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Hugo, Willy; Zaretsky, Jesse M.; Sun, Lu; Song, Chunying; Moreno, Blanca Homet; Hu-Lieskovan, Siwen; Berent-Maoz, Beata; Pang, Jia; Chmielowski, Bartosz; Cherry, Grace; Seja, Elizabeth; Lomeli, Shirley; Kong, Xiangju; Kelley, Mark C.; Sosman, Jeffrey A.; Johnson, Douglas B.; Ribas, Antoni; Lo, Roger S.
Cell, 03/2016, Volume: 165, Issue: 1Journal Article
PD-1 immune checkpoint blockade provides significant clinical benefits for melanoma patients. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies to identify factors that may influence innate sensitivity or resistance to anti-PD-1 therapy. We find that overall high mutational loads associate with improved survival, and tumors from responding patients are enriched for mutations in the DNA repair gene BRCA2. Innately resistant tumors display a transcriptional signature (referred to as the IPRES, or innate anti-PD-1 resistance), indicating concurrent up-expression of genes involved in the regulation of mesenchymal transition, cell adhesion, extracellular matrix remodeling, angiogenesis, and wound healing. Notably, mitogen-activated protein kinase (MAPK)-targeted therapy (MAPK inhibitor) induces similar signatures in melanoma, suggesting that a non-genomic form of MAPK inhibitor resistance mediates cross-resistance to anti-PD-1 therapy. Validation of the IPRES in other independent tumor cohorts defines a transcriptomic subset across distinct types of advanced cancer. These findings suggest that attenuating the biological processes that underlie IPRES may improve anti-PD-1 response in melanoma and other cancer types. Display omitted •High mutational loads may predict better survival, but not response to anti-PD-1•BRCA2 mutations are enriched in melanomas responsive to anti-PD-1•A transcriptional signature is related to innate anti-PD-1 resistance (IPRES)•IPRES defines a transcriptomic subset across distinct types of advanced cancer High mutational loads are associated with improved survival in melanoma patients but are not predictive of response to anti-PD-1 therapy, suggesting that other genomic and non-genomic features also contribute to response patterns on PD-1 checkpoint blockade therapy.
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