Skip to main navigation Skip to search Skip to main content

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

  • Naiyer A. Rizvi
  • , Matthew D. Hellmann
  • , Alexandra Snyder
  • , Pia Kvistborg
  • , Vladimir Makarov
  • , Jonathan J. Havel
  • , William Lee
  • , Jianda Yuan
  • , Phillip Wong
  • , Teresa S. Ho
  • , Martin L. Miller
  • , Natasha Rekhtman
  • , Andre L. Moreira
  • , Fawzia Ibrahim
  • , Cameron Bruggeman
  • , Billel Gasmi
  • , Roberta Zappasodi
  • , Yuka Maeda
  • , Chris Sander
  • , Edward B. Garon
  • Taha Merghoub, Jedd D. Wolchok, Ton N. Schumacher, Timothy A. Chan

Research output: Contribution to journal › Article › peer-review

7142 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)124-128
Number of pages5
JournalScience
Volume348
Issue number6230
DOIs
StatePublished - 3 Apr 2015
Externally publishedYes

Fingerprint

Dive into the research topics of 'Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer'. Together they form a unique fingerprint.

Cite this