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Li T, Li Y, Zhu X, He Y, Wu Y, Ying T, Xie Z. Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction. Semin Cancer Biol 2023; 91:50-69. [PMID: 36870459 DOI: 10.1016/j.semcancer.2023.02.007] [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: 11/10/2022] [Revised: 02/13/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023]
Abstract
Cancer immunotherapy is a method of controlling and eliminating tumors by reactivating the body's cancer-immunity cycle and restoring its antitumor immune response. The increased availability of data, combined with advancements in high-performance computing and innovative artificial intelligence (AI) technology, has resulted in a rise in the use of AI in oncology research. State-of-the-art AI models for functional classification and prediction in immunotherapy research are increasingly used to support laboratory-based experiments. This review offers a glimpse of the current AI applications in immunotherapy, including neoantigen recognition, antibody design, and prediction of immunotherapy response. Advancing in this direction will result in more robust predictive models for developing better targets, drugs, and treatments, and these advancements will eventually make their way into the clinical setting, pushing AI forward in the field of precision oncology.
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Affiliation(s)
- Tong Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yupeng Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaoyi Zhu
- MOE/NHC Key Laboratory of Medical Molecular Virology, Shanghai Institute of Infectious Disease and Biosecurity, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Engineering Research Center for Synthetic Immunology, Shanghai, China
| | - Yao He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yanling Wu
- MOE/NHC Key Laboratory of Medical Molecular Virology, Shanghai Institute of Infectious Disease and Biosecurity, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Engineering Research Center for Synthetic Immunology, Shanghai, China
| | - Tianlei Ying
- MOE/NHC Key Laboratory of Medical Molecular Virology, Shanghai Institute of Infectious Disease and Biosecurity, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Engineering Research Center for Synthetic Immunology, Shanghai, China.
| | - Zhi Xie
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China; Center for Precision Medicine, Sun Yat-sen University, Guangzhou, China.
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52
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Lim CP, Kok BH, Lim HT, Chuah C, Abdul Rahman B, Abdul Majeed AB, Wykes M, Leow CH, Leow CY. Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design. Pathog Glob Health 2023; 117:134-151. [PMID: 35550001 PMCID: PMC9970233 DOI: 10.1080/20477724.2022.2072456] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
The ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally devastated public health, the economies of many countries and quality of life universally. The recent emergence of immune-escaped variants and scenario of vaccinated individuals being infected has raised the global concerns about the effectiveness of the current available vaccines in transmission control and disease prevention. Given the high rate mutation of SARS-CoV-2, an efficacious vaccine targeting against multiple variants that contains virus-specific epitopes is desperately needed. An immunoinformatics approach is gaining traction in vaccine design and development due to the significant reduction in time and cost of immunogenicity studies and increasing reliability of the generated results. It can underpin the development of novel therapeutic methods and accelerate the design and production of peptide vaccines for infectious diseases. Structural proteins, particularly spike protein (S), along with other proteins have been studied intensively as promising coronavirus vaccine targets. Numbers of promising online immunological databases, tools and web servers have widely been employed for the design and development of next generation COVID-19 vaccines. This review highlights the role of immunoinformatics in identifying immunogenic peptides as potential vaccine targets, involving databases, and prediction and characterization of epitopes which can be harnessed for designing future coronavirus vaccines.
