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DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy
BACKGROUND: We analysed critically the potential usefulness of RNA- and DNA-based biomarkers in supporting conventional histological diagnostic tests for prostate carcinoma (PCa) detection. METHODS: Microarray profiling of gene expression and DNA methylation was performed on 16 benign prostatic hype...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134497/ https://www.ncbi.nlm.nih.gov/pubmed/24937670 http://dx.doi.org/10.1038/bjc.2014.337 |
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author | Paziewska, A Dabrowska, M Goryca, K Antoniewicz, A Dobruch, J Mikula, M Jarosz, D Zapala, L Borowka, A Ostrowski, J |
author_facet | Paziewska, A Dabrowska, M Goryca, K Antoniewicz, A Dobruch, J Mikula, M Jarosz, D Zapala, L Borowka, A Ostrowski, J |
author_sort | Paziewska, A |
collection | PubMed |
description | BACKGROUND: We analysed critically the potential usefulness of RNA- and DNA-based biomarkers in supporting conventional histological diagnostic tests for prostate carcinoma (PCa) detection. METHODS: Microarray profiling of gene expression and DNA methylation was performed on 16 benign prostatic hyperplasia (BPH) and 32 cancerous and non-cancerous prostate samples extracted by radical prostatectomy. The predictive value of the selected biomarkers was validated by qPCR-based methods using tissue samples extracted from the 58 prostates and, separately, using 227 prostate core biopsies. RESULTS: HOXC6, AMACR and PCA3 expression showed the best discrimination between PCa and BPH. All three genes were previously reported as the most promising mRNA-based markers for distinguishing cancerous lesions from benign prostate lesions; however, none were sufficiently sensitive and specific to meet the criteria for a PCa diagnostic biomarker. By contrast, DNA methylation levels of the APC, TACC2, RARB, DGKZ and HES5 promoter regions achieved high discriminating sensitivity and specificity, with area under the curve (AUCs) reaching 0.95−1.0. Only a small overlap was detected between the DNA methylation levels of PCa-positive and PCa-negative needle biopsies, with AUCs ranging between 0.854 and 0.899. CONCLUSIONS: DNA methylation-based biomarkers reflect the prostate malignancy and might be useful in supporting clinical decisions for suspected PCa following an initial negative prostate biopsy. |
format | Online Article Text |
id | pubmed-4134497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41344972015-08-12 DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy Paziewska, A Dabrowska, M Goryca, K Antoniewicz, A Dobruch, J Mikula, M Jarosz, D Zapala, L Borowka, A Ostrowski, J Br J Cancer Molecular Diagnostics BACKGROUND: We analysed critically the potential usefulness of RNA- and DNA-based biomarkers in supporting conventional histological diagnostic tests for prostate carcinoma (PCa) detection. METHODS: Microarray profiling of gene expression and DNA methylation was performed on 16 benign prostatic hyperplasia (BPH) and 32 cancerous and non-cancerous prostate samples extracted by radical prostatectomy. The predictive value of the selected biomarkers was validated by qPCR-based methods using tissue samples extracted from the 58 prostates and, separately, using 227 prostate core biopsies. RESULTS: HOXC6, AMACR and PCA3 expression showed the best discrimination between PCa and BPH. All three genes were previously reported as the most promising mRNA-based markers for distinguishing cancerous lesions from benign prostate lesions; however, none were sufficiently sensitive and specific to meet the criteria for a PCa diagnostic biomarker. By contrast, DNA methylation levels of the APC, TACC2, RARB, DGKZ and HES5 promoter regions achieved high discriminating sensitivity and specificity, with area under the curve (AUCs) reaching 0.95−1.0. Only a small overlap was detected between the DNA methylation levels of PCa-positive and PCa-negative needle biopsies, with AUCs ranging between 0.854 and 0.899. CONCLUSIONS: DNA methylation-based biomarkers reflect the prostate malignancy and might be useful in supporting clinical decisions for suspected PCa following an initial negative prostate biopsy. Nature Publishing Group 2014-08-12 2014-06-17 /pmc/articles/PMC4134497/ /pubmed/24937670 http://dx.doi.org/10.1038/bjc.2014.337 Text en Copyright © 2014 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Molecular Diagnostics Paziewska, A Dabrowska, M Goryca, K Antoniewicz, A Dobruch, J Mikula, M Jarosz, D Zapala, L Borowka, A Ostrowski, J DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
title | DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
title_full | DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
title_fullStr | DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
title_full_unstemmed | DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
title_short | DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
title_sort | dna methylation status is more reliable than gene expression at detecting cancer in prostate biopsy |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134497/ https://www.ncbi.nlm.nih.gov/pubmed/24937670 http://dx.doi.org/10.1038/bjc.2014.337 |
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