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A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome
Currently, very few prognosticators accurately predict metastasis in cancer patients. In order to complete the metastatic cascade and successfully colonize distant sites, carcinoma cells undergo dynamic epithelial-mesenchymal-transition (EMT) and its reversal, mesenchymal-epithelial-transition (MET)...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485318/ https://www.ncbi.nlm.nih.gov/pubmed/26123483 http://dx.doi.org/10.1038/srep11766 |
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author | Soundararajan, Rama Paranjape, Anurag N. Barsan, Valentin Chang, Jeffrey T. Mani, Sendurai A. |
author_facet | Soundararajan, Rama Paranjape, Anurag N. Barsan, Valentin Chang, Jeffrey T. Mani, Sendurai A. |
author_sort | Soundararajan, Rama |
collection | PubMed |
description | Currently, very few prognosticators accurately predict metastasis in cancer patients. In order to complete the metastatic cascade and successfully colonize distant sites, carcinoma cells undergo dynamic epithelial-mesenchymal-transition (EMT) and its reversal, mesenchymal-epithelial-transition (MET). While EMT-centric signatures correlate with response to therapy, they are unable to predict metastatic outcome. One reason is due to the wide range of transient phenotypes required for a tumor cell to disseminate and recreate a similar histology at distant sites. Since such dynamic cellular processes are also seen during embryo development (epithelial-like epiblast cells undergo transient EMT to generate the mesoderm, which eventually redifferentiates into epithelial tissues by MET), we sought to utilize this unique and highly conserved property of cellular plasticity to predict metastasis. Here we present the identification of a novel prognostic gene expression signature derived from mouse embryonic day 6.5 that is representative of extensive cellular plasticity, and predicts metastatic competence in human breast tumor cells. This signature may thus complement conventional clinical parameters to offer accurate prediction for outcome among multiple classes of breast cancer patients. |
format | Online Article Text |
id | pubmed-4485318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44853182015-07-08 A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome Soundararajan, Rama Paranjape, Anurag N. Barsan, Valentin Chang, Jeffrey T. Mani, Sendurai A. Sci Rep Article Currently, very few prognosticators accurately predict metastasis in cancer patients. In order to complete the metastatic cascade and successfully colonize distant sites, carcinoma cells undergo dynamic epithelial-mesenchymal-transition (EMT) and its reversal, mesenchymal-epithelial-transition (MET). While EMT-centric signatures correlate with response to therapy, they are unable to predict metastatic outcome. One reason is due to the wide range of transient phenotypes required for a tumor cell to disseminate and recreate a similar histology at distant sites. Since such dynamic cellular processes are also seen during embryo development (epithelial-like epiblast cells undergo transient EMT to generate the mesoderm, which eventually redifferentiates into epithelial tissues by MET), we sought to utilize this unique and highly conserved property of cellular plasticity to predict metastasis. Here we present the identification of a novel prognostic gene expression signature derived from mouse embryonic day 6.5 that is representative of extensive cellular plasticity, and predicts metastatic competence in human breast tumor cells. This signature may thus complement conventional clinical parameters to offer accurate prediction for outcome among multiple classes of breast cancer patients. Nature Publishing Group 2015-06-30 /pmc/articles/PMC4485318/ /pubmed/26123483 http://dx.doi.org/10.1038/srep11766 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Soundararajan, Rama Paranjape, Anurag N. Barsan, Valentin Chang, Jeffrey T. Mani, Sendurai A. A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
title | A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
title_full | A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
title_fullStr | A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
title_full_unstemmed | A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
title_short | A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
title_sort | novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485318/ https://www.ncbi.nlm.nih.gov/pubmed/26123483 http://dx.doi.org/10.1038/srep11766 |
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