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pmid:35340237

Bioinformatics Methods Reveal the Biomarkers and the miRNA-mRNA Network in Hepatocellular Carcinoma.

Yang Liu · Haoliang Zhang · Xue Han · Xiaowei Xing

Journal of healthcare engineering · 2022 doi:10.1155/2022/9963096

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:35340237
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science-record
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sha256:e6a3bb56c5937089216a61424e9a9d37bb72d55a07f46b7407c7928d49c9107d
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2026-11-01T18:14:08Z
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generator object · 2 fields
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paper object · 10 fields
state
complete
title
Bioinformatics Methods Reveal the Biomarkers and the miRNA-mRNA Network in Hepatocellular Carcinoma.
doi
10.1155/2022/9963096
pmid
35340237
authors array · 4 items
[0]
Yang Liu
[1]
Haoliang Zhang
[2]
Xue Han
[3]
Xiaowei Xing
journal
Journal of healthcare engineering
year
2022
abstract
Hepatocellular carcinoma (HCC) has threatened the health of humans, and few therapeutic strategies can completely uproot this illness. Bioinformatics methods have been widely used for investigating the pathological mechanisms of disease. In this study, datasets including GSE20077 and GSE108724, obtained from the Gene Expression Omnibus (GEO) database, were used for investigating the biomarker and molecular mechanism of HCC. The differentially expressed genes (DEGs) in the datasets were identified, and the targets of the miRNAs were searched in the miRDIP and miRNET databases. Enrichment analysis was performed for delving the molecular mechanism of DEGs, and protein-protein interaction (PPI) networks and miRNA-mRNA networks were used to reveal the hub nodes and the related interaction relationships. Moreover, the expression and diagnostic values of hub nodes were analyzed with the GEPIA2 database. The results showed that 53 upregulated miRNAs and 48 downregulated miRNAs were found in GSE20077, and 55 upregulated miRNAs and 69 downregulated miRNAs were found in GSE108724. Moreover, seven common miRNAs including miR-146b-5p, miR-338-3p, miR-375, miR-502-3p, miR-532-3p, miR-532-5p, and miR-557 were found in the datasets. The targets of the common miRNAs were related with the P53, HIF1, Wnt, and NF-κB pathways. Besides, YWHAZ and CDC42 were identified as the hub nodes and served as the downstream targets of miR-375-3p. The GEPIA2 database showed that YWHAZ and CDC42 were related with the survival rate of the patients. In conclusion, this study suggests that miR-375-3p functions as a tumor suppressor which could inhibit the progression of HCC via targeting YWHAZ and CDC42.
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The differentially expressed genes (DEGs) in GSE20077 and GSE108724 were obtained with GEO2R analysis of the GEO database.
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methodological
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sections[4] "2.2. Identification of Differentially Expressed Genes" paragraph 2
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The differentially expressed genes (DEGs) in GSE20077 and GSE108724 were obtained with GEO2R analysis of the GEO database.
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claim-data-access
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The data to support the findings of this study are available on reasonable request from the corresponding author.
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sections[17] "Data Availability" paragraph 2
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The data to support the findings of this study are available on reasonable request from the corresponding author.
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GEO2R analysis of GSE20077 and GSE108724 identified 53 upregulated and 48 downregulated miRNAs in GSE20077, 55 upregulated and 69 downregulated miRNAs in GSE108724, and seven common miRNAs.
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qualitative
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sections[0] "Abstract" paragraph 1
quote
The results showed that 53 upregulated miRNAs and 48 downregulated miRNAs were found in GSE20077, and 55 upregulated miRNAs and 69 downregulated miRNAs were found in GSE108724.
[1] object · 3 fields
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sections[0] "Abstract" paragraph 1
quote
Moreover, seven common miRNAs including miR-146b-5p, miR-338-3p, miR-375, miR-502-3p, miR-532-3p, miR-532-5p, and miR-557 were found in the datasets.
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GEO2R analysis of GSE20077 and GSE108724 identified 53 upregulated and 48 downregulated miRNAs in GSE20077, 55 upregulated and 69 downregulated miRNAs in GSE108724, and seven common miRNAs.
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Microarray profiling of miRNA in Hepatocellular carcinoma
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2026-11-01T15:39:54Z
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8227
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Homo sapiens
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Aberrantly microRNA profiling in cancerous hepatocytes versus normal primary hepatocytes
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2026-11-01T18:06:43Z
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The differentially expressed genes (DEGs) in GSE20077 and GSE108724 were obtained with GEO2R analysis of the GEO database.
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Automated Assays Laravel application and simulated adapters
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Complete file
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In this study, datasets including GSE20077 and GSE108724, obtained from the Gene Expression Omnibus (GEO) database, were used for investigating the biomarker and molecular mechanism of HCC. The differentially expressed genes (DEGs) in the datasets were identified, and the targets of the miRNAs were searched in the miRDIP and miRNET databases. Enrichment analysis was performed for delving the molecular mechanism of DEGs, and protein-protein interaction (PPI) networks and miRNA-mRNA networks were used to reveal the hub nodes and the related interaction relationships. Moreover, the expression and diagnostic values of hub nodes were analyzed with the GEPIA2 database. The results showed that 53 upregulated miRNAs and 48 downregulated miRNAs were found in GSE20077, and 55 upregulated miRNAs and 69 downregulated miRNAs were found in GSE108724. Moreover, seven common miRNAs including miR-146b-5p, miR-338-3p, miR-375, miR-502-3p, miR-532-3p, miR-532-5p, and miR-557 were found in the datasets. 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