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Affiliation(s)
- Chin Peng Lim
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia.,Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Boon Hui Kok
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Hui Ting Lim
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Candy Chuah
- Faculty of Health Sciences, Universiti Teknologi MARA, Penang, Malaysia
| | | | | | - Michelle Wykes
- Molecular Immunology Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Chiuan Herng Leow
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Chiuan Yee Leow
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia
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Schroeder SM, Nelde A, Walz JS. Viral T-cell epitopes - Identification, characterization and clinical application. Semin Immunol 2023; 66:101725. [PMID: 36706520 DOI: 10.1016/j.smim.2023.101725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 01/26/2023]
Abstract
T-cell immunity, mediated by CD4+ and CD8+ T cells, represents a cornerstone in the control of viral infections. Virus-derived T-cell epitopes are represented by human leukocyte antigen (HLA)-presented viral peptides on the surface of virus-infected cells. They are the prerequisite for the recognition of infected cells by T cells. Knowledge of viral T-cell epitopes provides on the one hand a diagnostic tool to decipher protective T-cell immune responses in the human population and on the other hand various prophylactic and therapeutic options including vaccination approaches and the transfer of virus-specific T cells. Such approaches have already been proven to be effective against various viral infections, particularly in immunocompromised patients lacking sufficient humoral, antibody-based immune response. This review provides an overview on the state of the art as well as current studies regarding the identification and characterization of viral T-cell epitopes and approaches of clinical application. In the first chapter in silico prediction tools and direct, mass spectrometry-based identification of viral T-cell epitopes is compared. The second chapter provides an overview of commonly used assays for further characterization of T-cell responses and phenotypes. The final chapter presents an overview of clinical application of viral T-cell epitopes with a focus on human immunodeficiency virus (HIV), human cytomegalovirus (HCMV) and severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), being representatives of relevant viruses.
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Affiliation(s)
- Sarah M Schroeder
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany; Department for Otorhinolaryngology, Head, and Neck Surgery, University Hospital Tübingen, Tübingen, Germany; Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Annika Nelde
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany; Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Juliane S Walz
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany; Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany; Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
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Mühlenbruch L, Abou-Kors T, Dubbelaar ML, Bichmann L, Kohlbacher O, Bens M, Thomas J, Ezić J, Kraus JM, Kestler HA, von Witzleben A, Mytilineos J, Fürst D, Engelhardt D, Doescher J, Greve J, Schuler PJ, Theodoraki MN, Brunner C, Hoffmann TK, Rammensee HG, Walz JS, Laban S. The HLA ligandome of oropharyngeal squamous cell carcinomas reveals shared tumour-exclusive peptides for semi-personalised vaccination. Br J Cancer 2023; 128:1777-1787. [PMID: 36823366 PMCID: PMC9949688 DOI: 10.1038/s41416-023-02197-y] [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: 09/13/2022] [Revised: 01/24/2023] [Accepted: 02/01/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND The immune peptidome of OPSCC has not previously been studied. Cancer-antigen specific vaccination may improve clinical outcome and efficacy of immune checkpoint inhibitors such as PD1/PD-L1 antibodies. METHODS Mapping of the OPSCC HLA ligandome was performed by mass spectrometry (MS) based analysis of naturally presented HLA ligands isolated from tumour tissue samples (n = 40) using immunoaffinity purification. The cohort included 22 HPV-positive (primarily HPV-16) and 18 HPV-negative samples. A benign reference dataset comprised of the HLA ligandomes of benign haematological and tissue datasets was used to identify tumour-associated antigens. RESULTS MS analysis led to the identification of naturally HLA-presented peptides in OPSCC tumour tissue. In total, 22,769 peptides from 9485 source proteins were detected on HLA class I. For HLA class II, 15,203 peptides from 4634 source proteins were discovered. By comparative profiling against the benign HLA ligandomic datasets, 29 OPSCC-associated HLA class I ligands covering 11 different HLA allotypes and nine HLA class II ligands were selected to create a peptide warehouse. CONCLUSION Tumour-associated peptides are HLA-presented on the cell surfaces of OPSCCs. The established warehouse of OPSCC-associated peptides can be used for downstream immunogenicity testing and peptide-based immunotherapy in (semi)personalised strategies.
