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- W3155101325 startingPage "1819" @default.
- W3155101325 abstract "Immunotherapy has revolutionized the therapeutic landscape of melanoma. In particular, checkpoint inhibition has shown to increase long-term outcome, and, in some cases, it can be virtually curative. However, the absence of clinically validated predictive biomarkers is one of the major causes of unpredictable efficacy of immunotherapy. Indeed, the availability of predictive biomarkers could allow a better stratification of patients, suggesting which type of drugs should be used in a certain clinical context and guiding clinicians in escalating or de-escalating therapy. However, the difficulty in obtaining clinically useful predictive biomarkers reflects the deep complexity of tumor biology. Biomarkers can be classified as tumor-intrinsic biomarkers, microenvironment biomarkers, and systemic biomarkers. Herein we review the available literature to classify and describe predictive biomarkers for checkpoint inhibition in melanoma with the aim of helping clinicians in the decision-making process. We also performed a meta-analysis on the predictive value of PDL-1." @default.
- W3155101325 created "2021-04-26" @default.
- W3155101325 creator A5008379475 @default.
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- W3155101325 creator A5034419986 @default.
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- W3155101325 creator A5079922146 @default.
- W3155101325 creator A5086926559 @default.
- W3155101325 creator A5091599868 @default.
- W3155101325 date "2021-04-10" @default.
- W3155101325 modified "2023-10-12" @default.
- W3155101325 title "Find the Flame: Predictive Biomarkers for Immunotherapy in Melanoma" @default.
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