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Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays

To identify candidate genes relevant for prostate tumour prognosis and progression, we performed an exhaustive gene search in seven previously described genomic-profiling studies of 161 prostate tumours, and four expression profiling studies of 61 tumours. From the resulting list of candidate genes,...

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Autores principales: Prowatke, I, Devens, F, Benner, A, Gröne, E F, Mertens, D, Gröne, H-J, Lichter, P, Joos, S
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2360197/
https://www.ncbi.nlm.nih.gov/pubmed/17146477
http://dx.doi.org/10.1038/sj.bjc.6603490
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author Prowatke, I
Devens, F
Benner, A
Gröne, E F
Mertens, D
Gröne, H-J
Lichter, P
Joos, S
author_facet Prowatke, I
Devens, F
Benner, A
Gröne, E F
Mertens, D
Gröne, H-J
Lichter, P
Joos, S
author_sort Prowatke, I
collection PubMed
description To identify candidate genes relevant for prostate tumour prognosis and progression, we performed an exhaustive gene search in seven previously described genomic-profiling studies of 161 prostate tumours, and four expression profiling studies of 61 tumours. From the resulting list of candidate genes, six were selected for protein-expression analysis based on the availability of antibodies applicable to paraffinised tissue: fatty acid synthase (FASN), MYC, β-adrenergic receptor kinase 1 (BARK1, GRK2) the catalytic subunits of protein phosphatases PP1α (PPP1CA) and PP2A (PPP2CB) and metastasis suppressor NM23-H1. These candidates were analysed by immunohistochemistry (IHC) on a tissue microarray containing 651 cores of primary prostate cancer samples and benign prostatic hyperplasias (BPH) from 175 patients. In univariate analysis, expression of PP1α (P=0.001) was found to strongly correlate with Gleason score. MYC immunostaining negatively correlated with both pT-stage and Gleason score (P<0.001 each) in univariate as well as in multivariate analysis. Furthermore, a subgroup of patients with high Gleason scores was characterised by a complete loss of BARK1 protein (P=0.023). In conclusion, our study revealed novel molecular markers of potential diagnostic and therapeutic relevance for prostate carcinoma.
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spelling pubmed-23601972009-09-10 Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays Prowatke, I Devens, F Benner, A Gröne, E F Mertens, D Gröne, H-J Lichter, P Joos, S Br J Cancer Molecular Diagnostics To identify candidate genes relevant for prostate tumour prognosis and progression, we performed an exhaustive gene search in seven previously described genomic-profiling studies of 161 prostate tumours, and four expression profiling studies of 61 tumours. From the resulting list of candidate genes, six were selected for protein-expression analysis based on the availability of antibodies applicable to paraffinised tissue: fatty acid synthase (FASN), MYC, β-adrenergic receptor kinase 1 (BARK1, GRK2) the catalytic subunits of protein phosphatases PP1α (PPP1CA) and PP2A (PPP2CB) and metastasis suppressor NM23-H1. These candidates were analysed by immunohistochemistry (IHC) on a tissue microarray containing 651 cores of primary prostate cancer samples and benign prostatic hyperplasias (BPH) from 175 patients. In univariate analysis, expression of PP1α (P=0.001) was found to strongly correlate with Gleason score. MYC immunostaining negatively correlated with both pT-stage and Gleason score (P<0.001 each) in univariate as well as in multivariate analysis. Furthermore, a subgroup of patients with high Gleason scores was characterised by a complete loss of BARK1 protein (P=0.023). In conclusion, our study revealed novel molecular markers of potential diagnostic and therapeutic relevance for prostate carcinoma. Nature Publishing Group 2007-01-15 2006-12-05 /pmc/articles/PMC2360197/ /pubmed/17146477 http://dx.doi.org/10.1038/sj.bjc.6603490 Text en Copyright © 2007 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Molecular Diagnostics
Prowatke, I
Devens, F
Benner, A
Gröne, E F
Mertens, D
Gröne, H-J
Lichter, P
Joos, S
Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
title Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
title_full Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
title_fullStr Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
title_full_unstemmed Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
title_short Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
title_sort expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2360197/
https://www.ncbi.nlm.nih.gov/pubmed/17146477
http://dx.doi.org/10.1038/sj.bjc.6603490
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