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Affiliation(s)
- Lena Mühlenbruch
- grid.10392.390000 0001 2190 1447Institute for Cell Biology, Department of Immunology, Eberhard Karls University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Department of Peptide-based Immunotherapy, Eberhard Karls University and University Hospital Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,German Cancer Consortium (DKTK), Partner Site Tübingen, 72076 Tübingen, Baden-Württemberg Germany
| | - Tsima Abou-Kors
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Marissa L. Dubbelaar
- grid.10392.390000 0001 2190 1447Institute for Cell Biology, Department of Immunology, Eberhard Karls University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Department of Peptide-based Immunotherapy, Eberhard Karls University and University Hospital Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Quantitative Biology Center (QBiC), Eberhard Karls University Tübingen, 72076 Tübingen, Baden-Württemberg Germany
| | - Leon Bichmann
- grid.10392.390000 0001 2190 1447Institute for Cell Biology, Department of Immunology, Eberhard Karls University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Applied Bioinformatics, Department of Computer Science, Eberhard Karls University Tübingen, 72076 Tübingen, Baden-Württemberg Germany
| | - Oliver Kohlbacher
- grid.10392.390000 0001 2190 1447Applied Bioinformatics, Department of Computer Science, Eberhard Karls University Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence Machine Learning in the Sciences (EXC2064), Eberhard Karls University Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.411544.10000 0001 0196 8249Institute for Translational Bioinformatics, University Hospital Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Institute for Bioinformatics and Medical Informatics, Eberhard Karls University Tübingen, 72076 Tübingen, Baden-Württemberg Germany
| | - Martin Bens
- grid.418245.e0000 0000 9999 5706Leibniz-Institute on Aging, Fritz-Lipmann-Institute, 07745 Jena, Thüringen Germany
| | - Jaya Thomas
- grid.5491.90000 0004 1936 9297CRUK and NIHR Experimental Cancer Medicine Center & School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ UK
| | - Jasmin Ezić
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Johann M. Kraus
- grid.6582.90000 0004 1936 9748Ulm University, Institute of Medical Systems Biology, Ulm, Germany
| | - Hans A. Kestler
- grid.6582.90000 0004 1936 9748Ulm University, Institute of Medical Systems Biology, Ulm, Germany
| | - Adrian von Witzleben
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Joannis Mytilineos
- grid.410712.10000 0004 0473 882XInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden–Württemberg–Hessen, and University Hospital Ulm, Ulm, Germany ,grid.6582.90000 0004 1936 9748Institute of Transfusion Medicine, Ulm University, Ulm, Germany ,German Stem Cell Donor Registry, German Red Cross Blood Transfusion Service, Ulm, Germany
| | - Daniel Fürst
- grid.410712.10000 0004 0473 882XInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden–Württemberg–Hessen, and University Hospital Ulm, Ulm, Germany ,grid.6582.90000 0004 1936 9748Institute of Transfusion Medicine, Ulm University, Ulm, Germany
| | - Daphne Engelhardt
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Johannes Doescher
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Jens Greve
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Patrick J. Schuler
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Marie-Nicole Theodoraki
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Cornelia Brunner
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Thomas K. Hoffmann
- grid.410712.10000 0004 0473 882XDepartment of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany
| | - Hans-Georg Rammensee
- grid.10392.390000 0001 2190 1447Institute for Cell Biology, Department of Immunology, Eberhard Karls University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Department of Peptide-based Immunotherapy, Eberhard Karls University and University Hospital Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,German Cancer Consortium (DKTK), Partner Site Tübingen, 72076 Tübingen, Baden-Württemberg Germany
| | - Juliane S. Walz
- grid.10392.390000 0001 2190 1447Institute for Cell Biology, Department of Immunology, Eberhard Karls University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Department of Peptide-based Immunotherapy, Eberhard Karls University and University Hospital Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.10392.390000 0001 2190 1447Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Baden-Württemberg Germany ,grid.411544.10000 0001 0196 8249Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Baden-Württemberg 72076 Germany
| | - Simon Laban
- Department of Otorhinolaryngology and Head & Neck Surgery, Ulm University Medical Center, Head and Neck Cancer Center of the Comprehensive Cancer Center Ulm, Ulm, Germany.
