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Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer
PURPOSE: To compare the concordance in risk classification between the EndoPredict and the MammaPrint scores obtained for the same cancer samples on 40 estrogen-receptor positive/HER2-negative breast carcinomas. METHODS: Formalin-fixed, paraffin-embedded invasive breast carcinoma tissues that were p...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590847/ https://www.ncbi.nlm.nih.gov/pubmed/28886093 http://dx.doi.org/10.1371/journal.pone.0183452 |
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author | Peláez-García, Alberto Yébenes, Laura Berjón, Alberto Angulo, Antonia Zamora, Pilar Sánchez-Méndez, José Ignacio Espinosa, Enrique Redondo, Andrés Heredia-Soto, Victoria Mendiola, Marta Feliú, Jaime Hardisson, David |
author_facet | Peláez-García, Alberto Yébenes, Laura Berjón, Alberto Angulo, Antonia Zamora, Pilar Sánchez-Méndez, José Ignacio Espinosa, Enrique Redondo, Andrés Heredia-Soto, Victoria Mendiola, Marta Feliú, Jaime Hardisson, David |
author_sort | Peláez-García, Alberto |
collection | PubMed |
description | PURPOSE: To compare the concordance in risk classification between the EndoPredict and the MammaPrint scores obtained for the same cancer samples on 40 estrogen-receptor positive/HER2-negative breast carcinomas. METHODS: Formalin-fixed, paraffin-embedded invasive breast carcinoma tissues that were previously analyzed with MammaPrint as part of routine care of the patients, and were classified as high-risk (20 patients) and low-risk (20 patients), were selected to be analyzed by the EndoPredict assay, a second generation gene expression test that combines expression of 8 genes (EP score) with two clinicopathological variables (tumor size and nodal status, EPclin score). RESULTS: The EP score classified 15 patients as low-risk and 25 patients as high-risk. EPclin re-classified 5 of the 25 EP high-risk patients into low-risk, resulting in a total of 20 high-risk and 20 low-risk tumors. EP score and MammaPrint score were significantly correlated (p = 0.008). Twelve of 20 samples classified as low-risk by MammaPrint were also low-risk by EP score (60%). 17 of 20 MammaPrint high-risk tumors were also high-risk by EP score. The overall concordance between EP score and MammaPrint was 72.5% (κ = 0.45, (95% CI, 0.182 to 0.718)). EPclin score also correlated with MammaPrint results (p = 0.004). Discrepancies between both tests occurred in 10 cases: 5 MammaPrint low-risk patients were classified as EPclin high-risk and 5 high-risk MammaPrint were classified as low-risk by EPclin and overall concordance of 75% (κ = 0.5, (95% CI, 0.232 to 0.768)). CONCLUSIONS: This pilot study demonstrates a limited concordance between MammaPrint and EndoPredict. Differences in results could be explained by the inclusion of different gene sets in each platform, the use of different methodology, and the inclusion of clinicopathological parameters, such as tumor size and nodal status, in the EndoPredict test. |
format | Online Article Text |
id | pubmed-5590847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55908472017-09-15 Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer Peláez-García, Alberto Yébenes, Laura Berjón, Alberto Angulo, Antonia Zamora, Pilar Sánchez-Méndez, José Ignacio Espinosa, Enrique Redondo, Andrés Heredia-Soto, Victoria Mendiola, Marta Feliú, Jaime Hardisson, David PLoS One Research Article PURPOSE: To compare the concordance in risk classification between the EndoPredict and the MammaPrint scores obtained for the same cancer samples on 40 estrogen-receptor positive/HER2-negative breast carcinomas. METHODS: Formalin-fixed, paraffin-embedded invasive breast carcinoma tissues that were previously analyzed with MammaPrint as part of routine care of the patients, and were classified as high-risk (20 patients) and low-risk (20 patients), were selected to be analyzed by the EndoPredict assay, a second generation gene expression test that combines expression of 8 genes (EP score) with two clinicopathological variables (tumor size and nodal status, EPclin score). RESULTS: The EP score classified 15 patients as low-risk and 25 patients as high-risk. EPclin re-classified 5 of the 25 EP high-risk patients into low-risk, resulting in a total of 20 high-risk and 20 low-risk tumors. EP score and MammaPrint score were significantly correlated (p = 0.008). Twelve of 20 samples classified as low-risk by MammaPrint were also low-risk by EP score (60%). 17 of 20 MammaPrint high-risk tumors were also high-risk by EP score. The overall concordance between EP score and MammaPrint was 72.5% (κ = 0.45, (95% CI, 0.182 to 0.718)). EPclin score also correlated with MammaPrint results (p = 0.004). Discrepancies between both tests occurred in 10 cases: 5 MammaPrint low-risk patients were classified as EPclin high-risk and 5 high-risk MammaPrint were classified as low-risk by EPclin and overall concordance of 75% (κ = 0.5, (95% CI, 0.232 to 0.768)). CONCLUSIONS: This pilot study demonstrates a limited concordance between MammaPrint and EndoPredict. Differences in results could be explained by the inclusion of different gene sets in each platform, the use of different methodology, and the inclusion of clinicopathological parameters, such as tumor size and nodal status, in the EndoPredict test. Public Library of Science 2017-09-08 /pmc/articles/PMC5590847/ /pubmed/28886093 http://dx.doi.org/10.1371/journal.pone.0183452 Text en © 2017 Peláez-García et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Peláez-García, Alberto Yébenes, Laura Berjón, Alberto Angulo, Antonia Zamora, Pilar Sánchez-Méndez, José Ignacio Espinosa, Enrique Redondo, Andrés Heredia-Soto, Victoria Mendiola, Marta Feliú, Jaime Hardisson, David Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer |
title | Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer |
title_full | Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer |
title_fullStr | Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer |
title_full_unstemmed | Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer |
title_short | Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer |
title_sort | comparison of risk classification between endopredict and mammaprint in er-positive/her2-negative primary invasive breast cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590847/ https://www.ncbi.nlm.nih.gov/pubmed/28886093 http://dx.doi.org/10.1371/journal.pone.0183452 |
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