Differential expression profiling of microRNAs and their potential involvement in renal cell carcinoma pathogenesis.

摘要: Abstract Objective We seek to identify the differentially expressed miRNAs in clear cell subtype (ccRCC) of kidney cancer. Design and methods performed a miRNA microarray analysis compare expression levels between ccRCC tissues their normal counterpart. The top dysregulated were validated by quantitative RT-PCR analysis. Bioinformatics was also performed. Results A total 33 identified ccRCC, including 21 upregulated many these have been reported be other malignancies potential role cancer pathogenesis. showed significant correlation with chromosomal aberration sites. utilized target prediction algorithms gene targets. Preliminary analyses targets can directly involved RCC Conclusion that are bioinformatics suggests may pathogenesis biomarkers.