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Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer
Molecular prognostic markers are urgently needed in order to improve therapy decisions in prostate cancer. To better understand the requirements for biomarker studies, we re-analyzed prostate cancer tissue microarray immunohistochemistry (IHC) data from 39 prognosis markers in subsets of 50 – >10...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5003445/ https://www.ncbi.nlm.nih.gov/pubmed/27600340 http://dx.doi.org/10.3390/microarrays3020137 |
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author | Burdelski, Christoph Matuszewska, Aleksandra Kluth, Martina Koop, Christina Grupp, Katharina Steurer, Stefan Wittmer, Corinna Minner, Sarah Tsourlakis, Maria Christina Sauter, Guido Schlomm, Thorsten Simon, Ronald |
author_facet | Burdelski, Christoph Matuszewska, Aleksandra Kluth, Martina Koop, Christina Grupp, Katharina Steurer, Stefan Wittmer, Corinna Minner, Sarah Tsourlakis, Maria Christina Sauter, Guido Schlomm, Thorsten Simon, Ronald |
author_sort | Burdelski, Christoph |
collection | PubMed |
description | Molecular prognostic markers are urgently needed in order to improve therapy decisions in prostate cancer. To better understand the requirements for biomarker studies, we re-analyzed prostate cancer tissue microarray immunohistochemistry (IHC) data from 39 prognosis markers in subsets of 50 – >10,000 tumors. We found a strong association between the “prognostic power” of individual markers and the number of tissues that should be minimally included in such studies. The prognostic relevance of more than 90% of the 39 IHC markers could be detected if ≥6400 tissue samples were analyzed. Studying markers of tissue quality, including immunohistochemistry of ets-related gene (ERG) and vimentin, and fluorescence in-situ hybridization analysis of human epidermal growth factor receptor 2 (HER2), we found that 18% of tissues in our tissue microarray (TMA) showed signs of reduced tissue preservation and limited immunoreactivity. Comparing the results of Kaplan-Meier survival analyses or associations to ERG immunohistochemistry in subsets of tumors with and without exclusion of these defective tissues did not reveal statistically relevant differences. In summary, our study demonstrates that TMA-based marker validation studies using biochemical recurrence as an endpoint require at least 6400 individual tissue samples for establishing statistically relevant associations between the expression of molecular markers and patient outcome if weak to moderate prognosticators should also be reliably identified. |
format | Online Article Text |
id | pubmed-5003445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50034452016-09-06 Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer Burdelski, Christoph Matuszewska, Aleksandra Kluth, Martina Koop, Christina Grupp, Katharina Steurer, Stefan Wittmer, Corinna Minner, Sarah Tsourlakis, Maria Christina Sauter, Guido Schlomm, Thorsten Simon, Ronald Microarrays (Basel) Article Molecular prognostic markers are urgently needed in order to improve therapy decisions in prostate cancer. To better understand the requirements for biomarker studies, we re-analyzed prostate cancer tissue microarray immunohistochemistry (IHC) data from 39 prognosis markers in subsets of 50 – >10,000 tumors. We found a strong association between the “prognostic power” of individual markers and the number of tissues that should be minimally included in such studies. The prognostic relevance of more than 90% of the 39 IHC markers could be detected if ≥6400 tissue samples were analyzed. Studying markers of tissue quality, including immunohistochemistry of ets-related gene (ERG) and vimentin, and fluorescence in-situ hybridization analysis of human epidermal growth factor receptor 2 (HER2), we found that 18% of tissues in our tissue microarray (TMA) showed signs of reduced tissue preservation and limited immunoreactivity. Comparing the results of Kaplan-Meier survival analyses or associations to ERG immunohistochemistry in subsets of tumors with and without exclusion of these defective tissues did not reveal statistically relevant differences. In summary, our study demonstrates that TMA-based marker validation studies using biochemical recurrence as an endpoint require at least 6400 individual tissue samples for establishing statistically relevant associations between the expression of molecular markers and patient outcome if weak to moderate prognosticators should also be reliably identified. MDPI 2014-04-17 /pmc/articles/PMC5003445/ /pubmed/27600340 http://dx.doi.org/10.3390/microarrays3020137 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Burdelski, Christoph Matuszewska, Aleksandra Kluth, Martina Koop, Christina Grupp, Katharina Steurer, Stefan Wittmer, Corinna Minner, Sarah Tsourlakis, Maria Christina Sauter, Guido Schlomm, Thorsten Simon, Ronald Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer |
title | Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer |
title_full | Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer |
title_fullStr | Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer |
title_full_unstemmed | Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer |
title_short | Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer |
title_sort | qualitative and quantitative requirements for assessing prognostic markers in prostate cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5003445/ https://www.ncbi.nlm.nih.gov/pubmed/27600340 http://dx.doi.org/10.3390/microarrays3020137 |
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