On immunotherapies and cancer vaccination protocols: a mathematical modelling approach

Badal Joshi; Xueying Wang; Sayanti Banerjee; Haiyan Tian; Anastasios Matzavinos; Mark A. J. Chaplain

doi:10.1016/j.jtbi.2009.05.001

On immunotherapies and cancer vaccination protocols: a mathematical modelling approach

Badal Joshi, Xueying Wang, Sayanti Banerjee, Haiyan Tian, Anastasios Matzavinos, Mark A. J. Chaplain

Research output: Contribution to journal › Article › peer-review

68 Citations (Scopus)

Abstract

In this paper we develop a new mathematical model of immunotherapy and cancer vaccination, focusing on the role of antigen presentation and co-stimulatory signaling pathways in cancer immunology. We investigate the effect of different cancer vaccination protocols on the well-documented phenomena of cancer dormancy and recurrence, and we provide a possible explanation of why adoptive (i.e. passive) immunotherapy protocols can sometimes actually promote tumour growth instead of inhibiting it (a phenomenon called immunostimulation), as opposed to active vaccination protocols based on tumour-antigen pulsed dendritic cells. Significantly, the results of our computational simulations suggest that elevated numbers of professional antigen presenting cells correlate well with prolonged time periods of cancer dormancy. (C) 2009 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	820-827
Number of pages	8
Journal	Journal of Theoretical Biology
Volume	259
Issue number	4
DOIs	https://doi.org/10.1016/j.jtbi.2009.05.001
Publication status	Published - 21 Aug 2009

Keywords

Cancer vaccination
Immunotherapy
Cancer dormancy
Cancer recurrence
Cytotoxic T-lymphocytes
Immune cells competition
Bifurcation analysis
Tumor immunology
Dendritic cells
T cells
System
Growth
Dynamics
Perspectives
Vaccines

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jtbi.2009.05.001

Cite this

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title = "On immunotherapies and cancer vaccination protocols: a mathematical modelling approach",

abstract = "In this paper we develop a new mathematical model of immunotherapy and cancer vaccination, focusing on the role of antigen presentation and co-stimulatory signaling pathways in cancer immunology. We investigate the effect of different cancer vaccination protocols on the well-documented phenomena of cancer dormancy and recurrence, and we provide a possible explanation of why adoptive (i.e. passive) immunotherapy protocols can sometimes actually promote tumour growth instead of inhibiting it (a phenomenon called immunostimulation), as opposed to active vaccination protocols based on tumour-antigen pulsed dendritic cells. Significantly, the results of our computational simulations suggest that elevated numbers of professional antigen presenting cells correlate well with prolonged time periods of cancer dormancy. (C) 2009 Elsevier Ltd. All rights reserved.",

keywords = "Cancer vaccination, Immunotherapy, Cancer dormancy, Cancer recurrence, Cytotoxic T-lymphocytes, Immune cells competition, Bifurcation analysis, Tumor immunology, Dendritic cells, T cells, System, Growth, Dynamics, Perspectives, Vaccines",

author = "Badal Joshi and Xueying Wang and Sayanti Banerjee and Haiyan Tian and Anastasios Matzavinos and Chaplain, {Mark A. J.}",

year = "2009",

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doi = "10.1016/j.jtbi.2009.05.001",

language = "English",

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journal = "Journal of Theoretical Biology",

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T2 - a mathematical modelling approach

AU - Joshi, Badal

AU - Wang, Xueying

AU - Banerjee, Sayanti

AU - Tian, Haiyan

AU - Matzavinos, Anastasios

AU - Chaplain, Mark A. J.

PY - 2009/8/21

Y1 - 2009/8/21

N2 - In this paper we develop a new mathematical model of immunotherapy and cancer vaccination, focusing on the role of antigen presentation and co-stimulatory signaling pathways in cancer immunology. We investigate the effect of different cancer vaccination protocols on the well-documented phenomena of cancer dormancy and recurrence, and we provide a possible explanation of why adoptive (i.e. passive) immunotherapy protocols can sometimes actually promote tumour growth instead of inhibiting it (a phenomenon called immunostimulation), as opposed to active vaccination protocols based on tumour-antigen pulsed dendritic cells. Significantly, the results of our computational simulations suggest that elevated numbers of professional antigen presenting cells correlate well with prolonged time periods of cancer dormancy. (C) 2009 Elsevier Ltd. All rights reserved.

AB - In this paper we develop a new mathematical model of immunotherapy and cancer vaccination, focusing on the role of antigen presentation and co-stimulatory signaling pathways in cancer immunology. We investigate the effect of different cancer vaccination protocols on the well-documented phenomena of cancer dormancy and recurrence, and we provide a possible explanation of why adoptive (i.e. passive) immunotherapy protocols can sometimes actually promote tumour growth instead of inhibiting it (a phenomenon called immunostimulation), as opposed to active vaccination protocols based on tumour-antigen pulsed dendritic cells. Significantly, the results of our computational simulations suggest that elevated numbers of professional antigen presenting cells correlate well with prolonged time periods of cancer dormancy. (C) 2009 Elsevier Ltd. All rights reserved.

KW - Cancer vaccination

KW - Immunotherapy

KW - Cancer dormancy

KW - Cancer recurrence

KW - Cytotoxic T-lymphocytes

KW - Immune cells competition

KW - Bifurcation analysis

KW - Tumor immunology

KW - Dendritic cells

KW - T cells

KW - System

KW - Growth

KW - Dynamics

KW - Perspectives

KW - Vaccines

U2 - 10.1016/j.jtbi.2009.05.001

DO - 10.1016/j.jtbi.2009.05.001

M3 - Article

SN - 0022-5193

VL - 259

SP - 820

EP - 827

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

IS - 4

ER -

On immunotherapies and cancer vaccination protocols: a mathematical modelling approach

Abstract

Keywords

UN SDGs

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