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

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          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.

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          Author and article information

          Journal
          Science
          Science (New York, N.Y.)
          American Association for the Advancement of Science (AAAS)
          1095-9203
          0036-8075
          Apr 03 2015
          : 348
          : 6230
          Affiliations
          [1 ] Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Weill Cornell Medical College, New York, NY, 10065, USA. chant@mskcc.org.
          [2 ] Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Weill Cornell Medical College, New York, NY, 10065, USA.
          [3 ] Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Weill Cornell Medical College, New York, NY, 10065, USA. Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [4 ] Division of Immunology, Netherlands Cancer Institute, 1066 CX Amsterdam, Netherlands.
          [5 ] Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [6 ] Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [7 ] Immune Monitoring Core, Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [8 ] Computation Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [9 ] Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [10 ] Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [11 ] Department of Mathematics, Columbia University, New York, NY, 10027, USA.
          [12 ] Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [13 ] David Geffen School of Medicine at UCLA, 2825 Santa Monica Boulevard, Suite 200, Santa Monica, CA 90404, USA.
          [14 ] Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [15 ] Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Weill Cornell Medical College, New York, NY, 10065, USA. Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
          [16 ] Weill Cornell Medical College, New York, NY, 10065, USA. Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. chant@mskcc.org.
          Article
          NIHMS810141 science.aaa1348
          10.1126/science.aaa1348
          4993154
          25765070
          55085500-209f-49db-8726-b81a4bf47eec
          History

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