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Hesnard L, Thériault C, Cahuzac M, Durette C, Vincent K, Hardy MP, Lanoix J, Lavallée GO, Humeau J, Thibault P, Perreault C. Immunogenicity of Non-Mutated Ovarian Cancer-Specific Antigens. Curr Oncol 2024; 31:3099-3121. [PMID: 38920720 PMCID: PMC11203340 DOI: 10.3390/curroncol31060236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Epithelial ovarian cancer (EOC) has not significantly benefited from advances in immunotherapy, mainly because of the lack of well-defined actionable antigen targets. Using proteogenomic analyses of primary EOC tumors, we previously identified 91 aberrantly expressed tumor-specific antigens (TSAs) originating from unmutated genomic sequences. Most of these TSAs derive from non-exonic regions, and their expression results from cancer-specific epigenetic changes. The present study aimed to evaluate the immunogenicity of 48 TSAs selected according to two criteria: presentation by highly prevalent HLA allotypes and expression in a significant fraction of EOC tumors. Using targeted mass spectrometry analyses, we found that pulsing with synthetic TSA peptides leads to a high-level presentation on dendritic cells. TSA abundance correlated with the predicted binding affinity to the HLA allotype. We stimulated naïve CD8 T cells from healthy blood donors with TSA-pulsed dendritic cells and assessed their expansion with two assays: MHC-peptide tetramer staining and TCR Vβ CDR3 sequencing. We report that these TSAs can expand sizeable populations of CD8 T cells and, therefore, represent attractive targets for EOC immunotherapy.
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Affiliation(s)
- Leslie Hesnard
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Catherine Thériault
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Maxime Cahuzac
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Chantal Durette
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Krystel Vincent
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Marie-Pierre Hardy
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Joël Lanoix
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Gabriel Ouellet Lavallée
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Juliette Humeau
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
- Department of Chemistry, University of Montreal, Montreal, QC H2V 0B3, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
- Department of Medicine, University of Montreal, Montreal, QC H3C 3J7, Canada
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Sheikhlary S, Lopez DH, Moghimi S, Sun B. Recent Findings on Therapeutic Cancer Vaccines: An Updated Review. Biomolecules 2024; 14:503. [PMID: 38672519 PMCID: PMC11048403 DOI: 10.3390/biom14040503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/06/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Cancer remains one of the global leading causes of death and various vaccines have been developed over the years against it, including cell-based, nucleic acid-based, and viral-based cancer vaccines. Although many vaccines have been effective in in vivo and clinical studies and some have been FDA-approved, there are major limitations to overcome: (1) developing one universal vaccine for a specific cancer is difficult, as tumors with different antigens are different for different individuals, (2) the tumor antigens may be similar to the body's own antigens, and (3) there is the possibility of cancer recurrence. Therefore, developing personalized cancer vaccines with the ability to distinguish between the tumor and the body's antigens is indispensable. This paper provides a comprehensive review of different types of cancer vaccines and highlights important factors necessary for developing efficient cancer vaccines. Moreover, the application of other technologies in cancer therapy is discussed. Finally, several insights and conclusions are presented, such as the possibility of using cold plasma and cancer stem cells in developing future cancer vaccines, to tackle the major limitations in the cancer vaccine developmental process.
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Affiliation(s)
- Sara Sheikhlary
- Department of Biomedical Engineering, College of Engineering, The University of Arizona, Tucson, AZ 85721, USA
| | - David Humberto Lopez
- Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, AZ 85721, USA; (D.H.L.); (S.M.)
| | - Sophia Moghimi
- Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, AZ 85721, USA; (D.H.L.); (S.M.)
| | - Bo Sun
- Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, AZ 85721, USA; (D.H.L.); (S.M.)
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3
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Hackenbruch C, Bauer J, Heitmann JS, Maringer Y, Nelde A, Denk M, Zieschang L, Kammer C, Federmann B, Jung S, Martus P, Malek NP, Nikolaou K, Salih HR, Bitzer M, Walz JS. FusionVAC22_01: a phase I clinical trial evaluating a DNAJB1-PRKACA fusion transcript-based peptide vaccine combined with immune checkpoint inhibition for fibrolamellar hepatocellular carcinoma and other tumor entities carrying the oncogenic driver fusion. Front Oncol 2024; 14:1367450. [PMID: 38606105 PMCID: PMC11007196 DOI: 10.3389/fonc.2024.1367450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/13/2024] [Indexed: 04/13/2024] Open
Abstract
The DNAJB1-PRKACA fusion transcript was identified as the oncogenic driver of tumor pathogenesis in fibrolamellar hepatocellular carcinoma (FL-HCC), also known as fibrolamellar carcinoma (FLC), as well as in other tumor entities, thus representing a broad target for novel treatment in multiple cancer entities. FL-HCC is a rare primary liver tumor with a 5-year survival rate of only 45%, which typically affects young patients with no underlying primary liver disease. Surgical resection is the only curative treatment option if no metastases are present at diagnosis. There is no standard of care for systemic therapy. Peptide-based vaccines represent a low side-effect approach relying on specific immune recognition of tumor-associated human leucocyte antigen (HLA) presented peptides. The induction (priming) of tumor-specific T-cell responses against neoepitopes derived from gene fusion transcripts by peptide-vaccination combined with expansion of the immune response and optimization of immune function within the tumor microenvironment achieved by immune-checkpoint-inhibition (ICI) has the potential to improve response rates and durability of responses in malignant diseases. The phase I clinical trial FusionVAC22_01 will enroll patients with FL-HCC or other cancer entities carrying the DNAJB1-PRKACA fusion transcript that are locally advanced or metastatic. Two doses of the DNAJB1-PRKACA fusion-based neoepitope vaccine Fusion-VAC-XS15 will be applied subcutaneously (s.c.) with a 4-week interval in combination with the anti-programmed cell death-ligand 1 (PD-L1) antibody atezolizumab starting at day 15 after the first vaccination. Anti-PD-L1 will be applied every 4 weeks until end of the 54-week treatment phase or until disease progression or other reason for study termination. Thereafter, patients will enter a 6 months follow-up period. The clinical trial reported here was approved by the Ethics Committee II of the University of Heidelberg (Medical faculty of Mannheim) and the Paul-Ehrlich-Institute (P-00540). Clinical trial results will be published in peer-reviewed journals. Trial registration numbers EU CT Number: 2022-502869-17-01 and ClinicalTrials.gov Registry (NCT05937295).
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Affiliation(s)
- Christopher Hackenbruch
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Jens Bauer
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Jonas S. Heitmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Yacine Maringer
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Annika Nelde
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Monika Denk
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - Lisa Zieschang
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - Christine Kammer
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - Birgit Federmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Susanne Jung
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
- Department of Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Peter Martus
- Institute for Medical Biometrics and Clinical Epidemiology, University Hospital Tübingen, Tübingen, Germany
| | - Nisar P. Malek
- 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
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
- Center for Personalized Medicine, University of Tübingen, Tübingen, Germany
- The M3 Research Institute, University of Tübingen, Tübingen, Germany
| | - Konstantin Nikolaou
- 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
- Department of Diagnostic and Interventional Radiology, University Hospital 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
| | - Michael Bitzer
- 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
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
- Center for Personalized Medicine, University of 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 Peptide-based Immunotherapy, Institute of Immunology, University and University Hospital 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
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4
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Aldea M, Friboulet L, Apcher S, Jaulin F, Mosele F, Sourisseau T, Soria JC, Nikolaev S, André F. Precision medicine in the era of multi-omics: can the data tsunami guide rational treatment decision? ESMO Open 2023; 8:101642. [PMID: 37769400 PMCID: PMC10539962 DOI: 10.1016/j.esmoop.2023.101642] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 09/30/2023] Open
Abstract
Precision medicine for cancer is rapidly moving to an approach that integrates multiple dimensions of the biology in order to model mechanisms of cancer progression in each patient. The discovery of multiple drivers per tumor challenges medical decision that faces several treatment options. Drug sensitivity depends on the actionability of the target, its clonal or subclonal origin and coexisting genomic alterations. Sequencing has revealed a large diversity of drivers emerging at treatment failure, which are potential targets for clinical trials or drug repurposing. To effectively prioritize therapies, it is essential to rank genomic alterations based on their proven actionability. Moving beyond primary drivers, the future of precision medicine necessitates acknowledging the intricate spatial and temporal heterogeneity inherent in cancer. The advent of abundant complex biological data will make artificial intelligence algorithms indispensable for thorough analysis. Here, we will discuss the advancements brought by the use of high-throughput genomics, the advantages and limitations of precision medicine studies and future perspectives in this field.
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Affiliation(s)
- M Aldea
- Department of Medical Oncology, Gustave Roussy, Villejuif; PRISM, INSERM, Gustave Roussy, Villejuif.
| | | | - S Apcher
- PRISM, INSERM, Gustave Roussy, Villejuif
| | - F Jaulin
- PRISM, INSERM, Gustave Roussy, Villejuif
| | - F Mosele
- Department of Medical Oncology, Gustave Roussy, Villejuif; PRISM, INSERM, Gustave Roussy, Villejuif
| | | | - J-C Soria
- Paris Saclay University, Orsay; Drug Development Department, Gustave Roussy, Villejuif, France
| | - S Nikolaev
- PRISM, INSERM, Gustave Roussy, Villejuif
| | - F André
- Department of Medical Oncology, Gustave Roussy, Villejuif; PRISM, INSERM, Gustave Roussy, Villejuif; Paris Saclay University, Orsay
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5
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Massa C, Seliger B. Combination of multiple omics techniques for a personalized therapy or treatment selection. Front Immunol 2023; 14:1258013. [PMID: 37828984 PMCID: PMC10565668 DOI: 10.3389/fimmu.2023.1258013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 09/05/2023] [Indexed: 10/14/2023] Open
Abstract
Despite targeted therapies and immunotherapies have revolutionized the treatment of cancer patients, only a limited number of patients have long-term responses. Moreover, due to differences within cancer patients in the tumor mutational burden, composition of the tumor microenvironment as well as of the peripheral immune system and microbiome, and in the development of immune escape mechanisms, there is no "one fit all" therapy. Thus, the treatment of patients must be personalized based on the specific molecular, immunologic and/or metabolic landscape of their tumor. In order to identify for each patient the best possible therapy, different approaches should be employed and combined. These include (i) the use of predictive biomarkers identified on large cohorts of patients with the same tumor type and (ii) the evaluation of the individual tumor with "omics"-based analyses as well as its ex vivo characterization for susceptibility to different therapies.
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Affiliation(s)
- Chiara Massa
- Institute for Translational Immunology, Brandenburg Medical School Theodor Fontane, Brandenburg an der Havel, Germany
| | - Barbara Seliger
- Institute for Translational Immunology, Brandenburg Medical School Theodor Fontane, Brandenburg an der Havel, Germany
- Institute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle, Germany
- Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
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6
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Prensner JR, Abelin JG, Kok LW, Clauser KR, Mudge JM, Ruiz-Orera J, Bassani-Sternberg M, Moritz RL, Deutsch EW, van Heesch S. What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome? Mol Cell Proteomics 2023; 22:100631. [PMID: 37572790 PMCID: PMC10506109 DOI: 10.1016/j.mcpro.2023.100631] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/21/2023] [Accepted: 08/08/2023] [Indexed: 08/14/2023] Open
Abstract
Ribosome profiling (Ribo-Seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of noncanonical sites of ribosome translation outside the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7000 noncanonical ORFs are translated, which, at first glance, has the potential to expand the number of human protein CDSs by 30%, from ∼19,500 annotated CDSs to over 26,000 annotated CDSs. Yet, additional scrutiny of these ORFs has raised numerous questions about what fraction of them truly produce a protein product and what fraction of those can be understood as proteins according to conventional understanding of the term. Adding further complication is the fact that published estimates of noncanonical ORFs vary widely by around 30-fold, from several thousand to several hundred thousand. The summation of this research has left the genomics and proteomics communities both excited by the prospect of new coding regions in the human genome but searching for guidance on how to proceed. Here, we discuss the current state of noncanonical ORF research, databases, and interpretation, focusing on how to assess whether a given ORF can be said to be "protein coding."
