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Stability of the hybrid epithelial/mesenchymal phenotype

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Jolly, Mohit Kumar, Tripathi, Satyendra C., Jia, Dongya, Mooney, Steven M., Celiktas, Muge, Hanash, Samir M., Mani, Sendurai A., Pienta, Kenneth J., Ben-Jacob, Eshel, Levine, Herbert·2016·Oncotarget

Abstract

// Mohit Kumar Jolly 1,2 , Satyendra C. Tripathi 8,* , Dongya Jia 1,5,* , Steven M. Mooney 7 , Muge Celiktas 8 , Samir M. Hanash 8,10 , Sendurai A. Mani 9,11 , Kenneth J. Pienta 12 , Eshel Ben-Jacob 1,5,6,** and Herbert Levine 1,2,3,4 1 Center for Theoretical Biological Physics, Rice University, Houston, TX, USA 2 Department of Bioengineering, Rice University, Houston, TX, USA 3 Department of Physics and Astronomy, Rice University, Houston, TX, USA 4 Department of Biosciences, Rice University, Houston, TX, USA 5 Graduate Program in Systems, Synthetic and Physical Biology, Rice University, Houston, TX, USA 6 School of Physics and Astronomy and The Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel 7 Department of Biology, University of Waterloo, Waterloo, ON, Canada 8 Department of Clinical Cancer Prevention, University of Texas MD Anderson Cancer Center, Houston, TX, USA 9 Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA 10 Red and Charline McCombs Institute for the Early Detection and Treatment of Cancer, University of Texas MD Anderson Cancer Center, Houston, TX, USA 11 Metastasis Research Center, University of Texas MD Anderson Cancer Center, Houston, TX, USA 12 The James Brady Urological Institute, and Departments of Urology, Oncology, Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA * These authors have contributed equally to this work ** Deceased on June 5, 2015 Correspondence to: Herbert Levine, email: // Keywords : partial EMT, epithelial-mesenchymal transition, cancer stem cells, multistability, cell-fate decisions Received : January 08, 2016 Accepted : March 07, 2016 Published : March 17, 2016 Abstract Epithelial-to-Mesenchymal Transition (EMT) and its reverse – Mesenchymal to Epithelial Transition (MET) – are hallmarks of cellular plasticity during embryonic development and cancer metastasis. During EMT, epithelial cells lose cell-cell adhesion and gain migratory and invasive traits either partially or completely, leading to a hybrid epithelial/mesenchymal (hybrid E/M) or a mesenchymal phenotype respectively. Mesenchymal cells move individually, but hybrid E/M cells migrate collectively as observed during gastrulation, wound healing, and the formation of tumor clusters detected as Circulating Tumor Cells (CTCs). Typically, the hybrid E/M phenotype has largely been tacitly assumed to be transient and ‘metastable’. Here, we identify certain ‘phenotypic stability factors’ (PSFs) such as GRHL2 that couple to the core EMT decision-making circuit (miR-200/ZEB) and stabilize hybrid E/M phenotype. Further, we show that H1975 lung cancer cells can display a stable hybrid E/M phenotype and migrate collectively, a behavior that is impaired by knockdown of GRHL2 and another previously identified PSF - OVOL. In addition, our computational model predicts that GRHL2 can also associate hybrid E/M phenotype with high tumor-initiating potential, a prediction strengthened by the observation that the higher levels of these PSFs may be predictive of poor patient outcome. Finally, based on these specific examples, we deduce certain network motifs that can stabilize the hybrid E/M phenotype. Our results suggest that partial EMT, i.e. a hybrid E/M phenotype, need not be ‘metastable’, and strengthen the emerging notion that partial EMT, but not necessarily a complete EMT, is associated with aggressive tumor progression.

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Metadata

Authors
Jolly, M. K., Tripathi, S. C., Jia, D., Mooney, S. M., Celiktas, M., Hanash, S. M., Mani, S. A., Pienta, K. J., Ben-Jacob, E., & Levine, H.
Venue
Oncotarget
Published
2016-03-17
Volume
7
Issue
19
Pages
27067-27084
ISSN
1949-2553 (ISSN-L)
OpenAlex
W2338391827
Cited by
436
References
11
FWCI
23.02
Type
journal article
Language
en
Open access
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