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Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer

Prognostic multigene expression assays have become widely available to provide additional information to standard clinical parameters and to support clinicians in treatment decisions. In this study, we analyzed the impact of variations in tissue handling on the diagnostic EndoPredict test results. E...

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Autores principales: Poremba, Christopher, Uhlendorff, Jennifer, Pfitzner, Berit M., Hennig, Guido, Bohmann, Kerstin, Bojar, Hans, Krenn, Veit, Brase, Jan C., Haufe, Franziska, Averdick, Manuela, Dietel, Manfred, Kronenwett, Ralf, Denkert, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180906/
https://www.ncbi.nlm.nih.gov/pubmed/25218890
http://dx.doi.org/10.1007/s00428-014-1652-0
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author Poremba, Christopher
Uhlendorff, Jennifer
Pfitzner, Berit M.
Hennig, Guido
Bohmann, Kerstin
Bojar, Hans
Krenn, Veit
Brase, Jan C.
Haufe, Franziska
Averdick, Manuela
Dietel, Manfred
Kronenwett, Ralf
Denkert, Carsten
author_facet Poremba, Christopher
Uhlendorff, Jennifer
Pfitzner, Berit M.
Hennig, Guido
Bohmann, Kerstin
Bojar, Hans
Krenn, Veit
Brase, Jan C.
Haufe, Franziska
Averdick, Manuela
Dietel, Manfred
Kronenwett, Ralf
Denkert, Carsten
author_sort Poremba, Christopher
collection PubMed
description Prognostic multigene expression assays have become widely available to provide additional information to standard clinical parameters and to support clinicians in treatment decisions. In this study, we analyzed the impact of variations in tissue handling on the diagnostic EndoPredict test results. EndoPredict is a quantitative reverse transcription PCR assay conducted on RNA from formalin-fixed, paraffin-embedded (FFPE) tissue that predicts the likelihood of distant recurrence in patients with ER-positive/HER2-negative breast cancer. In this study, we performed a total of 138 EndoPredict assays to study the effects of preanalytical variables such as time to fixation, fixation time, tumor cell content, and section storage time on the EndoPredict test results. A time to fixation of up to 12 h and fixation of up to 5 days did not affect the results of the gene expression test. Paired samples of FFPE sections with tumor cell content ranging from 15 to 95 % and tumor-enriched samples showed a correlation coefficient of 0.97. Test results of tissue sections that have been stored for 12 months at +4 or +20 °C showed a correlation of 0.99 when compared to results of nonstored sections. In conclusion, preanalytical tissue handling is not a critical factor for diagnostic gene expression analysis with the EndoPredict assay. The test can therefore be easily integrated into the standard workflow of molecular pathology.
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spelling pubmed-41809062014-10-08 Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer Poremba, Christopher Uhlendorff, Jennifer Pfitzner, Berit M. Hennig, Guido Bohmann, Kerstin Bojar, Hans Krenn, Veit Brase, Jan C. Haufe, Franziska Averdick, Manuela Dietel, Manfred Kronenwett, Ralf Denkert, Carsten Virchows Arch Original Article Prognostic multigene expression assays have become widely available to provide additional information to standard clinical parameters and to support clinicians in treatment decisions. In this study, we analyzed the impact of variations in tissue handling on the diagnostic EndoPredict test results. EndoPredict is a quantitative reverse transcription PCR assay conducted on RNA from formalin-fixed, paraffin-embedded (FFPE) tissue that predicts the likelihood of distant recurrence in patients with ER-positive/HER2-negative breast cancer. In this study, we performed a total of 138 EndoPredict assays to study the effects of preanalytical variables such as time to fixation, fixation time, tumor cell content, and section storage time on the EndoPredict test results. A time to fixation of up to 12 h and fixation of up to 5 days did not affect the results of the gene expression test. Paired samples of FFPE sections with tumor cell content ranging from 15 to 95 % and tumor-enriched samples showed a correlation coefficient of 0.97. Test results of tissue sections that have been stored for 12 months at +4 or +20 °C showed a correlation of 0.99 when compared to results of nonstored sections. In conclusion, preanalytical tissue handling is not a critical factor for diagnostic gene expression analysis with the EndoPredict assay. The test can therefore be easily integrated into the standard workflow of molecular pathology. Springer Berlin Heidelberg 2014-09-14 2014 /pmc/articles/PMC4180906/ /pubmed/25218890 http://dx.doi.org/10.1007/s00428-014-1652-0 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Poremba, Christopher
Uhlendorff, Jennifer
Pfitzner, Berit M.
Hennig, Guido
Bohmann, Kerstin
Bojar, Hans
Krenn, Veit
Brase, Jan C.
Haufe, Franziska
Averdick, Manuela
Dietel, Manfred
Kronenwett, Ralf
Denkert, Carsten
Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
title Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
title_full Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
title_fullStr Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
title_full_unstemmed Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
title_short Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
title_sort preanalytical variables and performance of diagnostic rna-based gene expression analysis in breast cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180906/
https://www.ncbi.nlm.nih.gov/pubmed/25218890
http://dx.doi.org/10.1007/s00428-014-1652-0
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