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Affiliation(s)
- John R Prensner
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan, USA.
| | | | - Leron W Kok
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Karl R Clauser
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jonathan M Mudge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jorge Ruiz-Orera
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, Agora Center Bugnon 25A, University of Lausanne, Lausanne, Switzerland; Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland; Agora Cancer Research Centre, Lausanne, Switzerland
| | - Robert L Moritz
- Institute for Systems Biology (ISB), Seattle, Washington, USA
| | - Eric W Deutsch
- Institute for Systems Biology (ISB), Seattle, Washington, USA
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7
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Li J, Xiao Z, Wang D, Jia L, Nie S, Zeng X, Hu W. The screening, identification, design and clinical application of tumor-specific neoantigens for TCR-T cells. Mol Cancer 2023; 22:141. [PMID: 37649123 PMCID: PMC10466891 DOI: 10.1186/s12943-023-01844-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/16/2023] [Indexed: 09/01/2023] Open
Abstract
Recent advances in neoantigen research have accelerated the development of tumor immunotherapies, including adoptive cell therapies (ACTs), cancer vaccines and antibody-based therapies, particularly for solid tumors. With the development of next-generation sequencing and bioinformatics technology, the rapid identification and prediction of tumor-specific antigens (TSAs) has become possible. Compared with tumor-associated antigens (TAAs), highly immunogenic TSAs provide new targets for personalized tumor immunotherapy and can be used as prospective indicators for predicting tumor patient survival, prognosis, and immune checkpoint blockade response. Here, the identification and characterization of neoantigens and the clinical application of neoantigen-based TCR-T immunotherapy strategies are summarized, and the current status, inherent challenges, and clinical translational potential of these strategies are discussed.
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Affiliation(s)
- Jiangping Li
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
| | - Zhiwen Xiao
- Department of Otolaryngology Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, People's Republic of China
| | - Donghui Wang
- Department of Radiation Oncology, The Third Affiliated Hospital Sun Yat-Sen University, Guangzhou, 510630, People's Republic of China
| | - Lei Jia
- International Health Medicine Innovation Center, Shenzhen University, Shenzhen, 518060, People's Republic of China
| | - Shihong Nie
- Department of Radiation Oncology, West China Hospital, Sichuan University, Cancer Center, Chengdu, 610041, People's Republic of China
| | - Xingda Zeng
- Department of Parasitology of Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Wei Hu
- Division of Vascular Surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China
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8
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Buonaguro L, Tagliamonte M. Peptide-based vaccine for cancer therapies. Front Immunol 2023; 14:1210044. [PMID: 37654484 PMCID: PMC10467431 DOI: 10.3389/fimmu.2023.1210044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/31/2023] [Indexed: 09/02/2023] Open
Abstract
Different strategies based on peptides are available for cancer treatment, in particular to counter-act the progression of tumor growth and disease relapse. In the last decade, in the context of therapeutic strategies against cancer, peptide-based vaccines have been evaluated in different tumor models. The peptides selected for cancer vaccine development can be classified in two main type: tumor-associated antigens (TAAs) and tumor-specific antigens (TSAs), which are captured, internalized, processed and presented by antigen-presenting cells (APCs) to cell-mediated immunity. Peptides loaded onto MHC class I are recognized by a specific TCR of CD8+ T cells, which are activated to exert their cytotoxic activity against tumor cells presenting the same peptide-MHC-I complex. This process is defined as active immunotherapy as the host's immune system is either de novo activated or restimulated to mount an effective, tumor-specific immune reaction that may ultimately lead to tu-mor regression. However, while the preclinical data have frequently shown encouraging results, therapeutic cancer vaccines clinical trials, including those based on peptides have not provided satisfactory data to date. The limited efficacy of peptide-based cancer vaccines is the consequence of several factors, including the identification of specific target tumor antigens, the limited immunogenicity of peptides and the highly immunosuppressive tumor microenvironment (TME). An effective cancer vaccine can be developed only by addressing all such different aspects. The present review describes the state of the art for each of such factors.
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Affiliation(s)
| | - Maria Tagliamonte
- Innovative Immunological Models Unit, Istituto Nazionale Tumori - IRCCS - “Fond G. Pascale”, Naples, Italy
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9
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Jiang N, Malone M, Chizari S. Antigen-specific and cross-reactive T cells in protection and disease. Immunol Rev 2023; 316:120-135. [PMID: 37209375 PMCID: PMC10524458 DOI: 10.1111/imr.13217] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 05/22/2023]
Abstract
Human T cells have a diverse T-cell receptor (TCR) repertoire that endows them with the ability to identify and defend against a broad spectrum of antigens. The universe of possible antigens that T cells may encounter, however, is even larger. To effectively surveil such a vast universe, the T-cell repertoire must adopt a high degree of cross-reactivity. Likewise, antigen-specific and cross-reactive T-cell responses play pivotal roles in both protective and pathological immune responses in numerous diseases. In this review, we explore the implications of these antigen-driven T-cell responses, with a particular focus on CD8+ T cells, using infection, neurodegeneration, and cancer as examples. We also summarize recent technological advances that facilitate high-throughput profiling of antigen-specific and cross-reactive T-cell responses experimentally, as well as computational biology approaches that predict these interactions.
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Affiliation(s)
- Ning Jiang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104
- Institute for Immunology, University of Pennsylvania, Philadelphia, PA, 19104
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, 19104
- Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, 19104
- Institute for RNA Innovation, University of Pennsylvania, Philadelphia, PA, 19104
| | - Michael Malone
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104
| | - Shahab Chizari
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104
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10
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Prensner JR, Abelin JG, Kok LW, Clauser KR, Mudge JM, Ruiz-Orera J, Bassani-Sternberg M, Deutsch EW, van Heesch S. What can Ribo-seq and proteomics tell us about the non-canonical proteome? BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.16.541049. [PMID: 37292611 PMCID: PMC10245706 DOI: 10.1101/2023.05.16.541049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Ribosome profiling (Ribo-seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of non-canonical sites of ribosome translation outside of the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7,000 non-canonical open reading frames (ORFs) are translated, which, at first glance, has the potential to expand the number of human protein-coding sequences by 30%, from ∼19,500 annotated CDSs to over 26,000. Yet, additional scrutiny of these ORFs has raised numerous questions about what fraction of them truly produce a protein product and what fraction of those can be understood as proteins according to conventional understanding of the term. Adding further complication is the fact that published estimates of non-canonical ORFs vary widely by around 30-fold, from several thousand to several hundred thousand. The summation of this research has left the genomics and proteomics communities both excited by the prospect of new coding regions in the human genome, but searching for guidance on how to proceed. Here, we discuss the current state of non-canonical ORF research, databases, and interpretation, focusing on how to assess whether a given ORF can be said to be "protein-coding". In brief The human genome encodes thousands of non-canonical open reading frames (ORFs) in addition to protein-coding genes. As a nascent field, many questions remain regarding non-canonical ORFs. How many exist? Do they encode proteins? What level of evidence is needed for their verification? Central to these debates has been the advent of ribosome profiling (Ribo-seq) as a method to discern genome-wide ribosome occupancy, and immunopeptidomics as a method to detect peptides that are processed and presented by MHC molecules and not observed in traditional proteomics experiments. This article provides a synthesis of the current state of non-canonical ORF research and proposes standards for their future investigation and reporting. Highlights Combined use of Ribo-seq and proteomics-based methods enables optimal confidence in detecting non-canonical ORFs and their protein products.Ribo-seq can provide more sensitive detection of non-canonical ORFs, but data quality and analytical pipelines will impact results.Non-canonical ORF catalogs are diverse and span both high-stringency and low-stringency ORF nominations.A framework for standardized non-canonical ORF evidence will advance the research field.
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Affiliation(s)
- John R. Prensner
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | | | - Leron W. Kok
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Karl R. Clauser
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Jonathan M. Mudge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jorge Ruiz-Orera
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland
- Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland
- Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Eric W. Deutsch
- Institute for Systems Biology (ISB), Seattle, Washington 98109, USA
| | - Sebastiaan van Heesch
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
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11
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Admon A. The biogenesis of the immunopeptidome. Semin Immunol 2023; 67:101766. [PMID: 37141766 DOI: 10.1016/j.smim.2023.101766] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/26/2023] [Accepted: 04/26/2023] [Indexed: 05/06/2023]
Abstract
The immunopeptidome is the repertoire of peptides bound and presented by the MHC class I, class II, and non-classical molecules. The peptides are produced by the degradation of most cellular proteins, and in some cases, peptides are produced from extracellular proteins taken up by the cells. This review attempts to first describe some of its known and well-accepted concepts, and next, raise some questions about a few of the established dogmas in this field: The production of novel peptides by splicing is questioned, suggesting here that spliced peptides are extremely rare, if existent at all. The degree of the contribution to the immunopeptidome by degradation of cellular protein by the proteasome is doubted, therefore this review attempts to explain why it is likely that this contribution to the immunopeptidome is possibly overstated. The contribution of defective ribosome products (DRiPs) and non-canonical peptides to the immunopeptidome is noted and methods are suggested to quantify them. In addition, the common misconception that the MHC class II peptidome is mostly derived from extracellular proteins is noted, and corrected. It is stressed that the confirmation of sequence assignments of non-canonical and spliced peptides should rely on targeted mass spectrometry using spiking-in of heavy isotope-labeled peptides. Finally, the new methodologies and modern instrumentation currently available for high throughput kinetics and quantitative immunopeptidomics are described. These advanced methods open up new possibilities for utilizing the big data generated and taking a fresh look at the established dogmas and reevaluating them critically.
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Affiliation(s)
- Arie Admon
- Faculty of Biology, Technion-Israel Institute of Technology, Israel.
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12
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Ahn R, Cui Y, White FM. Antigen discovery for the development of cancer immunotherapy. Semin Immunol 2023; 66:101733. [PMID: 36841147 DOI: 10.1016/j.smim.2023.101733] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023]
Abstract
Central to successful cancer immunotherapy is effective T cell antitumor immunity. Multiple targeted immunotherapies engineered to invigorate T cell-driven antitumor immunity rely on identifying the repertoire of T cell antigens expressed on the tumor cell surface. Mass spectrometry-based survey of such antigens ("immunopeptidomics") combined with other omics platforms and computational algorithms has been instrumental in identifying and quantifying tumor-derived T cell antigens. In this review, we discuss the types of tumor antigens that have emerged for targeted cancer immunotherapy and the immunopeptidomics methods that are central in MHC peptide identification and quantification. We provide an overview of the strength and limitations of mass spectrometry-driven approaches and how they have been integrated with other technologies to discover targetable T cell antigens for cancer immunotherapy. We highlight some of the emerging cancer immunotherapies that successfully capitalized on immunopeptidomics, their challenges, and mass spectrometry-based strategies that can support their development.
