Volume 3 Supplement 1

Abstracts of the Breast Cancer Immunotherapy Symposium (BRECIS): Sidra Symposia Series

Open Access

Systems biology analysis of gene expression data and gene network reverse-engineering approaches reveal NFAT5 as a candidate biomarker in Inflammatory Breast Cancer

  • Andrea Remo1,
  • Ines Simeone2,
  • Massimo Pancione3,
  • Pietro Parcesepe4,
  • Pascal Finetti5,
  • Halima Bensmail2,
  • Luigi Cerulo3,
  • Vittorio Colantuoni3,
  • Daniel Birnbaum5,
  • Franco Bonetti4,
  • Francois Bertucci5,
  • Erminia Manfrin4 and
  • Michele Ceccarelli2
Contributed equally
Journal for ImmunoTherapy of Cancer20153(Suppl 1):P6

DOI: 10.1186/2051-1426-3-S1-P6

Published: 14 August 2015

Inflammatory Breast Cancer (IBC) is the most aggressive and highly metastatic form of breast cancer [13]. In a recent study [4], we analysed breast cancer with peritumoral neoplastic lymphovascular invasion (ePVI) in comparison with inflammatory breast cancer, showing that ePVI breast cancer have more clinicopathologic affinity than differences with the most aggressive cancer in the breast. Here, we aim to identify potential master regulators (MRs) that drive the expression pattern in IBC.

Transcriptomic (i.e., mRNA) data from 197 breast tumours were used for this analysis (GEO GSE23720) [5]. All tumours were classified as “IBC” (n=63) or “nIBC” (n=134). To identify novel MRs that drive the IBC phenotype, all expression data were analysed using a network-based strategy (ARACNe [6]) and Master Regulator Analysis (MRA)[7]. We chose to perform in-vivo IHC analysis, in two independent cohorts of IBCs (n = 39), nIBCs (n = 82) and normal breast tissues (n = 15), for the top significant Master Regulators: MGA, CTNNB1 and NFAT5. Biological validation confirmed that NFAT5 expression was higher in IBC than in nIBC (70% vs. 20%) and that the majority of NFAT5-positive IBC samples displayed NFAT5 nuclear expression in comparison with nIBC samples (89% vs. 12%).

We provide evidence that NFAT5 transcription factor could constitute a novel IBC biomarker that could help to identify the most aggressive forms of BC into routine clinical practice.

Notes

Authors’ Affiliations

(1)
Department of Pathology, Mater Salutis Hospital
(2)
Qatar Computing Research Institute (QCRI), Qatar Foundation
(3)
Department of Science and Technology, University of Sannio
(4)
Department of Pathology and Diagnosis, University of Verona
(5)
Department of Molecular Oncology, Institut Paoli-Calmettes

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Copyright

© Remo et al. 2015

This article is published under license to BioMed Central Ltd. 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 cited. 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.

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