNA expression and follow-up datasets were involved in the overall survival analysis. Patients were divided into two groups according to the median value of the expression of miRNA that we want to study (high vs. low expression). Kaplan-Meier survival analysis was performed, and P value of 5-year survival rates was calculated and displayed.
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Then, we identified the differentially expressed miRNAs and mRNAs. Sequentially, transcription factor enrichment and gene ontology (GO) enrichment analysis for miRNA were performed. Target genes of these differential miRNAs were obtained using packages in R language (R package multiMiR). After that, downregulated miRNAs were matched with target mRNAs which were upregulated, while upregulated miRNAs were paired with downregulated target mRNA using scripts written in Perl. An miRNA-mRNA network was constructed and visualized in Cytoscape software. For miRNAs in the network, survival analysis was performed. And for genes in the network, we did gene ontology (GO) and KEGG pathway enrichment analysis.\nRESULTS: A total of 35 miRNAs and 295 mRNAs were involved in the network. These differential genes were enriched in positive regulation of cell-cell adhesion, positive regulation of leukocyte cell-cell adhesion, and so on. Eight differentially expressed miRNAs were found to be associated with the OS of patients with HCC. Among which, miR-425 and miR-324 were upregulated while the other six, including miR-99a, miR-100, miR-125b, miR-145, miR-150, and miR-338, were downregulated.\nCONCLUSION: In conclusion, these results can provide a potential research direction for further studies about the mechanisms of how miRNA affects malignant behavior in hepatocellular carcinoma.", "claims": [{"id": "claim-method", "statement": "The related clinical data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/) database. A total of 368 HCC patients with complete available miRNA expression and follow-up datasets were involved in the overall survival analysis. Patients were divided into two groups according to the median value of the expression of miRNA that we want to study (high vs. low expression). 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