癌症联合治疗的基因治疗模型研究

IF 0.6 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Eurasian Journal of Mathematical and Computer Applications Pub Date : 2022-09-27 DOI:10.32523/2306-6172-2022-10-3-15-36

Dehingia Kaushik, Kumar Sarmah Hemanta, Das Anusmita, P. Choonkil, Hosseini Kamyar

{"title":"癌症联合治疗的基因治疗模型研究","authors":"Dehingia Kaushik, Kumar Sarmah Hemanta, Das Anusmita, P. Choonkil, Hosseini Kamyar","doi":"10.32523/2306-6172-2022-10-3-15-36","DOIUrl":null,"url":null,"abstract":"This paper addresses a gene therapy model under different cancer treatment com- binations, considering effector cell and cancer cell populations. A gene therapy model has been modified by introducing radiotherapy and mAb drug treatment, respectively. The qualitative behaviour of the model under gene therapy, radio-genic therapy, and mAb-gene therapy is ex- amined at each of the equilibrium points of the model. Analytical findings have been verified numerically. In addition, the system’s dynamics have been investigated for different values of the treatment parameters. Our results reveal that the optimum level of immunotherapy can eradicate cancer cells from the body for the gene therapy model. Besides these findings, we have also found that combining radiotherapy, immunotherapy, and gene therapy could be a better cancer treatment strategy. For mAb-gene therapy, two scenarios have been presented in which the applied treatment can suppress cancer growth to zero.","PeriodicalId":42910,"journal":{"name":"Eurasian Journal of Mathematical and Computer Applications","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A STUDY ON A GENE THERAPY MODEL FOR THE COMBINED TREATMENT OF CANCER\",\"authors\":\"Dehingia Kaushik, Kumar Sarmah Hemanta, Das Anusmita, P. Choonkil, Hosseini Kamyar\",\"doi\":\"10.32523/2306-6172-2022-10-3-15-36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses a gene therapy model under different cancer treatment com- binations, considering effector cell and cancer cell populations. A gene therapy model has been modified by introducing radiotherapy and mAb drug treatment, respectively. The qualitative behaviour of the model under gene therapy, radio-genic therapy, and mAb-gene therapy is ex- amined at each of the equilibrium points of the model. Analytical findings have been verified numerically. In addition, the system’s dynamics have been investigated for different values of the treatment parameters. Our results reveal that the optimum level of immunotherapy can eradicate cancer cells from the body for the gene therapy model. Besides these findings, we have also found that combining radiotherapy, immunotherapy, and gene therapy could be a better cancer treatment strategy. For mAb-gene therapy, two scenarios have been presented in which the applied treatment can suppress cancer growth to zero.\",\"PeriodicalId\":42910,\"journal\":{\"name\":\"Eurasian Journal of Mathematical and Computer Applications\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurasian Journal of Mathematical and Computer Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32523/2306-6172-2022-10-3-15-36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Journal of Mathematical and Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32523/2306-6172-2022-10-3-15-36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种在不同癌症治疗组合下的基因治疗模型，考虑了效应细胞和癌症细胞群体。通过分别引入放射治疗和单克隆抗体药物治疗，对基因治疗模型进行了修改。模型在基因治疗、放射治疗和单克隆抗体基因治疗下的定性行为在模型的每个平衡点进行检验。分析结果已通过数值验证。此外，还对不同处理参数值的系统动力学进行了研究。我们的研究结果表明，对于基因治疗模型，免疫疗法的最佳水平可以从体内根除癌症细胞。除了这些发现之外，我们还发现放疗、免疫疗法和基因治疗相结合可能是更好的癌症治疗策略。对于mAb基因治疗，已经提出了两种应用治疗可以将癌症生长抑制为零的方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A STUDY ON A GENE THERAPY MODEL FOR THE COMBINED TREATMENT OF CANCER

This paper addresses a gene therapy model under different cancer treatment com- binations, considering effector cell and cancer cell populations. A gene therapy model has been modified by introducing radiotherapy and mAb drug treatment, respectively. The qualitative behaviour of the model under gene therapy, radio-genic therapy, and mAb-gene therapy is ex- amined at each of the equilibrium points of the model. Analytical findings have been verified numerically. In addition, the system’s dynamics have been investigated for different values of the treatment parameters. Our results reveal that the optimum level of immunotherapy can eradicate cancer cells from the body for the gene therapy model. Besides these findings, we have also found that combining radiotherapy, immunotherapy, and gene therapy could be a better cancer treatment strategy. For mAb-gene therapy, two scenarios have been presented in which the applied treatment can suppress cancer growth to zero.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Eurasian Journal of Mathematical and Computer Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： Eurasian Journal of Mathematical and Computer Applications (EJMCA) publishes carefully selected original research papers in all areas of Applied mathematics first of all from Europe and Asia. However papers by mathematicians from other continents are also welcome. From time to time Eurasian Journal of Mathematical and Computer Applications (EJMCA) will also publish survey papers. Eurasian Mathematical Journal publishes 4 issues in a year. A working language of the journal is English. Main topics are: - Mathematical methods and modeling in mechanics, mining, biology, geophysics, electrodynamics, acoustics, industry. - Inverse problems of mathematical physics: theory and computational approaches. - Medical and industry tomography. - Computer applications: distributed information systems, decision-making systems, embedded systems, information security, graphics.