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Jani SP, Kumar SP, Mangukia N, Patel SK, Pandya HA, Rawal RM. MHC2AffyPred: A machine-learning approach to estimate affinity of MHC class II peptides based on structural interaction fingerprints. Proteins 2023; 91:277-289. [PMID: 36116110 DOI: 10.1002/prot.26428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 08/03/2022] [Accepted: 08/25/2022] [Indexed: 01/07/2023]
Abstract
Understanding how MHC class II (MHC-II) binding peptides with differing lengths exhibit specific interaction at the core and extended sites within the large MHC-II pocket is a very important aspect of immunological research for designing peptides. Certain efforts were made to generate peptide conformations amenable for MHC-II binding and calculate the binding energy of such complex formation but not directed toward developing a relationship between the peptide conformation in MHC-II structures and the binding affinity (BA) (IC50 ). We present here a machine-learning approach to calculate the BA of the peptides within the MHC-II pocket for HLA-DRA1, HLA-DRB1, HLA-DP, and HLA-DQ allotypes. Instead of generating ensembles of peptide conformations conventionally, the biased mode of conformations was created by considering the peptides in the crystal structures of pMHC-II complexes as the templates, followed by site-directed peptide docking. The structural interaction fingerprints generated from such docked pMHC-II structures along with the Moran autocorrelation descriptors were trained using a random forest regressor specific to each MHC-II peptide lengths (9-19). The entire workflow is automated using Linux shell and Perl scripts to promote the utilization of MHC2AffyPred program to any characterized MHC-II allotypes and is made for free access at https://github.com/SiddhiJani/MHC2AffyPred. The MHC2AffyPred attained better performance (correlation coefficient [CC] of .612-.898) than MHCII3D (.03-.594) and NetMHCIIpan-3.2 (.289-.692) programs in the HLA-DRA1, HLA-DRB1 types. Similarly, the MHC2AffyPred program achieved CC between .91 and .98 for HLA-DP and HLA-DQ peptides (13-mer to 17-mer). Further, a case study on MHC-II binding 15-mer peptides of severe acute respiratory syndrome coronavirus-2 showed very close competency in computing the IC50 values compared to the sequence-based NetMHCIIpan v3.2 and v4.0 programs with a correlation of .998 and .570, respectively.
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Affiliation(s)
- Siddhi P Jani
- Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India
| | - Sivakumar Prasanth Kumar
- Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India.,Department of Life Science, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India
| | - Naman Mangukia
- Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India.,BioInnovations, Mumbai, Maharashtra, India
| | - Saumya K Patel
- Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India
| | - Himanshu A Pandya
- Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India.,Department of Life Science, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India
| | - Rakesh M Rawal
- Department of Life Science, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India
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Martinov T, Greenberg PD. Targeting Driver Oncogenes and Other Public Neoantigens Using T Cell Receptor-Based Cellular Therapy. ANNUAL REVIEW OF CANCER BIOLOGY 2023; 7:331-351. [PMID: 37655310 PMCID: PMC10470615 DOI: 10.1146/annurev-cancerbio-061521-082114] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
T cell reactivity to tumor-specific neoantigens can drive endogenous and therapeutically induced antitumor immunity. However, most tumor-specific neoantigens are unique to each patient (private) and targeting them requires personalized therapy. A smaller subset of neoantigens includes epitopes that span recurrent mutation hotspots, translocations, or gene fusions in oncogenic drivers and tumor suppressors, as well as epitopes that arise from viral oncogenic proteins. Such antigens are likely to be shared across patients (public), uniformly expressed within a tumor, and required for cancer cell survival and fitness. Although a limited number of these public neoantigens are naturally immunogenic, recent studies affirm their clinical utility. In this review, we highlight efforts to target mutant KRAS, mutant p53, and epitopes derived from oncogenic viruses using T cells engineered with off-the-shelf T cell receptors. We also discuss the challenges and strategies to achieving more effective T cell therapies, particularly in the context of solid tumors.
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Affiliation(s)
- Tijana Martinov
- Program in Immunology and Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Philip D Greenberg
- Program in Immunology and Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Immunology Department, University of Washington, Seattle, Washington, USA
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57
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Qin R, An C, Chen W. Physical-Chemical Regulation of Membrane Receptors Dynamics in Viral Invasion and Immune Defense. J Mol Biol 2023; 435:167800. [PMID: 36007627 PMCID: PMC9394170 DOI: 10.1016/j.jmb.2022.167800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/13/2022] [Accepted: 08/18/2022] [Indexed: 02/04/2023]
Abstract
Mechanical cues dynamically regulate membrane receptors functions to trigger various physiological and pathological processes from viral invasion to immune defense. These cues mainly include various types of dynamic mechanical forces and the spatial confinement of plasma membrane. However, the molecular mechanisms of how they couple with biochemical cues in regulating membrane receptors functions still remain mysterious. Here, we review recent advances in methodologies of single-molecule biomechanical techniques and in novel biomechanical regulatory mechanisms of critical ligand recognition of viral and immune receptors including SARS-CoV-2 spike protein, T cell receptor (TCR) and other co-stimulatory immune receptors. Furthermore, we provide our perspectives of the general principle of how force-dependent kinetics determine the dynamic functions of membrane receptors and of biomechanical-mechanism-driven SARS-CoV-2 neutralizing antibody design and TCR engineering for T-cell-based therapies.
