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Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape
by
Kohandel, Mohammad
, Powathil, Gibin G.
, Yaromina, Ala
, Dubois, Ludwig J.
, Lambin, Philippe
, Hamis, Sara
in
Antineoplastic Agents - pharmacology
/ Applied mathematics
/ Biology and Life Sciences
/ Cancer therapies
/ Cancer treatment
/ Carcinogenesis
/ Cell Hypoxia - physiology
/ Cell Proliferation - drug effects
/ Cell Proliferation - radiation effects
/ Cellular automata
/ Chemical compounds
/ Clinical trials
/ Computational Biology
/ Computer Simulation
/ Cytotoxicity
/ Developmental biology
/ Drugs
/ Funding
/ Humans
/ Hypoxia
/ Intensifiers
/ Ionizing radiation
/ Mathematical analysis
/ Mathematical models
/ Medicine and Health Sciences
/ Metabolism
/ Methods
/ Models, Biological
/ Oncology
/ Oxygen
/ Patient outcomes
/ Physical Sciences
/ Precision medicine
/ Prodrugs
/ Prodrugs - pharmacology
/ Radiation therapy
/ Radiation, Ionizing
/ Radiotherapy
/ Scheduling
/ Spheroids, Cellular
/ Tumor Cells, Cultured
/ Tumor Microenvironment - physiology
/ Tumors
2020
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Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape
by
Kohandel, Mohammad
, Powathil, Gibin G.
, Yaromina, Ala
, Dubois, Ludwig J.
, Lambin, Philippe
, Hamis, Sara
in
Antineoplastic Agents - pharmacology
/ Applied mathematics
/ Biology and Life Sciences
/ Cancer therapies
/ Cancer treatment
/ Carcinogenesis
/ Cell Hypoxia - physiology
/ Cell Proliferation - drug effects
/ Cell Proliferation - radiation effects
/ Cellular automata
/ Chemical compounds
/ Clinical trials
/ Computational Biology
/ Computer Simulation
/ Cytotoxicity
/ Developmental biology
/ Drugs
/ Funding
/ Humans
/ Hypoxia
/ Intensifiers
/ Ionizing radiation
/ Mathematical analysis
/ Mathematical models
/ Medicine and Health Sciences
/ Metabolism
/ Methods
/ Models, Biological
/ Oncology
/ Oxygen
/ Patient outcomes
/ Physical Sciences
/ Precision medicine
/ Prodrugs
/ Prodrugs - pharmacology
/ Radiation therapy
/ Radiation, Ionizing
/ Radiotherapy
/ Scheduling
/ Spheroids, Cellular
/ Tumor Cells, Cultured
/ Tumor Microenvironment - physiology
/ Tumors
2020
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Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape
by
Kohandel, Mohammad
, Powathil, Gibin G.
, Yaromina, Ala
, Dubois, Ludwig J.
, Lambin, Philippe
, Hamis, Sara
in
Antineoplastic Agents - pharmacology
/ Applied mathematics
/ Biology and Life Sciences
/ Cancer therapies
/ Cancer treatment
/ Carcinogenesis
/ Cell Hypoxia - physiology
/ Cell Proliferation - drug effects
/ Cell Proliferation - radiation effects
/ Cellular automata
/ Chemical compounds
/ Clinical trials
/ Computational Biology
/ Computer Simulation
/ Cytotoxicity
/ Developmental biology
/ Drugs
/ Funding
/ Humans
/ Hypoxia
/ Intensifiers
/ Ionizing radiation
/ Mathematical analysis
/ Mathematical models
/ Medicine and Health Sciences
/ Metabolism
/ Methods
/ Models, Biological
/ Oncology
/ Oxygen
/ Patient outcomes
/ Physical Sciences
/ Precision medicine
/ Prodrugs
/ Prodrugs - pharmacology
/ Radiation therapy
/ Radiation, Ionizing
/ Radiotherapy
/ Scheduling
/ Spheroids, Cellular
/ Tumor Cells, Cultured
/ Tumor Microenvironment - physiology
/ Tumors
2020
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Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape
Journal Article
Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape
2020
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Overview
Hypoxia-activated prodrugs (HAPs) present a conceptually elegant approach to not only overcome, but better yet, exploit intra-tumoural hypoxia. Despite being successful in vitro and in vivo, HAPs are yet to achieve successful results in clinical settings. It has been hypothesised that this lack of clinical success can, in part, be explained by the insufficiently stringent clinical screening selection of determining which tumours are suitable for HAP treatments. Taking a mathematical modelling approach, we investigate how tumour properties and HAP-radiation scheduling influence treatment outcomes in simulated tumours. The following key results are demonstrated in silico: (i) HAP and ionising radiation (IR) monotherapies may attack tumours in dissimilar, and complementary, ways. (ii) HAP-IR scheduling may impact treatment efficacy. (iii) HAPs may function as IR treatment intensifiers. (iv) The spatio-temporal intra-tumoural oxygen landscape may impact HAP efficacy. Our in silico framework is based on an on-lattice, hybrid, multiscale cellular automaton spanning three spatial dimensions. The mathematical model for tumour spheroid growth is parameterised by multicellular tumour spheroid (MCTS) data.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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