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Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array

Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous cancer in male subjects in Western countries. The widespread use of prostate-specific antigen (PSA) has increased the detection of this cancer form in earlier stages. Moreover, it has increased the need for new diagnostic procedures...

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Autores principales: Tørring, N, Borre, M, Sørensen, K D, Andersen, C L, Wiuf, C, Ørntoft, T F
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2360016/
https://www.ncbi.nlm.nih.gov/pubmed/17245344
http://dx.doi.org/10.1038/sj.bjc.6603476
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author Tørring, N
Borre, M
Sørensen, K D
Andersen, C L
Wiuf, C
Ørntoft, T F
author_facet Tørring, N
Borre, M
Sørensen, K D
Andersen, C L
Wiuf, C
Ørntoft, T F
author_sort Tørring, N
collection PubMed
description Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous cancer in male subjects in Western countries. The widespread use of prostate-specific antigen (PSA) has increased the detection of this cancer form in earlier stages. Moreover, it has increased the need for new diagnostic procedures to be developed for patient stratification based on risk of progression. We analysed laser-microdissected prostate tumour tissue from 43 patients with histologically verified PCa, using the new high-resolution Affymetrix Mapping 50K single-nucleotide polymorphism array. The results showed six major loss of heterozygosity regions at chromosomes 6q14–16, 8p23–11, 10q23, 13q13–21 and 16q21–24 and a novel region at chromosome 21q22.2, all of which reveal concomitant copy number loss. Tumour development was further characterised by numerous novel genomic regions almost exclusively showing copy number loss. However, tumour progression towards a metastatic stage, as well as poor differentiation, was identified by specific patterns of copy number gains of genomic regions located at chromosomes 8q, 1q, 3q and 7q. Androgen ablation therapy was further characterised by copy gain at chromosomes 2p and 10q. In conclusion, patterns of allelic imbalance were discovered in PCa, consisting allelic loss as an early event in tumour development, and distinct patterns of allelic amplification related to tumour progression and poor differentiation.
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spelling pubmed-23600162009-09-10 Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array Tørring, N Borre, M Sørensen, K D Andersen, C L Wiuf, C Ørntoft, T F Br J Cancer Molecular Diagnostics Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous cancer in male subjects in Western countries. The widespread use of prostate-specific antigen (PSA) has increased the detection of this cancer form in earlier stages. Moreover, it has increased the need for new diagnostic procedures to be developed for patient stratification based on risk of progression. We analysed laser-microdissected prostate tumour tissue from 43 patients with histologically verified PCa, using the new high-resolution Affymetrix Mapping 50K single-nucleotide polymorphism array. The results showed six major loss of heterozygosity regions at chromosomes 6q14–16, 8p23–11, 10q23, 13q13–21 and 16q21–24 and a novel region at chromosome 21q22.2, all of which reveal concomitant copy number loss. Tumour development was further characterised by numerous novel genomic regions almost exclusively showing copy number loss. However, tumour progression towards a metastatic stage, as well as poor differentiation, was identified by specific patterns of copy number gains of genomic regions located at chromosomes 8q, 1q, 3q and 7q. Androgen ablation therapy was further characterised by copy gain at chromosomes 2p and 10q. In conclusion, patterns of allelic imbalance were discovered in PCa, consisting allelic loss as an early event in tumour development, and distinct patterns of allelic amplification related to tumour progression and poor differentiation. Nature Publishing Group 2007-02-12 2007-01-23 /pmc/articles/PMC2360016/ /pubmed/17245344 http://dx.doi.org/10.1038/sj.bjc.6603476 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
Tørring, N
Borre, M
Sørensen, K D
Andersen, C L
Wiuf, C
Ørntoft, T F
Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array
title Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array
title_full Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array
title_fullStr Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array
title_full_unstemmed Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array
title_short Genome-wide analysis of allelic imbalance in prostate cancer using the Affymetrix 50K SNP mapping array
title_sort genome-wide analysis of allelic imbalance in prostate cancer using the affymetrix 50k snp mapping array
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2360016/
https://www.ncbi.nlm.nih.gov/pubmed/17245344
http://dx.doi.org/10.1038/sj.bjc.6603476
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