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Affiliation(s)
- Ryuhjin Ahn
- David H. Koch Institute for Integrative Cancer Research, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yufei Cui
- David H. Koch Institute for Integrative Cancer Research, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Forest M White
- David H. Koch Institute for Integrative Cancer Research, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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13
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Tan X, Xu L, Jian X, Ouyang J, Hu B, Yang X, Wang T, Xie L. PGNneo: A Proteogenomics-Based Neoantigen Prediction Pipeline in Noncoding Regions. Cells 2023; 12:cells12050782. [PMID: 36899918 PMCID: PMC10000440 DOI: 10.3390/cells12050782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
The development of a neoantigen-based personalized vaccine has promise in the hunt for cancer immunotherapy. The challenge in neoantigen vaccine design is the need to rapidly and accurately identify, in patients, those neoantigens with vaccine potential. Evidence shows that neoantigens can be derived from noncoding sequences, but there are few specific tools for identifying neoantigens in noncoding regions. In this work, we describe a proteogenomics-based pipeline, namely PGNneo, for use in discovering neoantigens derived from the noncoding region of the human genome with reliability. In PGNneo, four modules are included: (1) noncoding somatic variant calling and HLA typing; (2) peptide extraction and customized database construction; (3) variant peptide identification; (4) neoantigen prediction and selection. We have demonstrated the effectiveness of PGNneo and applied and validated our methodology in two real-world hepatocellular carcinoma (HCC) cohorts. TP53, WWP1, ATM, KMT2C, and NFE2L2, which are frequently mutating genes associated with HCC, were identified in two cohorts and corresponded to 107 neoantigens from non-coding regions. In addition, we applied PGNneo to a colorectal cancer (CRC) cohort, demonstrating that the tool can be extended and verified in other tumor types. In summary, PGNneo can specifically detect neoantigens generated by noncoding regions in tumors, providing additional immune targets for cancer types with a low tumor mutational burden (TMB) in coding regions. PGNneo, together with our previous tool, can identify coding and noncoding region-derived neoantigens and, thus, will contribute to a complete understanding of the tumor immune target landscape. PGNneo source code and documentation are available at Github. To facilitate the installation and use of PGNneo, we provide a Docker container and a GUI.
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Affiliation(s)
- Xiaoxiu Tan
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
- Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Linfeng Xu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Xingxing Jian
- Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Jian Ouyang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Bo Hu
- Liver Cancer Institute, Fudan University, Shanghai 200032, China
| | - Xinrong Yang
- Liver Cancer Institute, Fudan University, Shanghai 200032, China
| | - Tao Wang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
- Correspondence: (T.W.); (L.X.)
| | - Lu Xie
- Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
- Correspondence: (T.W.); (L.X.)
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14
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Baulu E, Gardet C, Chuvin N, Depil S. TCR-engineered T cell therapy in solid tumors: State of the art and perspectives. SCIENCE ADVANCES 2023; 9:eadf3700. [PMID: 36791198 PMCID: PMC9931212 DOI: 10.1126/sciadv.adf3700] [Citation(s) in RCA: 81] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/06/2023] [Indexed: 05/25/2023]
Abstract
T cell engineering has changed the landscape of cancer immunotherapy. Chimeric antigen receptor T cells have demonstrated a remarkable efficacy in the treatment of B cell malignancies in hematology. However, their clinical impact on solid tumors has been modest so far. T cells expressing an engineered T cell receptor (TCR-T cells) represent a promising therapeutic alternative. The target repertoire is not limited to membrane proteins, and intrinsic features of TCRs such as high antigen sensitivity and near-to-physiological signaling may improve tumor cell detection and killing while improving T cell persistence. In this review, we present the clinical results obtained with TCR-T cells targeting different tumor antigen families. We detail the different methods that have been developed to identify and optimize a TCR candidate. We also discuss the challenges of TCR-T cell therapies, including toxicity assessment and resistance mechanisms. Last, we share some perspectives and highlight future directions in the field.
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Affiliation(s)
- Estelle Baulu
- Centre de Recherche en Cancérologie de Lyon, Lyon, France
- ErVaccine Technologies, Lyon, France
| | - Célia Gardet
- Centre de Recherche en Cancérologie de Lyon, Lyon, France
| | | | - Stéphane Depil
- Centre de Recherche en Cancérologie de Lyon, Lyon, France
- ErVaccine Technologies, Lyon, France
- Centre Léon Bérard, Lyon, France
- Université Claude Bernard Lyon 1, Lyon, France
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15
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Hannani D, Leplus E, Laulagnier K, Chaperot L, Plumas J. Leveraging a powerful allogeneic dendritic cell line towards neoantigen-based cancer vaccines. Genes Cancer 2023; 14:3-11. [PMID: 36726965 PMCID: PMC9886307 DOI: 10.18632/genesandcancer.229] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 01/20/2023] [Indexed: 01/31/2023] Open
Abstract
In recent years, immunotherapy has finally found its place in the anti-cancer therapeutic arsenal, even becoming standard of care as first line treatment for metastatic forms. The clinical benefit provided by checkpoint blockers such as anti-PD-1/PD-L1 in many cancers revolutionized the field. However, too many patients remain refractory to these treatments due to weak baseline anti-cancer immunity. There is therefore a need to boost the frequency and function of patients' cytotoxic CD8+ cellular effectors by targeting immunogenic and tumor-restricted antigens, such as neoantigens using an efficient vaccination platform. Dendritic cells (DC) are the most powerful immune cell subset for triggering cellular immune response. However, autologous DC-based vaccines display several limitations, such as the lack of reproducibility and the limited number of cells that can be manufactured. Here we discuss the advantages of a new therapeutic vaccine based on an allogeneic Plasmacytoid DC cell line, which is easy to produce and represents a powerful platform for priming and expanding anti-neoantigen cytotoxic CD8+ T-cells.
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Affiliation(s)
| | | | | | - Laurence Chaperot
- 2R&D Laboratory, Etablissement Français du Sang Auvergne Rhône-Alpes (EFS AURA), Grenoble, France
| | - Joël Plumas
- 1PDC*line Pharma, Grenoble, France,2R&D Laboratory, Etablissement Français du Sang Auvergne Rhône-Alpes (EFS AURA), Grenoble, France,Correspondence to:Joël Plumas, email:
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16
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Schwarz S, Schmitz J, Löffler MW, Ghosh M, Rammensee HG, Olshvang E, Markel M, Mockel-Tenbrinck N, Dzionek A, Krake S, Arslan B, Kampe KD, Wendt A, Bauer P, Mullins CS, Schlosser A, Linnebacher M. T cells of colorectal cancer patients' stimulated by neoantigenic and cryptic peptides better recognize autologous tumor cells. J Immunother Cancer 2022; 10:jitc-2022-005651. [PMID: 36460334 PMCID: PMC9723954 DOI: 10.1136/jitc-2022-005651] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Patients with cancers that exhibit extraordinarily high somatic mutation numbers are ideal candidates for immunotherapy and enable identifying tumor-specific peptides through stimulation of tumor-reactive T cells (Tc). METHODS Colorectal cancers (CRC) HROC113 and HROC285 were selected based on high TMB, microsatellite instability and HLA class I expression. Their HLA ligandome was characterized using mass spectrometry, compared with the HLA ligand atlas and HLA class I-binding affinity was predicted. Cryptic peptides were identified using Peptide-PRISM. Patients' Tc were isolated from either peripheral blood (pTc) or tumor material (tumor-infiltrating Tc, TiTc) and expanded. In addition, B-lymphoblastoid cells (B-LCL) were generated and used as antigen-presenting cells. pTc and TiTc were stimulated twice for 7 days using peptide pool-loaded B-LCL. Subsequently, interferon gamma (IFNγ) release was quantified by ELISpot. Finally, cytotoxicity against autologous tumor cells was assessed in a degranulation assay. RESULTS 100 tumor-specific candidate peptides-97 cryptic peptides and 3 classically mutated neoantigens-were selected. The neoantigens originated from single nucleotide substitutions in the genes IQGAP1, CTNNB1, and TRIT1. Cryptic and neoantigenic peptides inducing IFNγ secretion of Tc were further investigated. Stimulation of pTc and TiTc with neoantigens and selected cryptic peptides resulted in increased release of cytotoxic granules in the presence of autologous tumor cells, substantiating their improved tumor cell recognition. Tetramer staining showed an enhanced number of pTc and TiTc specific for the IQGAP1 neoantigen. Subpopulation analysis prior to peptide stimulation revealed that pTc mainly consisted of memory Tc, whereas TiTc constituted primarily of effector and effector memory Tc. This allows to infer that TiTc reacting to neoantigens and cryptic peptides must be present within the tumor microenvironment. CONCLUSION These results prove that the analyzed CRC present both mutated neoantigenic and cryptic peptides on their HLA class I molecules. Moreover, stimulation with these peptides significantly strengthened tumor cell recognition by Tc. Since the overall number of neoantigenic peptides identifiable by HLA ligandome analysis hitherto is small, our data emphasize the relevance of increasing the target scope for cancer vaccines by the cryptic peptide category.
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Affiliation(s)
- Sandra Schwarz
- Department of General Surgery, Molecular Oncology and Immunotherapy, Rostock University Medical Center, Rostock, Germany
| | - Johanna Schmitz
- Department of General Surgery, Molecular Oncology and Immunotherapy, Rostock University Medical Center, Rostock, Germany
| | - Markus W Löffler
- Department of General, Visceral and Transplant Surgery, Universitätsklinikum Tübingen, Tubingen, Germany,Department of Immunology, University of Tübingen, Tubingen, Germany,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, University of Tübingen, Tübingen, Germany,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany,Department of Clinical Pharmacology, University Hospital Tübingen, Tübingen, Germany
| | - Michael Ghosh
- Department of Immunology, University of Tübingen, Tubingen, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, University of Tübingen, Tubingen, Germany,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, University of Tübingen, Tübingen, Germany
| | | | - Marvin Markel
- Miltenyi Biotec BV & Co KG, Bergisch Gladbach, Germany
| | | | | | | | | | | | | | | | - Christina S Mullins
- Department of General Surgery, Molecular Oncology and Immunotherapy, Rostock University Medical Center, Rostock, Germany
| | - Andreas Schlosser
- Center for Integrative and Translational Bioimaging, Rudolf-Virchow Center, University of Würzburg, Würzburg, Germany
| | - Michael Linnebacher
- Department of General Surgery, Molecular Oncology and Immunotherapy, Rostock University Medical Center, Rostock, Germany
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17
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Bauer J, Köhler N, Maringer Y, Bucher P, Bilich T, Zwick M, Dicks S, Nelde A, Dubbelaar M, Scheid J, Wacker M, Heitmann JS, Schroeder S, Rieth J, Denk M, Richter M, Klein R, Bonzheim I, Luibrand J, Holzer U, Ebinger M, Brecht IB, Bitzer M, Boerries M, Feucht J, Salih HR, Rammensee HG, Hailfinger S, Walz JS. The oncogenic fusion protein DNAJB1-PRKACA can be specifically targeted by peptide-based immunotherapy in fibrolamellar hepatocellular carcinoma. Nat Commun 2022; 13:6401. [PMID: 36302754 PMCID: PMC9613889 DOI: 10.1038/s41467-022-33746-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/30/2022] [Indexed: 02/01/2023] Open
Abstract
The DNAJB1-PRKACA fusion transcript is the oncogenic driver in fibrolamellar hepatocellular carcinoma, a lethal disease lacking specific therapies. This study reports on the identification, characterization, and immunotherapeutic application of HLA-presented neoantigens specific for the DNAJB1-PRKACA fusion transcript in fibrolamellar hepatocellular carcinoma. DNAJB1-PRKACA-derived HLA class I and HLA class II ligands induce multifunctional cytotoxic CD8+ and T-helper 1 CD4+ T cells, and their cellular processing and presentation in DNAJB1-PRKACA expressing tumor cells is demonstrated by mass spectrometry-based immunopeptidome analysis. Single-cell RNA sequencing further identifies multiple T cell receptors from DNAJB1-PRKACA-specific T cells. Vaccination of a fibrolamellar hepatocellular carcinoma patient, suffering from recurrent short interval disease relapses, with DNAJB1-PRKACA-derived peptides under continued Poly (ADP-ribose) polymerase inhibitor therapy induces multifunctional CD4+ T cells, with an activated T-helper 1 phenotype and high T cell receptor clonality. Vaccine-induced DNAJB1-PRKACA-specific T cell responses persist over time and, in contrast to various previous treatments, are accompanied by durable relapse free survival of the patient for more than 21 months post vaccination. Our preclinical and clinical findings identify the DNAJB1-PRKACA protein as source for immunogenic neoepitopes and corresponding T cell receptors and provide efficacy in a single-patient study of T cell-based immunotherapy specifically targeting this oncogenic fusion.
