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HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status

Overexpression of HER2 is an important prognostic marker, and the only predictive biomarker of response to HER2-targeted therapies in invasive breast cancer. HER2-HER3 dimer has been shown to drive proliferation and tumor progression, and targeting of this dimer with pertuzumab alongside chemotherap...

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Autores principales: Weitsman, Gregory, Barber, Paul R., Nguyen, Lan K., Lawler, Katherine, Patel, Gargi, Woodman, Natalie, Kelleher, Muireann T., Pinder, Sarah E., Rowley, Mark, Ellis, Paul A., Purushotham, Anand D., Coolen, Anthonius C., Kholodenko, Boris N., Vojnovic, Borivoj, Gillett, Cheryl, Ng, Tony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5239455/
https://www.ncbi.nlm.nih.gov/pubmed/27618787
http://dx.doi.org/10.18632/oncotarget.9963
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author Weitsman, Gregory
Barber, Paul R.
Nguyen, Lan K.
Lawler, Katherine
Patel, Gargi
Woodman, Natalie
Kelleher, Muireann T.
Pinder, Sarah E.
Rowley, Mark
Ellis, Paul A.
Purushotham, Anand D.
Coolen, Anthonius C.
Kholodenko, Boris N.
Vojnovic, Borivoj
Gillett, Cheryl
Ng, Tony
author_facet Weitsman, Gregory
Barber, Paul R.
Nguyen, Lan K.
Lawler, Katherine
Patel, Gargi
Woodman, Natalie
Kelleher, Muireann T.
Pinder, Sarah E.
Rowley, Mark
Ellis, Paul A.
Purushotham, Anand D.
Coolen, Anthonius C.
Kholodenko, Boris N.
Vojnovic, Borivoj
Gillett, Cheryl
Ng, Tony
author_sort Weitsman, Gregory
collection PubMed
description Overexpression of HER2 is an important prognostic marker, and the only predictive biomarker of response to HER2-targeted therapies in invasive breast cancer. HER2-HER3 dimer has been shown to drive proliferation and tumor progression, and targeting of this dimer with pertuzumab alongside chemotherapy and trastuzumab, has shown significant clinical utility. The purpose of this study was to accurately quantify HER2-HER3 dimerisation in formalin fixed paraffin embedded (FFPE) breast cancer tissue as a novel prognostic biomarker. FFPE tissues were obtained from patients included in the METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) study. HER2-HER3 dimerisation was quantified using an improved fluorescence lifetime imaging microscopy (FLIM) histology-based analysis. Analysis of 131 tissue microarray cores demonstrated that the extent of HER2-HER3 dimer formation as measured by Förster Resonance Energy Transfer (FRET) determined through FLIM predicts the likelihood of metastatic relapse up to 10 years after surgery (hazard ratio 3.91 (1.61–9.5), p = 0.003) independently of HER2 expression, in a multivariate model. Interestingly there was no correlation between the level of HER2 protein expressed and HER2-HER3 heterodimer formation. We used a mathematical model that takes into account the complex interactions in a network of all four HER proteins to explain this counterintuitive finding. Future utility of this technique may highlight a group of patients who do not overexpress HER2 protein but are nevertheless dependent on the HER2-HER3 heterodimer as driver of proliferation. This assay could, if validated in a group of patients treated with, for instance pertuzumab, be used as a predictive biomarker to predict for response to such targeted therapies.
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spelling pubmed-52394552017-01-24 HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status Weitsman, Gregory Barber, Paul R. Nguyen, Lan K. Lawler, Katherine Patel, Gargi Woodman, Natalie Kelleher, Muireann T. Pinder, Sarah E. Rowley, Mark Ellis, Paul A. Purushotham, Anand D. Coolen, Anthonius C. Kholodenko, Boris N. Vojnovic, Borivoj Gillett, Cheryl Ng, Tony Oncotarget Research Paper Overexpression of HER2 is an important prognostic marker, and the only predictive biomarker of response to HER2-targeted therapies in invasive breast cancer. HER2-HER3 dimer has been shown to drive proliferation and tumor progression, and targeting of this dimer with pertuzumab alongside chemotherapy and trastuzumab, has shown significant clinical utility. The purpose of this study was to accurately quantify HER2-HER3 dimerisation in formalin fixed paraffin embedded (FFPE) breast cancer tissue as a novel prognostic biomarker. FFPE tissues were obtained from patients included in the METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) study. HER2-HER3 dimerisation was quantified using an improved fluorescence lifetime imaging microscopy (FLIM) histology-based analysis. Analysis of 131 tissue microarray cores demonstrated that the extent of HER2-HER3 dimer formation as measured by Förster Resonance Energy Transfer (FRET) determined through FLIM predicts the likelihood of metastatic relapse up to 10 years after surgery (hazard ratio 3.91 (1.61–9.5), p = 0.003) independently of HER2 expression, in a multivariate model. Interestingly there was no correlation between the level of HER2 protein expressed and HER2-HER3 heterodimer formation. We used a mathematical model that takes into account the complex interactions in a network of all four HER proteins to explain this counterintuitive finding. Future utility of this technique may highlight a group of patients who do not overexpress HER2 protein but are nevertheless dependent on the HER2-HER3 heterodimer as driver of proliferation. This assay could, if validated in a group of patients treated with, for instance pertuzumab, be used as a predictive biomarker to predict for response to such targeted therapies. Impact Journals LLC 2016-07-07 /pmc/articles/PMC5239455/ /pubmed/27618787 http://dx.doi.org/10.18632/oncotarget.9963 Text en Copyright: © 2016 Weitsman et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Weitsman, Gregory
Barber, Paul R.
Nguyen, Lan K.
Lawler, Katherine
Patel, Gargi
Woodman, Natalie
Kelleher, Muireann T.
Pinder, Sarah E.
Rowley, Mark
Ellis, Paul A.
Purushotham, Anand D.
Coolen, Anthonius C.
Kholodenko, Boris N.
Vojnovic, Borivoj
Gillett, Cheryl
Ng, Tony
HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
title HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
title_full HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
title_fullStr HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
title_full_unstemmed HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
title_short HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
title_sort her2-her3 dimer quantification by flim-fret predicts breast cancer metastatic relapse independently of her2 ihc status
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5239455/
https://www.ncbi.nlm.nih.gov/pubmed/27618787
http://dx.doi.org/10.18632/oncotarget.9963
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