1
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Goyal A, Bauer J, Hey J, Papageorgiou DN, Stepanova E, Daskalakis M, Scheid J, Dubbelaar M, Klimovich B, Schwarz D, Märklin M, Roerden M, Lin YY, Ma T, Mücke O, Rammensee HG, Lübbert M, Loayza-Puch F, Krijgsveld J, Walz JS, Plass C. DNMT and HDAC inhibition induces immunogenic neoantigens from human endogenous retroviral element-derived transcripts. Nat Commun 2023; 14:6731. [PMID: 37872136 PMCID: PMC10593957 DOI: 10.1038/s41467-023-42417-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 10/11/2023] [Indexed: 10/25/2023] Open
Abstract
Immunotherapies targeting cancer-specific neoantigens have revolutionized the treatment of cancer patients. Recent evidence suggests that epigenetic therapies synergize with immunotherapies, mediated by the de-repression of endogenous retroviral element (ERV)-encoded promoters, and the initiation of transcription. Here, we use deep RNA sequencing from cancer cell lines treated with DNA methyltransferase inhibitor (DNMTi) and/or Histone deacetylase inhibitor (HDACi), to assemble a de novo transcriptome and identify several thousand ERV-derived, treatment-induced novel polyadenylated transcripts (TINPATs). Using immunopeptidomics, we demonstrate the human leukocyte antigen (HLA) presentation of 45 spectra-validated treatment-induced neopeptides (t-neopeptides) arising from TINPATs. We illustrate the potential of the identified t-neopeptides to elicit a T-cell response to effectively target cancer cells. We further verify the presence of t-neopeptides in AML patient samples after in vivo treatment with the DNMT inhibitor Decitabine. Our findings highlight the potential of ERV-derived neoantigens in epigenetic and immune therapies.
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Affiliation(s)
- Ashish Goyal
- Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jens Bauer
- Department of Peptide-based Immunotherapy, University of Tübingen and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Joschka Hey
- Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German-Israeli Helmholtz Research School in Cancer Biology, Heidelberg, Germany
- German Center for Lung Research, (DZL) partner site Heidelberg, Heidelberg, Germany
| | - Dimitris N Papageorgiou
- Division of Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | - Ekaterina Stepanova
- Translational Control and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Daskalakis
- Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Hematology and Central Hematology Laboratory, Inselspital, Bern, University Hospital, University of Bern, Bern, Switzerland
| | - Jonas Scheid
- Department of Peptide-based Immunotherapy, University of Tübingen and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
| | - Marissa Dubbelaar
- Department of Peptide-based Immunotherapy, University of Tübingen and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
| | - Boris Klimovich
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Dominic Schwarz
- Division of Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Melanie Märklin
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Malte Roerden
- Department of Peptide-based Immunotherapy, University of Tübingen and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Yu-Yu Lin
- Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tobias Ma
- Department of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Oliver Mücke
- Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hans-Georg Rammensee
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Michael Lübbert
- Department of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabricio Loayza-Puch
- Translational Control and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen Krijgsveld
- Division of Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | - Juliane S Walz
- Department of Peptide-based Immunotherapy, University of Tübingen and University Hospital Tübingen, Tübingen, Germany.
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
| | - Christoph Plass
- Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- German Center for Lung Research, (DZL) partner site Heidelberg, Heidelberg, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
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2
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Mamrosh JL, Sherman DJ, Cohen JR, Johnston JA, Joubert MK, Li J, Lipford JR, Lomenick B, Moradian A, Prabhu S, Sweredoski MJ, Vander Lugt B, Verma R, Deshaies RJ. Quantitative measurement of the requirement of diverse protein degradation pathways in MHC class I peptide presentation. SCIENCE ADVANCES 2023; 9:eade7890. [PMID: 37352349 PMCID: PMC10289651 DOI: 10.1126/sciadv.ade7890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 05/17/2023] [Indexed: 06/25/2023]
Abstract
Peptides from degradation of intracellular proteins are continuously displayed by major histocompatibility complex (MHC) class I. To better understand origins of these peptides, we performed a comprehensive census of the class I peptide repertoire in the presence and absence of ubiquitin-proteasome system (UPS) activity upon developing optimized methodology to enrich for and quantify these peptides. Whereas most class I peptides are dependent on the UPS for their generation, a surprising 30%, enriched in peptides of mitochondrial origin, appears independent of the UPS. A further ~10% of peptides were found to be dependent on the proteasome but independent of ubiquitination for their generation. Notably, clinically achievable partial inhibition of the proteasome resulted in display of atypical peptides. Our results suggest that generation of MHC class I•peptide complexes is more complex than previously recognized, with UPS-dependent and UPS-independent components; paradoxically, alternative protein degradation pathways also generate class I peptides when canonical pathways are impaired.
