ArticlePLoS computational biology2020
A plausible accelerating function of intermediate states in cancer metastasis.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 49 citations in OpenAlex.
- Pathogenomic analysis reveals clinically relevant epithelial-mesenchymal plasticity in esophageal squamous cell carcinoma.Theranostics · 2026Article
- Integrated mathematical and experimental modeling uncovers enhanced EMT plasticity upon loss of the DLC1 tumor suppressor.PLoS computational biology · 2025Article
- Cx58 is associated with the metastasis of non-small cell lung cancer via MEF2B/Cx58 axis.Acta biochimica et biophysica Sinica · 2025Article
- Fibrotic extracellular matrix preferentially induces a partial Epithelial-Mesenchymal Transition phenotype in a 3-D agent based model of fibrosis.Mathematical biosciences · 2025Article
- Cusp bifurcation in a metastatic regulatory network.Journal of theoretical biology · 2023Article
- Understanding and leveraging phenotypic plasticity during metastasis formation.NPJ systems biology and applications · 2023Article
- Population dynamics of EMT elucidates the timing and distribution of phenotypic intra-tumoral heterogeneity.iScience · 2023Article
- Dynamics of Epithelial-Mesenchymal Plasticity: What Have Single-Cell Investigations Elucidated So Far?ACS omega · 2023Review
- Involvement of Epithelial-Mesenchymal Transition Genes in Small Cell Lung Cancer Phenotypic Plasticity.Cancers · 2023Article
- Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer.Nature communications · 2023Article
- Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma.iScience · 2022Article
- Bidirectional crosstalk between epithelial-mesenchymal plasticity and IFNRoyal Society open science · 2022Article
- Cooperative RNA degradation stabilizes intermediate epithelial-mesenchymal states and supports a phenotypic continuum.iScience · 2022Article
- Epithelial-to-Mesenchymal Transition in Metastasis: Focus on Laryngeal Carcinoma.Biomedicines · 2022Review
- Distinct cytosine modification profiles define epithelial-to-mesenchymal cell-state transitions.Epigenomics · 2022Article
- Cluster size distribution of cells disseminating from a primary tumor.PLoS computational biology · 2021Article
- Systems-level network modeling deciphers the master regulators of phenotypic plasticity and heterogeneity in melanoma.iScience · 2021Article
- Landscape and kinetic path quantify critical transitions in epithelial-mesenchymal transition.Biophysical journal · 2021Article
- The Role of the IL-6 Cytokine Family in Epithelial-Mesenchymal Plasticity in Cancer Progression.International journal of molecular sciences · 2021Review
- Inferring transcriptomic cell states and transitions only from time series transcriptome data.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial-to-mesenchymal transition (EMT) is a fundamental cellular process and plays an essential role in development, tissue regeneration, and cancer metastasis. Interestingly, EMT is not a binary process but instead proceeds with multiple partial intermediate states. However, the functions of these intermediate states are not fully understood. Here, we focus on a general question about how the number of partial EMT states affects cell transformation. First, by fitting a hidden Markov model of EMT with experimental data, we propose a statistical mechanism for EMT in which many unobservable microstates may exist within one of the observable macrostates. Furthermore, we find that increasing the number of intermediate states can accelerate the EMT process and that adding parallel paths or transition layers may accelerate the process even further. Last, a stabilized intermediate state traps cells in one partial EMT state. This work advances our understanding of the dynamics and functions of EMT plasticity during cancer metastasis.
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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.