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  MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy.

Jung, M., Mollenkopf, H.-J., Grimm, C., Wagner, I., Albrecht, M., Waller, T., et al. (2009). MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy. Journal of Cellular and Molecular Medicine, 13(9b), 3918-3928. doi:10.1111/j.1582-4934.2009.00705.x.

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Genre: Zeitschriftenartikel
Alternativer Titel : J. Cell. and Mol. Med.

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 Urheber:
Jung, Monika, Autor
Mollenkopf, Hans-Joachim1, Autor
Grimm, Christina2, Autor           
Wagner, Ina1, Autor
Albrecht, Marco, Autor
Waller, Tobias, Autor
Pilarsky, Christian, Autor
Johannsen, Manfred, Autor
Stephan, Carsten, Autor
Lehrach, Hans3, Autor           
Nietfeld, Wilfried3, Autor           
Rudel, Thomas, Autor
Jung, Klaus, Autor
Kristiansen, Glen, Autor
Affiliations:
1Max Planck Society, ou_persistent13              
2In vitro Ligand Screening (Zoltán Konthur), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479653              
3Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              

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Schlagwörter: clear cell renal cell carcinoma; microRNA profiling; microarray; RT-PCR
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2009-02-18
 Publikationsstatus: Erschienen
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Titel: Journal of Cellular and Molecular Medicine
  Alternativer Titel : J. Cell. and Mol. Med.
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 13 (9b) Artikelnummer: - Start- / Endseite: 3918 - 3928 Identifikator: ISSN: 1582-4934