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c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays

Inflammatory breast carcinoma (IBC) is a rare but aggressive tumour associated with poor outcome owing to early metastases. Increased expression of c-Met protein correlates with reduced survival and high metastatic risk in human cancers including breast carcinomas and is targetable by specific drugs...

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Autores principales: Garcia, S, Dalès, J-P, Jacquemier, J, Charafe-Jauffret, E, Birnbaum, D, Andrac-Meyer, L, Lavaut, M-N, Allasia, C, Carpentier-Meunier, S, Bonnier, P, Charpin-Taranger, C
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2359990/
https://www.ncbi.nlm.nih.gov/pubmed/17242702
http://dx.doi.org/10.1038/sj.bjc.6603569
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author Garcia, S
Dalès, J-P
Jacquemier, J
Charafe-Jauffret, E
Birnbaum, D
Andrac-Meyer, L
Lavaut, M-N
Allasia, C
Carpentier-Meunier, S
Bonnier, P
Charpin-Taranger, C
author_facet Garcia, S
Dalès, J-P
Jacquemier, J
Charafe-Jauffret, E
Birnbaum, D
Andrac-Meyer, L
Lavaut, M-N
Allasia, C
Carpentier-Meunier, S
Bonnier, P
Charpin-Taranger, C
author_sort Garcia, S
collection PubMed
description Inflammatory breast carcinoma (IBC) is a rare but aggressive tumour associated with poor outcome owing to early metastases. Increased expression of c-Met protein correlates with reduced survival and high metastatic risk in human cancers including breast carcinomas and is targetable by specific drugs, that could potentially improve the prognosis. In the present study, we compared c-Met expression in IBC (n=41) and non-IBC (n=480) immunohistochemically (Ventana Benchmark autostainer) in two tissue microarrays (TMA) along with PI3K and E-cadherin. The results were quantified through an automated image analysis device (SAMBA Technologies). We observed that (i) c-Met was significantly overexpressed in IBC as compared with non-IBC (P<0.001), (ii) PI3K was overexpressed (P<0.001) in IBC, suggesting that the overexpressed c-Met is functionally active at least through the PI3K signal transduction pathway; and (iii) E-cadherin was paradoxically also overexpressed in IBC. We concluded that overexpressed c-Met in IBC constitutes a potential target for specific therapy for the management of patients with poor-outcome tumours such as IBC. Automated image analysis of TMA proved to be a valuable tool for high-throughput immunohistochemical quantification of the expression of intratumorous protein markers.
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spelling pubmed-23599902009-09-10 c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays Garcia, S Dalès, J-P Jacquemier, J Charafe-Jauffret, E Birnbaum, D Andrac-Meyer, L Lavaut, M-N Allasia, C Carpentier-Meunier, S Bonnier, P Charpin-Taranger, C Br J Cancer Molecular Diagnostics Inflammatory breast carcinoma (IBC) is a rare but aggressive tumour associated with poor outcome owing to early metastases. Increased expression of c-Met protein correlates with reduced survival and high metastatic risk in human cancers including breast carcinomas and is targetable by specific drugs, that could potentially improve the prognosis. In the present study, we compared c-Met expression in IBC (n=41) and non-IBC (n=480) immunohistochemically (Ventana Benchmark autostainer) in two tissue microarrays (TMA) along with PI3K and E-cadherin. The results were quantified through an automated image analysis device (SAMBA Technologies). We observed that (i) c-Met was significantly overexpressed in IBC as compared with non-IBC (P<0.001), (ii) PI3K was overexpressed (P<0.001) in IBC, suggesting that the overexpressed c-Met is functionally active at least through the PI3K signal transduction pathway; and (iii) E-cadherin was paradoxically also overexpressed in IBC. We concluded that overexpressed c-Met in IBC constitutes a potential target for specific therapy for the management of patients with poor-outcome tumours such as IBC. Automated image analysis of TMA proved to be a valuable tool for high-throughput immunohistochemical quantification of the expression of intratumorous protein markers. Nature Publishing Group 2007-01-29 2007-01-23 /pmc/articles/PMC2359990/ /pubmed/17242702 http://dx.doi.org/10.1038/sj.bjc.6603569 Text en Copyright © 2007 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Molecular Diagnostics
Garcia, S
Dalès, J-P
Jacquemier, J
Charafe-Jauffret, E
Birnbaum, D
Andrac-Meyer, L
Lavaut, M-N
Allasia, C
Carpentier-Meunier, S
Bonnier, P
Charpin-Taranger, C
c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
title c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
title_full c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
title_fullStr c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
title_full_unstemmed c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
title_short c-Met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
title_sort c-met overexpression in inflammatory breast carcinomas: automated quantification on tissue microarrays
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2359990/
https://www.ncbi.nlm.nih.gov/pubmed/17242702
http://dx.doi.org/10.1038/sj.bjc.6603569
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