ArticleRoyal Society open science2025
The temporal response of a glioma cell population to irradiation: modelling the effect of dose and cell density.
Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Article
- Single-Cell Multiomic Profiling Uncovers Radiation Dosage-Sensitive, Cluster-Specific Regulatory Dynamics in Glioblastoma.bioRxiv : the preprint server for biology · 2025Article
- The temporal response of a glioma cell population to irradiation: modelling the effect of dose and cell density.Royal Society open science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Time-lapse fluorescence microscopy experiments were performed to track the cell density of F98 glioma cells under varying radiation doses and initial cell densities. Based on these results, a compartmental model characterizing the temporal response of a cancerous cell population to single-dose radiation therapy was developed. This model reproduces very well all the experimental data, with only three free parameters (and four others that are fixed). It allows us to have access and follow the evolution of different cell populations after irradiation, in particular, the senescent and repaired cell populations. From these different cell populations, surviving fractions could also be estimated. Most importantly, our model allows us to analyze and quantify an inhibition effect (or cohort effect) of the dead and senescent cell populations on the regrowth of the repaired one.
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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.