[HTML][HTML] Prospect for application of mathematical models in combination cancer treatments

J Malinzi, KB Basita, S Padidar, HA Adeola - Informatics in Medicine …, 2021 - Elsevier
The long-term efficacy of targeted therapeutics for cancer treatment can be significantly
limited by the type of therapy and development of drug resistance, inter alia. Experimental …

[HTML][HTML] Improving immunovirotherapies: the intersection of mathematical modelling and experiments

CE Engeland, JPW Heidbuechel, RP Araujo… - ImmunoInformatics, 2022 - Elsevier
Combined oncolytic virotherapy and immunotherapy (immunovirotherapy) protocols
represent a promising treatment strategy for a range of cancers and offer many advantages …

[HTML][HTML] In silico trials predict that combination strategies for enhancing vesicular stomatitis oncolytic virus are determined by tumor aggressivity

AL Jenner, T Cassidy, K Belaid… - … for immunotherapy of …, 2021 - ncbi.nlm.nih.gov
Background Immunotherapies, driven by immune-mediated antitumorigenicity, offer the
potential for significant improvements to the treatment of multiple cancer types. Identifying …

Determinants of combination GM-CSF immunotherapy and oncolytic virotherapy success identified through in silico treatment personalization

T Cassidy, M Craig - PLoS computational biology, 2019 - journals.plos.org
Oncolytic virotherapies, including the modified herpes simplex virus talimogene
laherparepvec (T-VEC), have shown great promise as potent instigators of anti-tumour …

Mechanistic modeling of a novel oncolytic virus, V937, to describe viral kinetic and dynamic processes following intratumoral and intravenous administration

ZP Parra-Guillen, T Freshwater, Y Cao… - Frontiers in …, 2021 - frontiersin.org
V937 is an investigational novel oncolytic non-genetically modified Kuykendall strain of
Coxsackievirus A21 which is in clinical development for the treatment of advanced solid …

The role of memory in non-genetic inheritance and its impact on cancer treatment resistance

T Cassidy, D Nichol, M Robertson-Tessi… - PLOS Computational …, 2021 - journals.plos.org
Intra-tumour heterogeneity is a leading cause of treatment failure and disease progression
in cancer. While genetic mutations have long been accepted as a primary mechanism of …

A recipe for state dependent distributed delay differential equations

T Cassidy, M Craig, AR Humphries - arXiv preprint arXiv:1811.05930, 2018 - arxiv.org
We use the McKendrick equation with variable ageing rate and randomly distributed
maturation time to derive a state dependent distributed delay differential equation. We show …

Distributed delay differential equation representations of cyclic differential equations

T Cassidy - SIAM Journal on Applied Mathematics, 2021 - SIAM
Compartmental ordinary differential equation (ODE) models are used extensively in
mathematical biology. When transit between compartments occurs at a constant rate, the …

Mathematical modeling predicts pathways to successful implementation of combination TRAIL-producing oncolytic virus and PAC-1 to treat granulosa cell tumors of …

J Le Sauteur-Robitaille, P Crosley, M Hitt… - Cancer Biology & …, 2023 - Taylor & Francis
The development of new cancer therapies requires multiple rounds of validation from in vitro
and in vivo experiments before they can be considered for clinical trials. Mathematical …

A novel mathematical model of heterogeneous cell proliferation

ST Vittadello, SW McCue, G Gunasingh… - Journal of Mathematical …, 2021 - Springer
We present a novel mathematical model of heterogeneous cell proliferation where the total
population consists of a subpopulation of slow-proliferating cells and a subpopulation of fast …