ArticlePloS one2017
A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications.
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 24 papers.
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Who cites it
24 citing papers in PubMed.
- CAR-T cell therapy for glioblastoma: insight from mathematical modeling.Frontiers in immunology · 2025Article
- XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging.Frontiers in artificial intelligence · 2025Article
- DataXflow: Synergizing data-driven modeling with best parameter fit and optimal control - An efficient data analysis for cancer research.Computational and structural biotechnology journal · 2024Article
- Focus on current and emerging treatment options for glioma: A comprehensive review.World journal of clinical oncology · 2024Review
- Expressions of the satellite repeat HSAT5 and transposable elements are implicated in disease progression and survival in glioma.Turkish journal of biology = Turk biyoloji dergisi · 2024Article
- Characterization and clinical implications of different malignant transformation patterns in diffuse low-grade gliomas.Cancer science · 2023Article
- Prediction of Tumor Development and Urine-Based Liquid Biopsy for Molecule-Targeted Therapy of Gliomas.Genes · 2023Review
- Review
- Balancing maximal resection and functional preservation in surgery for low-grade glioma.Neuro-oncology · 2022Article
- Modelling glioma progression, mass effect and intracranial pressure in patient anatomy.Journal of the Royal Society, Interface · 2022Article
- Mathematical Modeling and Mutational Analysis Reveal Optimal Therapy to Prevent Malignant Transformation in Grade II IDH-Mutant Gliomas.Cancer research · 2021Article
- The Effect of Radiotherapy on Diffuse Low-Grade Gliomas Evolution: Confronting Theory with Clinical Data.Journal of personalized medicine · 2021Article
- Transcriptional Networks Identify BRPF1 as a Potential Drug Target Based on Inflammatory Signature in Primary Lower-Grade Gliomas.Frontiers in oncology · 2021Article
- Cognitive Functions in Repeated Glioma Surgery.Cancers · 2020Article
- A simple model for glioma grading based on texture analysis applied to conventional brain MRI.PloS one · 2020Article
- Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma.Cancer drug resistance (Alhambra, Calif.) · 2020Article
- Radiation protraction schedules for low-grade gliomas: a comparison between different mathematical models.Journal of the Royal Society, Interface · 2019Article
- Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas.PLoS computational biology · 2019Article
- Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas.European radiology · 2019Article
- Nested Dilation Networks for Brain Tumor Segmentation Based on Magnetic Resonance Imaging.Frontiers in neuroscience · 2019Article
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Authors and funding
8 authors.
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Abstract
Gliomas are the most frequent type of primary brain tumours. Low grade gliomas (LGGs, WHO grade II gliomas) may grow very slowly for the long periods of time, however they inevitably cause death due to the phenomenon known as the malignant transformation. This refers to the transition of LGGs to more aggressive forms of high grade gliomas (HGGs, WHO grade III and IV gliomas). In this paper we propose a mathematical model describing the spatio-temporal transition of LGGs into HGGs. Our modelling approach is based on two cellular populations with transitions between them being driven by the tumour microenvironment transformation occurring when the tumour cell density grows beyond a critical level. We show that the proposed model describes real patient data well. We discuss the relationship between patient prognosis and model parameters. We approximate tumour radius and velocity before malignant transformation as well as estimate the onset of this process.
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