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

<h3>Background</h3><p dir="ltr">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 helpf...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Andrea Remo (447375) (author)
مؤلفون آخرون: Ines Simeone (15239242) (author), Massimo Pancione (235937) (author), Pietro Parcesepe (3439901) (author), Pascal Finetti (65359) (author), Luigi Cerulo (447376) (author), Halima Bensmail (10400) (author), Daniel Birnbaum (63368) (author), Steven J Van Laere (19568752) (author), Vittorio Colantuoni (235950) (author), Franco Bonetti (3580025) (author), François Bertucci (93540) (author), Erminia Manfrin (447377) (author), Michele Ceccarelli (184154) (author)
منشور في: 2015
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author Andrea Remo (447375)
author2 Ines Simeone (15239242)
Massimo Pancione (235937)
Pietro Parcesepe (3439901)
Pascal Finetti (65359)
Luigi Cerulo (447376)
Halima Bensmail (10400)
Daniel Birnbaum (63368)
Steven J Van Laere (19568752)
Vittorio Colantuoni (235950)
Franco Bonetti (3580025)
François Bertucci (93540)
Erminia Manfrin (447377)
Michele Ceccarelli (184154)
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Andrea Remo (447375)
Ines Simeone (15239242)
Massimo Pancione (235937)
Pietro Parcesepe (3439901)
Pascal Finetti (65359)
Luigi Cerulo (447376)
Halima Bensmail (10400)
Daniel Birnbaum (63368)
Steven J Van Laere (19568752)
Vittorio Colantuoni (235950)
Franco Bonetti (3580025)
François Bertucci (93540)
Erminia Manfrin (447377)
Michele Ceccarelli (184154)
author_role author
dc.creator.none.fl_str_mv Andrea Remo (447375)
Ines Simeone (15239242)
Massimo Pancione (235937)
Pietro Parcesepe (3439901)
Pascal Finetti (65359)
Luigi Cerulo (447376)
Halima Bensmail (10400)
Daniel Birnbaum (63368)
Steven J Van Laere (19568752)
Vittorio Colantuoni (235950)
Franco Bonetti (3580025)
François Bertucci (93540)
Erminia Manfrin (447377)
Michele Ceccarelli (184154)
dc.date.none.fl_str_mv 2015-05-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1186/s12967-015-0492-2
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Systems_biology_analysis_reveals_NFAT5_as_a_novel_biomarker_and_master_regulator_of_inflammatory_breast_cancer/26974774
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Biochemistry and cell biology
Bioinformatics and computational biology
Genetics
Biomedical and clinical sciences
Clinical sciences
Oncology and carcinogenesis
Inflammatory breast cancer
Gene regulatory network
Systems biology
NFAT5
MGA
CTNNB1
dc.title.none.fl_str_mv Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background</h3><p dir="ltr">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. </p><h3>Methods</h3><p dir="ltr">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. </p><h3>Results</h3><p dir="ltr">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. </p><h3>Conclusions</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Translational Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12967-015-0492-2" target="_blank">https://dx.doi.org/10.1186/s12967-015-0492-2</a></p>
eu_rights_str_mv openAccess
id Manara2_02d4fcc530ea9f1e51cffbcee8250398
identifier_str_mv 10.1186/s12967-015-0492-2
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oai_identifier_str oai:figshare.com:article/26974774
publishDate 2015
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rights_invalid_str_mv CC BY 4.0
spelling Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancerAndrea Remo (447375)Ines Simeone (15239242)Massimo Pancione (235937)Pietro Parcesepe (3439901)Pascal Finetti (65359)Luigi Cerulo (447376)Halima Bensmail (10400)Daniel Birnbaum (63368)Steven J Van Laere (19568752)Vittorio Colantuoni (235950)Franco Bonetti (3580025)François Bertucci (93540)Erminia Manfrin (447377)Michele Ceccarelli (184154)Biological sciencesBiochemistry and cell biologyBioinformatics and computational biologyGeneticsBiomedical and clinical sciencesClinical sciencesOncology and carcinogenesisInflammatory breast cancerGene regulatory networkSystems biologyNFAT5MGACTNNB1<h3>Background</h3><p dir="ltr">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. </p><h3>Methods</h3><p dir="ltr">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. </p><h3>Results</h3><p dir="ltr">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. </p><h3>Conclusions</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Translational Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12967-015-0492-2" target="_blank">https://dx.doi.org/10.1186/s12967-015-0492-2</a></p>2015-05-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s12967-015-0492-2https://figshare.com/articles/journal_contribution/Systems_biology_analysis_reveals_NFAT5_as_a_novel_biomarker_and_master_regulator_of_inflammatory_breast_cancer/26974774CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/269747742015-05-01T00:00:00Z
spellingShingle Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
Andrea Remo (447375)
Biological sciences
Biochemistry and cell biology
Bioinformatics and computational biology
Genetics
Biomedical and clinical sciences
Clinical sciences
Oncology and carcinogenesis
Inflammatory breast cancer
Gene regulatory network
Systems biology
NFAT5
MGA
CTNNB1
status_str publishedVersion
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 Biological sciences
Biochemistry and cell biology
Bioinformatics and computational biology
Genetics
Biomedical and clinical sciences
Clinical sciences
Oncology and carcinogenesis
Inflammatory breast cancer
Gene regulatory network
Systems biology
NFAT5
MGA
CTNNB1