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Affiliation(s)
- Rui Qin
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Chenyi An
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China; School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Wei Chen
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China; Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory for Modern Optical Instrumentation Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310058, Zhejiang, China.
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58
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Kuri P, Goswami P. Current Update on Rotavirus in-Silico Multiepitope Vaccine Design. ACS OMEGA 2023; 8:190-207. [PMID: 36643547 PMCID: PMC9835168 DOI: 10.1021/acsomega.2c07213] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 12/14/2022] [Indexed: 06/06/2023]
Abstract
Rotavirus gastroenteritis is one of the leading causes of pediatric morbidity and mortality worldwide in infants and under-five populations. The World Health Organization (WHO) recommended global incorporation of the rotavirus vaccine in national immunization programs to alleviate the burden of the disease. Implementation of the rotavirus vaccination in certain regions of the world brought about a significant and consistent reduction of rotavirus-associated hospitalizations. However, the efficacy of licensed vaccines remains suboptimal in low-income countries where the incidences of rotavirus gastroenteritis continue to happen unabated. The problem of low efficacy of currently licensed oral rotavirus vaccines in low-income countries necessitates continuous exploration, design, and development of new rotavirus vaccines. Traditional vaccine development is a complex, expensive, labor-intensive, and time-consuming process. Reverse vaccinology essentially utilizes the genome and proteome information on pathogens and has opened new avenues for in-silico multiepitope vaccine design for a plethora of pathogens, promising time reduction in the complete vaccine development pipeline by complementing the traditional vaccinology approach. A substantial number of reviews on licensed rotavirus vaccines and those under evaluation are already available in the literature. However, a collective account of rotavirus in-silico vaccines is lacking in the literature, and such an account may further fuel the interest of researchers to use reverse vaccinology to expedite the vaccine development process. Therefore, the main focus of this review is to summarize the research endeavors undertaken for the design and development of rotavirus vaccines by the reverse vaccinology approach utilizing the tools of immunoinformatics.
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59
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Lybaert L, Lefever S, Fant B, Smits E, De Geest B, Breckpot K, Dirix L, Feldman SA, van Criekinge W, Thielemans K, van der Burg SH, Ott PA, Bogaert C. Challenges in neoantigen-directed therapeutics. Cancer Cell 2023; 41:15-40. [PMID: 36368320 DOI: 10.1016/j.ccell.2022.10.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 08/19/2022] [Accepted: 10/11/2022] [Indexed: 11/11/2022]
Abstract
A fundamental prerequisite for the efficacy of cancer immunotherapy is the presence of functional, antigen-specific T cells within the tumor. Neoantigen-directed therapy is a promising strategy that aims at targeting the host's immune response against tumor-specific antigens, thereby eradicating cancer cells. Initial forays have been made in clinical environments utilizing vaccines and adoptive cell therapy; however, many challenges lie ahead. We provide an in-depth overview of the current state of the field with an emphasis on in silico neoantigen discovery and the clinical aspects that need to be addressed to unlock the full potential of this therapy.