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Affiliation(s)
- Jens Bauer
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Natalie Köhler
- grid.5963.9Department of Internal Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, Albert Ludwigs University, Freiburg, Germany ,grid.5963.9CIBSS – Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany
| | - Yacine Maringer
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Philip Bucher
- grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Pediatric Hematology and Oncology, University Children’s Hospital, University of Tübingen, Tübingen, Germany
| | - Tatjana Bilich
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Melissa Zwick
- grid.5963.9Department of Internal Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, Albert Ludwigs University, Freiburg, Germany ,grid.5963.9Faculty of Biology, Albert-Ludwigs-Universität, Freiburg, Germany
| | - Severin Dicks
- grid.5963.9Faculty of Biology, Albert-Ludwigs-Universität, Freiburg, Germany ,grid.5963.9Institute of Medical Bioinformatics and Systems Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Annika Nelde
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Marissa Dubbelaar
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
| | - Jonas Scheid
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
| | - Marcel Wacker
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Jonas S. Heitmann
- grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.411544.10000 0001 0196 8249Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Sarah Schroeder
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen, Tübingen, Germany
| | - Jonas Rieth
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Monika Denk
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner site Tübingen, Tübingen, Germany
| | - Marion Richter
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner site Tübingen, Tübingen, Germany
| | - Reinhild Klein
- grid.411544.10000 0001 0196 8249Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Irina Bonzheim
- grid.411544.10000 0001 0196 8249Department of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Julia Luibrand
- grid.411544.10000 0001 0196 8249Department of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Ursula Holzer
- grid.10392.390000 0001 2190 1447Department of Pediatric Hematology and Oncology, University Children’s Hospital, University of Tübingen, Tübingen, Germany
| | - Martin Ebinger
- grid.10392.390000 0001 2190 1447Department of Pediatric Hematology and Oncology, University Children’s Hospital, University of Tübingen, Tübingen, Germany
| | - Ines B. Brecht
- grid.10392.390000 0001 2190 1447Department of Pediatric Hematology and Oncology, University Children’s Hospital, University of Tübingen, Tübingen, Germany
| | - Michael Bitzer
- grid.10392.390000 0001 2190 1447Cluster 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 ,grid.411544.10000 0001 0196 8249Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Melanie Boerries
- grid.5963.9Institute of Medical Bioinformatics and Systems Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site, Freiburg, Germany
| | - Judith Feucht
- grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Pediatric Hematology and Oncology, University Children’s Hospital, University of Tübingen, Tübingen, Germany
| | - Helmut R. Salih
- grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.411544.10000 0001 0196 8249Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Hans-Georg Rammensee
- grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster 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
| | - Stephan Hailfinger
- grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.16149.3b0000 0004 0551 4246Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Münster, Münster, Germany
| | - Juliane S. Walz
- grid.411544.10000 0001 0196 8249Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany ,grid.411544.10000 0001 0196 8249Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany ,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner site Tübingen, Tübingen, Germany
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18
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Shang S, Zhao Y, Qian K, Qin Y, Zhang X, Li T, Shan L, Wei M, Xi J, Tang B. The role of neoantigens in tumor immunotherapy. Biomed Pharmacother 2022; 151:113118. [PMID: 35623169 DOI: 10.1016/j.biopha.2022.113118] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/04/2022] [Accepted: 05/10/2022] [Indexed: 11/29/2022] Open
Abstract
Tumor neoantigens are aberrant polypeptides produced by tumor cells as a result of genomic mutations. They are also tumor-specific antigens (TSA). Neoantigens are more immunogenic than tumor-related antigens and do not induce autoimmunity. Based on the rapid development of bioinformatics and the continuous update of sequencing technology, cancer immunotherapy with tumor neoantigens has made promising breakthroughs and progress. In this review, the generation, prediction, and identification of novel antigens, as well as the individualized treatments of neoantigens, were first introduced. Secondly, the mechanism of Chimeric Antigen Receptor T-Cell Immunotherapy (CAR-T) therapy and immune checkpoint blockade therapy in the treatment of tumors were outlined, and the three treatment methods were compared. Thirdly, the application of neoantigens in CAR-T therapy and PD-1/PD-L1 blockade therapy was briefly described. The benefits of the neoantigen vaccines over common vaccines were summarized as well. Finally, the prospect of neoantigen therapy was presented.
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Affiliation(s)
- Shengwen Shang
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Yongjie Zhao
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Kaiqiang Qian
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Yuexuan Qin
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Xinyi Zhang
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Tianyue Li
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Lidong Shan
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Meili Wei
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Jun Xi
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China
| | - Bikui Tang
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, Anhui Province 233030, China.
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19
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Illing PT, Ramarathinam SH, Purcell AW. New insights and approaches for analyses of immunopeptidomes. Curr Opin Immunol 2022; 77:102216. [PMID: 35716458 DOI: 10.1016/j.coi.2022.102216] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/10/2022] [Indexed: 11/03/2022]
Abstract
Human leucocyte antigen (HLA) molecules play a key role in health and disease by presenting antigen to T-lymphocytes for immunosurveillance. Immunopeptidomics involves the study of the collection of peptides presented within the antigen-binding groove of HLA molecules. Identifying their nature and diversity is crucial to understanding immunosurveillance especially during infection or for the recognition and potential eradication of tumours. This review discusses recent advances in the isolation, identification, and quantitation of these peptide antigens. New informatics approaches and databases have shed light on the extent of peptide antigens derived from unconventional sources including peptides derived from transcripts associated with frame shifts, long noncoding RNA, incorrectly annotated untranslated regions, post-translational modifications, and proteasomal splicing. Several challenges remain in successful analysis of immunopeptides, yet recent developments point to unexplored biology waiting to be unravelled.
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Affiliation(s)
- Patricia T Illing
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia
| | - Sri H Ramarathinam
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia
| | - Anthony W Purcell
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
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20
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Nelde A, Flötotto L, Jürgens L, Szymik L, Hubert E, Bauer J, Schliemann C, Kessler T, Lenz G, Rammensee HG, Walz JS, Wethmar K. Upstream open reading frames regulate translation of cancer-associated transcripts and encode HLA-presented immunogenic tumor antigens. Cell Mol Life Sci 2022; 79:171. [PMID: 35239002 PMCID: PMC8894207 DOI: 10.1007/s00018-022-04145-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/21/2021] [Accepted: 01/10/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Upstream open reading frames (uORFs) represent translational control elements within eukaryotic transcript leader sequences. Recent data showed that uORFs can encode for biologically active proteins and human leukocyte antigen (HLA)-presented peptides in malignant and benign cells suggesting their potential role in cancer cell development and survival. However, the role of uORFs in translational regulation of cancer-associated transcripts as well as in cancer immune surveillance is still incompletely understood. METHODS We examined the translational regulatory effect of 29 uORFs in 13 cancer-associated genes by dual-luciferase assays. Cellular expression and localization of uORF-encoded peptides (uPeptides) were investigated by immunoblotting and immunofluorescence-based microscopy. Furthermore, we utilized mass spectrometry-based immunopeptidome analyses in an extensive dataset of primary malignant and benign tissue samples for the identification of naturally presented uORF-derived HLA-presented peptides screening for more than 2000 uORFs. RESULTS We provide experimental evidence for similarly effective translational regulation of cancer-associated transcripts through uORFs initiated by either canonical AUG codons or by alternative translation initiation sites (aTISs). We further demonstrate frequent cellular expression and reveal occasional specific cellular localization of uORF-derived peptides, suggesting uPeptide-specific biological implications. Immunopeptidome analyses delineated a set of 125 naturally presented uORF-derived HLA-presented peptides. Comparative immunopeptidome profiling of malignant and benign tissue-derived immunopeptidomes identified several tumor-associated uORF-derived HLA ligands capable to induce multifunctional T cell responses. CONCLUSION Our data provide direct evidence for the frequent expression of uPeptides in benign and malignant human tissues, suggesting a potentially widespread function of uPeptides in cancer biology. These findings may inspire novel approaches in direct molecular as well as immunotherapeutic targeting of cancer-associated uORFs and uPeptides.
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Affiliation(s)
- Annika Nelde
- Clinical Collaboration Unit Translational Immunology, Department of Internal Medicine, German Cancer Consortium (DKTK), University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
- Department of Immunology, Institute for Cell Biology, University of Tübingen, 72076, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076, Tübingen, Germany
| | - Lea Flötotto
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Lara Jürgens
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Laura Szymik
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Elvira Hubert
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Jens Bauer
- Clinical Collaboration Unit Translational Immunology, Department of Internal Medicine, German Cancer Consortium (DKTK), University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
- Department of Immunology, Institute for Cell Biology, University of Tübingen, 72076, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076, Tübingen, Germany
| | - Christoph Schliemann
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Torsten Kessler
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Georg Lenz
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Institute for Cell Biology, University of Tübingen, 72076, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, 72076, Tübingen, Germany
| | - Juliane S Walz
- Clinical Collaboration Unit Translational Immunology, Department of Internal Medicine, German Cancer Consortium (DKTK), University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.
- Department of Immunology, Institute for Cell Biology, University of Tübingen, 72076, Tübingen, Germany.
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076, Tübingen, Germany.
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Robert Bosch Center for Tumor Diseases (RBCT), 70376, Stuttgart, Germany.
| | - Klaus Wethmar
- Department of Medicine A, Hematology, Oncology, Hemostaseology and Pneumology, University Hospital Münster, Albert-Schweitzer-Campus 1A, 48149, Münster, Germany.
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21
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Lichti CF, Vigneron N, Clauser KR, Van den Eynde BJ, Bassani-Sternberg M. Navigating Critical Challenges Associated with Immunopeptidomics-Based Detection of Proteasomal Spliced Peptide Candidates. Cancer Immunol Res 2022; 10:275-284. [PMID: 35105607 DOI: 10.1158/2326-6066.cir-21-0727] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/26/2021] [Accepted: 01/14/2022] [Indexed: 11/16/2022]
Abstract
Within the tumor immunology community, the topic of proteasomal spliced peptides (PSP) has generated a great deal of controversy. In the earliest reports, careful biological validation led to the conclusion that proteasome-catalyzed peptide splicing was a rare event. To date, six PSPs have been validated biologically. However, the advent of algorithms to identify candidate PSPs in mass spectrometry data challenged this notion, with several studies concluding that the frequency of spliced peptides binding to MHC class I was quite high. Since this time, much debate has centered around the methodologies used in these studies. Several reanalyses of data from these studies have led to questions about the validity of the conclusions. Furthermore, the biological and technical validation that should be necessary for verifying PSP assignments was often lacking. It has been suggested therefore that the research community should unite around a common set of standards for validating candidate PSPs. In this review, we propose and highlight the necessary steps for validation of proteasomal splicing at both the mass spectrometry and biological levels. We hope that these guidelines will serve as a foundation for critical assessment of results from proteasomal splicing studies.
