ArticleFrontiers in oncology2022
A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- The rise of 3D spheroids in radiobiology for assessing tumour radioresistance.Acta oncologica (Stockholm, Sweden) · 2026Article
- Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based Modeling.International journal of radiation oncology, biology, physics · 2025Article
- The Aptamer bi-(AID-1-T) Synergizes with Radiation to Inhibit Proliferation of Human Glioma Cells.Pharmaceutics · 2025Article
- The temporal response of a glioma cell population to irradiation: modelling the effect of dose and cell density.Royal Society open science · 2025Article
- Modeling of chemo-radiotherapy targeting growing vascular tumors: A continuum-level approach.PloS one · 2025Article
- Cancer cell sedimentation in 3D cultures reveals active migration regulated by self-generated gradients and adhesion sites.PLoS computational biology · 2024Article
- Predicting the spatio-temporal response of recurrent glioblastoma treated with rhenium-186 labelled nanoliposomes.Brain multiphysics · 2023Article
- 3D Cell Models in Radiobiology: Improving the Predictive Value of In Vitro Research.International journal of molecular sciences · 2023Review
- A data assimilation framework to predict the response of glioma cells to radiation.Mathematical biosciences and engineering : MBE · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
purposeConventional radiobiology models, including the linear-quadratic model, do not explicitly account for the temporal effects of radiation, thereby making it difficult to make time-resolved predictions of tumor response to fractionated radiation. To overcome this limitation, we propose and validate an experimental-computational approach that predicts the changes in cell number over time in response to fractionated radiation.
methodsWe irradiated 9L and C6 glioma cells with six different fractionation schemes yielding a total dose of either 16 Gy or 20 Gy, and then observed their response
resultsFor the 9L cells, we observed PCCs and CCCs between the model predictions and validation data of (mean ± standard error) 0.96 ± 0.007 and 0.88 ± 0.013, respectively, across all fractionation schemes. For the C6 cells, we observed PCCs and CCCs between model predictions and the validation data were 0.89 ± 0.008 and 0.75 ± 0.017, respectively, across all fractionation schemes.
conclusionBy proposing a time-resolved mathematical model of fractionated radiation response that can be experimentally verified
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.