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Affiliation(s)
- Jennifer L. Mamrosh
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Amgen Research, Thousand Oaks, CA 91320, USA
| | - David J. Sherman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Amgen Research, Thousand Oaks, CA 91320, USA
| | - Joseph R. Cohen
- Process Development, Amgen Inc., Thousand Oaks, CA 91320, USA
| | | | | | - Jing Li
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Amgen Research, Thousand Oaks, CA 91320, USA
| | | | - Brett Lomenick
- Proteome Exploration Laboratory, California Institute of Technology, Pasadena, CA 91125, USA
| | - Annie Moradian
- Proteome Exploration Laboratory, California Institute of Technology, Pasadena, CA 91125, USA
| | | | - Michael J. Sweredoski
- Proteome Exploration Laboratory, California Institute of Technology, Pasadena, CA 91125, USA
| | | | - Rati Verma
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Amgen Research, Thousand Oaks, CA 91320, USA
| | - Raymond J. Deshaies
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Amgen Research, Thousand Oaks, CA 91320, USA
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3
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Shapiro IE, Bassani-Sternberg M. The impact of immunopeptidomics: From basic research to clinical implementation. Semin Immunol 2023; 66:101727. [PMID: 36764021 DOI: 10.1016/j.smim.2023.101727] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 02/10/2023]
Abstract
The immunopeptidome is the set of peptides presented by the major histocompatibility complex (MHC) molecules, in humans also known as the human leukocyte antigen (HLA), on the surface of cells that mediate T-cell immunosurveillance. The immunopeptidome is a sampling of the cellular proteome and hence it contains information about the health state of cells. The peptide repertoire is influenced by intra- and extra-cellular perturbations - such as in the case of drug exposure, infection, or oncogenic transformation. Immunopeptidomics is the bioanalytical method by which the presented peptides are extracted from biological samples and analyzed by high-performance liquid chromatography coupled to tandem mass spectrometry (MS), resulting in a deep qualitative and quantitative snapshot of the immunopeptidome. In this review, we discuss published immunopeptidomics studies from recent years, grouped into three main domains: i) basic, ii) pre-clinical and iii) clinical research and applications. We review selected fundamental immunopeptidomics studies on the antigen processing and presentation machinery, on HLA restriction and studies that advanced our understanding of various diseases, and how exploration of the antigenic landscape allowed immune targeting at the pre-clinical stage, paving the way to pioneering exploratory clinical trials where immunopeptidomics is directly implemented in the conception of innovative treatments for cancer patients.
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Affiliation(s)
- Ilja E Shapiro
- Ludwig Institute for Cancer Research, University of Lausanne, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, University of Lausanne, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Center of Experimental Therapeutics, Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), 1005 Lausanne, Switzerland.
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4
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[Tumor vaccination-strategies and time points]. Internist (Berl) 2021; 62:991-997. [PMID: 34398265 DOI: 10.1007/s00108-021-01138-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Immunotherapies have gained increasing importance in the treatment of cancer in recent years. This also includes tumor vaccines, which are used therapeutically to direct the immune system specifically against tumor cells. OBJECTIVES Different strategies of tumor vaccination, their current state of development, the optimal timing and possible combinations of cancer vaccines in the treatment of cancer are discussed. METHODS Scientific publications on various tumor vaccination strategies based on ongoing studies that are listed on clinicaltrials.gov are summarized. CONCLUSIONS For effective tumor vaccination, the selection of suitable tumor antigens present on the cell surface via human leukocyte antigen (HLA) molecules is essential. Suitable antigens should be present exclusively on tumor cells and able to induce a specific anti-tumor immune response, i.e. activate cytotoxic and T helper cells. For this purpose, neoepitopes derived from tumor-specific mutations or tumor-associated antigens (TAAs), which are present exclusively in tumor tissue due to altered gene expression or processing, can be used. For the application of the antigens, various strategies combined with suitable adjuvants are available, including peptide vaccines, DNA- or RNA-based vaccines, approaches with dendritic cells or whole tumor cell vaccines. Currently, numerous vaccination approaches as well as combination protocols are being evaluated in clinical trials with the aim to establish specific and low side effect immunotherapies to combat malignancies and enable long-term protection from disease recurrence via the induction of long-lasting antitumor immune responses.
