A dynamical model of combination therapy applied to glioma

IF 1.8 4区生物学 Q3 BIOPHYSICS

Journal of Biological Physics Pub Date : 2022-11-11 DOI:10.1007/s10867-022-09618-8

Handoko Handoko, Setyanto Tri Wahyudi, Ardian Arif Setyawan, Agus Kartono

{"title":"A dynamical model of combination therapy applied to glioma","authors":"Handoko Handoko, Setyanto Tri Wahyudi, Ardian Arif Setyawan, Agus Kartono","doi":"10.1007/s10867-022-09618-8","DOIUrl":null,"url":null,"abstract":"<div><p>Glioma is a human brain tumor that is very difficult to treat at an advanced stage. Studies of glioma biomarkers have shown that some markers are released into the bloodstream, so data from these markers indicate a decrease in the concentration of blood glucose and serum glucose in patients with glioma; these suggest an association between glucose and glioma. This decrease mechanism in glucose concentration can be described by the coupled ordinary differential equations of the early-stage glioma growth and interactions between glioma cells, immune cells, and glucose concentration. In this paper, we propose developing a new mathematical model to explain how glioma cells evolve and survive combination therapy between chemotherapy and oncolytic virotherapy, as an alternative to glioma treatment. In this study, three therapies were applied for analysis, that is, (1) chemotherapy, (2) virotherapy, and (3) a combination of chemotherapy and virotherapy. Virotherapy uses specialist viruses that only attack tumor cells. Based on the simulation results of the therapy carried out, we conclude that combination therapy can reduce the glioma cells significantly compared to the other two therapies. The simulation results of this combination therapy can be an alternative to glioma therapy.\n</p></div>","PeriodicalId":612,"journal":{"name":"Journal of Biological Physics","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10867-022-09618-8.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biological Physics","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10867-022-09618-8","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}

引用次数: 0

Abstract

Glioma is a human brain tumor that is very difficult to treat at an advanced stage. Studies of glioma biomarkers have shown that some markers are released into the bloodstream, so data from these markers indicate a decrease in the concentration of blood glucose and serum glucose in patients with glioma; these suggest an association between glucose and glioma. This decrease mechanism in glucose concentration can be described by the coupled ordinary differential equations of the early-stage glioma growth and interactions between glioma cells, immune cells, and glucose concentration. In this paper, we propose developing a new mathematical model to explain how glioma cells evolve and survive combination therapy between chemotherapy and oncolytic virotherapy, as an alternative to glioma treatment. In this study, three therapies were applied for analysis, that is, (1) chemotherapy, (2) virotherapy, and (3) a combination of chemotherapy and virotherapy. Virotherapy uses specialist viruses that only attack tumor cells. Based on the simulation results of the therapy carried out, we conclude that combination therapy can reduce the glioma cells significantly compared to the other two therapies. The simulation results of this combination therapy can be an alternative to glioma therapy.

Abstract Image

查看原文本刊更多论文

胶质瘤联合治疗的动力学模型

神经胶质瘤是一种人类脑肿瘤，在晚期很难治疗。对神经胶质瘤生物标志物的研究表明，一些标志物被释放到血液中，因此这些标志物的数据表明，神经胶质瘤患者的血糖和血清葡萄糖浓度下降;这表明葡萄糖和神经胶质瘤之间存在关联。这种葡萄糖浓度下降的机制可以用早期胶质瘤生长和胶质瘤细胞、免疫细胞和葡萄糖浓度相互作用的耦合常微分方程来描述。在本文中，我们提出建立一个新的数学模型来解释胶质瘤细胞如何进化和生存的化疗和溶瘤病毒治疗的联合治疗，作为胶质瘤治疗的替代方案。本研究采用三种治疗方法进行分析，即(1)化疗，(2)病毒治疗，(3)化疗与病毒治疗联合。病毒疗法使用专门的病毒，只攻击肿瘤细胞。根据所进行治疗的模拟结果，我们得出结论，与其他两种治疗相比，联合治疗可以显著减少胶质瘤细胞。这种联合治疗的模拟结果可以替代胶质瘤治疗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Biological Physics 生物-生物物理

CiteScore

3.00

自引率

5.60%

发文量

审稿时长

>12 weeks

期刊介绍： Many physicists are turning their attention to domains that were not traditionally part of physics and are applying the sophisticated tools of theoretical, computational and experimental physics to investigate biological processes, systems and materials. The Journal of Biological Physics provides a medium where this growing community of scientists can publish its results and discuss its aims and methods. It welcomes papers which use the tools of physics in an innovative way to study biological problems, as well as research aimed at providing a better understanding of the physical principles underlying biological processes.