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Tsur2019 - Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm

ABSTRACT: This is a simple mathematical model describing the interactions of an advanced melanoma tumor with both the immune system and the immunotherapy drug, pembrolizumab.

SUBMITTER: Johannes Meyer

PROVIDER: MODEL1911150001 | BioModels | 2019-11-15

REPOSITORIES: BioModels

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	MODEL1911150001?filename=Tsur2019.cps	Other
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Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm.

Tsur Neta N Kogan Yuri Y Avizov-Khodak Evgenia E Vaeth Désirée D Vogler Nils N Utikal Jochen J Lotem Michal M Agur Zvia Z

Journal of translational medicine 20191007 1

<h4>Background</h4>At present, immune checkpoint inhibitors, such as pembrolizumab, are widely used in the therapy of advanced non-resectable melanoma, as they induce more durable responses than other available treatments. However, the overall response rate does not exceed 50% and, considering the high costs and low life expectancy of nonresponding patients, there is a need to select potential responders before therapy. Our aim was to develop a new personalization algorithm which could be benefi ...[more]

PMID: 31590677

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