Evidence map›Paper›PMID 25928084›Full record

ArticleJournal of translational medicine2015

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

Andrea Remo, Ines Simeone, Massimo Pancione, Pietro Parcesepe, Pascal Finetti, Luigi Cerulo, Halima Bensmail, Daniel Birnbaum, Steven J Van Laere, Vittorio Colantuoni and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 41 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 5 countries.

Andrea RemoDepartment of Pathology, Mater Salutis Hospital, Legnago, Italy. remino76@yahoo.it.
Ines SimeoneDepartment of Science and Technology, University of Sannio, Benevento, Italy. inesimeone@gmail.com.
Massimo PancioneDepartment of Science and Technology, University of Sannio, Benevento, Italy. massimo.pancione@unisannio.it.
Pietro ParcesepeDepartment of Pathology and Diagnosis, University of Verona, Verona, Italy. parcesepe.pietro@gmail.com.
Pascal FinettiDepartment of Molecular Oncology, Institut Paoli-Calmettes, U1068 Inserm, Marseille, France. finettip@ipc.unicancer.fr.
Luigi CeruloDepartment of Science and Technology, University of Sannio, Benevento, Italy. luigi.cerulo@gmail.com.
Halima BensmailQatar Computing Research Institute (QCRI), Qatar Foundation, Doha, Qatar. hbensmail@qf.org.qa.
Daniel BirnbaumDepartment of Molecular Oncology, Institut Paoli-Calmettes, U1068 Inserm, Marseille, France. daniel.birnbaum@inserm.fr.
Steven J Van LaereDepartment Medical Oncology, University of Antwerp, Antwerpen, Belgium. Steven.VanLaere@gza.be.
Vittorio ColantuoniDepartment of Science and Technology, University of Sannio, Benevento, Italy. colantuoni@unisannio.it.
Franco BonettiDepartment of Pathology and Diagnosis, University of Verona, Verona, Italy. franco.bonetti@univr.it.
François BertucciDepartment of Molecular Oncology, Institut Paoli-Calmettes, U1068 Inserm, Marseille, France. bertuccif@ipc.unicancer.fr.
Erminia ManfrinDepartment of Pathology and Diagnosis, University of Verona, Verona, Italy. erminia.manfrin@univr.it.
Michele CeccarelliDepartment of Science and Technology, University of Sannio, Benevento, Italy. m.ceccarelli@gmail.com.
University of Sannio · ITInserm · FRUniversity of Verona · ITQatar Foundation · QAUniversity of Antwerp · BEYahoo (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory 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.

methodsIn-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.

resultsUsing 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.

conclusionsWe 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.

Indexed as

Gene Expression Regulation, NeoplasticAlgorithmsbeta CateninBiomarkers, TumorCell CycleCohort StudiesComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansImmunohistochemistryInflammatory Breast NeoplasmsOligonucleotide Array Sequence AnalysisPhenotypeSystems Biologybeta CateninBiomarkers, TumorCTNNB1 protein, humanNFAT5 protein, humanTranscription Factors

Identifiers

PMID25928084
PMCPMC4438533
OpenAlexW2064741113

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.