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5
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Casey M, Nakamura K. The Cancer-Immunity Cycle in Multiple Myeloma. Immunotargets Ther 2021; 10:247-260. [PMID: 34295843 PMCID: PMC8291851 DOI: 10.2147/itt.s305432] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 07/10/2021] [Indexed: 12/23/2022] Open
Abstract
Multiple myeloma is a plasma cell malignancy that primarily affects the elderly. The global burden of multiple myeloma is increasing in many countries due to an aging population. Despite recent advances in therapy, myeloma remains an incurable disease, highlighting the pressing need for new therapies. Accumulating evidence supports that triggering the host immune system is a critical therapeutic mechanism of action by various anti-myeloma therapies. These anti-myeloma therapies include proteasome inhibitors, immunomodulatory drugs, monoclonal antibody drugs, and autologous stem cell transplantation. More recently, T cell-based immunotherapeutics (including chimeric antigen receptor T-cell therapies and bispecific T-cell engagers) have shown dramatic clinical benefits in patients with relapsed or refractory multiple myeloma. While immune-based therapeutic approaches are recognized as key modalities for improved clinical outcomes in myeloma patients, understanding the immune system in multiple myeloma patients remains elusive. The cancer-immunity cycle is a conceptual framework illustrating how immune cells recognize and eliminate tumor cells. Based on this framework, this review will provide an overview of the immune system in multiple myeloma patients and discuss potential therapeutic approaches to stimulate anti-tumor immunity.
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Affiliation(s)
- Mika Casey
- Immune Targeting in Blood Cancers Laboratory, QIMR Berghofer Medical Research Institute, Herston, 4006, Australia
| | - Kyohei Nakamura
- Immune Targeting in Blood Cancers Laboratory, QIMR Berghofer Medical Research Institute, Herston, 4006, Australia
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6
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Nelde A, Maringer Y, Bilich T, Salih HR, Roerden M, Heitmann JS, Marcu A, Bauer J, Neidert MC, Denzlinger C, Illerhaus G, Aulitzky WE, Rammensee HG, Walz JS. Immunopeptidomics-Guided Warehouse Design for Peptide-Based Immunotherapy in Chronic Lymphocytic Leukemia. Front Immunol 2021; 12:705974. [PMID: 34305947 PMCID: PMC8297687 DOI: 10.3389/fimmu.2021.705974] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 06/24/2021] [Indexed: 12/30/2022] Open
Abstract
Antigen-specific immunotherapies, in particular peptide vaccines, depend on the recognition of naturally presented antigens derived from mutated and unmutated gene products on human leukocyte antigens, and represent a promising low-side-effect concept for cancer treatment. So far, the broad application of peptide vaccines in cancer patients is hampered by challenges of time- and cost-intensive personalized vaccine design, and the lack of neoepitopes from tumor-specific mutations, especially in low-mutational burden malignancies. In this study, we developed an immunopeptidome-guided workflow for the design of tumor-associated off-the-shelf peptide warehouses for broadly applicable personalized therapeutics. Comparative mass spectrometry-based immunopeptidome analyses of primary chronic lymphocytic leukemia (CLL) samples, as representative example of low-mutational burden tumor entities, and a dataset of benign tissue samples enabled the identification of high-frequent non-mutated CLL-associated antigens. These antigens were further shown to be recognized by pre-existing and de novo induced T cells in CLL patients and healthy volunteers, and were evaluated as pre-manufactured warehouse for the construction of personalized multi-peptide vaccines in a first clinical trial for CLL (NCT04688385). This workflow for the design of peptide warehouses is easily transferable to other tumor entities and can provide the foundation for the development of broad personalized T cell-based immunotherapy approaches.
