ArticleJournal of theoretical biology2015
A mathematical model of pre-diagnostic glioma growth.
Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- The self-organized structure of glioma oncostreams and the disruptive role of passive cells.Scientific reports · 2024Article
- Liquid biomarkers in glioma.Brain tumor pathology · 2023Review
- A dynamical model of combination therapy applied to glioma.Journal of biological physics · 2022Article
- Data Driven Mathematical Model of Colon Cancer Progression.Journal of clinical medicine · 2020Article
- Associations between prediagnostic blood glucose levels, diabetes, and glioma.Scientific reports · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Due to their location, the malignant gliomas of the brain in humans are very difficult to treat in advanced stages. Blood-based biomarkers for glioma are needed for more accurate evaluation of treatment response as well as early diagnosis. However, biomarker research in primary brain tumors is challenging given their relative rarity and genetic diversity. It is further complicated by variations in the permeability of the blood brain barrier that affects the amount of marker released into the bloodstream. Inspired by recent temporal data indicating a possible decrease in serum glucose levels in patients with gliomas yet to be diagnosed, we present an ordinary differential equation model to capture early stage glioma growth. The model contains glioma-glucose-immune interactions and poses a potential mechanism by which this glucose drop can be explained. We present numerical simulations, parameter sensitivity analysis, linear stability analysis and a numerical experiment whereby we show how a dormant glioma can become malignant.
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