High expression of PD-1 ligands is associated with mutational signature and APOBEC3 alterations.

Oncoimmunology

Center for Personalized Cancer Therapy and Division of Hematology and Oncology, University of California San Diego, Moores Cancer Center, La Jolla, CA, USA.

Published: January 2017

Immunotherapy with checkpoint inhibitors, such as antibodies blocking the programmed cell-death receptor-1 (PD-1), has resulted in remarkable responses in patients having traditionally refractory cancers. Although response to PD-1 inhibitors correlates with PD-1 ligand (PD-L1 or PD-L2) expression, PD-1 ligand positivity represents only a part of the predictive model necessary for selecting patients predisposed to respond to immunotherapy. We used all genomic, transcriptomic, proteomic and phenotypic data related to 8,475 pan-cancer samples available in The Cancer Genome Atlas (TCGA) and conducted a logistic regression analysis based on a large set of variables, such as microsatellite instability (MSI-H), mismatch repair (MMR) alterations, polymerase δ () and polymerase ε () mutations, activation-induced/apolipoprotein-B editing cytidine deaminases (AID/APOBEC) alterations, lymphocyte markers and mutation burden estimates to determine independent factors that associate with PD-1 ligand overexpression. PD-1 ligand overexpression was independently and significantly correlated with overexpression of and mutations in paralogs. Additionally, while high tumor mutation burden and overexpression of PD-L1 have been previously correlated with each other, we demonstrate that the specific mutation pattern caused by APOBEC enzymes and called -rather than overall mutation burden, MSI-H or MMR alterations-correlates independently with PD-L1/PD-L2 expression. These observations suggest that alterations, APOBEC3 overexpression and play an important role in the regulation of PD-1 ligand overexpression, and thus, their relationship with immune checkpoint inhibitor response warrants exploration.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384346PMC
http://dx.doi.org/10.1080/2162402X.2017.1284719DOI Listing

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