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Affiliation(s)
- Annika Nelde
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Yacine Maringer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Tatjana Bilich
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Malte Roerden
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.,Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Jonas S Heitmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Ana Marcu
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Jens Bauer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Marian C Neidert
- Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | | | - Gerald Illerhaus
- Clinic for Hematology and Oncology, Klinikum Stuttgart, Stuttgart, Germany
| | - Walter Erich Aulitzky
- Department of Hematology, Oncology and Palliative Medicine, Robert-Bosch-Krankenhaus Stuttgart, Stuttgart, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - Juliane S Walz
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.,Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology and Robert Bosch Center for Tumor Diseases (RBCT), Stuttgart, Germany
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7
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Nelde A, Rammensee HG, Walz JS. The Peptide Vaccine of the Future. Mol Cell Proteomics 2021; 20:100022. [PMID: 33583769 PMCID: PMC7950068 DOI: 10.1074/mcp.r120.002309] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/27/2020] [Accepted: 12/07/2020] [Indexed: 12/14/2022] Open
Abstract
The approach of peptide-based anticancer vaccination has proven the ability to induce cancer-specific immune responses in multiple studies for various cancer entities. However, clinical responses remain so far limited to single patients and broad clinical applicability was not achieved. Therefore, further efforts are required to improve peptide vaccination in order to integrate this low-side-effect therapy into the clinical routine of cancer therapy. To design clinically effective peptide vaccines in the future, different issues have to be addressed and optimized comprising antigen target selection as well as choice of optimal adjuvants and vaccination schedules. Furthermore, the combination of peptide-based vaccines with other immuno- and molecular targeted therapies as well as the development of predictive biomarkers could further improve efficacy. In this review, current approaches in the development of peptide-based vaccines and critical implications for optimal vaccine design are discussed.
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Affiliation(s)
- Annika Nelde
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), University Hospital Tübingen, Tübingen, Germany; Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Juliane S Walz
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), University Hospital Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
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8
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Jones HF, Molvi Z, Klatt MG, Dao T, Scheinberg DA. Empirical and Rational Design of T Cell Receptor-Based Immunotherapies. Front Immunol 2021; 11:585385. [PMID: 33569049 PMCID: PMC7868419 DOI: 10.3389/fimmu.2020.585385] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 12/04/2020] [Indexed: 01/04/2023] Open
Abstract
The use of T cells reactive with intracellular tumor-associated or tumor-specific antigens has been a promising strategy for cancer immunotherapies in the past three decades, but the approach has been constrained by a limited understanding of the T cell receptor’s (TCR) complex functions and specificities. Newer TCR and T cell-based approaches are in development, including engineered adoptive T cells with enhanced TCR affinities, TCR mimic antibodies, and T cell-redirecting bispecific agents. These new therapeutic modalities are exciting opportunities by which TCR recognition can be further exploited for therapeutic benefit. In this review we summarize the development of TCR-based therapeutic strategies and focus on balancing efficacy and potency versus specificity, and hence, possible toxicity, of these powerful therapeutic modalities.
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Affiliation(s)
- Heather F Jones
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Weill Cornell Medicine, New York, NY, United States
| | - Zaki Molvi
- Weill Cornell Medicine, New York, NY, United States.,Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Martin G Klatt
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Tao Dao
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - David A Scheinberg
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Weill Cornell Medicine, New York, NY, United States
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9
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Rammensee HG, Löffler MW, Walz JS, Bokemeyer C, Haen SP, Gouttefangeas C. [Tumor vaccines-therapeutic vaccination against cancer]. Internist (Berl) 2020; 61:690-698. [PMID: 32462251 DOI: 10.1007/s00108-020-00814-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Tumor cells always exhibit differences to normal cells. These differences can be recognized by the immune system, enabling the destruction of tumor cells by T cells, as was impressively demonstrated by the success of immune checkpoint inhibition, e.g., in malignant melanoma. Many cancers, however, do not respond to this kind of therapy. In these cases, vaccination against tumor antigens could be very helpful. Nevertheless, all of the efforts made in this respect during the past 30 years have been virtually futile. With current knowledge and technology there is new hope.
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Affiliation(s)
- H-G Rammensee
- Interfakultäres Institut für Zellbiologie (IFIZ), Abteilung Immunologie, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 15, 72076, Tübingen, Deutschland. .,Deutsches Konsortium für Translationale Krebsforschung (DKTK) am Deutschen Krebsforschungszentrum (DKFZ), Partnerstandort Tübingen, Tübingen, Deutschland. .,Exzellenzcluster iFIT (EXC2180) "Individualisierung von Tumortherapien durch molekulare Bildgebung und funktionelle Identifizierung therapeutischer Zielstrukturen", Tübingen, Deutschland.
