ArticlePloS one2017
Single Cell Mathematical Model Successfully Replicates Key Features of GBM: Go-Or-Grow Is Not Necessary.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Go-or-grow models in biology: a monster on a leash.Journal of mathematical biology · 2025Review
- Glioblastoma cell invasion: Go? Grow? Yes.Neuro-oncology · 2023Article
- Feasibility and clinical usefulness of modelling glioblastoma migration in adjuvant radiotherapy.Zeitschrift fur medizinische Physik · 2022Article
- From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response.PLoS computational biology · 2020Article
- The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017Review
- Key rates for the grades and transformation ability of glioma: model simulations and clinical cases.Journal of neuro-oncology · 2017Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) is a malignant brain tumor that continues to be associated with neurological morbidity and poor survival times. Brain invasion is a fundamental property of malignant glioma cells. The Go-or-Grow (GoG) phenotype proposes that cancer cell motility and proliferation are mutually exclusive. Here, we construct and apply a single glioma cell mathematical model that includes motility and angiogenesis and lacks the GoG phenotype. Simulations replicate key features of GBM including its multilayer structure (i.e.edema, enhancement, and necrosis), its progression patterns associated with bevacizumab treatment, and replicate the survival times of GBM treated or untreated with bevacizumab. These results suggest that the GoG phenotype is not a necessary property for the formation of the multilayer structure, recurrence patterns, and the poor survival times of patients diagnosed with GBM.
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Registered trials
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