Literature DB >> 33504579

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

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.

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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


  11 in total

Review 1.  Cancer vaccines: Building a bridge over troubled waters.

Authors:  MacLean C Sellars; Catherine J Wu; Edward F Fritsch
Journal:  Cell       Date:  2022-07-13       Impact factor: 66.850

2.  Identification of personalized neoantigen-based vaccines and immune subtype characteristic analysis of glioblastoma based on abnormal alternative splicing.

Authors:  Zhifang Deng; Peiyan Zhan; Ke Yang; Li Liu; Jue Liu; Wenqi Gao
Journal:  Am J Cancer Res       Date:  2022-08-15       Impact factor: 5.942

3.  Integrating CD4+ T cell help for therapeutic cancer vaccination in a preclinical head and neck cancer model.

Authors:  Hirofumi Shibata; Na Xu; Shin Saito; Liye Zhou; Ibrahim Ozgenc; Jason Webb; Cong Fu; Paul Zolkind; Ann Marie Egloff; Ravindra Uppaluri
Journal:  Oncoimmunology       Date:  2021-08-10       Impact factor: 8.110

4.  Multi-step screening of neoantigens' HLA- and TCR-interfaces improves prediction of survival.

Authors:  Guilhem Richard; Anne S De Groot; Gary D Steinberg; Tzintzuni I Garcia; Alec Kacew; Matthew Ardito; William D Martin; Gad Berdugo; Michael F Princiotta; Arjun V Balar; Randy F Sweis
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  In Silico Model Estimates the Clinical Trial Outcome of Cancer Vaccines.

Authors:  Orsolya Lőrincz; József Tóth; Levente Molnár; István Miklós; Kata Pántya; Mónika Megyesi; Eszter Somogyi; Zsolt Csiszovszki; Enikő R Tőke
Journal:  Cells       Date:  2021-11-05       Impact factor: 6.600

Review 6.  Vaccines for Non-Viral Cancer Prevention.

Authors:  Cristina Bayó; Gerhard Jung; Marta Español-Rego; Francesc Balaguer; Daniel Benitez-Ribas
Journal:  Int J Mol Sci       Date:  2021-10-09       Impact factor: 5.923

Review 7.  Adoptive Cellular Therapy for Multiple Myeloma Using CAR- and TCR-Transgenic T Cells: Response and Resistance.

Authors:  Franziska Füchsl; Angela M Krackhardt
Journal:  Cells       Date:  2022-01-25       Impact factor: 6.600

Review 8.  Heterogeneity of the tumor immune microenvironment and its clinical relevance.

Authors:  Qingzhu Jia; Aoyun Wang; Yixiao Yuan; Bo Zhu; Haixia Long
Journal:  Exp Hematol Oncol       Date:  2022-04-23

Review 9.  T-Cell Receptor Repertoire Sequencing and Its Applications: Focus on Infectious Diseases and Cancer.

Authors:  Lucia Mazzotti; Anna Gaimari; Sara Bravaccini; Roberta Maltoni; Claudio Cerchione; Manel Juan; Europa Azucena-Gonzalez Navarro; Anna Pasetto; Daniela Nascimento Silva; Valentina Ancarani; Vittorio Sambri; Luana Calabrò; Giovanni Martinelli; Massimiliano Mazza
Journal:  Int J Mol Sci       Date:  2022-08-02       Impact factor: 6.208

10.  Development of a Personalized Tumor Neoantigen Based Vaccine Formulation (FRAME-001) for Use in a Phase II Trial for the Treatment of Advanced Non-Small Cell Lung Cancer.

Authors:  Linette T Oosting; Katka Franke; Michael V Martin; Wigard P Kloosterman; Jennifer A Jamieson; Laura A Glenn; Miranda W de Jager; Jacoba van Zanten; Derk P Allersma; Bahez Gareb
Journal:  Pharmaceutics       Date:  2022-07-21       Impact factor: 6.525

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