Analysis of miRNA-Mediated ceRNAs In The Pathogenesis of Renal Cell Carcinoma: An In Silico Approach

Abstract

R enal cell tumors represent approximately 3% of all cancers in males and lower incidence in females. Several factors such as genetics, obesity, tobacco smoking, hypertension, diuretics, medications such as acetaminophen and non-aspirin non-steroidal anti-inflammatory drugs, viral hepatitis, and chemical carcinogens (asbestos, arsenic, etc.,) are implicated in the pathogenesis of renal cell tumors [1, 2, 3]. Renal cell carcinomas are divided into three subtypes: chromophobe, renal clear cell carcinoma and renal papillary cell carcinoma and this classification is verified by genetic and cytogenetic analysis [4, 5]. The most common form of renal cell tumors (approximately 70% of renal tumors) is renal clear cell carcinoma in adults. Papillary renal cell carcinoma is the second most frequent kidney tumors in adults [6].

In Silico Analysis of miRNA-mediated ceRNAs as Potential Molecular Biomarkers in Glioblastoma

“…For each gene, the tool indicates the possibility of being functional target of a group of miRNAs according to the relative miRNA expression levels [10][11][12] . It is expected that RNA transcripts of the given genes have potential ceRNA activities for the microRNAs and this regulation may occur via miRNA-sponging mechanism 13 .…”