2024
DOI: 10.3390/ijms25084214
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Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network

Epitácio Farias,
Patrick Terrematte,
Beatriz Stransky

Abstract: Clear-cell renal-cell carcinoma (ccRCC) is a silent-development pathology with a high rate of metastasis in patients. The activity of coding genes in metastatic progression is well known. New studies evaluate the association with non-coding genes, such as competitive endogenous RNA (ceRNA). This study aims to build a ceRNA network and a gene signature for ccRCC associated with metastatic development and analyze their biological functions. Using data from The Cancer Genome Atlas (TCGA), we constructed the ceRNA… Show more

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