Literature DB >> 20035814

A census of predicted mutational epitopes suitable for immunologic cancer control.

René L Warren1, Robert A Holt.   

Abstract

The adaptive immune system can protect against spontaneously arising tumors, and the potential exists to reduce cancer incidence by priming adaptive immune responses with vaccines. Immunologic cancer control has been implemented for cancers caused by infectious agents, but not for spontaneous cancers caused by mutation. This is largely due to the high cost of preventative clinical trials and the lack of validated tumor epitopes. Here we evaluate, computationally, all known somatic mutations in human tumors for their antigenic potential. All possible human leukocyte antigen (HLA) class I presented peptides containing recurrent somatic cancer mutations with frequency > 5% were screened by three independent epitope prediction algorithms (SYFPEITHI, BIMAS, and IEDB). Using stringent filters, a total of 20 genes, 35 mutations, and 159 candidate epitopes were identified, each presented by up to four distinct HLA class I alleles. The top-ranking gene from our survey was KRAS, which figures prominently because there are frequent hotspot mutations in numerous, prevalent cancers, and mutant peptides are predicted to be presented by several common HLA alleles. From our data, we estimate that prophylactic vaccination could provide meaningful levels of prevention of tumors associated with common recurrent mutations. (c) 2010 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20035814     DOI: 10.1016/j.humimm.2009.12.007

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  15 in total

1.  Influence of high hydrostatic pressure on epitope mapping of tobacco mosaic virus coat protein.

Authors:  Daniel Ferreira de Lima Neto; Carlos Francisco Sampaio Bonafe; Clarice Weis Arns
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Review 2.  Tumor antigen discovery through translation of the cancer genome.

Authors:  Michael S Khodadoust; Ash A Alizadeh
Journal:  Immunol Res       Date:  2014-05       Impact factor: 2.829

Review 3.  T cell receptor mimic antibodies for cancer therapy.

Authors:  Leonid Dubrovsky; Tao Dao; Ron S Gejman; Elliott J Brea; Aaron Y Chang; Claire Y Oh; Emily Casey; Dmitry Pankov; David A Scheinberg
Journal:  Oncoimmunology       Date:  2015-06-01       Impact factor: 8.110

4.  The evolutionary significance of certain amino acid substitutions and their consequences for HIV-1 immunogenicity toward HLA's A*0201 and B*27.

Authors:  Luke Hecht; Anton Dormer
Journal:  Bioinformation       Date:  2013-03-19

5.  Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival.

Authors:  Scott D Brown; Rene L Warren; Ewan A Gibb; Spencer D Martin; John J Spinelli; Brad H Nelson; Robert A Holt
Journal:  Genome Res       Date:  2014-04-29       Impact factor: 9.043

6.  A peptide antigen derived from EGFR T790M is immunogenic in non‑small cell lung cancer.

Authors:  Kazuya Ofuji; Yoshitaka Tada; Toshiaki Yoshikawa; Manami Shimomura; Mayuko Yoshimura; Keigo Saito; Yasunari Nakamoto; Tetsuya Nakatsura
Journal:  Int J Oncol       Date:  2014-12-01       Impact factor: 5.650

7.  A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.

Authors:  Sebastian Boegel; Martin Löwer; Thomas Bukur; Ugur Sahin; John C Castle
Journal:  Oncoimmunology       Date:  2014-08-03       Impact factor: 8.110

Review 8.  Bioinformatics for cancer immunology and immunotherapy.

Authors:  Pornpimol Charoentong; Mihaela Angelova; Mirjana Efremova; Ralf Gallasch; Hubert Hackl; Jerome Galon; Zlatko Trajanoski
Journal:  Cancer Immunol Immunother       Date:  2012-09-18       Impact factor: 6.968

9.  In silico prediction of tumor antigens derived from functional missense mutations of the cancer gene census.

Authors:  Jahan S Khalili; Russell W Hanson; Zoltan Szallasi
Journal:  Oncoimmunology       Date:  2012-11-01       Impact factor: 8.110

Review 10.  Reassessing target antigens for adoptive T-cell therapy.

Authors:  Christian S Hinrichs; Nicholas P Restifo
Journal:  Nat Biotechnol       Date:  2013-10-20       Impact factor: 54.908

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