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Nature ; 551(7681): 512-516, 2017 11 23.
Article in English | MEDLINE | ID: mdl-29132146

ABSTRACT

Pancreatic ductal adenocarcinoma is a lethal cancer with fewer than 7% of patients surviving past 5 years. T-cell immunity has been linked to the exceptional outcome of the few long-term survivors, yet the relevant antigens remain unknown. Here we use genetic, immunohistochemical and transcriptional immunoprofiling, computational biophysics, and functional assays to identify T-cell antigens in long-term survivors of pancreatic cancer. Using whole-exome sequencing and in silico neoantigen prediction, we found that tumours with both the highest neoantigen number and the most abundant CD8+ T-cell infiltrates, but neither alone, stratified patients with the longest survival. Investigating the specific neoantigen qualities promoting T-cell activation in long-term survivors, we discovered that these individuals were enriched in neoantigen qualities defined by a fitness model, and neoantigens in the tumour antigen MUC16 (also known as CA125). A neoantigen quality fitness model conferring greater immunogenicity to neoantigens with differential presentation and homology to infectious disease-derived peptides identified long-term survivors in two independent datasets, whereas a neoantigen quantity model ascribing greater immunogenicity to increasing neoantigen number alone did not. We detected intratumoural and lasting circulating T-cell reactivity to both high-quality and MUC16 neoantigens in long-term survivors of pancreatic cancer, including clones with specificity to both high-quality neoantigens and predicted cross-reactive microbial epitopes, consistent with neoantigen molecular mimicry. Notably, we observed selective loss of high-quality and MUC16 neoantigenic clones on metastatic progression, suggesting neoantigen immunoediting. Our results identify neoantigens with unique qualities as T-cell targets in pancreatic ductal adenocarcinoma. More broadly, we identify neoantigen quality as a biomarker for immunogenic tumours that may guide the application of immunotherapies.


Subject(s)
Antigens, Neoplasm/immunology , Bacterial Proteins/immunology , Cancer Survivors , Cross Reactions/immunology , Pancreatic Neoplasms/immunology , T-Lymphocytes, Cytotoxic/immunology , Adenocarcinoma/blood , Adenocarcinoma/genetics , Adenocarcinoma/immunology , Antigens, Neoplasm/genetics , Bacterial Proteins/blood , Bacterial Proteins/genetics , CA-125 Antigen/genetics , CA-125 Antigen/immunology , Computer Simulation , Cross Reactions/genetics , Humans , Immunotherapy , Membrane Proteins/genetics , Membrane Proteins/immunology , Pancreatic Neoplasms/blood , Pancreatic Neoplasms/genetics , Prognosis , Survival Analysis , T-Lymphocytes, Cytotoxic/cytology , Exome Sequencing
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