Identification of biomarkers and potential molecular mechanisms of clear cell renal cell carcinoma

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Updated: Feb 13, 2026

Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
05:36

Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane

Published on: February 8, 2020

9.5K

F Wu, S Wu, X Gou

    Neoplasma
    |March 15, 2018
    PubMed

    Insights

    This study identifies key biomarkers and molecular mechanisms for clear cell renal cell carcinoma (ccRCC), a common adult cancer. Findings highlight potential targets for future ccRCC research and therapeutic development.

    Area of Science:

    • Oncology
    • Molecular Biology
    • Bioinformatics

    Background:

    • Clear cell renal cell carcinoma (ccRCC) represents the predominant form of kidney cancer in adults.
    • Identifying specific biomarkers and understanding the underlying molecular mechanisms are crucial for advancing ccRCC research and treatment.

    Purpose of the Study:

    • To identify novel biomarkers for clear cell renal cell carcinoma (ccRCC).
    • To elucidate potential molecular mechanisms driving ccRCC development and progression.
    • To provide a foundation for further research into ccRCC pathogenesis and therapeutic strategies.

    Main Methods:

    • Utilized GEO database for gene and miRNA expression profiles.
    • Applied GEO2R for differential expression analysis, identifying differentially expressed genes (DEGs) and miRNAs (DEMs).
    • Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses using KOBAS software.
    • Constructed and analyzed protein-protein interaction (PPI) and miRNA-gene networks via Cytoscape.
    • Validated biomarker expression and survival data using GEPIA and OncoLnc, with qPCR confirmation in ccRCC cell lines.

    Main Results:

    • Identified 330 up-regulated and 545 down-regulated DEGs, alongside 26 up-regulated and 11 down-regulated DEMs.
    • GO enrichment analysis revealed distinct functional categories for up- and down-regulated genes.
    • KEGG pathway analysis highlighted significant enrichment in HIF-1 signaling, focal adhesion, PI3K-Akt signaling, and metabolic pathways.
    • Eight DEGs (VEGFA, PPARA, CCND1, FLT1, CXCL12, FN1, DCN, ERBB4) were identified as potential biomarkers.
    • Four biomarkers were experimentally validated, showing consistent expression trends.

    Conclusions:

    • The study successfully identified several potential biomarkers and elucidated key molecular pathways implicated in ccRCC.
    • These findings offer valuable insights for future investigations into ccRCC biology.
    • The validated biomarkers and pathways represent promising targets for diagnostic and therapeutic advancements in ccRCC.
    Keywords:
    clear cell renal cell carcinomadifferentially expressed genemiRNA survival analysis.protein-protein interaction network

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