| | - M W Löffler
- Interfakultäres Institut für Zellbiologie (IFIZ), Abteilung Immunologie, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 15, 72076, Tübingen, Deutschland.,Deutsches Konsortium für Translationale Krebsforschung (DKTK) am Deutschen Krebsforschungszentrum (DKFZ), Partnerstandort Tübingen, Tübingen, Deutschland.,Exzellenzcluster iFIT (EXC2180) "Individualisierung von Tumortherapien durch molekulare Bildgebung und funktionelle Identifizierung therapeutischer Zielstrukturen", Tübingen, Deutschland.,Abteilung für Allgemeine, Viszeral- und Transplantationschirurgie, Universitätsklinikum Tübingen, Tübingen, Deutschland.,Abteilung Klinische Pharmakologie, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - J S Walz
- Interfakultäres Institut für Zellbiologie (IFIZ), Abteilung Immunologie, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 15, 72076, Tübingen, Deutschland.,Deutsches Konsortium für Translationale Krebsforschung (DKTK) am Deutschen Krebsforschungszentrum (DKFZ), Partnerstandort Tübingen, Tübingen, Deutschland.,Exzellenzcluster iFIT (EXC2180) "Individualisierung von Tumortherapien durch molekulare Bildgebung und funktionelle Identifizierung therapeutischer Zielstrukturen", Tübingen, Deutschland.,Medizinische Klinik II für Hämatologie, Onkologie, Immunologie und Rheumatologie, Universitätsklinikum Tübingen, Tübingen, Deutschland.,Klinische Kooperationseinheit (KKE) für Translationale Immunologie, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - C Bokemeyer
- Zentrum für Onkologie, II. Medizinische Klinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - S P Haen
- Interfakultäres Institut für Zellbiologie (IFIZ), Abteilung Immunologie, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 15, 72076, Tübingen, Deutschland.,Deutsches Konsortium für Translationale Krebsforschung (DKTK) am Deutschen Krebsforschungszentrum (DKFZ), Partnerstandort Tübingen, Tübingen, Deutschland.,Zentrum für Onkologie, II. Medizinische Klinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - C Gouttefangeas
- Interfakultäres Institut für Zellbiologie (IFIZ), Abteilung Immunologie, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 15, 72076, Tübingen, Deutschland.,Deutsches Konsortium für Translationale Krebsforschung (DKTK) am Deutschen Krebsforschungszentrum (DKFZ), Partnerstandort Tübingen, Tübingen, Deutschland.,Exzellenzcluster iFIT (EXC2180) "Individualisierung von Tumortherapien durch molekulare Bildgebung und funktionelle Identifizierung therapeutischer Zielstrukturen", Tübingen, Deutschland
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10
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Mohme M, Neidert MC. Tumor-Specific T Cell Activation in Malignant Brain Tumors. Front Immunol 2020; 11:205. [PMID: 32117316 PMCID: PMC7031483 DOI: 10.3389/fimmu.2020.00205] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 01/27/2020] [Indexed: 12/17/2022] Open
Abstract
Due to their delicate locations as well as aggressive and infiltrative behavior, malignant brain tumors remain a therapeutic challenge. Harnessing the efficacy and specificity of the T-cell response to counteract malignant brain tumor progression and recurrence, represents an attractive treatment option. With the tremendous advances in the current era of immunotherapy, ongoing studies aim to determine the best treatment strategies for mounting a tumor-specific immune response against malignant brain tumors. However, immunosuppression in the local tumor environment, molecular and cellular heterogeneity as well as a lack of suitable targets for tumor-specific vaccination impede the successful implementation of immunotherapeutic treatment strategies in neuro-oncology. In this review, we therefore discuss the role of T cell exhaustion, the genetic and antigenic landscape, potential pitfalls and ongoing efforts to overcome the individual challenges in order to elicit a tumor-specific T cell response.
