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          Institute: MPI für Infektionsbiologie     Collection: Core Facilites     Display Documents



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ID: 456278.0, MPI für Infektionsbiologie / Core Facilites
MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy.
Authors:Jung, Monika; Mollenkopf, Hans J.; Grimm, Christina; Wagner, Ina; Albrecht, Marco; Waller, Tobias; Pilarsky, Christian; Johannsen, Manfred; Stephan, Carsten; Lehrach, Hans; Nietfeld, Wilfried; Rudel, Thomas; Jung, Klaus; Kristiansen, Glen
Language:English
Date of Publication (YYYY-MM-DD):2009-02-18
Title of Journal:Journal of Cellular and Molecular Medicine
Journal Abbrev.:J Cell Mol Med
Volume:13
Issue / Number:9b
Start Page:3918
End Page:3928
Review Status:Peer-review
Audience:Experts Only
Abstract / Description:MicroRNAs are short single-stranded RNAs that are associated with gene regulation at the transcriptional and translational level. Changes in their expression were found in a variety of human cancers. Only few data are available on microRNAs in clear cell renal cell carcinoma (ccRCC). We performed genome-wide expression profiling of microRNAs using microarray analysis and quantification of specific microRNAs by TaqMan real-time RT-PCR. Matched malignant and non-malignant tissue samples from two independent sets of 12 and 72 ccRCC were profiled. The microarray-based experiments identified 13 over-expressed and 20 down-regulated microRNAs in malignant samples. Expression in ccRCC tissue samples compared with matched non-malignant samples measured by RT-PCR was increased on average by 2.7- to 23-fold for the hsa-miR-16, −452*, −224, −155 and −210, but decreased by 4.8- to 138-fold for hsa-miR-200b, −363, −429, −200c, −514 and −141. No significant associations between these differentially expressed microRNAs and the clinico-pathological factors tumour stage, tumour grade and survival rate were found. Nevertheless, malignant and non-malignant tissue could clearly be differentiated by their microRNA profile. A combination of miR-141 and miR-155 resulted in a 97% overall correct classification of samples. The presented differential microRNA pattern provides a solid basis for further validation, including functional studies.
Free Keywords:clear cell renal cell carcinoma • microRNA profiling • microarray • RT-PCR
External Publication Status:published
Document Type:Article
Communicated by:Hilmar Fünning
Affiliations:MPI für Infektionsbiologie/Core Facilities
MPI für molekulare Genetik
External Affiliations:Department of Urology, Charité Universitätsmedizin, Berlin, Germany; Department of Microbiology, Biocenter, University of Wuerzburg, Wuerzburg, Germany; Department of Visceral Surgery, University Hospital, Dresden, Germany; Berlin Institute for Urologic Research, Berlin, Germany; Institute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
Identifiers:ISSN:1582-1838 [Print]
ISSN:1582-4934 [Electronic]
DOI:10.1111/j.1582-4934.2009.00705.x
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