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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b755296c408f4d62bce273d786ad6e82

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

Journal of translational medicine, 2019-10, Vol.17 (1), p.338-15, Article 338

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b755296c408f4d62bce273d786ad6e82

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b755296c408f4d62bce273d786ad6e82

Other Identifiers

ISSN

1479-5876

E-ISSN

1479-5876

DOI

10.1186/s12967-019-2081-2

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