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Affiliation(s)
- Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marian Christoph Neidert
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.,Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Broad Institute of Harvard and MIT, Cambridge, MA, United States
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11
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Contribution of the plasma and lymph Degradome and Peptidome to the MHC Ligandome. Immunogenetics 2018; 71:203-216. [PMID: 30343358 DOI: 10.1007/s00251-018-1093-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 10/09/2018] [Indexed: 12/15/2022]
Abstract
Every biological fluid, blood, interstitial fluid and lymph, urine, saliva, lacrimal fluid, nipple aspirate, and spinal fluid, contains a peptidome-degradome derived from the cellular secretome along with byproducts of the metabolic/catabolic activities of each parenchymal organ. Clement et al. (J Proteomics 78:172-187, 2013), Clement et al. (J Biol Chem 291:5576-5595, 2016), Clement et al. (PLoS One 5:e9863, 2010), Clement et al. (Trends Immunol 32:6-11, 2011), Clement et al. (Front Immunol 4:424, 2013), Geho et al. (Curr Opin Chem Biol 10, 50-55, 2006), Interewicz et al. (Lymphology 37:65‑72, 2004), Leak et al. (Proteomics 4:753‑765, 2004), Popova et al. (PLoS One 9:e110873, 2014), Zhou et al. (Electrophoresis 25:1289‑1298, 2004), D'Alessandro et al. (Shock 42:509‑517, 2014), Dzieciatkowska et al. (Shock 42:485‑498, 2014), Dzieciatkowska et al. (Shock 35:331‑338, 2011), Jordan et al. (J Surg Res 143:130‑135, 2007), Peltz et al. (Surgery 146:347‑357, 2009), Zurawel et al. (Clin Proteomics 8:1, 2011), Ling et al. (Clin Proteomics 6:175‑193, 2010), Sturm et al. (Nat Commun 4:1616, 2013). Over the last decade, qualitative and quantitative analysis of the biological fluids peptidome and degradome have provided a dynamic measurement of tissue homeostasis as well as the tissue response to pathological damage. Proteomic profiling has mapped several of the proteases and resulting degradation by-products derived from cell cycle progression, organ/tissue remodeling and cellular growth, physiological apoptosis, hemostasis, and angiogenesis. Currently, a growing interest lies in the degradome observed during pathological conditions such as cancer, autoimmune diseases, and immune responses to pathogens as a way to exploit biological fluids as liquid biopsies for biomarker discovery Dzieciatkowska et al. (Shock 42:485-498, 2014), Dzieciatkowska et al. (Shock 35:331-338, 2011), Ling et al. (Clin Proteomics 6:175-193, 2010), Ugalde et al. (Methods Mol Biol 622:3-29, 2010), Quesada et al. (Nucleic Acids Res 37:D239‑243, 2009), Cal et al. (Front Biosci 12, 4661-4669, 2007), Shen et al. (PLoS One 5:e13133, 2010a), Antwi et al. (Mol Immunol 46:2931-2937, 2009a), Antwi et al. (J Proteome Res 8:4722‑4731, 2009b), Bedin et al. (J Cell Physiol 231, 915‑925, 2016), Bery et al. (Clin Proteomics 11:13, 2014), Bhalla et al. (Sci Rep 7:1511, 2017), Fan et al. (Diagn Pathol 7:45, 2012a), Fang et al. (Shock 34:291‑298, 2010), Fiedler et al. (Clin Cancer Res 15:3812‑3819, 2009), Fredolini et al. (AAPS J 12:504‑518, 2010), Greening et al. (Enzymes 42:27‑64, 2017), He et al. (PLoS One 8:e63724, 2013), Huang et al. (Int J Gynecol Cancer 28:355‑362, 2018), Hashiguchi et al. (Med Hypotheses 73:760‑763, 2009), Liotta and Petricoin (J Clin Invest 116:26‑30, 2006), Petricoin et al. (Nat Rev Cancer 6:961‑967, 2006), Shen et al. (J Proteome Res 9:2339‑2346, 2010a), Shen et al. (J Proteome Res 5:3154‑3160, 2006), Smith (Clin Proteomics 11:23, 2014), Wang et al. (Oncotarget 8:59376‑59386, 2017), Yang et al. (Clin Exp Med 12:79‑87, 2012a), Yang et al. (J Clin Lab Anal 26:148‑154, 2012b), Yang et al. (Anat Rec (Hoboken) 293:2027‑2033, 2010), Zapico-Muniz et al. (Pancreas 39:1293‑1298, 2010), Villanueva et al. (Mol Cell Proteomics 5:1840‑1852, 2006), Robbins et al. (J Clin Oncol 23:4835‑4837, 2005), Klupczynska et al. (Int J Mol Sci 17:410, 2016). In this review, we focus on the current knowledge of the degradome/peptidome observed in two main biological fluids (plasma and lymph) during physiological and pathological conditions and its importance for immune surveillance.
