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September 19, 2025TSF journal of biology0 citationsOpen Access

Identification of Molecular Signatures and Prognostic Markers in Clear Cell Renal Cell Carcinoma through Advanced Bioinformatics and Systems Biology

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ANAsim NisarSNShahzadi NoreenMAMuhammad Rizwan Ashraf

Key Points

  • The analysis revealed six genes significantly associated with better overall survival in patients with clear cell renal cell carcinoma.
  • Using bioinformatics tools, 409 upregulated and 125 downregulated genes were identified from external gene expression profiles.
  • Network analysis highlighted twelve hub genes, which may serve as prognostic markers and therapeutic targets for ccRCC.
  • Results suggest potential clinical applications of identified biomarkers to improve management strategies for clear cell renal cell carcinoma.

Abstract

This study aimed to find potential genes that could serve as biomarkers for the diagnosis, prognosis, or targeted therapy of clear cell renal cell carcinoma (ccRCC). Two expression profiles, GSE36895 and GSE53757, were taken from Gene Expression Omnibus. Differentially regulated genes (DRGs) between clear cell renal cell carcinoma (ccRCC) and normal tissues were identified using GEO2R. The analysis yielded 409 upregulated and 125 downregulated genes (adjusted p-value 1). Overall, the study findings highlight novel gene candidates with potential clinical significance. The identified hub genes may serve as prognostic indicators and possible therapeutic targets, contributing to improved clinical management of ccRCC in the future.

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Cite This Study

Nisar et al. (2025) studied this question.

synapsesocial.com/papers/68d466a831b076d99fa64dfbhttps://doi.org/10.69547/tsfjb.030107
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