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Affiliation(s)
- Cheryl F Lichti
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri. .,Bursky Center for Human Immunology and Immunotherapy, Washington University School of Medicine, St. Louis, Missouri
| | - Nathalie Vigneron
- Ludwig Institute for Cancer Research, Brussels, Belgium.,de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Karl R Clauser
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Benoit J Van den Eynde
- Ludwig Institute for Cancer Research, Brussels, Belgium.,de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.,Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, Lausanne Branch-University of Lausanne (UNIL), Lausanne, Switzerland. .,Department of Oncology-Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
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22
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Roesler AS, Anderson KS. Beyond Sequencing: Prioritizing and Delivering Neoantigens for Cancer Vaccines. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2410:649-670. [PMID: 34914074 DOI: 10.1007/978-1-0716-1884-4_35] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Neoantigens are tumor-specific proteins and peptides that can be highly immunogenic. Immune-mediated tumor rejection is strongly associated with cytotoxic responses to neoantigen-derived peptides in noncovalent association with self-HLA molecules. Neoantigen-based therapies, such as adoptive T cell transfer, have shown the potential to induce remission of treatment-resistant metastatic disease in select patients. Cancer vaccines are similarly designed to elicit or amplify antigen-specific T cell populations and stimulate directed antitumor immunity, but the selection and prioritization of the neoantigens remains a challenge. Bioinformatic algorithms can predict tumor neoantigens from somatic mutations, insertion-deletions, and other aberrant peptide products, but this often leads to hundreds of potential neoepitopes, all unique for that tumor. Selecting neoantigens for cancer vaccines is complicated by the technical challenges of neoepitope discovery, the diversity of HLA molecules, and intratumoral heterogeneity of passenger mutations leading to immune escape. Despite strong preclinical evidence, few neoantigen cancer vaccines tested in vivo have generated epitope-specific T cell populations, suggesting suboptimal immune system activation. In this chapter, we review factors affecting the prioritization and delivery of candidate neoantigens in the design of therapeutic and preventive cancer vaccines and consider synergism with standard chemotherapies.
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Affiliation(s)
- Alexander S Roesler
- School of Medicine, Duke University, Durham, NC, USA
- Mayo Clinic, Scottsdale, AZ, USA
| | - Karen S Anderson
- Mayo Clinic, Scottsdale, AZ, USA.
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
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23
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Identification of tumor antigens with immunopeptidomics. Nat Biotechnol 2021; 40:175-188. [PMID: 34635837 DOI: 10.1038/s41587-021-01038-8] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 07/29/2021] [Indexed: 12/18/2022]
Abstract
The identification of actionable tumor antigens is indispensable for the development of several cancer immunotherapies, including T cell receptor-transduced T cells and patient-specific mRNA or peptide vaccines. Most known tumor antigens have been identified through extensive molecular characterization and are considered canonical if they derive from protein-coding regions of the genome. By eluting human leukocyte antigen-bound peptides from tumors and subjecting these to mass spectrometry analysis, the peptides can be identified by matching the resulting spectra against reference databases. Recently, mass-spectrometry-based immunopeptidomics has enabled the discovery of noncanonical antigens-antigens derived from sequences outside protein-coding regions or generated by noncanonical antigen-processing mechanisms. Coupled with transcriptomics and ribosome profiling, this method enables the identification of thousands of noncanonical peptides, of which a substantial fraction may be detected exclusively in tumors. Spectral matching against the immense noncanonical reference may generate false positives. However, sensitive mass spectrometry, analytical validation and advanced bioinformatics solutions are expected to uncover the full landscape of presented antigens and clinically relevant targets.
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24
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Ye T, Li F, Ma G, Wei W. Enhancing therapeutic performance of personalized cancer vaccine via delivery vectors. Adv Drug Deliv Rev 2021; 177:113927. [PMID: 34403752 DOI: 10.1016/j.addr.2021.113927] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/29/2021] [Accepted: 08/10/2021] [Indexed: 12/21/2022]
Abstract
In recent years, personalized cancer vaccines have gained increasing attention as emerging immunotherapies with the capability to overcome interindividual differences and show great benefits for individual patients in the clinic due to the highly tailored vaccine formulations. A large number of materials have been studied as delivery vectors to enhance the therapeutic performance of personalized cancer vaccines, including artificial materials, engineered microorganisms, cells and cell derivatives. These delivery vectors with distinct features are employed to change antigen biodistributions and to facilitate antigen uptake, processing and presentation, improving the strength, velocity, and duration of the immune response when delivered by different strategies. Here, we provide an overview of personalized cancer vaccine delivery vectors, describing their materials, physicochemical properties, delivery strategies and challenges for clinical transformation.
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25
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Scull KE, Pandey K, Ramarathinam SH, Purcell AW. Immunopeptidogenomics: Harnessing RNA-Seq to Illuminate the Dark Immunopeptidome. Mol Cell Proteomics 2021; 20:100143. [PMID: 34509645 PMCID: PMC8724885 DOI: 10.1016/j.mcpro.2021.100143] [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: 03/01/2021] [Revised: 08/10/2021] [Accepted: 08/24/2021] [Indexed: 01/08/2023] Open
Abstract
Human leukocyte antigen (HLA) molecules are cell-surface glycoproteins that present peptide antigens on the cell surface for surveillance by T lymphocytes, which contemporaneously seek signs of disease. Mass spectrometric analysis allows us to identify large numbers of these peptides (the immunopeptidome) following affinity purification of solubilized HLA-peptide complexes. However, in recent years, there has been a growing awareness of the "dark side" of the immunopeptidome: unconventional peptide epitopes, including neoepitopes, which elude detection by conventional search methods because their sequences are not present in reference protein databases (DBs). Here, we establish a bioinformatics workflow to aid identification of peptides generated by noncanonical translation of mRNA or by genome variants. The workflow incorporates both standard transcriptomics software and novel computer programs to produce cell line-specific protein DBs based on three-frame translation of the transcriptome. The final protein DB also includes sequences resulting from variants determined by variant calling on the same RNA-Seq data. We then searched our experimental data against both transcriptome-based and standard DBs using PEAKS Studio (Bioinformatics Solutions, Inc). Finally, further novel software helps to compare the various result sets arising for each sample, pinpoint putative genomic origins for unconventional sequences, and highlight potential neoepitopes. We applied the workflow to study the immunopeptidome of the acute myeloid leukemia cell line THP-1, using RNA-Seq and immunopeptidome data. We confidently identified over 14,000 peptides from three replicates of purified HLA peptides derived from THP-1 cells using the conventional UniProt human proteome. Using the transcriptome-based DB generated using our workflow, we recapitulated >85% of these and also identified 1029 unconventional peptides not explained by UniProt, including 16 sequences caused by nonsynonymous variants. Our workflow, which we term "immunopeptidogenomics," can provide DBs, which include pertinent unconventional sequences and allow neoepitope discovery, without becoming too large to search. Immunopeptidogenomics is a step toward unbiased search approaches that are needed to illuminate the dark side of the immunopeptidome.
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Affiliation(s)
- Katherine E Scull
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Kirti Pandey
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Sri H Ramarathinam
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
| | - Anthony W Purcell
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
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26
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Abstract
Despite the prevalence and medical significance of human cytomegalovirus (HCMV) infections, a systematic analysis of the targets of T cell recognition in humans that spans the entire genome and includes recently described potential novel ORFs is not available. Here, we screened a library of epitopes predicted to bind HLA class II that spans over 350 different HCMV ORFs and includes ∼150 previously described and ∼200 recently described potential novel ORFs using an ex vivo IFNγ fluorospot assay. We identified 235 unique HCMV specific epitopes derived from 100 ORFs, some previously described as immunodominant and others that were not previously described to be immunogenic. Of those, 41 belong to the set of recently reported novel ORFs, thus providing evidence that at least some of these are actually expressed in vivo in humans. These data reveal that the breadth of the human T cell response to HCMV is much greater than previously thought. The ORFs and epitopes identified will help elucidate how T cell immunity relates to HCMV pathogenesis and instruct ongoing HCMV vaccine research. Importance To understand the crucial role of adaptive immunity in controlling cytomegalovirus infection and disease, we systematically analyzed the CMV 'ORFeome' to identify new CMV epitopes targeted primarily by CD4 T cells in humans. Our study identified >200 new T cell epitopes derived from both canonical and novel ORFs, highlighting the substantial breadth of anti-CMV T cell response and providing new targets for vaccine design.
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27
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Xiang R, Ma L, Yang M, Zheng Z, Chen X, Jia F, Xie F, Zhou Y, Li F, Wu K, Zhu Y. Increased expression of peptides from non-coding genes in cancer proteomics datasets suggests potential tumor neoantigens. Commun Biol 2021; 4:496. [PMID: 33888849 PMCID: PMC8062694 DOI: 10.1038/s42003-021-02007-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 03/22/2021] [Indexed: 02/05/2023] Open
Abstract
Neoantigen-based immunotherapy has yielded promising results in clinical trials. However, it is limited to tumor-specific mutations, and is often tailored to individual patients. Identifying suitable tumor-specific antigens is still a major challenge. Previous proteogenomics studies have identified peptides encoded by predicted non-coding sequences in human genome. To investigate whether tumors express specific peptides encoded by non-coding genes, we analyzed published proteomics data from five cancer types including 933 tumor samples and 275 matched normal samples and compared these to data from 31 different healthy human tissues. Our results reveal that many predicted non-coding genes such as DGCR9 and RHOXF1P3 encode peptides that are overexpressed in tumors compared to normal controls. Furthermore, from the non-coding genes-encoded peptides specifically detected in cancers, we predict a large number of “dark antigens” (neoantigens from non-coding genomic regions), which may provide an alternative source of neoantigens beyond standard tumor specific mutations. Rong Xiang et al. analyze the expression of non-coding genes encoded peptides in publicly-available proteomics data from five cancer types and matched controls. They identify peptides from non-coding genes including DGCR9 and RHOXF1P3 that are upregulated in tumors compared to controls, suggesting that non-coding gene-encoded peptides may be a source of neoantigens in some cancers.
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Affiliation(s)
- Rong Xiang
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China
| | - Leyao Ma
- BGI-Shenzhen, Shenzhen, China.,Southeast University, Nanjing, China
| | | | | | | | | | | | - Yiming Zhou
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Fuqiang Li
- BGI-Shenzhen, Shenzhen, China.,Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI-Shenzhen, Shenzhen, China
| | - Kui Wu
- BGI-Shenzhen, Shenzhen, China.,Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI-Shenzhen, Shenzhen, China
| | - Yafeng Zhu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
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28
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Titov A, Zmievskaya E, Ganeeva I, Valiullina A, Petukhov A, Rakhmatullina A, Miftakhova R, Fainshtein M, Rizvanov A, Bulatov E. Adoptive Immunotherapy beyond CAR T-Cells. Cancers (Basel) 2021; 13:743. [PMID: 33670139 PMCID: PMC7916861 DOI: 10.3390/cancers13040743] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/02/2021] [Accepted: 02/02/2021] [Indexed: 02/06/2023] Open
Abstract
Adoptive cell immunotherapy (ACT) is a vibrant field of cancer treatment that began progressive development in the 1980s. One of the most prominent and promising examples is chimeric antigen receptor (CAR) T-cell immunotherapy for the treatment of B-cell hematologic malignancies. Despite success in the treatment of B-cell lymphomas and leukemia, CAR T-cell therapy remains mostly ineffective for solid tumors. This is due to several reasons, such as the heterogeneity of the cellular composition in solid tumors, the need for directed migration and penetration of CAR T-cells against the pressure gradient in the tumor stroma, and the immunosuppressive microenvironment. To substantially improve the clinical efficacy of ACT against solid tumors, researchers might need to look closer into recent developments in the other branches of adoptive immunotherapy, both traditional and innovative. In this review, we describe the variety of adoptive cell therapies beyond CAR T-cell technology, i.e., exploitation of alternative cell sources with a high therapeutic potential against solid tumors (e.g., CAR M-cells) or aiming to be universal allogeneic (e.g., CAR NK-cells, γδ T-cells), tumor-infiltrating lymphocytes (TILs), and transgenic T-cell receptor (TCR) T-cell immunotherapies. In addition, we discuss the strategies for selection and validation of neoantigens to achieve efficiency and safety. We provide an overview of non-conventional TCRs and CARs, and address the problem of mispairing between the cognate and transgenic TCRs. Finally, we summarize existing and emerging approaches for manufacturing of the therapeutic cell products in traditional, semi-automated and fully automated Point-of-Care (PoC) systems.
