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Tsur2019 - Response of patients with melanoma to immune checkpoint blockade

ABSTRACT: This is a simple mathematical population model for pembrolizumab-treated advanced melanoma patients, used to predict the response of melanoma patients to immune checkpoint inhibitors.

SUBMITTER: Johannes Meyer

PROVIDER: BIOMD0000000838 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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			Action	DRS
	BIOMD0000000838?filename=Tsur2019-biopax2.owl	Owl
	BIOMD0000000838?filename=Tsur2019-biopax3.owl	Owl
	BIOMD0000000838?filename=Tsur2019-matlab.m	Other
	BIOMD0000000838?filename=Tsur2019-octave.m	Other
	BIOMD0000000838?filename=Tsur2019.cps	Other

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Publications

Response of patients with melanoma to immune checkpoint blockade - insights gleaned from analysis of a new mathematical mechanistic model.

Tsur N N Kogan Y Y Rehm M M Agur Z Z

Journal of theoretical biology 20190930

Immune checkpoint inhibitors (ICI) are becoming widely used in the treatment of metastatic melanoma. However, the ability to predict the patient's benefit from these therapeutics remains an unmet clinical need. Mathematical models that predict melanoma patients' response to ICI can contribute to better informed clinical decisions. Here, we developed a simple mathematical population model for pembrolizumab-treated advanced melanoma patients, and analyzed the local and global dynamics of the syste ...[more]

PMID: 31580835

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