Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach

Abstract The development of an in silico approach that evaluates and identifies appropriate treatment protocols for individuals could help grow personalized treatment and increase cancer patient lifespans. With this motivation, the present study introduces a novel approach for sequential treatment c...

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Autores principales:	Farshad Moradi Kashkooli, M. Soltani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1047842f06c241088ded2ad3f43ac6f4
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spelling	oai:doaj.org-article:1047842f06c241088ded2ad3f43ac6f42021-11-08T10:54:14ZEvaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach10.1038/s41598-021-00989-x2045-2322https://doaj.org/article/1047842f06c241088ded2ad3f43ac6f42021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00989-xhttps://doaj.org/toc/2045-2322Abstract The development of an in silico approach that evaluates and identifies appropriate treatment protocols for individuals could help grow personalized treatment and increase cancer patient lifespans. With this motivation, the present study introduces a novel approach for sequential treatment cycles based on simultaneously examining drug delivery, tumor growth, and chemotherapy efficacy. This model incorporates the physical conditions of tumor geometry, including tumor, capillary network, and normal tissue assuming real circumstances, as well as the intravascular and interstitial fluid flow, drug concentration, chemotherapy efficacy, and tumor recurrence. Three treatment approaches—maximum tolerated dose (MTD), metronomic chemotherapy (MC), and chemo-switching (CS)—as well as different chemotherapy schedules are investigated on a real tumor geometry extracted from image. Additionally, a sensitivity analysis of effective parameters of drug is carried out to evaluate the potential of using different other drugs in cancer treatment. The main findings are: (i) CS, MC, and MTD have the best performance in reducing tumor cells, respectively; (ii) multiple doses raise the efficacy of drugs that have slower clearance, higher diffusivity, and lower to medium binding affinities; (iii) the suggested approach to eradicating tumors is to reduce their cells to a predetermined rate through chemotherapy and then apply adjunct therapy.Farshad Moradi KashkooliM. SoltaniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Farshad Moradi Kashkooli M. Soltani Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
description	Abstract The development of an in silico approach that evaluates and identifies appropriate treatment protocols for individuals could help grow personalized treatment and increase cancer patient lifespans. With this motivation, the present study introduces a novel approach for sequential treatment cycles based on simultaneously examining drug delivery, tumor growth, and chemotherapy efficacy. This model incorporates the physical conditions of tumor geometry, including tumor, capillary network, and normal tissue assuming real circumstances, as well as the intravascular and interstitial fluid flow, drug concentration, chemotherapy efficacy, and tumor recurrence. Three treatment approaches—maximum tolerated dose (MTD), metronomic chemotherapy (MC), and chemo-switching (CS)—as well as different chemotherapy schedules are investigated on a real tumor geometry extracted from image. Additionally, a sensitivity analysis of effective parameters of drug is carried out to evaluate the potential of using different other drugs in cancer treatment. The main findings are: (i) CS, MC, and MTD have the best performance in reducing tumor cells, respectively; (ii) multiple doses raise the efficacy of drugs that have slower clearance, higher diffusivity, and lower to medium binding affinities; (iii) the suggested approach to eradicating tumors is to reduce their cells to a predetermined rate through chemotherapy and then apply adjunct therapy.
format	article
author	Farshad Moradi Kashkooli M. Soltani
author_facet	Farshad Moradi Kashkooli M. Soltani
author_sort	Farshad Moradi Kashkooli
title	Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
title_short	Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
title_full	Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
title_fullStr	Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
title_full_unstemmed	Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
title_sort	evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1047842f06c241088ded2ad3f43ac6f4
work_keys_str_mv	AT farshadmoradikashkooli evaluationofsolidtumorresponsetosequentialtreatmentcyclesviaanewcomputationalhybridapproach AT msoltani evaluationofsolidtumorresponsetosequentialtreatmentcyclesviaanewcomputationalhybridapproach
_version_	1718442496483131392

Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach

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