An Empirical Antigen Selection Method Identifies Neoantigens That Either Elicit Broad Antitumor T-cell Responses or Drive Tumor Growth

Cancer Discov. 2021 Mar;11(3):696-713. doi: 10.1158/2159-8290.CD-20-0377. Epub 2021 Jan 27.

Abstract

Neoantigens are critical targets of antitumor T-cell responses. The ATLAS bioassay was developed to identify neoantigens empirically by expressing each unique patient-specific tumor mutation individually in Escherichia coli, pulsing autologous dendritic cells in an ordered array, and testing the patient's T cells for recognition in an overnight assay. Profiling of T cells from patients with lung cancer revealed both stimulatory and inhibitory responses to individual neoantigens. In the murine B16F10 melanoma model, therapeutic immunization with ATLAS-identified stimulatory neoantigens protected animals, whereas immunization with peptides associated with inhibitory ATLAS responses resulted in accelerated tumor growth and abolished efficacy of an otherwise protective vaccine. A planned interim analysis of a clinical study testing a poly-ICLC adjuvanted personalized vaccine containing ATLAS-identified stimulatory neoantigens showed that it is well tolerated. In an adjuvant setting, immunized patients generated both CD4+ and CD8+ T-cell responses, with immune responses to 99% of the vaccinated peptide antigens. SIGNIFICANCE: Predicting neoantigens in silico has progressed, but empirical testing shows that T-cell responses are more nuanced than straightforward MHC antigen recognition. The ATLAS bioassay screens tumor mutations to uncover preexisting, patient-relevant neoantigen T-cell responses and reveals a new class of putatively deleterious responses that could affect cancer immunotherapy design.This article is highlighted in the In This Issue feature, p. 521.

MeSH terms

  • Animals
  • Antigens, Neoplasm / genetics
  • Antigens, Neoplasm / immunology*
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / immunology
  • Cancer Vaccines / administration & dosage
  • Cancer Vaccines / immunology
  • Cell Line, Tumor
  • Clinical Trials as Topic
  • DNA Mutational Analysis
  • Disease Models, Animal
  • Disease Progression
  • Genomics / methods
  • Humans
  • Immunity, Cellular*
  • Immunogenicity, Vaccine
  • Melanoma, Experimental
  • Mice
  • Mutation
  • Neoplasms / genetics
  • Neoplasms / immunology*
  • Neoplasms / pathology*
  • Neoplasms / therapy
  • T-Lymphocytes / immunology*
  • T-Lymphocytes / metabolism
  • T-Lymphocytes / pathology
  • Treatment Outcome
  • Vaccination

Substances

  • Antigens, Neoplasm
  • Biomarkers, Tumor
  • Cancer Vaccines