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Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer

BACKGROUND: Inflammatory breast cancer (IBC) is the most rare and aggressive variant of breast cancer (BC); however, only a limited number of specific gene signatures with low generalization abilities are available and few reliable biomarkers are helpful to improve IBC classification into a molecula...

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Autores principales: Remo, Andrea, Simeone, Ines, Pancione, Massimo, Parcesepe, Pietro, Finetti, Pascal, Cerulo, Luigi, Bensmail, Halima, Birnbaum, Daniel, Van Laere, Steven J, Colantuoni, Vittorio, Bonetti, Franco, Bertucci, François, Manfrin, Erminia, Ceccarelli, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438533/
https://www.ncbi.nlm.nih.gov/pubmed/25928084
http://dx.doi.org/10.1186/s12967-015-0492-2
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author Remo, Andrea
Simeone, Ines
Pancione, Massimo
Parcesepe, Pietro
Finetti, Pascal
Cerulo, Luigi
Bensmail, Halima
Birnbaum, Daniel
Van Laere, Steven J
Colantuoni, Vittorio
Bonetti, Franco
Bertucci, François
Manfrin, Erminia
Ceccarelli, Michele
author_facet Remo, Andrea
Simeone, Ines
Pancione, Massimo
Parcesepe, Pietro
Finetti, Pascal
Cerulo, Luigi
Bensmail, Halima
Birnbaum, Daniel
Van Laere, Steven J
Colantuoni, Vittorio
Bonetti, Franco
Bertucci, François
Manfrin, Erminia
Ceccarelli, Michele
author_sort Remo, Andrea
collection PubMed
description BACKGROUND: Inflammatory breast cancer (IBC) is the most rare and aggressive variant of breast cancer (BC); however, only a limited number of specific gene signatures with low generalization abilities are available and few reliable biomarkers are helpful to improve IBC classification into a molecularly distinct phenotype. We applied a network-based strategy to gain insight into master regulators (MRs) linked to IBC pathogenesis. METHODS: In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. Pathway enrichment analysis was used to characterize predicted targets of candidate genes. The expression pattern of the most significant MRs was then evaluated by immunohistochemistry (IHC) in two independent cohorts of IBCs (n = 39) and nIBCs (n = 82) and normal breast tissues (n = 15) spotted on tissue microarrays. The staining pattern of non-neoplastic mammary epithelial cells was used as a normal control. RESULTS: Using in-silico modeling of network-based strategy, we identified three top enriched MRs (NFAT5, CTNNB1 or β-catenin, and MGA) strongly linked to the IBC phenotype. By IHC assays, we found that IBC patients displayed a higher number of NFAT5-positive cases than nIBC (69.2% vs. 19.5%; p-value = 2.79 10(-7)). Accordingly, the majority of NFAT5-positive IBC samples revealed an aberrant nuclear expression in comparison with nIBC samples (70% vs. 12.5%; p-value = 0.000797). NFAT5 nuclear accumulation occurs regardless of WNT/β-catenin activated signaling in a substantial portion of IBCs, suggesting that NFAT5 pathway activation may have a relevant role in IBC pathogenesis. Accordingly, cytoplasmic NFAT5 and membranous β-catenin expression were preferentially linked to nIBC, accounting for the better prognosis of this phenotype. CONCLUSIONS: We provide evidence that NFAT-signaling pathway activation could help to identify aggressive forms of BC and potentially be a guide to assignment of phenotype-specific therapeutic agents. The NFAT5 transcription factor might be developed into routine clinical practice as a putative biomarker of IBC phenotype. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0492-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-44385332015-05-21 Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer Remo, Andrea Simeone, Ines Pancione, Massimo Parcesepe, Pietro Finetti, Pascal Cerulo, Luigi Bensmail, Halima Birnbaum, Daniel Van Laere, Steven J Colantuoni, Vittorio Bonetti, Franco Bertucci, François Manfrin, Erminia Ceccarelli, Michele J Transl Med Research BACKGROUND: Inflammatory breast cancer (IBC) is the most rare and aggressive variant of breast cancer (BC); however, only a limited number of specific gene signatures with low generalization abilities are available and few reliable biomarkers are helpful to improve IBC classification into a molecularly distinct phenotype. We applied a network-based strategy to gain insight into master regulators (MRs) linked to IBC pathogenesis. METHODS: In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. Pathway enrichment analysis was used to characterize predicted targets of candidate genes. The expression pattern of the most significant MRs was then evaluated by immunohistochemistry (IHC) in two independent cohorts of IBCs (n = 39) and nIBCs (n = 82) and normal breast tissues (n = 15) spotted on tissue microarrays. The staining pattern of non-neoplastic mammary epithelial cells was used as a normal control. RESULTS: Using in-silico modeling of network-based strategy, we identified three top enriched MRs (NFAT5, CTNNB1 or β-catenin, and MGA) strongly linked to the IBC phenotype. By IHC assays, we found that IBC patients displayed a higher number of NFAT5-positive cases than nIBC (69.2% vs. 19.5%; p-value = 2.79 10(-7)). Accordingly, the majority of NFAT5-positive IBC samples revealed an aberrant nuclear expression in comparison with nIBC samples (70% vs. 12.5%; p-value = 0.000797). NFAT5 nuclear accumulation occurs regardless of WNT/β-catenin activated signaling in a substantial portion of IBCs, suggesting that NFAT5 pathway activation may have a relevant role in IBC pathogenesis. Accordingly, cytoplasmic NFAT5 and membranous β-catenin expression were preferentially linked to nIBC, accounting for the better prognosis of this phenotype. CONCLUSIONS: We provide evidence that NFAT-signaling pathway activation could help to identify aggressive forms of BC and potentially be a guide to assignment of phenotype-specific therapeutic agents. The NFAT5 transcription factor might be developed into routine clinical practice as a putative biomarker of IBC phenotype. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0492-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-01 /pmc/articles/PMC4438533/ /pubmed/25928084 http://dx.doi.org/10.1186/s12967-015-0492-2 Text en © Remo et al.; licensee BioMed Central. 2015 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Remo, Andrea
Simeone, Ines
Pancione, Massimo
Parcesepe, Pietro
Finetti, Pascal
Cerulo, Luigi
Bensmail, Halima
Birnbaum, Daniel
Van Laere, Steven J
Colantuoni, Vittorio
Bonetti, Franco
Bertucci, François
Manfrin, Erminia
Ceccarelli, Michele
Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
title Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
title_full Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
title_fullStr Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
title_full_unstemmed Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
title_short Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
title_sort systems biology analysis reveals nfat5 as a novel biomarker and master regulator of inflammatory breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438533/
https://www.ncbi.nlm.nih.gov/pubmed/25928084
http://dx.doi.org/10.1186/s12967-015-0492-2
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