Análise do transcriptoma de carcinoma renal de células claras baseada em RNAs não codificantes

Abstract

Clear cell renal carcinoma is the most common subtype among patients with cancer of the urinary system, presenting a poor prognosis when metastasized. Alterations at the genome and transcriptome level, specifically of mRNAs, have already been extensively analyzed, however recent studies reveal the importance of non-coding RNAs in the regulation of gene expression. This study aims to investigate the activity of RNAs, with a focus on non-coding genes in clear cell renal cell carcinoma by analyzing patient data from The Cancer Genome Atlas using bioinformatics techniques, analyzing cohort patient patterns, genomic and transcriptome alterations. Exploratory analysis showed that patient survival status is significantly correlated with disease staging. Differential expression analysis between normal and tumor tissues, identified 2,999 coding RNAs, 271 lncRNAs, and 132 miRNAs, with a Log2FC = 2 and p-value of 0.01. Functional analysis of the differentially expressed genes showed an enrichment of terms related to renal oncology pathways and kidney-related diseases. Finally, the construction of the endogenous competition network allowed the identification and visualization of common targets among 18 lncRNAs and 75 miRNAs. From survival curves with a significant p-value associated with the expression of the 18 lncRNAs belonging to the network, the inverse behavior of two lncRNAs, EPB41L4A-AS1 and SNHG15 when underexpressed are relate to a poor and better prognosis, respectively. Finally, studies have shown that these lncRNAs are cancer-related and potential biomarkers.