Bioinformatics analysis of molecular genetic targets and key pathways for hepatocellular carcinoma

Junxue Tu1, Jingjing Chen2, Meimei He1

  • 1Department of Pharmacy, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, People's Republic of China.

Abstract

Insights

Hepatocellular carcinoma (HCC) is a major cancer. This study identified key genes like PLK1, PRCC, PRPF4, and PSMA7, and pathways involved in HCC progression, offering potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Hepatocellular carcinoma (HCC) is a significant global health concern, ranking as the second leading cause of cancer-related mortality worldwide.
  • Identifying molecular targets and understanding the underlying mechanisms of HCC are crucial for developing effective treatment strategies.

Purpose of the Study:

  • To identify key molecular target genes and elucidate the underlying mechanisms driving Hepatocellular Carcinoma (HCC) progression.
  • To analyze gene and microRNA (miRNA) expression profiles to uncover novel insights into HCC pathogenesis.

Main Methods:

  • Utilized gene expression profiles (GSE84006, GSE14323, GSE14811) and miRNA expression profiles (GSE40744, GSE36915) from the Gene Expression Omnibus database.
  • Employed GEO2R for differentially expressed gene (DEG) analysis, KEGG pathway and GO enrichment analysis, and Cytoscape for miRNA-gene and protein-protein interaction (PPI) network construction.
  • Identified key target genes using CytoHubba, MCODE, and miRNA-gene networks, and validated hub gene survival using the Kaplan-Meier plotter database.

Main Results:

  • Identified 592 overlapping DEGs, enriched in membrane-bounded organelles and significantly associated with metabolic, protein processing in the endoplasmic reticulum, and thyroid cancer pathways.
  • PPI network analysis highlighted involvement in pathogenic *Escherichia coli* infection and actin cytoskeleton regulation.
  • Pinpointed 10 key genes in HCC progression, with *PLK1*, *PRCC*, *PRPF4*, and *PSMA7* showing higher expression in HCC patients with poor prognosis.

Conclusions:

  • *PLK1*, *PRCC*, *PRPF4*, and *PSMA7* demonstrate potential as biomarkers or therapeutic targets for Hepatocellular Carcinoma (HCC).
  • The metabolic pathway, protein processing in the endoplasmic reticulum, and the thyroid cancer pathway are implicated as critical players in HCC progression.

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