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Affiliation(s)
- Aleksei Titov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
- Laboratory of Transplantation Immunology, National Hematology Research Centre, 125167 Moscow, Russia
| | - Ekaterina Zmievskaya
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
| | - Irina Ganeeva
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
| | - Aygul Valiullina
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
| | - Alexey Petukhov
- Institute of Hematology, Almazov National Medical Research Center, 197341 Saint Petersburg, Russia;
| | - Aygul Rakhmatullina
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
| | - Regina Miftakhova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
| | | | - Albert Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
| | - Emil Bulatov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (E.Z.); (I.G.); (A.V.); (A.R.); (R.M.); (A.R.)
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
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29
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Bartok O, Pataskar A, Nagel R, Laos M, Goldfarb E, Hayoun D, Levy R, Körner PR, Kreuger IZM, Champagne J, Zaal EA, Bleijerveld OB, Huang X, Kenski J, Wargo J, Brandis A, Levin Y, Mizrahi O, Alon M, Lebon S, Yang W, Nielsen MM, Stern-Ginossar N, Altelaar M, Berkers CR, Geiger T, Peeper DS, Olweus J, Samuels Y, Agami R. Anti-tumour immunity induces aberrant peptide presentation in melanoma. Nature 2021; 590:332-337. [PMID: 33328638 DOI: 10.1038/s41586-020-03054-1] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 10/30/2020] [Indexed: 01/29/2023]
Abstract
Extensive tumour inflammation, which is reflected by high levels of infiltrating T cells and interferon-γ (IFNγ) signalling, improves the response of patients with melanoma to checkpoint immunotherapy1,2. Many tumours, however, escape by activating cellular pathways that lead to immunosuppression. One such mechanism is the production of tryptophan metabolites along the kynurenine pathway by the enzyme indoleamine 2,3-dioxygenase 1 (IDO1), which is induced by IFNγ3-5. However, clinical trials using inhibition of IDO1 in combination with blockade of the PD1 pathway in patients with melanoma did not improve the efficacy of treatment compared to PD1 pathway blockade alone6,7, pointing to an incomplete understanding of the role of IDO1 and the consequent degradation of tryptophan in mRNA translation and cancer progression. Here we used ribosome profiling in melanoma cells to investigate the effects of prolonged IFNγ treatment on mRNA translation. Notably, we observed accumulations of ribosomes downstream of tryptophan codons, along with their expected stalling at the tryptophan codon. This suggested that ribosomes bypass tryptophan codons in the absence of tryptophan. A detailed examination of these tryptophan-associated accumulations of ribosomes-which we term 'W-bumps'-showed that they were characterized by ribosomal frameshifting events. Consistently, reporter assays combined with proteomic and immunopeptidomic analyses demonstrated the induction of ribosomal frameshifting, and the generation and presentation of aberrant trans-frame peptides at the cell surface after treatment with IFNγ. Priming of naive T cells from healthy donors with aberrant peptides induced peptide-specific T cells. Together, our results suggest that IDO1-mediated depletion of tryptophan, which is induced by IFNγ, has a role in the immune recognition of melanoma cells by contributing to diversification of the peptidome landscape.
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Affiliation(s)
- Osnat Bartok
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Abhijeet Pataskar
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Remco Nagel
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Maarja Laos
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eden Goldfarb
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Deborah Hayoun
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ronen Levy
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Pierre-Rene Körner
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Inger Z M Kreuger
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Julien Champagne
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Esther A Zaal
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, Utrecht University and Netherlands Proteomics Centre, Utrecht, The Netherlands.,Department of Biochemistry and Cell Biology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Onno B Bleijerveld
- Proteomics Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Xinyao Huang
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Juliana Kenski
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jennifer Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander Brandis
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Yishai Levin
- The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Orel Mizrahi
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sacha Lebon
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Weiwen Yang
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Morten M Nielsen
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Noam Stern-Ginossar
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Maarten Altelaar
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, Utrecht University and Netherlands Proteomics Centre, Utrecht, The Netherlands.,Proteomics Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Celia R Berkers
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, Utrecht University and Netherlands Proteomics Centre, Utrecht, The Netherlands.,Department of Biochemistry and Cell Biology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Tamar Geiger
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Daniel S Peeper
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Johanna Olweus
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| | - Reuven Agami
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands. .,Erasmus MC, Rotterdam University, Rotterdam, The Netherlands.
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30
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Minati R, Perreault C, Thibault P. A Roadmap Toward the Definition of Actionable Tumor-Specific Antigens. Front Immunol 2020; 11:583287. [PMID: 33424836 PMCID: PMC7793940 DOI: 10.3389/fimmu.2020.583287] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/30/2020] [Indexed: 12/15/2022] Open
Abstract
The search for tumor-specific antigens (TSAs) has considerably accelerated during the past decade due to the improvement of proteogenomic detection methods. This provides new opportunities for the development of novel antitumoral immunotherapies to mount an efficient T cell response against one or multiple types of tumors. While the identification of mutated antigens originating from coding exons has provided relatively few TSA candidates, the possibility of enlarging the repertoire of targetable TSAs by looking at antigens arising from non-canonical open reading frames opens up interesting avenues for cancer immunotherapy. In this review, we outline the potential sources of TSAs and the mechanisms responsible for their expression strictly in cancer cells. In line with the heterogeneity of cancer, we propose that discrete families of TSAs may be enriched in specific cancer types.
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Affiliation(s)
- Robin Minati
- École Normale Supérieure de Lyon, Université Claude Bernard Lyon I, Université de Lyon, Lyon, France
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
- Department of Chemistry, Université de Montréal, Montréal, QC, Canada
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31
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Leko V, Rosenberg SA. Identifying and Targeting Human Tumor Antigens for T Cell-Based Immunotherapy of Solid Tumors. Cancer Cell 2020; 38:454-472. [PMID: 32822573 PMCID: PMC7737225 DOI: 10.1016/j.ccell.2020.07.013] [Citation(s) in RCA: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/24/2020] [Accepted: 07/29/2020] [Indexed: 12/20/2022]
Abstract
Cancer elimination in humans can be achieved with immunotherapy that relies on T lymphocyte-mediated recognition of tumor antigens. Several types of these antigens have been recognized based on their cellular origins and expression patterns, while their detection has been greatly facilitated by recent achievements in next-generation sequencing and immunopeptidomics. Some of them have been targeted in clinical trials with various immunotherapy approaches, while many others remain untested. Here, we discuss molecular identification of different tumor antigen types, and the clinical safety and efficacy of targeting them with immunotherapy. Additionally, we suggest strategies to increase the efficacy and availability of antigen-directed immunotherapies for treatment of patients with metastatic cancer.
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Affiliation(s)
- Vid Leko
- Surgery Branch, National Cancer Institute, National Institutes of Health, Building 10-CRC, Room 3-3942, 10 Center Drive, Bethesda, MD 20892, USA.
| | - Steven A Rosenberg
- Surgery Branch, National Cancer Institute, National Institutes of Health, Building 10-CRC, Room 3-3942, 10 Center Drive, Bethesda, MD 20892, USA.
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32
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Putting into Perspective the Future of Cancer Vaccines: Targeted Immunotherapy. EUROPEAN MEDICAL JOURNAL 2020. [DOI: 10.33590/emj/19-00191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Pre-clinical models and human clinical trials have confirmed the ability of cancer vaccines to induce immune responses that are tumour-specific and, in some cases, associated with clinical response. However, cancer vaccines as a targeted immunotherapy strategy have not yet come of age. So, why the discordance after so much research has been invested in cancer vaccines? There are several reasons for this that include: limited tumour immunogenicity (limited targeted antigen expression, antigen tolerance); antigenic heterogeneity in tumours; heterogeneity of individual immune responses; multiple mechanisms associated with suppressed functional activity of immune effector cells, the underlying rationale for the use of immune checkpoint inhibitors; and immune system exhaustion. The success of checkpoint therapy has refocussed investigations into defining relationships between tumours and host immune systems, appreciating the mechanisms by which tumour cells escape immune surveillance and reinforcing recognition of the potential of vaccines in the treatment and prevention of cancer. Recent developments in cancer immunotherapies, together with associated technologies, for instance, the unparalleled achievements by immune checkpoint inhibitors and neo-antigen identification tools, may foster potential improvements in cancer vaccines for the treatment of malignancies.
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33
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Apavaloaei A, Hardy MP, Thibault P, Perreault C. The Origin and Immune Recognition of Tumor-Specific Antigens. Cancers (Basel) 2020; 12:E2607. [PMID: 32932620 PMCID: PMC7565792 DOI: 10.3390/cancers12092607] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 09/09/2020] [Accepted: 09/11/2020] [Indexed: 02/07/2023] Open
Abstract
The dominant paradigm holds that spontaneous and therapeutically induced anti-tumor responses are mediated mainly by CD8 T cells and directed against tumor-specific antigens (TSAs). The presence of specific TSAs on cancer cells can only be proven by mass spectrometry analyses. Bioinformatic predictions and reverse immunology studies cannot provide this type of conclusive evidence. Most TSAs are coded by unmutated non-canonical transcripts that arise from cancer-specific epigenetic and splicing aberrations. When searching for TSAs, it is therefore important to perform mass spectrometry analyses that interrogate not only the canonical reading frame of annotated exome but all reading frames of the entire translatome. The majority of aberrantly expressed TSAs (aeTSAs) derive from unstable short-lived proteins that are good substrates for direct major histocompatibility complex (MHC) I presentation but poor substrates for cross-presentation. This is an important caveat, because cancer cells are poor antigen-presenting cells, and the immune system, therefore, depends on cross-presentation by dendritic cells (DCs) to detect the presence of TSAs. We, therefore, postulate that, in the untreated host, most aeTSAs are undetected by the immune system. We present evidence suggesting that vaccines inducing direct aeTSA presentation by DCs may represent an attractive strategy for cancer treatment.
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Affiliation(s)
| | | | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; (A.A.); (M.-P.H.)
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; (A.A.); (M.-P.H.)
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34
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Erhard F, Dölken L, Schilling B, Schlosser A. Identification of the Cryptic HLA-I Immunopeptidome. Cancer Immunol Res 2020; 8:1018-1026. [PMID: 32561536 DOI: 10.1158/2326-6066.cir-19-0886] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/11/2020] [Accepted: 06/10/2020] [Indexed: 11/16/2022]
Abstract
The success of cancer immunotherapy relies on the ability of cytotoxic T cells to specifically recognize and eliminate tumor cells based on peptides presented by HLA-I. Although the peptide epitopes that elicit the corresponding immune response often remain unidentified, it is generally assumed that neoantigens, due to tumor-specific mutations, are the most common targets. Here, we used a mass spectrometric approach to show an underappreciated class of epitopes that accounts for up to 15% of HLA-I peptides for certain HLA alleles in various tumors and patients. These peptides are translated from cryptic open reading frames in supposedly noncoding regions in the genome and are mostly unidentifiable with conventional computational analyses of mass spectrometry (MS) data. Our approach, Peptide-PRISM, identified thousands of such cryptic peptides in tumor immunopeptidomes. About 20% of these HLA-I peptides represented the C-terminus of the corresponding translation product, suggesting frequent proteasome-independent processing. Our data also revealed HLA-I allele-dependent presentation of cryptic peptides, with HLA-A*03 and HLA-A*11 presenting the highest percentage of cryptic peptides. Our analyses refute the reported frequent presentation of HLA peptides generated by proteasome-catalyzed peptide splicing. Thus, Peptide-PRISM represents an important step toward comprehensive identification of HLA-I immunopeptidomes and reveals cryptic peptides as an abundant class of epitopes with potential relevance for novel immunotherapeutic approaches.
