Abstract

Metastasis remains an unsolved clinical challenge. Two crucial features of metastasizing cancer cells are (a) their ability to dynamically move along the epithelial–hybrid–mesenchymal spectrum and (b) their tumor initiation potential or stemness. With increasing functional characterization of hybrid epithelial/mesenchymal (E/M) phenotypes along the spectrum, recent in vitro and in vivo studies have suggested an increasing association of hybrid E/M phenotypes with stemness. However, the mechanistic underpinnings enabling this association remain unclear. Here, we develop a mechanism-based mathematical modeling framework that interrogates the emergent nonlinear dynamics of the coupled network modules regulating E/M plasticity (miR-200/ZEB) and stemness (LIN28/let-7). Simulating the dynamics of this coupled network across a large ensemble of parameter sets, we observe that hybrid E/M phenotype(s) are more likely to acquire stemness relative to “pure” epithelial or mesenchymal states. We also integrate multiple “phenotypic stability factors” (PSFs) that have been shown to stabilize hybrid E/M phenotypes both in silico and in vitro—such as OVOL1/2, GRHL2, and NRF2—with this network, and demonstrate that the enrichment of hybrid E/M phenotype(s) with stemness is largely conserved in the presence of these PSFs. Thus, our results offer mechanistic insights into recent experimental observations of hybrid E/M phenotype(s) that are essential for tumor initiation and highlight how this feature is embedded in the underlying topology of interconnected EMT (Epithelial-Mesenchymal Transition) and stemness networks.

Highlights

  • Metastasis is the deadliest process in cancer, and it is involved in over 90% of all cancer-related deaths

  • To unravel the mechanistic underpinnings of the association between stemness and epithelial–mesenchymal plasticity (EMP), we considered the regulatory interactions among key factors implicated in governing the E/M plasticity (ZEB/miR-200) and the stemness characteristics (LIN28/let-7) (Figure 1A)

  • AndPSFs p2 for all circuits with the two hybrid clusters hm) taken to(see Supplementary Section S2.3 for details on the multistable distributions). These results suggest that incorporating any of these phenotypic stability factors” (PSFs) (GRHL2, OVOL, NRF2) tends to maintain the four clusters seen in the EMP–stemness coupled network earlier, and their over-expression can serve as a way to at least inhibit the progression of a complete epithelial–mesenchymal transition (EMT)

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Summary

Introduction

Metastasis is the deadliest process in cancer, and it is involved in over 90% of all cancer-related deaths It is a dynamic multi-stage cascade of events involving the initial detachment of cells from the primary tumor mass, dissemination of cancer cells, their exit (extravasation) at many distant organs, and their ability to colonize distant organs through tumor outgrowth [1]. Phenotypic plasticity exists at multiple interconnected axes (a) epithelial–mesenchymal plasticity (EMP), (b) metabolic plasticity, and (c) plasticity between a cancer stem cell (CSC) and non-CSC state (i.e., stemness), among others [5] Understanding such functional inter-dependencies from a dynamical systems level can lead to deciphering the organizing principles of underlying regulatory network modules and, eventually, therapeutic advances that can target cancer cell adaptability/plasticity [6,7]

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