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13 June 2019 : Clinical Research  

Identification of a 5-Gene Signature Predicting Progression and Prognosis of Clear Cell Renal Cell Carcinoma

Qiufeng Pan1ABCE, Longwang Wang2DE, Hao Zhang1CD, Chaoqi Liang1E, Bing Li1AG*

DOI: 10.12659/MSM.917399

Med Sci Monit 2019; 25:4401-4413

Abstract

BACKGROUND: Although the mortality rates of clear cell renal cell carcinoma (ccRCC) have decreased in recent years, the clinical outcome remains highly dependent on the individual patient. Therefore, identifying novel biomarkers for ccRCC patients is crucial.

MATERIAL AND METHODS: In this study, we obtained RNA sequencing data and clinical information from the TCGA database. Subsequently, we performed integrated bioinformatic analysis that includes differently expressed genes analysis, gene ontology and KEGG pathway analysis, protein-protein interaction analysis, and survival analysis. Moreover, univariate and multivariate Cox proportional hazards regression models were constructed.

RESULTS: As a result, we identified a total of 263 dysregulated genes that may participate in the metastasis of ccRCC, and established a predictive signature relying on the expression of OTX1, MATN4, PI3, ERVV-2, and NFE4, which could serve as significant progressive and prognostic biomarkers for ccRCC.

CONCLUSIONS: We identified differentially expressed genes that may be involved in the metastasis of ccRCC. Moreover, a predictive signature based on the expression of OTX1, MATN4, PI3, ERVV-2, and NFE4 could be an independent prognostic factor for ccRCC.

Keywords: Biological Markers, Carcinoma, Renal Cell, Gene Expression, Prognosis, Biomarkers, Tumor, Computational Biology, Databases, Genetic, Disease Progression, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, gene ontology, Genetic Predisposition to Disease, Kaplan-Meier Estimate, Kidney Neoplasms, Proportional Hazards Models, Survival Analysis, transcriptome

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Med Sci Monit 2023; 29:e939580

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750