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

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 ge...

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Autores principales: Jung, Monika, Mollenkopf, Hans-Joachim, Grimm, Christina, Wagner, Ina, Albrecht, Marco, Waller, Tobias, Pilarsky, Christian, Johannsen, Manfred, Stephan, Carsten, Lehrach, Hans, Nietfeld, Wilfried, Rudel, Thomas, Jung, Klaus, Kristiansen, Glen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4516539/
https://www.ncbi.nlm.nih.gov/pubmed/19228262
http://dx.doi.org/10.1111/j.1582-4934.2009.00705.x
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author Jung, Monika
Mollenkopf, Hans-Joachim
Grimm, Christina
Wagner, Ina
Albrecht, Marco
Waller, Tobias
Pilarsky, Christian
Johannsen, Manfred
Stephan, Carsten
Lehrach, Hans
Nietfeld, Wilfried
Rudel, Thomas
Jung, Klaus
Kristiansen, Glen
author_facet Jung, Monika
Mollenkopf, Hans-Joachim
Grimm, Christina
Wagner, Ina
Albrecht, Marco
Waller, Tobias
Pilarsky, Christian
Johannsen, Manfred
Stephan, Carsten
Lehrach, Hans
Nietfeld, Wilfried
Rudel, Thomas
Jung, Klaus
Kristiansen, Glen
author_sort Jung, Monika
collection PubMed
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.
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spelling pubmed-45165392015-08-03 MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy Jung, Monika Mollenkopf, Hans-Joachim Grimm, Christina Wagner, Ina Albrecht, Marco Waller, Tobias Pilarsky, Christian Johannsen, Manfred Stephan, Carsten Lehrach, Hans Nietfeld, Wilfried Rudel, Thomas Jung, Klaus Kristiansen, Glen J Cell Mol Med Molecular Oncology 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. John Wiley & Sons, Ltd 2009-09 2009-02-18 /pmc/articles/PMC4516539/ /pubmed/19228262 http://dx.doi.org/10.1111/j.1582-4934.2009.00705.x Text en © 2009 The Authors Journal compilation © 2009 Foundation for Cellular and Molecular Medicine/Blackwell Publishing Ltd
spellingShingle Molecular Oncology
Jung, Monika
Mollenkopf, Hans-Joachim
Grimm, Christina
Wagner, Ina
Albrecht, Marco
Waller, Tobias
Pilarsky, Christian
Johannsen, Manfred
Stephan, Carsten
Lehrach, Hans
Nietfeld, Wilfried
Rudel, Thomas
Jung, Klaus
Kristiansen, Glen
MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
title MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
title_full MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
title_fullStr MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
title_full_unstemmed MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
title_short MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
title_sort microrna profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
topic Molecular Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4516539/
https://www.ncbi.nlm.nih.gov/pubmed/19228262
http://dx.doi.org/10.1111/j.1582-4934.2009.00705.x
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