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Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test

BACKGROUND: EndoPredict (EP) is a clinically validated multianalyte gene expression test to predict distant metastasis in ER-positive, HER2-negative breast cancer treated with endocrine therapy alone. The test is based on the combined analysis of 12 genes in formalin-fixed, paraffin-embedded (FFPE)...

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Autores principales: Kronenwett, Ralf, Bohmann, Kerstin, Prinzler, Judith, Sinn, Bruno V, Haufe, Franziska, Roth, Claudia, Averdick, Manuela, Ropers, Tanja, Windbergs, Claudia, Brase, Jan C, Weber, Karsten E, Fisch, Karin, Müller, Berit M, Schmidt, Marcus, Filipits, Martin, Dubsky, Peter, Petry, Christoph, Dietel, Manfred, Denkert, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534340/
https://www.ncbi.nlm.nih.gov/pubmed/23039280
http://dx.doi.org/10.1186/1471-2407-12-456
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author Kronenwett, Ralf
Bohmann, Kerstin
Prinzler, Judith
Sinn, Bruno V
Haufe, Franziska
Roth, Claudia
Averdick, Manuela
Ropers, Tanja
Windbergs, Claudia
Brase, Jan C
Weber, Karsten E
Fisch, Karin
Müller, Berit M
Schmidt, Marcus
Filipits, Martin
Dubsky, Peter
Petry, Christoph
Dietel, Manfred
Denkert, Carsten
author_facet Kronenwett, Ralf
Bohmann, Kerstin
Prinzler, Judith
Sinn, Bruno V
Haufe, Franziska
Roth, Claudia
Averdick, Manuela
Ropers, Tanja
Windbergs, Claudia
Brase, Jan C
Weber, Karsten E
Fisch, Karin
Müller, Berit M
Schmidt, Marcus
Filipits, Martin
Dubsky, Peter
Petry, Christoph
Dietel, Manfred
Denkert, Carsten
author_sort Kronenwett, Ralf
collection PubMed
description BACKGROUND: EndoPredict (EP) is a clinically validated multianalyte gene expression test to predict distant metastasis in ER-positive, HER2-negative breast cancer treated with endocrine therapy alone. The test is based on the combined analysis of 12 genes in formalin-fixed, paraffin-embedded (FFPE) tissue by reverse transcription-quantitative real-time PCR (RT-qPCR). Recently, it was shown that EP is feasible for reliable decentralized assessment of gene expression. The aim of this study was the analytical validation of the performance characteristics of the assay and its verification in a molecular-pathological routine laboratory. METHODS: Gene expression values to calculate the EP score were assayed by one-step RT-qPCR using RNA from FFPE tumor tissue. Limit of blank, limit of detection, linear range, and PCR efficiency were assessed for each of the 12 PCR assays using serial samples dilutions. Different breast cancer samples were used to evaluate RNA input range, precision and inter-laboratory variability. RESULTS: PCR assays were linear up to C(q) values between 35.1 and 37.2. Amplification efficiencies ranged from 75% to 101%. The RNA input range without considerable change of the EP score was between 0.16 and 18.5 ng/μl. Analysis of precision (variation of day, day time, instrument, operator, reagent lots) resulted in a total noise (standard deviation) of 0.16 EP score units on a scale from 0 to 15. The major part of the total noise (SD 0.14) was caused by the replicate-to-replicate noise of the PCR assays (repeatability) and was not associated with different operating conditions (reproducibility). Performance characteristics established in the manufacturer’s laboratory were verified in a routine molecular pathology laboratory. Comparison of 10 tumor samples analyzed in two different laboratories showed a Pearson coefficient of 0.995 and a mean deviation of 0.15 score units. CONCLUSIONS: The EP test showed reproducible performance characteristics with good precision and negligible laboratory-to-laboratory variation. This study provides further evidence that the EP test is suitable for decentralized testing in specialized molecular pathological laboratories instead of a reference laboratory. This is a unique feature and a technical advance in comparison with existing RNA-based prognostic multigene expression tests.
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spelling pubmed-35343402013-01-03 Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test Kronenwett, Ralf Bohmann, Kerstin Prinzler, Judith Sinn, Bruno V Haufe, Franziska Roth, Claudia Averdick, Manuela Ropers, Tanja Windbergs, Claudia Brase, Jan C Weber, Karsten E Fisch, Karin Müller, Berit M Schmidt, Marcus Filipits, Martin Dubsky, Peter Petry, Christoph Dietel, Manfred Denkert, Carsten BMC Cancer Technical Advance BACKGROUND: EndoPredict (EP) is a clinically validated multianalyte gene expression test to predict distant metastasis in ER-positive, HER2-negative breast cancer treated with endocrine therapy alone. The test is based on the combined analysis of 12 genes in formalin-fixed, paraffin-embedded (FFPE) tissue by reverse transcription-quantitative real-time PCR (RT-qPCR). Recently, it was shown that EP is feasible for reliable decentralized assessment of gene expression. The aim of this study was the analytical validation of the performance characteristics of the assay and its verification in a molecular-pathological routine laboratory. METHODS: Gene expression values to calculate the EP score were assayed by one-step RT-qPCR using RNA from FFPE tumor tissue. Limit of blank, limit of detection, linear range, and PCR efficiency were assessed for each of the 12 PCR assays using serial samples dilutions. Different breast cancer samples were used to evaluate RNA input range, precision and inter-laboratory variability. RESULTS: PCR assays were linear up to C(q) values between 35.1 and 37.2. Amplification efficiencies ranged from 75% to 101%. The RNA input range without considerable change of the EP score was between 0.16 and 18.5 ng/μl. Analysis of precision (variation of day, day time, instrument, operator, reagent lots) resulted in a total noise (standard deviation) of 0.16 EP score units on a scale from 0 to 15. The major part of the total noise (SD 0.14) was caused by the replicate-to-replicate noise of the PCR assays (repeatability) and was not associated with different operating conditions (reproducibility). Performance characteristics established in the manufacturer’s laboratory were verified in a routine molecular pathology laboratory. Comparison of 10 tumor samples analyzed in two different laboratories showed a Pearson coefficient of 0.995 and a mean deviation of 0.15 score units. CONCLUSIONS: The EP test showed reproducible performance characteristics with good precision and negligible laboratory-to-laboratory variation. This study provides further evidence that the EP test is suitable for decentralized testing in specialized molecular pathological laboratories instead of a reference laboratory. This is a unique feature and a technical advance in comparison with existing RNA-based prognostic multigene expression tests. BioMed Central 2012-10-05 /pmc/articles/PMC3534340/ /pubmed/23039280 http://dx.doi.org/10.1186/1471-2407-12-456 Text en Copyright ©2012 Kronenwett et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Advance
Kronenwett, Ralf
Bohmann, Kerstin
Prinzler, Judith
Sinn, Bruno V
Haufe, Franziska
Roth, Claudia
Averdick, Manuela
Ropers, Tanja
Windbergs, Claudia
Brase, Jan C
Weber, Karsten E
Fisch, Karin
Müller, Berit M
Schmidt, Marcus
Filipits, Martin
Dubsky, Peter
Petry, Christoph
Dietel, Manfred
Denkert, Carsten
Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test
title Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test
title_full Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test
title_fullStr Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test
title_full_unstemmed Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test
title_short Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test
title_sort decentral gene expression analysis: analytical validation of the endopredict genomic multianalyte breast cancer prognosis test
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534340/
https://www.ncbi.nlm.nih.gov/pubmed/23039280
http://dx.doi.org/10.1186/1471-2407-12-456
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