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12
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Löffler MW, Kowalewski DJ, Backert L, Bernhardt J, Adam P, Schuster H, Dengler F, Backes D, Kopp HG, Beckert S, Wagner S, Königsrainer I, Kohlbacher O, Kanz L, Königsrainer A, Rammensee HG, Stevanović S, Haen SP. Mapping the HLA Ligandome of Colorectal Cancer Reveals an Imprint of Malignant Cell Transformation. Cancer Res 2018; 78:4627-4641. [PMID: 29789417 DOI: 10.1158/0008-5472.can-17-1745] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 10/15/2017] [Accepted: 05/16/2018] [Indexed: 11/16/2022]
Abstract
Immune cell infiltrates have proven highly relevant for colorectal carcinoma prognosis, making colorectal cancer a promising candidate for immunotherapy. Because tumors interact with the immune system via HLA-presented peptide ligands, exact knowledge of the peptidome constitution is fundamental for understanding this relationship. Here, we comprehensively describe the naturally presented HLA ligandome of colorectal carcinoma and corresponding nonmalignant colon (NMC) tissue. Mass spectrometry identified 35,367 and 28,132 HLA class I ligands on colorectal carcinoma and NMC, attributable to 7,684 and 6,312 distinct source proteins, respectively. Cancer-exclusive peptides were assessed on source protein level using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein analysis through evolutionary relationships (PANTHER), revealing pathognomonic colorectal carcinoma-associated pathways, including Wnt, TGFβ, PI3K, p53, and RTK-RAS. Relative quantitation of peptide presentation on paired colorectal carcinoma and NMC tissue further identified source proteins from cancer- and infection-associated pathways to be overrepresented merely within the colorectal carcinoma ligandome. From the pool of tumor-exclusive peptides, a selected HLA-ligand subset was assessed for immunogenicity, with the majority exhibiting an existing T-cell repertoire. Overall, these data show that the HLA ligandome reflects cancer-associated pathways implicated in colorectal carcinoma oncogenesis, suggesting that alterations in tumor cell metabolism could result in cancer-specific, albeit not mutation-derived, tumor antigens. Hence, a defined pool of unique tumor peptides, attributable to complex cellular alterations that are exclusive to malignant cells, might comprise promising candidates for immunotherapeutic applications.Significance: Cancer-associated pathways are reflected in the antigenic landscape of colorectal cancer, suggesting that tumor-specific antigens do not necessarily have to be mutation-derived but may also originate from other alterations in cancer cells. Cancer Res; 78(16); 4627-41. ©2018 AACR.
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Affiliation(s)
- Markus W Löffler
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany. .,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.,University Hospital Tübingen, Department of General, Visceral and Transplant Surgery, Tübingen, Germany
| | - Daniel J Kowalewski
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Linus Backert
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany.,University of Tübingen, Center for Bioinformatics, Tübingen, Germany
| | - Jörg Bernhardt
- University of Greifswald, Institute of Microbiology, Greifswald, Germany
| | | | - Heiko Schuster
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Florian Dengler
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany.,University Hospital Tübingen, Department of Oncology, Hematology, Immunology, Rheumatology and Pulmonology, Tübingen, Germany
| | - Daniel Backes
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany.,University Hospital Tübingen, Department of Oncology, Hematology, Immunology, Rheumatology and Pulmonology, Tübingen, Germany
| | - Hans-Georg Kopp
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.,University Hospital Tübingen, Department of Oncology, Hematology, Immunology, Rheumatology and Pulmonology, Tübingen, Germany
| | - Stefan Beckert
- University Hospital Tübingen, Department of General, Visceral and Transplant Surgery, Tübingen, Germany
| | - Silvia Wagner
- University Hospital Tübingen, Department of General, Visceral and Transplant Surgery, Tübingen, Germany
| | - Ingmar Königsrainer
- University Hospital Tübingen, Department of General, Visceral and Transplant Surgery, Tübingen, Germany
| | - Oliver Kohlbacher
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.,University of Tübingen, Center for Bioinformatics, Tübingen, Germany.,University of Tübingen, Quantitative Biology Center (QBiC), Tübingen, Germany.,Max Planck Institute for Developmental Biology, Biomolecular Interactions, Tübingen, Germany
| | - Lothar Kanz
- University Hospital Tübingen, Department of Oncology, Hematology, Immunology, Rheumatology and Pulmonology, Tübingen, Germany
| | - Alfred Königsrainer
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.,University Hospital Tübingen, Department of General, Visceral and Transplant Surgery, Tübingen, Germany
| | - Hans-Georg Rammensee
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany
| | - Sebastian P Haen
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.,University Hospital Tübingen, Department of Oncology, Hematology, Immunology, Rheumatology and Pulmonology, Tübingen, Germany
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13
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Freudenmann LK, Marcu A, Stevanović S. Mapping the tumour human leukocyte antigen (HLA) ligandome by mass spectrometry. Immunology 2018; 154:331-345. [PMID: 29658117 DOI: 10.1111/imm.12936] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 03/29/2018] [Accepted: 04/02/2018] [Indexed: 12/13/2022] Open
Abstract
The entirety of human leukocyte antigen (HLA)-presented peptides is referred to as the HLA ligandome of a cell or tissue, in tumours often termed immunopeptidome. Mapping the tumour immunopeptidome by mass spectrometry (MS) comprehensively views the pathophysiologically relevant antigenic signature of human malignancies. MS is an unbiased approach stringently filtering the candidates to be tested as opposed to epitope prediction algorithms. In the setting of peptide-specific immunotherapies, MS-based strategies significantly diminish the risk of lacking clinical benefit, as they yield highly enriched amounts of truly presented peptides. Early immunopeptidomic efforts were severely limited by technical sensitivity and manual spectra interpretation. The technological progress with development of orbitrap mass analysers and enhanced chromatographic performance led to vast improvements in mass accuracy, sensitivity, resolution, and speed. Concomitantly, bioinformatic tools were developed to process MS data, integrate sequencing results, and deconvolute multi-allelic datasets. This enabled the immense advancement of tumour immunopeptidomics. Studying the HLA-presented peptide repertoire bears high potential for both answering basic scientific questions and translational application. Mapping the tumour HLA ligandome has started to significantly contribute to target identification for the design of peptide-specific cancer immunotherapies in clinical trials and compassionate need treatments. In contrast to prediction algorithms, rare HLA allotypes and HLA class II can be adequately addressed when choosing MS-guided target identification platforms. Herein, we review the identification of tumour HLA ligands focusing on sources, methods, bioinformatic data analysis, translational application, and provide an outlook on future developments.