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Affiliation(s)
- Florian Erhard
- Institute for Virology and Immunobiology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
| | - Lars Dölken
- Institute for Virology and Immunobiology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Bastian Schilling
- Department of Dermatology, Venereology, and Allergology, University Hospital Würzburg, Würzburg, Germany
| | - Andreas Schlosser
- Rudolf Virchow Center for Experimental Biomedicine, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
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35
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Pfammatter S, Bonneil E, Lanoix J, Vincent K, Hardy MP, Courcelles M, Perreault C, Thibault P. Extending the Comprehensiveness of Immunopeptidome Analyses Using Isobaric Peptide Labeling. Anal Chem 2020; 92:9194-9204. [DOI: 10.1021/acs.analchem.0c01545] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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36
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Titov A, Valiullina A, Zmievskaya E, Zaikova E, Petukhov A, Miftakhova R, Bulatov E, Rizvanov A. Advancing CAR T-Cell Therapy for Solid Tumors: Lessons Learned from Lymphoma Treatment. Cancers (Basel) 2020; 12:cancers12010125. [PMID: 31947775 PMCID: PMC7016531 DOI: 10.3390/cancers12010125] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 12/28/2019] [Accepted: 12/30/2019] [Indexed: 12/11/2022] Open
Abstract
Chimeric antigen receptor (CAR) immunotherapy is one of the most promising modern approaches for the treatment of cancer. To date only two CAR T-cell products, Kymriah® and Yescarta®, have been approved by the Food and Drug Administration (FDA) for the treatment of lymphoblastic leukemia and B-cell lymphoma. Administration of CAR T-cells to control solid tumors has long been envisaged as one of the most difficult therapeutic tasks. The first two clinical trials conducted in sarcoma and neuroblastoma patients showed clinical benefits of CAR T-cells, yet multiple obstacles still hold us back from having accessible and efficient therapy. Why did such an effective treatment for relapsed and refractory hematological malignancies demonstrate only relatively modest efficiency in the context of solid tumors? Is it due to the lucky selection of the “magic” CD19 antigen, which might be one of a kind? Or do lymphomas lack the immunosuppressive features of solid tumors? Here we review the existing knowledge in the field of CAR T-cell therapy and address the heterogeneity of solid tumors and their diverse strategies of immunoevasion. We also provide an insight into prospective developments of CAR T-cell technologies against solid tumors.
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Affiliation(s)
- Aleksei Titov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
- Laboratory of Transplantation Immunology, National Hematology Research Centre, 125167 Moscow, Russia
| | - Aygul Valiullina
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
| | - Ekaterina Zmievskaya
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
| | - Ekaterina Zaikova
- Institute of Hematology, Almazov National Medical Research Center, 197341 Saint Petersburg, Russia;
| | - Alexey Petukhov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
- Institute of Hematology, Almazov National Medical Research Center, 197341 Saint Petersburg, Russia;
| | - Regina Miftakhova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
| | - Emil Bulatov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
- Correspondence: (E.B.); (A.R.)
| | - Albert Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (A.T.); (A.V.); (E.Z.); (A.P.); (R.M.)
- Correspondence: (E.B.); (A.R.)
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37
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Vizcaíno JA, Kubiniok P, Kovalchik KA, Ma Q, Duquette JD, Mongrain I, Deutsch EW, Peters B, Sette A, Sirois I, Caron E. The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases. Mol Cell Proteomics 2020; 19:31-49. [PMID: 31744855 PMCID: PMC6944237 DOI: 10.1074/mcp.r119.001743] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 11/18/2019] [Indexed: 12/11/2022] Open
Abstract
The science that investigates the ensembles of all peptides associated to human leukocyte antigen (HLA) molecules is termed "immunopeptidomics" and is typically driven by mass spectrometry (MS) technologies. Recent advances in MS technologies, neoantigen discovery and cancer immunotherapy have catalyzed the launch of the Human Immunopeptidome Project (HIPP) with the goal of providing a complete map of the human immunopeptidome and making the technology so robust that it will be available in every clinic. Here, we provide a long-term perspective of the field and we use this framework to explore how we think the completion of the HIPP will truly impact the society in the future. In this context, we introduce the concept of immunopeptidome-wide association studies (IWAS). We highlight the importance of large cohort studies for the future and how applying quantitative immunopeptidomics at population scale may provide a new look at individual predisposition to common immune diseases as well as responsiveness to vaccines and immunotherapies. Through this vision, we aim to provide a fresh view of the field to stimulate new discussions within the community, and present what we see as the key challenges for the future for unlocking the full potential of immunopeptidomics in this era of precision medicine.
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Affiliation(s)
- Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Peter Kubiniok
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
| | | | - Qing Ma
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada; School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | | | - Ian Mongrain
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, QC, Canada; Montreal Heart Institute, Montreal, QC, Canada
| | - Eric W Deutsch
- Institute for Systems Biology, Seattle, Washington, 98109
| | - Bjoern Peters
- La Jolla Institute for Allergy and Immunology, La Jolla, California, 92037
| | - Alessandro Sette
- La Jolla Institute for Allergy and Immunology, La Jolla, California, 92037
| | - Isabelle Sirois
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
| | - Etienne Caron
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada; Department of Pathology and Cellular Biology, Faculty of Medicine, Université de Montréal, QC H3T 1J4, Canada.
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Hardy MP, Vincent K, Perreault C. The Genomic Landscape of Antigenic Targets for T Cell-Based Leukemia Immunotherapy. Front Immunol 2019; 10:2934. [PMID: 31921187 PMCID: PMC6933603 DOI: 10.3389/fimmu.2019.02934] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 11/29/2019] [Indexed: 12/30/2022] Open
Abstract
Intensive fundamental and clinical research in cancer immunotherapy has led to the emergence and evolution of two parallel universes with surprisingly little interactions: the realm of hematologic malignancies and that of solid tumors. Treatment of hematologic cancers using allogeneic hematopoietic cell transplantation (AHCT) serendipitously led to the discovery that T cells specific for minor histocompatibility antigens (MiHAs) could cure hematopoietic cancers. Besides, studies based on treatment of solid tumor with ex vivo-expanded tumor infiltrating lymphocytes or immune checkpoint therapy demonstrated that anti-tumor responses could be achieved by targeting tumor-specific antigens (TSAs). It is our contention that much insight can be gained by sharing the tremendous amount of data generated in the two-abovementioned universes. Our perspective article has two specific goals. First, to discuss the value of methods currently used for MiHA and TSA discovery and to explain the key role of mass spectrometry analyses in this process. Second, to demonstrate the importance of broadening the scope of TSA discovery efforts beyond classic annotated protein-coding genomic sequences.
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Affiliation(s)
- Marie-Pierre Hardy
- Department of Immunobiology, Institute for Research in Immunology and Cancer, Montreal, QC, Canada
| | - Krystel Vincent
- Department of Immunobiology, Institute for Research in Immunology and Cancer, Montreal, QC, Canada
| | - Claude Perreault
- Department of Immunobiology, Institute for Research in Immunology and Cancer, Montreal, QC, Canada
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Wang S, Mao C, Liu S. Peptides encoded by noncoding genes: challenges and perspectives. Signal Transduct Target Ther 2019; 4:57. [PMID: 31871775 PMCID: PMC6908703 DOI: 10.1038/s41392-019-0092-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 10/17/2019] [Accepted: 10/27/2019] [Indexed: 01/01/2023] Open
Abstract
In recent years, noncoding gene (NCG) translation events have been frequently discovered. The resultant peptides, as novel findings in the life sciences, perform unexpected functions of increasingly recognized importance in many fundamental biological and pathological processes. The emergence of these novel peptides, in turn, has advanced the field of genomics while indispensably aiding living organisms. The peptides from NCGs serve as important links between extracellular stimuli and intracellular adjustment mechanisms. These peptides are also important entry points for further exploration of the mysteries of life that may trigger a new round of revolutionary biotechnological discoveries. Insights into NCG-derived peptides will assist in understanding the secrets of life and the causes of diseases, and will also open up new paths to the treatment of diseases such as cancer. Here, a critical review is presented on the action modes and biological functions of the peptides encoded by NCGs. The challenges and future trends in searching for and studying NCG peptides are also critically discussed.
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Affiliation(s)
- Shuo Wang
- Changhai Hospital, Shanghai, 200433 China
| | - Chuanbin Mao
- Department of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, Institute for Biomedical Engineering, Science and Technology, University of Oklahoma, 101 Stephenson Parkway, Norman, OK 73019-5300 USA
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40
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Mösch A, Raffegerst S, Weis M, Schendel DJ, Frishman D. Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors. Front Genet 2019; 10:1141. [PMID: 31798635 PMCID: PMC6878726 DOI: 10.3389/fgene.2019.01141] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/21/2019] [Indexed: 12/30/2022] Open
Abstract
In the last years, immunotherapies have shown tremendous success as treatments for multiple types of cancer. However, there are still many obstacles to overcome in order to increase response rates and identify effective therapies for every individual patient. Since there are many possibilities to boost a patient's immune response against a tumor and not all can be covered, this review is focused on T cell receptor-mediated therapies. CD8+ T cells can detect and destroy malignant cells by binding to peptides presented on cell surfaces by MHC (major histocompatibility complex) class I molecules. CD4+ T cells can also mediate powerful immune responses but their peptide recognition by MHC class II molecules is more complex, which is why the attention has been focused on CD8+ T cells. Therapies based on the power of T cells can, on the one hand, enhance T cell recognition by introducing TCRs that preferentially direct T cells to tumor sites (so called TCR-T therapy) or through vaccination to induce T cells in vivo. On the other hand, T cell activity can be improved by immune checkpoint inhibition or other means that help create a microenvironment favorable for cytotoxic T cell activity. The manifold ways in which the immune system and cancer interact with each other require not only the use of large omics datasets from gene, to transcript, to protein, and to peptide but also make the application of machine learning methods inevitable. Currently, discovering and selecting suitable TCRs is a very costly and work intensive in vitro process. To facilitate this process and to additionally allow for highly personalized therapies that can simultaneously target multiple patient-specific antigens, especially neoepitopes, breakthrough computational methods for predicting antigen presentation and TCR binding are urgently required. Particularly, potential cross-reactivity is a major consideration since off-target toxicity can pose a major threat to patient safety. The current speed at which not only datasets grow and are made available to the public, but also at which new machine learning methods evolve, is assuring that computational approaches will be able to help to solve problems that immunotherapies are still facing.
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Affiliation(s)
- Anja Mösch
- Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Silke Raffegerst
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Manon Weis
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Dolores J. Schendel
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Dmitrij Frishman
- Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany
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Toward in silico Identification of Tumor Neoantigens in Immunotherapy. Trends Mol Med 2019; 25:980-992. [PMID: 31494024 DOI: 10.1016/j.molmed.2019.08.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 07/13/2019] [Accepted: 08/02/2019] [Indexed: 12/30/2022]
Abstract
Cancer immunotherapy includes cancer vaccination, adoptive T cell transfer (ACT) with chimeric antigen receptor (CAR) T cells, and administration of tumor-infiltrating lymphocytes and immune-checkpoint blockade such as anti-CTLA4/anti-PD1 inhibitors that can directly or indirectly target tumor neoantigens and elicit a T cell response. Accurate, rapid, and cost-effective identification of neoantigens, however, is critical for successful immunotherapy. Here, we review computational issues for neoantigen identification by summarizing the various sources of neoantigens and their identification from high-throughput sequencing data. Several opinions are presented to inspire further discussions toward improving neoantigen identification. Continuing efforts are required to improve the sensitivity and specificity of bona fide neoantigens, taking advantage of the development of high-throughput sequencing techniques for effective and personalized cancer immunotherapy.
