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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: Journal Article
Alternative Title : J Cell Mol Med

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J_Cell_Moll_Med_2009_13_3918.pdf (Publisher version), 860KB
 
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 Creators:
Jung, Monika, Author
Mollenkopf, Hans J.1, Author              
Grimm, Christina2, Author
Wagner, Ina1, Author              
Albrecht, Marco, Author
Waller, Tobias, Author
Pilarsky, Christian, Author
Johannsen, Manfred, Author
Stephan, Carsten, Author
Lehrach, Hans2, Author
Nietfeld, Wilfried2, Author
Rudel, Thomas3, Author              
Jung, Klaus, Author
Kristiansen, Glen, Author
Affiliations:
1Core Facilities / Microarray, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664141              
2Max Planck Society, ou_persistent13              
3Department of Molecular Biology, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664147              

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Free keywords: clear cell renal cell carcinoma • microRNA profiling • microarray • RT-PCR
 Abstract: 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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Language(s): eng - English
 Dates: 2009-02-18
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 456278
DOI: 10.1111/j.1582-4934.2009.00705.x
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Title: Journal of Cellular and Molecular Medicine
  Alternative Title : J Cell Mol Med
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 13 (9b) Sequence Number: - Start / End Page: 3918 - 3928 Identifier: ISSN: 1582-1838
ISSN: 1582-4934