Literature DB >> 32927123

HLA Class I Binding of Mutant EGFR Peptides in NSCLC Is Associated With Improved Survival.

Anastasios Dimou1, Paul Grewe2, John Sidney3, Alessandro Sette4, Paul J Norman5, Robert C Doebele2.   

Abstract

INTRODUCTION: Cancer-associated mutations have the potential to generate neoantigens and elicit CD8-positive T-cell-dependent adaptive immune responses. There are currently no reports of CD8-positive T-cells with specificity for neoepitopes generated by EGFR mutations, which are driver oncogenes in a subset of patients with lung cancer.
METHODS: We used NETMHCpan 4.0 to identify putative protective human leukocyte antigen (HLA) class I allotypes that are predicted in silico to bind and present mutant EGFR-generated peptides on the basis of predefined criteria. We associated the presence or absence of these alleles with clinical outcomes in patients from The Cancer Genome Atlas with lung adenocarcinoma.
RESULTS: We identified 12 HLA class I alleles that fulfilled the predefined criteria for being protective for EGFR p.L858R and six for EGFR p.E746_A750del, the two most common EGFR mutations in lung cancer. We validated the in silico predictions for peptide-HLA allele binding in vitro. A third (12 of 36) of patients with mostly early stage lung adenocarcinoma in The Cancer Genome Atlas with either EGFR p.L858R or EGFR p.E746_A750del had at least one protective allele in their host genomes. More importantly, patients with protective alleles exhibited better disease-free (hazard ratio: 0.20, 95% confidence interval: 0.05-0.78) and overall survival (hazard ratio: 0.13, 95% confidence interval: 0.02-0.64), and this effect was independent of the EGFR mutation type, stage, age, and sex.
CONCLUSIONS: Our data revealed that clinical outcomes were improved in patients with EGFR mutation-positive lung adenocarcinoma who harbored protective HLA class I alleles. Thus, immunity with specificity for mutant EGFR is possible in a subset of patients with early stage lung cancer and portends a better prognosis.
Copyright © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adaptive immunity; EGFR; HLA; Neoepitopes

Mesh:

Substances:

Year:  2020        PMID: 32927123      PMCID: PMC7797166          DOI: 10.1016/j.jtho.2020.08.023

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  35 in total

1.  Two complementary methods for predicting peptides binding major histocompatibility complex molecules.

Authors:  K Gulukota; J Sidney; A Sette; C DeLisi
Journal:  J Mol Biol       Date:  1997-04-18       Impact factor: 5.469

2.  Measurement of MHC/peptide interactions by gel filtration or monoclonal antibody capture.

Authors:  John Sidney; Scott Southwood; Carrie Moore; Carla Oseroff; Clemencia Pinilla; Howard M Grey; Alessandro Sette
Journal:  Curr Protoc Immunol       Date:  2013-02

3.  A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.

Authors:  Shutao Mei; Fuyi Li; André Leier; Tatiana T Marquez-Lago; Kailin Giam; Nathan P Croft; Tatsuya Akutsu; A Ian Smith; Jian Li; Jamie Rossjohn; Anthony W Purcell; Jiangning Song
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

4.  Prominent role of secondary anchor residues in peptide binding to HLA-A2.1 molecules.

Authors:  J Ruppert; J Sidney; E Celis; R T Kubo; H M Grey; A Sette
Journal:  Cell       Date:  1993-09-10       Impact factor: 41.582

5.  HLA class I alleles are associated with peptide-binding repertoires of different size, affinity, and immunogenicity.

Authors:  Sinu Paul; Daniela Weiskopf; Michael A Angelo; John Sidney; Bjoern Peters; Alessandro Sette
Journal:  J Immunol       Date:  2013-11-04       Impact factor: 5.422

6.  MHC-I Genotype Restricts the Oncogenic Mutational Landscape.

Authors:  Rachel Marty; Saghar Kaabinejadian; David Rossell; Michael J Slifker; Joris van de Haar; Hatice Billur Engin; Nicola de Prisco; Trey Ideker; William H Hildebrand; Joan Font-Burgada; Hannah Carter
Journal:  Cell       Date:  2017-10-26       Impact factor: 41.582

7.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

Authors:  Ethan Cerami; Jianjiong Gao; Ugur Dogrusoz; Benjamin E Gross; Selcuk Onur Sumer; Bülent Arman Aksoy; Anders Jacobsen; Caitlin J Byrne; Michael L Heuer; Erik Larsson; Yevgeniy Antipin; Boris Reva; Arthur P Goldberg; Chris Sander; Nikolaus Schultz
Journal:  Cancer Discov       Date:  2012-05       Impact factor: 39.397

8.  Rapid tumor regression in an Asian lung cancer patient following personalized neo-epitope peptide vaccination.

Authors:  Fenge Li; Caixia Chen; Tao Ju; Junqin Gao; Jun Yan; Peng Wang; Qiang Xu; Patrick Hwu; Xueming Du; Gregory Lizée
Journal:  Oncoimmunology       Date:  2016-10-07       Impact factor: 8.110

Review 9.  Major Histocompatibility Complex (MHC) Class I and MHC Class II Proteins: Conformational Plasticity in Antigen Presentation.

Authors:  Marek Wieczorek; Esam T Abualrous; Jana Sticht; Miguel Álvaro-Benito; Sebastian Stolzenberg; Frank Noé; Christian Freund
Journal:  Front Immunol       Date:  2017-03-17       Impact factor: 7.561

10.  Comprehensive molecular profiling of lung adenocarcinoma.

Authors: 
Journal:  Nature       Date:  2014-07-09       Impact factor: 49.962

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