dc.contributor.author |
Mahasa, Khaphetsi Joseph
|
|
dc.contributor.author |
Eladdadi, Amina
|
|
dc.contributor.author |
De Pillis, Lisette
|
|
dc.contributor.author |
Ouifki, Rachid
|
|
dc.date.accessioned |
2017-10-30T08:25:48Z |
|
dc.date.available |
2017-10-30T08:25:48Z |
|
dc.date.issued |
2017-09-21 |
|
dc.description |
S1 Text. Supplemental information. Contents: 1) Parameter estimation. 2) Model Basic
Reproductive Number. 3) Stability analysis of the virus free steady states. 4) MATLAB Syntax
for the ODE system counterpart of the model. |
en_ZA |
dc.description.abstract |
In the present paper, we address by means of mathematical modeling the following main
question: How can oncolytic virus infection of some normal cells in the vicinity of tumor cells
enhance oncolytic virotherapy? We formulate a mathematical model describing the interactions
between the oncolytic virus, the tumor cells, the normal cells, and the antitumoral and
antiviral immune responses. The model consists of a system of delay differential equations
with one (discrete) delay. We derive the model's basic reproductive number within tumor
and normal cell populations and use their ratio as a metric for virus tumor-specificity. Numerical
simulations are performed for different values of the basic reproduction numbers and
their ratios to investigate potential trade-offs between tumor reduction and normal cells
losses. A fundamental feature unravelled by the model simulations is its great sensitivity to
parameters that account for most variation in the early or late stages of oncolytic virotherapy.
From a clinical point of view, our findings indicate that designing an oncolytic virus that
is not 100% tumor-specific can increase virus particles, which in turn, can further infect
tumor cells. Moreover, our findings indicate that when infected tissues can be regenerated,
oncolytic viral infection of normal cells could improve cancer treatment. |
en_ZA |
dc.description.department |
Mathematics and Applied Mathematics |
en_ZA |
dc.description.librarian |
am2017 |
en_ZA |
dc.description.uri |
http://www.plosone.org |
en_ZA |
dc.identifier.citation |
Mahasa KJ, Eladdadi A, de Pillis L, Ouifki
R (2017) Oncolytic potency and reduced virus
tumor-specificity in oncolytic virotherapy. A
mathematical modelling approach. PLoS ONE
12(9): e0184347. https://DOI.org/ 10.1371/journal.pone.0184347. |
en_ZA |
dc.identifier.issn |
1932-6203 (online) |
|
dc.identifier.other |
10.1371/journal.pone.0184347 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/62962 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Public Library of Science |
en_ZA |
dc.rights |
© 2017 Mahasa et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License. |
en_ZA |
dc.subject |
Oncolytic virus infection |
en_ZA |
dc.subject |
Oncolytic virotherapy |
en_ZA |
dc.subject |
Tumor reduction |
en_ZA |
dc.subject |
cancer treatment |
en_ZA |
dc.title |
Oncolytic potency and reduced virus tumorspecificity in oncolytic virotherapy : a mathematical modelling approach |
en_ZA |
dc.type |
Article |
en_ZA |