{"title":"神经胶质瘤细胞群对辐照的时间反应:剂量和细胞密度影响的建模。","authors":"Marianne Billoir, Delphine Crepin, Stéphane Plaszczynski, Basile Grammaticos, Olivier Seksek, Mathilde Badoual","doi":"10.1098/rsos.241917","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21525,"journal":{"name":"Royal Society Open Science","volume":"12 4","pages":"241917"},"PeriodicalIF":2.9000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040453/pdf/","citationCount":"0","resultStr":"{\"title\":\"The temporal response of a glioma cell population to irradiation: modelling the effect of dose and cell density.\",\"authors\":\"Marianne Billoir, Delphine Crepin, Stéphane Plaszczynski, Basile Grammaticos, Olivier Seksek, Mathilde Badoual\",\"doi\":\"10.1098/rsos.241917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":21525,\"journal\":{\"name\":\"Royal Society Open Science\",\"volume\":\"12 4\",\"pages\":\"241917\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040453/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Royal Society Open Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1098/rsos.241917\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Royal Society Open Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsos.241917","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
The temporal response of a glioma cell population to irradiation: modelling the effect of dose and cell density.
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.
期刊介绍:
Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review.
The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.