| Experiment ID | EXP00187 |
| Reference | Title: MicroRNA profiles classify papillary renal cell carcinoma subtypes. Author: Wach S, Nolte E, Theil A, Stöhr C, T Rau T, Hartmann A, Ekici A, Keck B,Taubert H, Wullich B. Journal: Br J Cancer. 2013 Aug 6;109(3):714-22. doi: 10.1038/bjc.2013.313. Epub 2013 Jun25. Abstract: BACKGROUND: Besides the conventional clear-cell renal cell carcinoma (ccRCC),papillary RCC (pRCC) is the second most common renal malignancy. Papillary RCCscan further be subdivided into two distinct subtypes. Although a clinicalrelevance of pRCC subtyping has been shown, little is known about the molecularcharacteristics of both pRCC subtypes.METHODS: We performed microarray-based microRNA (miRNA) expression profiling ofprimary ccRCC and pRCC cases. A subset of miRNAs was identified and used toestablish a classification model for ccRCC, pRCC types 1 and 2 and normal tissue.Furthermore, we performed gene set enrichment analysis with the predicted miRNAtarget genes.RESULTS: Only five miRNAs (miR-145, -200c, -210, -502-3p and let-7c) weresufficient to identify the samples with high accuracy. In a collection of 111tissue samples, 73.9% were classified correctly. An enrichment of miRNA targetgenes in the family of multidrug-resistance proteins was noted in all tumours.Several components of the Jak-STAT signalling pathway might be targets for miRNAsthat define pRCC tumour subtypes.CONCLUSION: MicroRNAs are able to accurately classify RCC samples. DeregulatedmiRNAs might contribute to the high chemotherapy resistance of RCC. Furthermore, our results indicate that pRCC type 2 tumours could be dependent on oncogenic MYCsignalling. PMID: 23799849 |
| Expressiion Profile | Description: MicroRNA expression data from human renal cell cancer subtypes Organism: Homo sapiens GEO ID: GSE41282 Platform: GPL8786 Number of samples: 38 |
| Design and Sample | Cancer Type: kidney cancer Cancer SubType: renal cell carcinoma Cell Line: N/D Experimental Design: cancer vs normal Case Sample: papillary renal cell carcinoma type 1 Control Sample: normal tissue Num of Case: 7 Num of Control: 18 Quantification Software: Limma Num of miRNAs: 597 |
| Identification | Num of Up: 17 Num of Down: 17 |