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Gene expression information improves reliability of receptor status in breast cancer patients

Immunohistochemical (IHC) determination of receptor status in breast cancer patients is frequently inaccurate. Since it directs the choice of systemic therapy, it is essential to increase its reliability. We increase the validity of IHC receptor expression by additionally considering gene expression...

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Autores principales: Kenn, Michael, Schlangen, Karin, Castillo-Tong, Dan Cacsire, Singer, Christian F., Cibena, Michael, Koelbl, Heinz, Schreiner, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652334/
https://www.ncbi.nlm.nih.gov/pubmed/29100391
http://dx.doi.org/10.18632/oncotarget.20474
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author Kenn, Michael
Schlangen, Karin
Castillo-Tong, Dan Cacsire
Singer, Christian F.
Cibena, Michael
Koelbl, Heinz
Schreiner, Wolfgang
author_facet Kenn, Michael
Schlangen, Karin
Castillo-Tong, Dan Cacsire
Singer, Christian F.
Cibena, Michael
Koelbl, Heinz
Schreiner, Wolfgang
author_sort Kenn, Michael
collection PubMed
description Immunohistochemical (IHC) determination of receptor status in breast cancer patients is frequently inaccurate. Since it directs the choice of systemic therapy, it is essential to increase its reliability. We increase the validity of IHC receptor expression by additionally considering gene expression (GE) measurements. Crisp therapeutic decisions are based on IHC estimates, even if they are borderline reliable. We further improve decision quality by a responsibility function, defining a critical domain for gene expression. Refined normalization is devised to file any newly diagnosed patient into existing data bases. Our approach renders receptor estimates more reliable by identifying patients with questionable receptor status. The approach is also more efficient since the rate of conclusive samples is increased. We have curated and evaluated gene expression data, together with clinical information, from 2880 breast cancer patients. Combining IHC with gene expression information yields a method more reliable and also more efficient as compared to common practice up to now. Several types of possibly suboptimal treatment allocations, based on IHC receptor status alone, are enumerated. A ‘therapy allocation check’ identifies patients possibly miss-classified. Estrogen: false negative 8%, false positive 6%. Progesterone: false negative 14%, false positive 11%. HER2: false negative 2%, false positive 50%. Possible implications are discussed. We propose an ‘expression look-up-plot’, allowing for a significant potential to improve the quality of precision medicine. Methods are developed and exemplified here for breast cancer patients, but they may readily be transferred to diagnostic data relevant for therapeutic decisions in other fields of oncology.
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spelling pubmed-56523342017-11-02 Gene expression information improves reliability of receptor status in breast cancer patients Kenn, Michael Schlangen, Karin Castillo-Tong, Dan Cacsire Singer, Christian F. Cibena, Michael Koelbl, Heinz Schreiner, Wolfgang Oncotarget Research Paper Immunohistochemical (IHC) determination of receptor status in breast cancer patients is frequently inaccurate. Since it directs the choice of systemic therapy, it is essential to increase its reliability. We increase the validity of IHC receptor expression by additionally considering gene expression (GE) measurements. Crisp therapeutic decisions are based on IHC estimates, even if they are borderline reliable. We further improve decision quality by a responsibility function, defining a critical domain for gene expression. Refined normalization is devised to file any newly diagnosed patient into existing data bases. Our approach renders receptor estimates more reliable by identifying patients with questionable receptor status. The approach is also more efficient since the rate of conclusive samples is increased. We have curated and evaluated gene expression data, together with clinical information, from 2880 breast cancer patients. Combining IHC with gene expression information yields a method more reliable and also more efficient as compared to common practice up to now. Several types of possibly suboptimal treatment allocations, based on IHC receptor status alone, are enumerated. A ‘therapy allocation check’ identifies patients possibly miss-classified. Estrogen: false negative 8%, false positive 6%. Progesterone: false negative 14%, false positive 11%. HER2: false negative 2%, false positive 50%. Possible implications are discussed. We propose an ‘expression look-up-plot’, allowing for a significant potential to improve the quality of precision medicine. Methods are developed and exemplified here for breast cancer patients, but they may readily be transferred to diagnostic data relevant for therapeutic decisions in other fields of oncology. Impact Journals LLC 2017-08-24 /pmc/articles/PMC5652334/ /pubmed/29100391 http://dx.doi.org/10.18632/oncotarget.20474 Text en Copyright: © 2017 Kenn et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Kenn, Michael
Schlangen, Karin
Castillo-Tong, Dan Cacsire
Singer, Christian F.
Cibena, Michael
Koelbl, Heinz
Schreiner, Wolfgang
Gene expression information improves reliability of receptor status in breast cancer patients
title Gene expression information improves reliability of receptor status in breast cancer patients
title_full Gene expression information improves reliability of receptor status in breast cancer patients
title_fullStr Gene expression information improves reliability of receptor status in breast cancer patients
title_full_unstemmed Gene expression information improves reliability of receptor status in breast cancer patients
title_short Gene expression information improves reliability of receptor status in breast cancer patients
title_sort gene expression information improves reliability of receptor status in breast cancer patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652334/
https://www.ncbi.nlm.nih.gov/pubmed/29100391
http://dx.doi.org/10.18632/oncotarget.20474
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