Dataset Information

Kosinsky2018 - Radiation and PD-(L)1 treatment combinations

ABSTRACT: This is a quantitative systems pharmacology (QSP) model that describes key elements of the cancer immunity cycle and the tumor microenvironment, tumor growth, as well as dose-exposure-target modulation features. The model describes the synergistic kinetic effects underlying immune cell interactions as linked to tumor size modulation under immunotherapeutic and radiological treatments.

SUBMITTER: Johannes Meyer

PROVIDER: BIOMD0000000863 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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			Action	DRS
	BIOMD0000000863?filename=Kosinsky2018-biopax2.owl	Owl
	BIOMD0000000863?filename=Kosinsky2018-biopax3.owl	Owl
	BIOMD0000000863?filename=Kosinsky2018-matlab.m	Other
	BIOMD0000000863?filename=Kosinsky2018-octave.m	Other
	BIOMD0000000863?filename=Kosinsky2018.cps	Other

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Publications

Radiation and PD-(L)1 treatment combinations: immune response and dose optimization via a predictive systems model.

Kosinsky Yuri Y Dovedi Simon J SJ Peskov Kirill K Voronova Veronika V Chu Lulu L Tomkinson Helen H Al-Huniti Nidal N Stanski Donald R DR Helmlinger Gabriel G

Journal for immunotherapy of cancer 20180227 1

<h4>Background</h4>Numerous oncology combination therapies involving modulators of the cancer immune cycle are being developed, yet quantitative simulation models predictive of outcome are lacking. We here present a model-based analysis of tumor size dynamics and immune markers, which integrates experimental data from multiple studies and provides a validated simulation framework predictive of biomarkers and anti-tumor response rates, for untested dosing sequences and schedules of combined radia ...[more]

PMID: 29486799

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