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

• Published in: Clinical biochemistry Vol. 43; no. 1; pp. 150 - 158
• Main Authors: Chow, Tsz-fung F., Youssef, Youssef M., Lianidou, Evi, Romaschin, Alexander D., Honey, R. John, Stewart, Robert, Pace, Kenneth T., Yousef, George M.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 2010; Elsevier
• Subjects: Bioinformatics; Biological and medical sciences; Biomarkers, Tumor - metabolism; Carcinoma, Renal Cell - genetics; Carcinoma, Renal Cell - pathology; Carcinoma, Renal Cell - physiopathology; Chromosome Mapping; Computational Biology - methods; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humans; Kidney cancer; Kidney Neoplasms - genetics; Kidney Neoplasms - pathology; Kidney Neoplasms - physiopathology; Kidneys; Medical sciences; Microarray; Microarray Analysis; microRNA; MicroRNAs - genetics; MicroRNAs - metabolism; miRNA; Nephrology. Urinary tract diseases; Renal cell carcinoma; RT-PCR; Tumor markers; Tumors of the urinary system; RCC; Tumor markers; Renal cell carcinoma; RT-PCR; qRT-PCR; Kidney cancer; miRNA; microRNA; Microarray; Bioinformatics; Carcinoma; RNA interference; RNA-directed DNA polymerase; Pathogenesis; Tumoral marker; Clear cell; Grawitz tumor; Reverse transcription polymerase chain reaction; Kidney disease; Urinary system disease; Enzyme; Transferases; Micro RNA; Malignant tumor; Gene expression profile; Gene silencing; Nucleotidyltransferases; Molecular biology; Cancer
• ISSN: 0009-9120; 1873-2933
• DOI: 10.1016/j.clinbiochem.2009.07.020

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