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      Pre-treatment tumor neo-antigen responses in draining lymph nodes are infrequent but predict checkpoint blockade therapy outcome

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          ABSTRACT

          Immune checkpoint blockade (ICPB) is a powerfully effective cancer therapy in some patients. Tumor neo-antigens are likely main targets for attack but it is not clear which and how many tumor mutations in individual cancers are actually antigenic, with or without ICPB therapy and their role as neo-antigen vaccines or as predictors of ICPB responses. To examine this, we interrogated the immune response to tumor neo-antigens in a murine model in which the tumor is induced by a natural human carcinogen (i.e. asbestos) and mimics its human counterpart (i.e. mesothelioma). We identified and screened 33 candidate neo-antigens, and found T cell responses against one candidate in tumor-bearing animals, mutant UQCRC2. Interestingly, we found a high degree of inter-animal variation in the magnitude of neo-antigen responses in otherwise identical mice. ICPB therapy with Cytotoxic T-lymphocyte-associated protein (CTLA-4) and α-glucocorticoid-induced TNFR family related gene (GITR) in doses that induced tumor regression, increased the magnitude of responses and unmasked functional T cell responses against another neo-antigen, UNC45a. Importantly, the magnitude of the pre-treatment draining lymph node (dLN) response to UNC45a closely corresponded to ICPB therapy outcomes. Surprisingly however, boosting pre-treatment UNC45a-specific T cell numbers did not improve response rates to ICPB. These observations suggest a novel biomarker approach to the clinical prediction of ICPB response and have important implications for the development of neo-antigen vaccines.

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          Most cited references20

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          Cancer immunotherapy. A dendritic cell vaccine increases the breadth and diversity of melanoma neoantigen-specific T cells.

          T cell immunity directed against tumor-encoded amino acid substitutions occurs in some melanoma patients. This implicates missense mutations as a source of patient-specific neoantigens. However, a systematic evaluation of these putative neoantigens as targets of antitumor immunity is lacking. Moreover, it remains unknown whether vaccination can augment such responses. We found that a dendritic cell vaccine led to an increase in naturally occurring neoantigen-specific immunity and revealed previously undetected human leukocyte antigen (HLA) class I-restricted neoantigens in patients with advanced melanoma. The presentation of neoantigens by HLA-A*02:01 in human melanoma was confirmed by mass spectrometry. Vaccination promoted a diverse neoantigen-specific T cell receptor (TCR) repertoire in terms of both TCR-β usage and clonal composition. Our results demonstrate that vaccination directed at tumor-encoded amino acid substitutions broadens the antigenic breadth and clonal diversity of antitumor immunity.
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            Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing.

            Human tumours typically harbour a remarkable number of somatic mutations. If presented on major histocompatibility complex class I molecules (MHCI), peptides containing these mutations could potentially be immunogenic as they should be recognized as 'non-self' neo-antigens by the adaptive immune system. Recent work has confirmed that mutant peptides can serve as T-cell epitopes. However, few mutant epitopes have been described because their discovery required the laborious screening of patient tumour-infiltrating lymphocytes for their ability to recognize antigen libraries constructed following tumour exome sequencing. We sought to simplify the discovery of immunogenic mutant peptides by characterizing their general properties. We developed an approach that combines whole-exome and transcriptome sequencing analysis with mass spectrometry to identify neo-epitopes in two widely used murine tumour models. Of the >1,300 amino acid changes identified, ∼13% were predicted to bind MHCI, a small fraction of which were confirmed by mass spectrometry. The peptides were then structurally modelled bound to MHCI. Mutations that were solvent-exposed and therefore accessible to T-cell antigen receptors were predicted to be immunogenic. Vaccination of mice confirmed the approach, with each predicted immunogenic peptide yielding therapeutically active T-cell responses. The predictions also enabled the generation of peptide-MHCI dextramers that could be used to monitor the kinetics and distribution of the anti-tumour T-cell response before and after vaccination. These findings indicate that a suitable prediction algorithm may provide an approach for the pharmacodynamic monitoring of T-cell responses as well as for the development of personalized vaccines in cancer patients.
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              SomaticSniper: identification of somatic point mutations in whole genome sequencing data.

              The sequencing of tumors and their matched normals is frequently used to study the genetic composition of cancer. Despite this fact, there remains a dearth of available software tools designed to compare sequences in pairs of samples and identify sites that are likely to be unique to one sample. In this article, we describe the mathematical basis of our SomaticSniper software for comparing tumor and normal pairs. We estimate its sensitivity and precision, and present several common sources of error resulting in miscalls. Binaries are freely available for download at http://gmt.genome.wustl.edu/somatic-sniper/current/, implemented in C and supported on Linux and Mac OS X. delarson@wustl.edu; lding@wustl.edu Supplementary data are available at Bioinformatics online.
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                Author and article information

                Journal
                Oncoimmunology
                Oncoimmunology
                KONI
                koni20
                Oncoimmunology
                Taylor & Francis
                2162-4011
                2162-402X
                2020
                7 November 2019
                7 November 2019
                : 9
                : 1
                : 1684714
                Affiliations
                [a ]National Centre for Asbestos Related Diseases, University of Western Australia , Nedlands, Australia
                [b ]Bioceros B.V ., Utrecht, Netherlands
                [c ]Department of Respiratory Medicine, Sir Charles Gairdner Hospital , Nedlands, Australia
                [d ]Institute of Respiratory Health, University of Western Australia , Nedlands, Australia
                Author notes
                CONTACT Jenette Creaney jenette.creaney@ 123456uwa.edu.au National Centre of Asbestos Related Diseases, University of Western Australia , M503, 35 Stirling Highway, WA 6009, Australia
                [*]

                BWSR and JC are equal senior authors on this publication.

                Author information
                http://orcid.org/0000-0002-7986-2708
                http://orcid.org/0000-0002-0937-9171
                http://orcid.org/0000-0003-1902-9033
                http://orcid.org/0000-0002-9391-9395
                Article
                1684714
                10.1080/2162402X.2019.1684714
                6959436
                32002299
                3312a594-650a-4657-a154-386f57748631
                © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 September 2019
                : 20 October 2019
                : 22 October 2019
                Page count
                Figures: 6, Tables: 1, References: 44, Pages: 13
                Funding
                Funded by: National Health and Medical Research Council 10.13039/501100000925
                Award ID: APP1107091
                SM was supported by the Australian Research Training Program and The Peter Douglas Swift Scholarship. JCh was supported by a US Department of Defense Cancer Horizon Award. BWSR and JCr received funding from National Health and Medical Research Council, Department of Health WA, Insurance Commission of WA and Cancer Council WA.
                Categories
                Original Research

                Immunology
                neo-antigen,checkpoint blockade,t cells,mesothelioma,biomarker
                Immunology
                neo-antigen, checkpoint blockade, t cells, mesothelioma, biomarker

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