| Literature DB >> 33504579 |
Hubert Lam1, Lisa K McNeil1, Hanna Starobinets1, Victoria L DeVault1, Roger B Cohen2, Przemyslaw Twardowski3, Melissa L Johnson4, Maura L Gillison5, Mark N Stein6, Ulka N Vaishampayan7, Arthur P DeCillis1, James J Foti1, Vijetha Vemulapalli1, Emily Tjon1, Kyle Ferber1, Daniel B DeOliveira1, Wendy Broom1, Parul Agnihotri1, Elizabeth M Jaffee8, Kwok-Kin Wong9, Charles G Drake6, Pamela M Carroll1, Thomas A Davis1, Jessica Baker Flechtner10.
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. ©2021 American Association for Cancer Research.Entities:
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Year: 2021 PMID: 33504579 DOI: 10.1158/2159-8290.CD-20-0377
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397