A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockade

A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockade

Abstract Immune checkpoint blockade (ICB) is a promising cancer therapy; however, resistance frequently develops. To explore ICB resistance mechanisms, we develop Immunotherapy Resistance cell-cell Interaction Scanner (IRIS), a machine learning model aimed at identifying cell-type-specific tumor mic...

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Main Authors: Sahil Sahni, Binbin Wang, Di Wu, Saugato Rahman Dhruba, Matthew Nagy, Sushant Patkar, Ingrid Ferreira, Chi-Ping Day, Kun Wang, Eytan Ruppin
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-52555-4
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https://doi.org/10.1038/s41467-024-52555-4

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