4.3 Article

Stability of the hybrid epithelial/mesenchymal phenotype

期刊

ONCOTARGET
卷 7, 期 19, 页码 27067-27084

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.8166

关键词

partial EMT; epithelial-mesenchymal transition; cancer stem cells; multistability; cell-fate decisions

资金

  1. National Science Foundation (NSF) Center for Theoretical Biological Physics [NSF PHY-1427654]
  2. NSF [DMS-1361411]
  3. CPRIT
  4. Tauber Family Funds
  5. Maguy-Glass Chair in Physics of Complex Systems
  6. National Institutes of Health [5RO1CA155243]
  7. Rubenstein Family Foundation
  8. Canary Foundation
  9. National Cancer Institute (NCI) [U54CA143803, CA163124, CA093900, CA143055]
  10. Direct For Mathematical & Physical Scien
  11. Division Of Mathematical Sciences [1361411] Funding Source: National Science Foundation
  12. Direct For Mathematical & Physical Scien
  13. Division Of Physics [1427654] Funding Source: National Science Foundation

向作者/读者索取更多资源

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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