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Affiliation(s)
- Lena Katharina Freudenmann
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Ana Marcu
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
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14
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Nelde A, Kowalewski DJ, Backert L, Schuster H, Werner JO, Klein R, Kohlbacher O, Kanz L, Salih HR, Rammensee HG, Stevanović S, Walz JS. HLA ligandome analysis of primary chronic lymphocytic leukemia (CLL) cells under lenalidomide treatment confirms the suitability of lenalidomide for combination with T-cell-based immunotherapy. Oncoimmunology 2018; 7:e1316438. [PMID: 29632711 DOI: 10.1080/2162402x.2017.1316438] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 03/14/2017] [Accepted: 03/31/2017] [Indexed: 02/06/2023] Open
Abstract
Recent studies suggest that CLL is an immunogenic disease, which might be effectively targeted by antigen-specific T-cell-based immunotherapy. However, CLL is associated with a profound immune defect, which might represent a critical limitation for mounting clinically effective antitumor immune responses. As several studies have demonstrated that lenalidomide can reinforce effector T-cell responses in CLL, the combination of T-cell-based immunotherapy with the immunomodulatory drug lenalidomide represents a promising approach to overcome the immunosuppressive state in CLL. Antigen-specific immunotherapy also requires the robust presentation of tumor-associated HLA-presented antigens on target cells. We thus performed a longitudinal study of the effect of lenalidomide on the HLA ligandome of primary CLL cells in vitro. We showed that lenalidomide exposure does not affect absolute HLA class I and II surface expression levels on primary CLL cells. Importantly, semi-quantitative mass spectrometric analyses of the HLA peptidome of three CLL patient samples found only minor qualitative and quantitative effects of lenalidomide on HLA class I- and II-restricted peptide presentation. Furthermore, we confirmed stable presentation of previously described CLL-associated antigens under lenalidomide treatment. Strikingly, among the few HLA ligands showing significant modulation under lenalidomide treatment, we identified upregulated IKZF-derived peptides, which may represent a direct reflection of the cereblon-mediated effect of lenalidomide on CLL cells. Since we could not observe any relevant influence of lenalidomide on the established CLL-associated antigen targets of anticancer T-cell responses, this study validates the suitability of lenalidomide for the combination with antigen-specific T-cell-based immunotherapies.
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Affiliation(s)
- Annika Nelde
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Department of Hematology and Oncology, University of Tübingen, Tübingen, Germany
| | - Daniel J Kowalewski
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Immatics Biotechnologies GmbH, Tübingen, Germany
| | - Linus Backert
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Heiko Schuster
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Immatics Biotechnologies GmbH, Tübingen, Germany
| | - Jan-Ole Werner
- Department of Hematology and Oncology, University of Tübingen, Tübingen, Germany
| | - Reinhild Klein
- Department of Hematology and Oncology, University of Tübingen, Tübingen, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany.,Quantitative Biology Center, University of Tübingen, Tübingen, Germany.,Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Lothar Kanz
- Department of Hematology and Oncology, University of Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Department of Hematology and Oncology, University of Tübingen, Tübingen, Germany.,Clinical Cooperation Unit Translational Immunology, German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Hans-Georg Rammensee
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Juliane S Walz
- Department of Hematology and Oncology, University of Tübingen, Tübingen, Germany
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