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Richters MM, Xia H, Campbell KM, Gillanders WE, Griffith OL, Griffith M. Best practices for bioinformatic characterization of neoantigens for clinical utility. Genome Med 2019; 11:56. [PMID: 31462330 PMCID: PMC6714459 DOI: 10.1186/s13073-019-0666-2] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/16/2019] [Indexed: 12/13/2022] Open
Abstract
Neoantigens are newly formed peptides created from somatic mutations that are capable of inducing tumor-specific T cell recognition. Recently, researchers and clinicians have leveraged next generation sequencing technologies to identify neoantigens and to create personalized immunotherapies for cancer treatment. To create a personalized cancer vaccine, neoantigens must be computationally predicted from matched tumor-normal sequencing data, and then ranked according to their predicted capability in stimulating a T cell response. This candidate neoantigen prediction process involves multiple steps, including somatic mutation identification, HLA typing, peptide processing, and peptide-MHC binding prediction. The general workflow has been utilized for many preclinical and clinical trials, but there is no current consensus approach and few established best practices. In this article, we review recent discoveries, summarize the available computational tools, and provide analysis considerations for each step, including neoantigen prediction, prioritization, delivery, and validation methods. In addition to reviewing the current state of neoantigen analysis, we provide practical guidance, specific recommendations, and extensive discussion of critical concepts and points of confusion in the practice of neoantigen characterization for clinical use. Finally, we outline necessary areas of development, including the need to improve HLA class II typing accuracy, to expand software support for diverse neoantigen sources, and to incorporate clinical response data to improve neoantigen prediction algorithms. The ultimate goal of neoantigen characterization workflows is to create personalized vaccines that improve patient outcomes in diverse cancer types.
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Affiliation(s)
- Megan M Richters
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA
- McDonnell Genome Institute, Forest Park Avenue, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Huiming Xia
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA
- McDonnell Genome Institute, Forest Park Avenue, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Katie M Campbell
- Division of Hematology and Oncology, Medical Plaza Driveway, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, 90024, USA
| | - William E Gillanders
- Department of Surgery, South Euclid Avenue, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Siteman Cancer Center, Parkview Place, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Obi L Griffith
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- McDonnell Genome Institute, Forest Park Avenue, Washington University School of Medicine, St. Louis, MO, 63108, USA.
- Siteman Cancer Center, Parkview Place, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Department of Genetics, South Euclid Avenue, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - Malachi Griffith
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- McDonnell Genome Institute, Forest Park Avenue, Washington University School of Medicine, St. Louis, MO, 63108, USA.
- Siteman Cancer Center, Parkview Place, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Department of Genetics, South Euclid Avenue, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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Marcu A, Eyrich M. Therapeutic vaccine strategies to induce tumor-specific T-cell responses. Bone Marrow Transplant 2019; 54:806-809. [PMID: 31431710 DOI: 10.1038/s41409-019-0619-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Haploidentical stem cell transplantation is increasingly used worldwide as an alternative donor transplantation method. Although novel preparative regimens and T-cell deletion techniques have improved engraftment rates and viral safety, relapses of the underlying leukemia/lymphoma are still frequent, thus representing a significant and unsolved problem. Recent technological advances now enable us to individually decipher the MHC-associated immunopeptidome of cancer cells in reasonable time. These tumor-specific peptides can then be used to skew the early immune reconstitution toward anti-leukemia T-cell responses. In this meeting contribution, we summarize recent innovations in the field and present preliminary data on using this technique for cancer epitope discovery in a paradigmatic pediatric brain tumor with very low mutational burden.
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Affiliation(s)
- Ana Marcu
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
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45
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Abstract
T cells recognize antigen peptides displayed by HLA molecules and specifically eliminate their target cells. Identification of responsible antigens as well as understanding the mechanism by which antigens are produced inside cells are equally crucial for cancer immunology. In this review, we introduce proteogenomics and its applications in cancer antigen research, which leverages mass spectrometry and next-generation sequencing. The approach comprehensively captures immunopeptidome displayed by HLA, revealing new classes of antigens, such as mutation-derived neoantigens, spliced peptides, and non-coding region derived peptides. These antigens may serve as therapeutic targets or biomarkers. Thus, proteogenomics is a promising approach for cancer antigen research and contributes to immunotherapy development.
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Affiliation(s)
- Takayuki Kanaseki
- Department of Pathology, Sapporo Medical University , Sapporo , Japan
| | - Toshihiko Torigoe
- Department of Pathology, Sapporo Medical University , Sapporo , Japan
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Depil S, Bonaventura P, Alcazer V. Cancer vaccines: what's next? Oncotarget 2019; 10:3985-3987. [PMID: 31258838 PMCID: PMC6592285 DOI: 10.18632/oncotarget.27006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Accepted: 04/25/2019] [Indexed: 12/30/2022] Open
Affiliation(s)
- Stéphane Depil
- Centre Léon Bérard, Lyon, France; Inserm U1052/CNRS 5286, Centre de Recherche en Cancérologie de Lyon, Lyon, France
| | - Paola Bonaventura
- Centre Léon Bérard, Lyon, France; Inserm U1052/CNRS 5286, Centre de Recherche en Cancérologie de Lyon, Lyon, France
| | - Vincent Alcazer
- Centre Léon Bérard, Lyon, France; Inserm U1052/CNRS 5286, Centre de Recherche en Cancérologie de Lyon, Lyon, France
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Laumont CM, Vincent K, Hesnard L, Audemard É, Bonneil É, Laverdure JP, Gendron P, Courcelles M, Hardy MP, Côté C, Durette C, St-Pierre C, Benhammadi M, Lanoix J, Vobecky S, Haddad E, Lemieux S, Thibault P, Perreault C. Noncoding regions are the main source of targetable tumor-specific antigens. Sci Transl Med 2018; 10:10/470/eaau5516. [DOI: 10.1126/scitranslmed.aau5516] [Citation(s) in RCA: 256] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 11/15/2018] [Indexed: 12/15/2022]
Abstract
Tumor-specific antigens (TSAs) represent ideal targets for cancer immunotherapy, but few have been identified thus far. We therefore developed a proteogenomic approach to enable the high-throughput discovery of TSAs coded by potentially all genomic regions. In two murine cancer cell lines and seven human primary tumors, we identified a total of 40 TSAs, about 90% of which derived from allegedly noncoding regions and would have been missed by standard exome-based approaches. Moreover, most of these TSAs derived from nonmutated yet aberrantly expressed transcripts (such as endogenous retroelements) that could be shared by multiple tumor types. Last, we demonstrated that, in mice, the strength of antitumor responses after TSA vaccination was influenced by two parameters that can be estimated in humans and could serve for TSA prioritization in clinical studies: TSA expression and the frequency of TSA-responsive T cells in the preimmune repertoire. In conclusion, the strategy reported herein could considerably facilitate the identification and prioritization of actionable human TSAs.
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Servín-Blanco R, Chávaro-Ortiz RM, Zamora-Alvarado R, Martínez-Cortes F, Gevorkian G, Manoutcharian K. Generation of cancer vaccine immunogens derived from major histocompatibility complex (MHC) class I molecules using variable epitope libraries. Immunol Lett 2018; 204:47-54. [PMID: 30339819 DOI: 10.1016/j.imlet.2018.10.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 10/04/2018] [Accepted: 10/15/2018] [Indexed: 12/22/2022]
Abstract
Although various immune checkpoint inhibitors (ICIs), used for the treatment of advanced cancer, showed remarkably durable tumor regression in a subset of patients, there are important limitations in a large group of non-responders, and the generation of novel immunogens capable of inducing protective cellular immune responses is a priority in cancer immunotherapy field. During the last decades, several types of vaccine immunogens have been used in numerous preclinical studies and clinical trials. However, although immunity to tumor Ags can be elicited by most vaccines tested, their clinical efficacy remains modest. Recently, we have developed an innovative vaccine concept, called Variable Epitope Libraries (VELs), with the purpose to exploit the high antigenic variability of many important pathogens and tumor cells as starting points for the construction of a new class of vaccine immunogens capable of inducing the largest possible repertoire of both B and T cells. In the present study, we decided to generate VEL immunogens derived from both classical and non-classical major histocompatibility complex (MHC) class I molecules. The MHC molecules, responsible for antigen presentation and subsequent activation of T lymphocytes, undergo multiple modifications that directly affect their proper function, resulting in immune escape of tumor cells. Two large VELs derived from multi-epitope region of H2-Kd and Qa-2 sequences (46 and 34 amino acids long, respectively), along with their wild type counterparts have been generated as synthetic peptides and tested in an aggressive 4T1 mouse model of breast cancer. Significant inhibition of tumor growth and the reduction of metastatic lesions in the lungs of immunized mice were observed. This study demonstrated for the first time the successful application of VELs carrying combinatorial libraries of epitope variants derived from MHC class I molecules as novel vaccine immunogens.
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Affiliation(s)
- Rodolfo Servín-Blanco
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), AP 70228, Cuidad Universitaria, CDMX, 04510, Mexico
| | - Rosa Mariana Chávaro-Ortiz
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), AP 70228, Cuidad Universitaria, CDMX, 04510, Mexico
| | - Rubén Zamora-Alvarado
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), AP 70228, Cuidad Universitaria, CDMX, 04510, Mexico
| | - Fernando Martínez-Cortes
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), AP 70228, Cuidad Universitaria, CDMX, 04510, Mexico
| | - Goar Gevorkian
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), AP 70228, Cuidad Universitaria, CDMX, 04510, Mexico
| | - Karen Manoutcharian
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), AP 70228, Cuidad Universitaria, CDMX, 04510, Mexico.
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Abstract
Cancer is characterized by an accumulation of genetic alterations. Somatic mutations can generate cancer-specific neoepitopes that are recognized by autologous T cells as foreign and constitute ideal cancer vaccine targets. Every tumor has its own unique composition of mutations, with only a small fraction shared between patients. Technological advances in genomics, data science, and cancer immunotherapy now enable the rapid mapping of the mutations within a genome, rational selection of vaccine targets, and on-demand production of a therapy customized to a patient's individual tumor. First-in-human clinical trials of personalized cancer vaccines have shown the feasibility, safety, and immunotherapeutic activity of targeting individual tumor mutation signatures. With vaccination development being promoted by emerging innovations of the digital age, vaccinating a patient with individual tumor mutations may become the first truly personalized treatment for cancer.
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Affiliation(s)
- Ugur Sahin
- Biopharmaceutical New Technologies (BioNTech) Corporation, 55131 Mainz, Germany. .,TRON-Translational Oncology at the University Medical Center of Johannes Gutenberg University gGmbH, 55131 Mainz, Germany.,University Medical Center of the Johannes Gutenberg University, 55131 Mainz, Germany
| | - Özlem Türeci
- CI3 Cluster for Individualized Immunointervention e.V., 55131 Mainz, Germany
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50
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MHC class I presented antigens from malignancies: A perspective on analytical characterization & immunogenicity. J Proteomics 2018; 191:48-57. [PMID: 29698800 DOI: 10.1016/j.jprot.2018.04.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 04/10/2018] [Accepted: 04/14/2018] [Indexed: 12/17/2022]
Abstract
The field of cancer immunotherapy has expanded rapidly in the past few years, with many new approaches entering the clinic for T cell mediated killing of tumors. Several of these clinical approaches involve the exploitation of a CD8 + T cell response against MHC I presented tumor antigens. Here, we describe the types of tumor antigens which are considered as targets in the design of T cell based therapeutic approaches, the rationale for targeting MHC I antigens and the analytical tools commonly employed for the discovery of MHC I presented peptides. The advantages and disadvantages of each approach are discussed and a perspective on the future directions of the MHC I peptide exploration field and biotherapeutic strategies is given. SIGNIFICANCE: This work is the first time a review article has been written to summarize all the various types of tumor antigens, and the analytical tools employed to discover and characterize them.
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