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      The landscape of MHC-presented phosphopeptides yields actionable shared tumor antigens for cancer immunotherapy across multiple HLA alleles

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          Abstract

          Background

          Certain phosphorylated peptides are differentially presented by major histocompatibility complex (MHC) molecules on cancer cells characterized by aberrant phosphorylation. Phosphopeptides presented in complex with the human leukocyte antigen HLA-A*02:01 provide a stability advantage over their non-phosphorylated counterparts. This stability is thought to contribute to enhanced immunogenicity. Whether tumor-associated phosphopeptides presented by other common alleles exhibit immunogenicity and structural characteristics similar to those presented by A*02:01 is unclear. Therefore, we determined the identity, structural features, and immunogenicity of phosphopeptides presented by the prevalent alleles HLA-A*03:01, HLA-A*11:01, HLA-C*07:01, and HLA-C*07:02.

          Methods

          We isolated peptide-MHC complexes by immunoprecipitation from 11 healthy and neoplastic tissue samples using mass spectrometry, and then combined the resulting data with public immunopeptidomics data sets to assemble a curated set of phosphopeptides presented by 96 samples spanning 20 distinct healthy and neoplastic tissue types. We determined the biochemical features of selected phosphopeptides by in vitro binding assays and in silico docking, and their immunogenicity by analyzing healthy donor T cells for phosphopeptide-specific multimer binding and cytokine production.

          Results

          We identified a subset of phosphopeptides presented by HLA-A*03:01, A*11:01, C*07:01 and C*07:02 on multiple tumor types, particularly lymphomas and leukemias, but not healthy tissues. These phosphopeptides are products of genes essential to lymphoma and leukemia survival. The presented phosphopeptides generally exhibited similar or worse binding to A*03:01 than their non-phosphorylated counterparts. HLA-C*07:01 generally presented phosphopeptides but not their unmodified counterparts. Phosphopeptide binding to HLA-C*07:01 was dependent on B-pocket interactions that were absent in HLA-C*07:02. While HLA-A*02:01 and HLA-A*11:01 phosphopeptide-specific T cells could be readily detected in an autologous setting even when the non-phosphorylated peptide was co-presented, HLA-A*03:01 or HLA-C*07:01 phosphopeptides were repeatedly non-immunogenic, requiring use of allogeneic T cells to induce phosphopeptide-specific T cells.

          Conclusions

          Phosphopeptides presented by multiple alleles that are differentially expressed on tumors constitute tumor-specific antigens that could be targeted for cancer immunotherapy, but the immunogenicity of such phosphopeptides is not a general feature. In particular, phosphopeptides presented by HLA-A*02:01 and A*11:01 exhibit consistent immunogenicity, while phosphopeptides presented by HLA-A*03:01 and C*07:01, although appropriately presented, are not immunogenic. Thus, to address an expanded patient population, phosphopeptide-targeted immunotherapies should be wary of allele-specific differences.

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          Most cited references49

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          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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            Defining a Cancer Dependency Map

            Most human epithelial tumors harbor numerous alterations, making it difficult to predict which genes are required for tumor survival. To systematically identify cancer dependencies, we analyzed 501 genome-scale loss-of-function screens performed in diverse human cancer cell lines. We developed DEMETER, an analytical framework that segregates on-from off-target effects of RNAi. 769 genes were differentially required in subsets of these cell lines at a threshold of six standard deviations from the mean. We found predictive models for 426 dependencies (55%) by nonlinear regression modeling considering 66,646 molecular features. Many dependencies fall into a limited number of classes, and unexpectedly, in 82% of models, the top biomarkers were expression-based. We demonstrated the basis behind one such predictive model linking hypermethylation of the UBB ubiquitin gene to a dependency on UBC. Together, these observations provide a foundation for a cancer dependency map that facilitates the prioritization of therapeutic targets.
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              ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

              We have recently completed a full re-architecturing of the ROSETTA molecular modeling program, generalizing and expanding its existing functionality. The new architecture enables the rapid prototyping of novel protocols by providing easy-to-use interfaces to powerful tools for molecular modeling. The source code of this rearchitecturing has been released as ROSETTA3 and is freely available for academic use. At the time of its release, it contained 470,000 lines of code. Counting currently unpublished protocols at the time of this writing, the source includes 1,285,000 lines. Its rapid growth is a testament to its ease of use. This chapter describes the requirements for our new architecture, justifies the design decisions, sketches out central classes, and highlights a few of the common tasks that the new software can perform. © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                J Immunother Cancer
                J Immunother Cancer
                jitc
                jitc
                Journal for Immunotherapy of Cancer
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2051-1426
                2023
                28 September 2023
                : 11
                : 9
                : e006889
                Affiliations
                [1 ]departmentImmunology Program , Ringgold_5803Memorial Sloan Kettering Cancer Center , New York, New York, USA
                [2 ]departmentDepartment of Hematology, Oncology and Tumor Immunology , Ringgold_14903Charite Universitatsmedizin Berlin , Berlin, Germany
                [3 ]Ringgold_28333German Cancer Research Center , Heidelberg, Baden-Württemberg, Germany
                [4 ]departmentBerlin Institute of Health at Charité –Universitätsmedizin Berlin , BIH Biomedical 13 Innovation Academy, BIH Charité Clinician Scientist Program , Berlin, Germany
                [5 ]departmentDepartment of Pediatrics, Molecular Pharmacology Program , Ringgold_5803Memorial Sloan Kettering Cancer Center , New York, New York, USA
                [6 ]departmentDepartment of Pediatrics , Ringgold_5803Memorial Sloan Kettering Cancer Center , New York, New York, USA
                [7 ]Ringgold_12295Weill Cornell Medicine , New York, New York, USA
                Author notes
                [Correspondence to ] Dr Zaki Molvi; zakimolvi@ 123456gmail.com
                Author information
                http://orcid.org/0000-0001-6728-4835
                http://orcid.org/0000-0001-8703-7305
                Article
                jitc-2023-006889
                10.1136/jitc-2023-006889
                10546156
                37775115
                9dde5090-8d5c-4f22-848d-d9064e7f05a3
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 23 August 2023
                Funding
                Funded by: The Aubrey Fund;
                Award ID: N/A
                Funded by: Edith Robertson Foundation;
                Award ID: N/A
                Funded by: NIH/NCI Cancer Center Support Grant;
                Award ID: P30 CA008748
                Funded by: BIH Charité Clinician Scientist Program;
                Funded by: NIH NCI;
                Award ID: PO1 CA23766
                Award ID: R35 CA241894
                Funded by: FundRef http://dx.doi.org/10.13039/100001445, Alex's Lemonade Stand Foundation for Childhood Cancer;
                Award ID: GR-000002624
                Funded by: NCI;
                Award ID: 1R50CA265328
                Funded by: Steven A. Greenberg Lymphoma Research Award;
                Award ID: GC-242236
                Funded by: Richard “Rick” J. Eisemann Pediatric Research Fund;
                Award ID: N/A
                Funded by: FundRef http://dx.doi.org/10.13039/100013352, Tow Foundation;
                Award ID: N/A
                Funded by: NIH;
                Award ID: P41-GM103311
                Categories
                Basic Tumor Immunology
                1506
                2434
                Original research
                Custom metadata
                unlocked

                antigens,antigen presentation,cd8-positive t-lymphocytes,hematologic neoplasms,antigens, tumor-associated, carbohydrate

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