OBJECTIVE: We seek to identify the differentially expressed miRNAs in the clear cell subtype (ccRCC) of kidney cancer. DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSION: 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. Copyright 2009. Published by Elsevier Inc.
OBJECTIVE: We seek to identify the differentially expressed miRNAs in the clear cell subtype (ccRCC) of kidney cancer. DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSION: 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. Copyright 2009. Published by Elsevier Inc.
Authors: Jill Koshiol; Ena Wang; Yingdong Zhao; Francesco Marincola; Maria Teresa Landi Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-03-23 Impact factor: 4.254
Authors: Huiqing Liu; Angela R Brannon; Anupama R Reddy; Gabriela Alexe; Michael W Seiler; Alexandra Arreola; Jay H Oza; Ming Yao; David Juan; Louis S Liou; Shridar Ganesan; Arnold J Levine; W K Rathmell; Gyan V Bhanot Journal: BMC Syst Biol Date: 2010-04-27
Authors: Calida S Neal; Michael Z Michael; Lesley H Rawlings; Mark B Van der Hoek; Jonathan M Gleadle Journal: BMC Med Date: 2010-10-21 Impact factor: 8.775