AI Article Synopsis
- * Researchers analyzed miRNA expression profiles from tumor tissues and adjacent normal tissues in ccRCC patients, applying various statistical analyses to establish correlations with survival rates.
- * A total of 147 differentially expressed miRNAs were identified, leading to the creation of a tumor-specific signature of 22 miRNAs, which was validated as an independent prognostic factor for ccRCC.
Article Abstract
Purpose: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancers in adults, and microRNAs (miRNAs) differentially expressed in ccRCC tumors have been identified and proposed to predict prognosis. In the present study, we comprehensively analyzed the genome-wide miRNA expression profiles in ccRCC, with the aim to generate a tumor-specific miRNA signature of prognostic values.
Methods: The miRNA profiles in tumor and the adjacent normal tissue were analyzed, and the association of the differentially expressed miRNAs with patient survival was examined with univariate Cox regression analysis. Finally, a tumor-specific miRNA signature was generated and examined with Kaplan-Meier survival, univariate, and multivariate Cox regression analyses.
Results: A total of 147 miRNAs were found differentially expressed between tumor and matched non-tumor tissues from 58 ccRCC patients. The prognostic values of these differentially expressed miRNAs were subsequently analyzed in the 411 ccRCC patients, and 22 miRNAs were found significantly correlated with patient survival. Finally, a tumor-specific miRNA signature of 22 miRNAs was generated and validated as an independent prognostic parameter.
Conclusions: A tumor-specific miRNA signature consisting of 22 miRNAs was identified and validated as an independent prognostic factor, which could serve as a novel biomarker for ccRCC prognostication and help in predicting treatment outcome.
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| http://dx.doi.org/10.1007/s00432-015-1927-0 | DOI Listing |
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