A Boolean network model of hypoxia, mechanosensing and TGF-β signaling captures the role of phenotypic plasticity and mutations in tumor metastasis.

doi:10.1371/journal.pcbi.1012735

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Article

A Boolean network model of hypoxia, mechanosensing and TGF-β signaling captures the role of phenotypic plasticity and mutations in tumor metastasis.

PLoS computational biology - 1 Apr 2025

Greene Grant, Zonfa Ian, Ravasz Regan Erzsébet

Abstract excerpt

The tumor microenvironment aids cancer progression by promoting several cancer hallmarks, independent of cancer-related mutations. Biophysical properties of this environment, such as the stiffness of the matrix cells adhere to and local cell density, impact proliferation, apoptosis, and the epithelial to mesenchymal transition (EMT). The latter is a rate-limiting step for invasion and metastasis, enhanced in...

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Topics

Humans
Transforming Growth Factor beta
Epithelial-Mesenchymal Transition
Mutation
Neoplasm Metastasis
Models, Biological

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Tumor Microenvironment

Mechanotransduction, Cellular

Signal Transduction

Neoplasms

Computational Biology

Cell Hypoxia

Phenotype

Hypoxia-Inducible Factor 1, alpha Subunit

Source

Open in PubMed Open full text

Identifiers

PMID: 40238833
DOI: 10.1371/journal.pcbi.1012735
PMCID: PMC12061430

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