ArticleNature communications2019
Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 28 citations in OpenAlex.
- From Data to Decision: Integrating Bioinformatics into Glioma Patient Stratification and Immunotherapy Selection.International journal of molecular sciences · 2026Review
- Article
- Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks.Interdisciplinary sciences, computational life sciences · 2025Article
- Gene regulatory network topology governs resistance and treatment escape in glioma stem-like cells.Science advances · 2024Article
- Pan-cancer evaluation of regulated cell death to predict overall survival and immune checkpoint inhibitor response.NPJ precision oncology · 2024Article
- The impact ofAnimal cells and systems · 2024Article
- Functional biomaterials for biomimetic 3D in vitro tumor microenvironment modeling.In vitro models · 2023Review
- Establishment and immune phenotyping of patient-derived glioblastoma models in humanized mice.Frontiers in immunology · 2023Article
- Cancer cell heterogeneity & plasticity in glioblastoma and brain tumors.Seminars in cancer biology · 2022Review
- Cancer progression as a learning process.iScience · 2022Review
- Topographic mapping of the glioblastoma proteome reveals a triple-axis model of intra-tumoral heterogeneity.Nature communications · 2022Article
- The novel BET inhibitor UM-002 reduces glioblastoma cell proliferation and invasion.Scientific reports · 2021Article
- Spatiotemporal dynamics of a glioma immune interaction model.Scientific reports · 2021Article
- Association of Circadian Clock Gene Expression with Glioma Tumor Microenvironment and Patient Survival.Cancers · 2021Article
- Tumor cell plasticity, heterogeneity, and resistance in crucial microenvironmental niches in glioma.Nature communications · 2021Article
- A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors.PLoS computational biology · 2021Article
- Tumor Cell Invasion in Glioblastoma.International journal of molecular sciences · 2020Review
- Benchmarking algorithms for pathway activity transformation of single-cell RNA-seq data.Computational and structural biotechnology journal · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) is an aggressive type of brain cancer with remarkable cell migration and adaptation capabilities. Exploratory adaptation-utilization of random changes in gene regulation for adaptive benefits-was recently proposed as the process enabling organisms to survive unforeseen conditions. We investigate whether exploratory adaption explains how GBM cells from different anatomic regions of the tumor cope with micro-environmental pressures. We introduce new notions of phenotype and phenotype distance, and determine probable spatial-phenotypic trajectories based on patient data. While some cell phenotypes are inherently plastic, others are intrinsically rigid with respect to phenotypic transitions. We demonstrate that stochastic exploration of the regulatory network structure confers benefits through enhanced adaptive capacity in new environments. Interestingly, even with exploratory capacity, phenotypic paths are constrained to pass through specific, spatial-phenotypic ranges. This work has important implications for understanding how such adaptation contributes to the recurrence dynamics of GBM and other solid tumors.
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