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Targeted Next Generation Sequencing Identifies Markers of Response to PD-1 Blockade.
Johnson, Douglas B; Frampton, Garrett M; Rioth, Matthew J; Yusko, Erik; Xu, Yaomin; Guo, Xingyi; Ennis, Riley C; Fabrizio, David; Chalmers, Zachary R; Greenbowe, Joel; Ali, Siraj M; Balasubramanian, Sohail; Sun, James X; He, Yuting; Frederick, Dennie T; Puzanov, Igor; Balko, Justin M; Cates, Justin M; Ross, Jeffrey S; Sanders, Catherine; Robins, Harlan; Shyr, Yu; Miller, Vincent A; Stephens, Philip J; Sullivan, Ryan J; Sosman, Jeffrey A; Lovly, Christine M.
Afiliação
  • Johnson DB; Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee. Douglas.b.johnson@vanderbilt.edu.
  • Frampton GM; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Rioth MJ; Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Yusko E; Department of Bioinformatics, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Xu Y; Adaptive Biotechnologies, Seattle, Washington.
  • Guo X; Department of Biostatistics, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Ennis RC; Department of Biostatistics, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Fabrizio D; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Chalmers ZR; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Greenbowe J; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Ali SM; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Balasubramanian S; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Sun JX; Foundation Medicine Inc., Cambridge, Massachusetts.
  • He Y; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Frederick DT; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Puzanov I; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
  • Balko JM; Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Cates JM; Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Ross JS; Department of Cancer Biology, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Sanders C; Department of Pathology, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Robins H; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Shyr Y; Adaptive Biotechnologies, Seattle, Washington.
  • Miller VA; Adaptive Biotechnologies, Seattle, Washington.
  • Stephens PJ; Department of Biostatistics, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee.
  • Sullivan RJ; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Sosman JA; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Lovly CM; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Cancer Immunol Res ; 4(11): 959-967, 2016 11.
Article em En | MEDLINE | ID: mdl-27671167
ABSTRACT
Therapeutic antibodies blocking programmed death-1 and its ligand (PD-1/PD-L1) induce durable responses in a substantial fraction of melanoma patients. We sought to determine whether the number and/or type of mutations identified using a next-generation sequencing (NGS) panel available in the clinic was correlated with response to anti-PD-1 in melanoma. Using archival melanoma samples from anti-PD-1/PD-L1-treated patients, we performed hybrid capture-based NGS on 236-315 genes and T-cell receptor (TCR) sequencing on initial and validation cohorts from two centers. Patients who responded to anti-PD-1/PD-L1 had higher mutational loads in an initial cohort (median, 45.6 vs. 3.9 mutations/MB; P = 0.003) and a validation cohort (37.1 vs. 12.8 mutations/MB; P = 0.002) compared with nonresponders. Response rate, progression-free survival, and overall survival were superior in the high, compared with intermediate and low, mutation load groups. Melanomas with NF1 mutations harbored high mutational loads (median, 62.7 mutations/MB) and high response rates (74%), whereas BRAF/NRAS/NF1 wild-type melanomas had a lower mutational load. In these archival samples, TCR clonality did not predict response. Mutation numbers in the 315 genes in the NGS platform strongly correlated with those detected by whole-exome sequencing in The Cancer Genome Atlas samples, but was not associated with survival. In conclusion, mutational load, as determined by an NGS platform available in the clinic, effectively stratified patients by likelihood of response. This approach may provide a clinically feasible predictor of response to anti-PD-1/PD-L1. Cancer Immunol Res; 4(11); 959-67. ©2016 AACR.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Regulação Neoplásica da Expressão Gênica / Sequenciamento de Nucleotídeos em Larga Escala / Receptor de Morte Celular Programada 1 / Antineoplásicos Imunológicos / Neoplasias Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Regulação Neoplásica da Expressão Gênica / Sequenciamento de Nucleotídeos em Larga Escala / Receptor de Morte Celular Programada 1 / Antineoplásicos Imunológicos / Neoplasias Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article