Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer

Andrei Macarie; Dumitru Trucu

doi:10.1142/9781800614383_0006

Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

Oncolytic viruses (OVs) have gained increasing attention in cancer research due to their immunotherapeutic potential and low side effect profile. However, OVs have been typically used so far as monotherapy and that resulted in limited efficacy. To address this issue, OVs are increasingly being combined with chemotherapies. In this chapter, we develop a multi-scale mathematical model to study the interactions between tumour cells, chemovirotherapy, and the extracellular matrix (ECM). Our model shows that either monotherapy is less effective than the combination therapy, which is consistent with experimental results.

Original language	English
Title of host publication	Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research
Subtitle of host publication	From Cancer Evolution to Cancer Treatment
Editors	Raluca Eftimie, Dumitru Trucu
Place of Publication	Singapore
Publisher	World Scientific
Chapter	6
Pages	149-180
ISBN (Electronic)	9781800614383, 9781800614390
ISBN (Print)	9781800614376
DOIs	https://doi.org/10.1142/9781800614383_0006
Publication status	Published - Dec 2024

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10.1142/9781800614383_0006

1 Book

Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment
Eftimie, R. (Editor) & Trucu, D. (Editor), Dec 2024, Singapore: World Scientific. 312 p.
Research output: Book/Report › Book
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Cite this

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title = "Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer",

abstract = "Oncolytic viruses (OVs) have gained increasing attention in cancer research due to their immunotherapeutic potential and low side effect profile. However, OVs have been typically used so far as monotherapy and that resulted in limited efficacy. To address this issue, OVs are increasingly being combined with chemotherapies. In this chapter, we develop a multi-scale mathematical model to study the interactions between tumour cells, chemovirotherapy, and the extracellular matrix (ECM). Our model shows that either monotherapy is less effective than the combination therapy, which is consistent with experimental results.",

author = "Andrei Macarie and Dumitru Trucu",

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language = "English",

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Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer. / Macarie, Andrei ; Trucu, Dumitru.
Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment. ed. / Raluca Eftimie; Dumitru Trucu. Singapore: World Scientific, 2024. p. 149-180.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer

AU - Macarie, Andrei

AU - Trucu, Dumitru

PY - 2024/12

Y1 - 2024/12

N2 - Oncolytic viruses (OVs) have gained increasing attention in cancer research due to their immunotherapeutic potential and low side effect profile. However, OVs have been typically used so far as monotherapy and that resulted in limited efficacy. To address this issue, OVs are increasingly being combined with chemotherapies. In this chapter, we develop a multi-scale mathematical model to study the interactions between tumour cells, chemovirotherapy, and the extracellular matrix (ECM). Our model shows that either monotherapy is less effective than the combination therapy, which is consistent with experimental results.

AB - Oncolytic viruses (OVs) have gained increasing attention in cancer research due to their immunotherapeutic potential and low side effect profile. However, OVs have been typically used so far as monotherapy and that resulted in limited efficacy. To address this issue, OVs are increasingly being combined with chemotherapies. In this chapter, we develop a multi-scale mathematical model to study the interactions between tumour cells, chemovirotherapy, and the extracellular matrix (ECM). Our model shows that either monotherapy is less effective than the combination therapy, which is consistent with experimental results.

U2 - 10.1142/9781800614383_0006

DO - 10.1142/9781800614383_0006

M3 - Chapter (peer-reviewed)

SN - 9781800614376

SP - 149

EP - 180

BT - Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research

A2 - Eftimie, Raluca

A2 - Trucu, Dumitru

PB - World Scientific

CY - Singapore

ER -

Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer

Abstract

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Research output

Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment

Cite this