Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer

Immune checkpoint inhibitors, which unleash a patient's own T cells to kill tumors, are revolutionizing cancer treatment. To unravel the genomic determinants of response to this therapy, we used whole-exome sequencing of non–small cell lung cancers treated with pembrolizumab, an antibody target...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Science (American Association for the Advancement of Science) 2015-04, Vol.348 (6230), p.124-128
Hauptverfasser: Rizvi, Naiyer A., Hellmann, Matthew D., Snyder, Alexandra, Kvistborg, Pia, Makarov, Vladimir, Havel, Jonathan J., Lee, William, Yuan, Jianda, Wong, Phillip, Ho, Teresa S., Miller, Martin L., Rekhtman, Natasha, Moreira, Andre L., Ibrahim, Fawzia, Bruggeman, Cameron, Gasmi, Billel, Zappasodi, Roberta, Maeda, Yuka, Sander, Chris, Garon, Edward B., Merghoub, Taha, Wolchok, Jedd D., Schumacher, Ton N., Chan, Timothy A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Immune checkpoint inhibitors, which unleash a patient's own T cells to kill tumors, are revolutionizing cancer treatment. To unravel the genomic determinants of response to this therapy, we used whole-exome sequencing of non–small cell lung cancers treated with pembrolizumab, an antibody targeting programmed cell death-1 (PD-1). In two independent cohorts, higher nonsynonymous mutation burden in tumors was associated with improved objective response, durable clinical benefit, and progression-free survival. Efficacy also correlated with the molecular smoking signature, higher neoantigen burden, and DNA repair pathway mutations; each factor was also associated with mutation burden. In one responder, neoantigen-specific CD8+ T cell responses paralleled tumor regression, suggesting that anti–PD-1 therapy enhances neoantigen-specific T cell reactivity. Our results suggest that the genomic landscape of lung cancers shapes response to anti–PD-1 therapy.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.aaa1348