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Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma

Jinxing Wang1, Lushun Yuan1, Xingnian Liu1

  • 1Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China.

Oncology Letters
|May 29, 2018
PubMed

Insights

Bioinformatics analysis identified 7 key genes, including MME and ALB, as potential therapeutic targets and diagnostic biomarkers for clear cell renal cell carcinoma (ccRCC), offering insights into kidney cancer mechanisms.

Area of Science:

  • Oncology
  • Bioinformatics
  • Molecular Biology

Background:

  • Clear cell renal cell carcinoma (ccRCC) is the predominant form of kidney cancer.
  • Understanding the molecular mechanisms driving ccRCC is crucial for developing effective treatments.

Purpose of the Study:

  • To identify potential therapeutic targets and diagnostic biomarkers for ccRCC.
  • To explore the underlying molecular mechanisms of ccRCC using bioinformatics analysis.

Main Methods:

  • Screening of microarray data (GSE15641) from ccRCC and normal kidney samples.
  • Identification of differentially expressed genes (DEGs), followed by clustering and functional enrichment analysis.
  • Construction of protein-protein interaction (PPI) and pathway relation networks to identify hub genes.

Main Results:

  • 805 differentially expressed genes (403 upregulated, 402 downregulated) were identified between ccRCC and normal samples.
  • Enrichment analysis highlighted significant involvement of small molecule metabolic processes and metabolic pathways.
  • Seven hub genes, including MME, ALB, CDH1, ROM1, CXCL12, PTPRC, and ICAM1, were identified.

Conclusions:

  • The identified hub genes and enriched pathways provide insights into ccRCC molecular pathogenesis.
  • These candidate genes and pathways hold potential as therapeutic targets and diagnostic biomarkers for ccRCC.
Keywords:
bioinformatics analysisclear cell renal cell carcinomadifferentially expressed geneshub genesprotein-protein interaction network

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