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Open Access 01-03-2012 | Original Article

Decentral gene expression analysis for ER+/Her2− breast cancer: results of a proficiency testing program for the EndoPredict assay

Authors: Carsten Denkert, Ralf Kronenwett, Werner Schlake, Kerstin Bohmann, Roland Penzel, Karsten E. Weber, Heinz Höfler, Ulrich Lehmann, Peter Schirmacher, Katja Specht, Margaretha Rudas, Hans-Heinrich Kreipe, Peter Schraml, Gudrun Schlake, Zsuzsanna Bago-Horvath, Frank Tiecke, Zsuzsanna Varga, Holger Moch, Marcus Schmidt, Judith Prinzler, Dontscho Kerjaschki, Bruno Valentin Sinn, Berit Maria Müller, Martin Filipits, Christoph Petry, Manfred Dietel

Published in: Virchows Archiv | Issue 3/2012

Abstract

Gene expression profiles provide important information about the biology of breast tumors and can be used to develop prognostic tests. However, the implementation of quantitative RNA-based testing in routine molecular pathology has not been accomplished, so far. The EndoPredict assay has recently been described as a quantitative RT-PCR-based multigene expression test to identify a subgroup of hormone–receptor-positive tumors that have an excellent prognosis with endocrine therapy only. To transfer this test from bench to bedside, it is essential to evaluate the test–performance in a multicenter setting in different molecular pathology laboratories. In this study, we have evaluated the EndoPredict (EP) assay in seven different molecular pathology laboratories in Germany, Austria, and Switzerland. A set of ten formalin-fixed paraffin-embedded tumors was tested in the different labs, and the variance and accuracy of the EndoPredict assays were determined using predefined reference values. Extraction of a sufficient amount of RNA and generation of a valid EP score was possible for all 70 study samples (100%). The EP scores measured by the individual participants showed an excellent correlation with the reference values, respectively, as reflected by Pearson correlation coefficients ranging from 0.987 to 0.999. The Pearson correlation coefficient of all values compared to the reference value was 0.994. All laboratories determined EP scores for all samples differing not more than 1.0 score units from the pre-defined references. All samples were assigned to the correct EP risk group, resulting in a sensitivity and specificity of 100%, a concordance of 100%, and a kappa of 1.0. Taken together, the EndoPredict test could be successfully implemented in all seven participating laboratories and is feasible for reliable decentralized assessment of gene expression in luminal breast cancer.

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Title: Decentral gene expression analysis for ER+/Her2− breast cancer: results of a proficiency testing program for the EndoPredict assay
Authors: Carsten Denkert
Ralf Kronenwett
Werner Schlake
Kerstin Bohmann
Roland Penzel
Karsten E. Weber
Heinz Höfler
Ulrich Lehmann
Peter Schirmacher
Katja Specht
Margaretha Rudas
Hans-Heinrich Kreipe
Peter Schraml
Gudrun Schlake
Zsuzsanna Bago-Horvath
Frank Tiecke
Zsuzsanna Varga
Holger Moch
Marcus Schmidt
Judith Prinzler
Dontscho Kerjaschki
Bruno Valentin Sinn
Berit Maria Müller
Martin Filipits
Christoph Petry
Manfred Dietel
Publication date: 01-03-2012
Publisher: Springer-Verlag
Published in: Virchows Archiv / Issue 3/2012
Print ISSN: 0945-6317
Electronic ISSN: 1432-2307
DOI: https://doi.org/10.1007/s00428-012-1204-4

ACC 2024 Congress

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Decentral gene expression analysis for ER+/Her2− breast cancer: results of a proficiency testing program for the EndoPredict assay

Abstract

ACC 2024 Congress

Springer Medicine

Abstract

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