| Literature DB >> 28397821 |
Alexander C Huang1,2,3,4, Michael A Postow5,6, Robert J Orlowski1,2,3,4, Rosemarie Mick3,4,7, Bertram Bengsch2,4,8, Sasikanth Manne2,8, Wei Xu1,3, Shannon Harmon1,3, Josephine R Giles2,4,8, Brandon Wenz1,3, Matthew Adamow9, Deborah Kuk10, Katherine S Panageas10, Cristina Carrera5,11, Phillip Wong9,12, Felix Quagliarello2,8, Bradley Wubbenhorst1,3, Kurt D'Andrea1,3, Kristen E Pauken2,8, Ramin S Herati1,2,3, Ryan P Staupe2,8, Jason M Schenkel13, Suzanne McGettigan1,3, Shawn Kothari1, Sangeeth M George2,4,8, Robert H Vonderheide1,2,3,4, Ravi K Amaravadi1,3, Giorgos C Karakousis3,14, Lynn M Schuchter1,3, Xiaowei Xu3,15, Katherine L Nathanson1,3,4, Jedd D Wolchok5,12, Tara C Gangadhar1,3, E John Wherry2,3,4,8.
Abstract
Despite the success of monotherapies based on blockade of programmed cell death 1 (PD-1) in human melanoma, most patients do not experience durable clinical benefit. Pre-existing T-cell infiltration and/or the presence of PD-L1 in tumours may be used as indicators of clinical response; however, blood-based profiling to understand the mechanisms of PD-1 blockade has not been widely explored. Here we use immune profiling of peripheral blood from patients with stage IV melanoma before and after treatment with the PD-1-targeting antibody pembrolizumab and identify pharmacodynamic changes in circulating exhausted-phenotype CD8 T cells (Tex cells). Most of the patients demonstrated an immunological response to pembrolizumab. Clinical failure in many patients was not solely due to an inability to induce immune reinvigoration, but rather resulted from an imbalance between T-cell reinvigoration and tumour burden. The magnitude of reinvigoration of circulating Tex cells determined in relation to pretreatment tumour burden correlated with clinical response. By focused profiling of a mechanistically relevant circulating T-cell subpopulation calibrated to pretreatment disease burden, we identify a clinically accessible potential on-treatment predictor of response to PD-1 blockade.Entities:
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Year: 2017 PMID: 28397821 PMCID: PMC5554367 DOI: 10.1038/nature22079
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962