Multi-omics prediction in melanoma immunotherapy: A new brick in the wall

Abstract

In this issue of Cancer Cell, Newell et al. introduce whole-genome and methylome data to melanoma immunotherapy response analysis. Genome breaks are more frequent in resistant tumors, but the best response classifiers remain mutation burden and interferon-ɣ signature. Clinical translation will need aggregation of many such datasets.