Literature DB >> 27155075

Mass spectrometry-based antigen discovery for cancer immunotherapy.

Michal Bassani-Sternberg1, George Coukos2.   

Abstract

The antigenic landscape of tumors is distinct from healthy cells and has been the rationale behind a variety of vaccination trials. Typically the target tumor-associated antigens have been of self origin and have rarely induced effective anti-tumor responses. Recent data show that activation of the immune system by immune checkpoint blocking therapies leads to tumor rejection and that recognition of mutated antigens, known as 'neo-antigens' plays a key role. Discovery of neo-antigens relies mainly on prediction-based interrogation of the 'mutanome' using genomic information as input, followed by T-cell screening. Recent breakthroughs in mass spectrometry (MS) based immunopeptidomics have allowed the discovery of very large pools of naturally presented peptides, among them neo-epitopes. This review highlights the current progress related to neo-antigens discovery with emphasis on prediction algorithms and MS as well as the synergy of the two methodologies and how they can be exploited to develop effective personalized immunotherapy.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27155075     DOI: 10.1016/j.coi.2016.04.005

Source DB:  PubMed          Journal:  Curr Opin Immunol        ISSN: 0952-7915            Impact factor:   7.486


  53 in total

Review 1.  Mapping the tumour human leukocyte antigen (HLA) ligandome by mass spectrometry.

Authors:  Lena Katharina Freudenmann; Ana Marcu; Stefan Stevanović
Journal:  Immunology       Date:  2018-05-08       Impact factor: 7.397

Review 2.  The role of proteomics in the age of immunotherapies.

Authors:  Sarah A Hayes; Stephen Clarke; Nick Pavlakis; Viive M Howell
Journal:  Mamm Genome       Date:  2018-07-25       Impact factor: 2.957

3.  Identification of Tumor Antigens Among the HLA Peptidomes of Glioblastoma Tumors and Plasma.

Authors:  Bracha Shraibman; Eilon Barnea; Dganit Melamed Kadosh; Yael Haimovich; Gleb Slobodin; Itzhak Rosner; Carlos López-Larrea; Norbert Hilf; Sabrina Kuttruff; Colette Song; Cedrik Britten; John Castle; Sebastian Kreiter; Katrin Frenzel; Marcos Tatagiba; Ghazaleh Tabatabai; Pierre-Yves Dietrich; Valérie Dutoit; Wolfgang Wick; Michael Platten; Frank Winkler; Andreas von Deimling; Judith Kroep; Juan Sahuquillo; Francisco Martinez-Ricarte; Jordi Rodon; Ulrik Lassen; Christian Ottensmeier; Sjoerd H van der Burg; Per Thor Straten; Hans Skovgaard Poulsen; Berta Ponsati; Hideho Okada; Hans-Georg Rammensee; Ugur Sahin; Harpreet Singh; Arie Admon
Journal:  Mol Cell Proteomics       Date:  2019-06       Impact factor: 5.911

4.  Identification of an HLA-A*24:02-restricted α-fetoprotein signal peptide-derived antigen and its specific T-cell receptor for T-cell immunotherapy.

Authors:  Zhenjuan Li; Haiping Gong; Qiuping Liu; Wanli Wu; Jianting Cheng; Yingyi Mei; Yaolong Chen; Hongjun Zheng; Xiaohong Yu; Shi Zhong; Yi Li
Journal:  Immunology       Date:  2020-01-10       Impact factor: 7.397

5.  In silico and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

Authors:  Julien Schmidt; Philippe Guillaume; Danijel Dojcinovic; Julia Karbach; George Coukos; Immanuel Luescher
Journal:  J Biol Chem       Date:  2017-05-23       Impact factor: 5.157

6.  High-Throughput Stability Screening of Neoantigen/HLA Complexes Improves Immunogenicity Predictions.

Authors:  Dylan T Blaha; Scott D Anderson; Daniel M Yoakum; Marlies V Hager; Yuanyuan Zha; Thomas F Gajewski; David M Kranz
Journal:  Cancer Immunol Res       Date:  2018-11-13       Impact factor: 11.151

7.  The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.

Authors:  Juan Antonio Vizcaíno; Peter Kubiniok; Kevin A Kovalchik; Qing Ma; Jérôme D Duquette; Ian Mongrain; Eric W Deutsch; Bjoern Peters; Alessandro Sette; Isabelle Sirois; Etienne Caron
Journal:  Mol Cell Proteomics       Date:  2019-11-19       Impact factor: 5.911

8.  Identification of Tumor Antigens Among the HLA Peptidomes of Glioblastoma Tumors and Plasma.

Authors:  Bracha Shraibman; Eilon Barnea; Dganit Melamed Kadosh; Yael Haimovich; Gleb Slobodin; Itzhak Rosner; Carlos López-Larrea; Norbert Hilf; Sabrina Kuttruff; Colette Song; Cedrik Britten; John Castle; Sebastian Kreiter; Katrin Frenzel; Marcos Tatagiba; Ghazaleh Tabatabai; Pierre-Yves Dietrich; Valérie Dutoit; Wolfgang Wick; Michael Platten; Frank Winkler; Andreas von Deimling; Judith Kroep; Juan Sahuquillo; Francisco Martinez-Ricarte; Jordi Rodon; Ulrik Lassen; Christian Ottensmeier; Sjoerd H van der Burg; Per Thor Straten; Hans Skovgaard Poulsen; Berta Ponsati; Hideho Okada; Hans-Georg Rammensee; Ugur Sahin; Harpreet Singh; Arie Admon
Journal:  Mol Cell Proteomics       Date:  2018-08-02       Impact factor: 5.911

Review 9.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

10.  An input-controlled model system for identification of MHC bound peptides enabling laboratory comparisons of immunopeptidome experiments.

Authors:  Martin G Klatt; Zita E H Aretz; Michael Curcio; Ron S Gejman; Heather F Jones; David A Scheinberg
Journal:  J Proteomics       Date:  2020-08-03       Impact factor: 4.044

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