ArticleCancer convergence2017
Distinguishing mechanisms underlying EMT tristability.
Article in Cancer convergence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed, 90 citations in OpenAlex.
- Mechanisms Underlying the Coordination of EMT and Glycolysis Mediated by Hypoxia and Glucose.Current issues in molecular biology · 2026Article
- From inflammation to carcinogenesis: MiRNA regulates epithelial-mesenchymal transition to facilitate malignant progression of gastric precancerous lesions.Frontiers in oncology · 2026Review
- Aloe-Emodin Targeting FOXC2 Disrupts NETs Formation and EMT-Driven Postoperative Peritoneal Adhesion Through TGF-β1-Smad2/3 Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Unravelling the molecular crosstalk between Epithelial-Mesenchymal transition and human papillomavirus in oral cancer.Molecular biology reports · 2025Review
- A computational approach for perturbation-induced EMT transitions.NPJ systems biology and applications · 2025Article
- Transition paths across the epithelial-mesenchymal transition landscape are dictated by network logic.Development (Cambridge, England) · 2025Article
- Re-epithelialization of cancer cells increases autophagy and DNA damage: Implications for breast cancer dormancy and relapse.Science signaling · 2025Article
- A Multicellular Mechanochemical Model to Investigate Tumor Microenvironment Remodeling and Pre-Metastatic Niche Formation.Cellular and molecular bioengineering · 2024Article
- Review
- A Histone Methylation-MAPK Signaling Axis Drives Durable Epithelial-Mesenchymal Transition in Hypoxic Pancreatic Cancer.Cancer research · 2024Article
- Plasticity of cancer invasion and energy metabolism.Trends in cell biology · 2023Review
- Boolean modeling of mechanosensitive epithelial to mesenchymal transition and its reversal.iScience · 2023Article
- Article
- Spatiotemporal Patterning Enabled by Gene Regulatory Networks.ACS omega · 2023Article
- Network motifs and hypermotifs in TGFβ-induced epithelial to mesenchymal transition and metastasis.Frontiers in systems biology · 2023Article
- Network topology metrics explaining enrichment of hybrid epithelial/mesenchymal phenotypes in metastasis.PLoS computational biology · 2022Article
- The Novel Association of Early Apoptotic Circulating Tumor Cells with Treatment Outcomes in Breast Cancer Patients.International journal of molecular sciences · 2022Article
- Circulating tumour cells in the -omics era: how far are we from achieving the 'singularity'?British journal of cancer · 2022Review
- Tumour Stem Cells in Breast Cancer.International journal of molecular sciences · 2022Review
- Transcriptional census of epithelial-mesenchymal plasticity in cancer.Science advances · 2022Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThe Epithelial-Mesenchymal Transition (EMT) endows epithelial-looking cells with enhanced migratory ability during embryonic development and tissue repair. EMT can also be co-opted by cancer cells to acquire metastatic potential and drug-resistance. Recent research has argued that epithelial (E) cells can undergo either a partial EMT to attain a hybrid epithelial/mesenchymal (E/M) phenotype that typically displays collective migration, or a complete EMT to adopt a mesenchymal (M) phenotype that shows individual migration. The core EMT regulatory network - miR-34/SNAIL/miR-200/ZEB1 - has been identified by various studies, but how this network regulates the transitions among the E, E/M, and M phenotypes remains controversial. Two major mathematical models - ternary chimera switch (TCS) and cascading bistable switches (CBS) - that both focus on the miR-34/SNAIL/miR-200/ZEB1 network, have been proposed to elucidate the EMT dynamics, but a detailed analysis of how well either or both of these two models can capture recent experimental observations about EMT dynamics remains to be done.
resultsHere, via an integrated experimental and theoretical approach, we first show that both these two models can be used to understand the two-step transition of EMT - E→E/M→M, the different responses of SNAIL and ZEB1 to exogenous TGF-β and the irreversibility of complete EMT. Next, we present new experimental results that tend to discriminate between these two models. We show that ZEB1 is present at intermediate levels in the hybrid E/M H1975 cells, and that in HMLE cells, overexpression of SNAIL is not sufficient to initiate EMT in the absence of ZEB1 and FOXC2.
conclusionsThese experimental results argue in favor of the TCS model proposing that miR-200/ZEB1 behaves as a three-way decision-making switch enabling transitions among the E, hybrid E/M and M phenotypes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.