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Predicting immune checkpoint therapy response in three independent metastatic melanoma cohorts

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By Letícia Szadai, Áron Bartha, Indira Pla Parada, Akexandra Lakatos
| biorxiv.org
Abstract While Immune checkpoint inhibition (ICI) therapy shows significant efficacy in metastatic melanoma, only about 50% respond, lacking reliable predictive methods. We introduce a panel of six proteins aimed at predicting response to ICI therapy. Evaluating previously reported proteins in two untreated melanoma cohorts, we used a published predictive model (EaSIeR score) to identify potential proteins distinguishing responders and non-responders.
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