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Affiliation(s)
| | | | | | - Evelien Smits
- Center for Oncological Research, University of Antwerp, 2610 Wilrijk, Belgium
| | - Bruno De Geest
- Department of Pharmaceutics, Ghent University, 9000 Ghent, Belgium
| | - Karine Breckpot
- Laboratory of Molecular and Cellular Therapy, Department of Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Luc Dirix
- Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Steven A Feldman
- Center for Cancer Cell Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - Wim van Criekinge
- Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium
| | - Kris Thielemans
- Laboratory of Molecular and Cellular Therapy, Department of Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Sjoerd H van der Burg
- Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, the Netherlands
| | - Patrick A Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
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Puerta CJ, Cuellar A, Lasso P, Mateus J, Gonzalez JM. Trypanosoma cruzi-specific CD8 + T cells and other immunological hallmarks in chronic Chagas cardiomyopathy: Two decades of research. Front Cell Infect Microbiol 2023; 12:1075717. [PMID: 36683674 PMCID: PMC9846209 DOI: 10.3389/fcimb.2022.1075717] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/01/2022] [Indexed: 01/05/2023] Open
Abstract
Trypanosoma cruzi, the causal agent of Chagas disease, has coexisted with humans for thousands of years. Therefore, the parasite has developed several mechanisms of antigenic variability that has allowed it to live inside the cells and evade the host immune response. Since T. cruzi displays an intracellular cycle-stage, our research team focused on providing insights into the CD8+ T cells immune response in chronic Chagas cardiomyopathy. We began our work in the 2000s studying parasite antigens that induce natural immune responses such as the KMP11 protein and TcTLE, its N-terminal derived peptide. Different approaches allowed us to reveal TcTLE peptide as a promiscuous CD8+ T cell epitope, able of inducing multifunctional cellular immune responses and eliciting a humoral response capable of decreasing parasite movement and infective capacity. Next, we demonstrated that as the disease progresses, total CD8+ T cells display a dysfunctional state characterized by a prolonged hyper-activation state along with an increase of inhibitory receptors (2B4, CD160, PD-1, TIM-3, CTLA-4) expression, an increase of specific terminal effector T cells (TTE), a decrease of proliferative capacity, a decrease of stem cell memory (TSCM) frequency, and a decrease of CD28 and CD3ζ expression. Thus, parasite-specific CD8+ T cells undergo clonal exhaustion, distinguished by an increase in late-differentiated cells, a mono-functional response, and enhanced expression of inhibitory receptors. Finally, it was found that anti-parasitic treatment induces an improved CD8+ T cell response in asymptomatic individuals, and a mouse animal model led us to establish a correlation between the quality of the CD8+ T cell responses and the outcome of chronic infection. In the future, using OMICs strategies, the identification of the specific cellular signals involved in disease progression will provide an invaluable resource for discovering new biomarkers of progression or new vaccine and immunotherapy strategies. Also, the inclusion of the TcTLE peptide in the rational design of epitope-based vaccines, the development of immunotherapy strategies using TSCM or the blocking of inhibitory receptors, and the use of the CD8+ T cell response quality to follow treatments, immunotherapies or vaccines, all are alternatives than could be explored in the fight against Chagas disease.
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Affiliation(s)
- Concepción J Puerta
- Laboratory of Molecular Parasitology, Infectious Diseases Group, Department of Microbiology, School of Sciences, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Adriana Cuellar
- Clinical Laboratory Sciences Group, Department of Microbiology, School of Sciences, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Paola Lasso
- Laboratory of Molecular Parasitology, Infectious Diseases Group, Department of Microbiology, School of Sciences, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Jose Mateus
- Laboratory of Molecular Parasitology, Infectious Diseases Group, Department of Microbiology, School of Sciences, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - John M Gonzalez
- Group of Biomedical Sciences, School of Medicine, Universidad de Los Andes, Bogotá, Colombia
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Ghadaksaz A, Imani Fooladi AA, Mahmoodzadeh Hosseini H, Nejad Satari T, Amin M. Targeting the EGFR in cancer cells by fusion protein consisting of arazyme and third loop of TGF-alpha: an in silico study. J Biomol Struct Dyn 2022; 40:11744-11757. [PMID: 34379041 DOI: 10.1080/07391102.2021.1963318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The anticancer effects of arazyme, a bacterial metalloprotease, have been revealed in previous studies. Because of the overexpression of epidermal growth factor receptor (EGFR) in tumor cells, targeting this receptor is one of the approaches to cancer therapy. In the present study, we designed fusion protein by using a non-mitogenic binding sequence of TGFα, arazyme, and a suitable linker. The I-TASSER and Robetta web servers were employed to predict the territory structures of the Arazyme-linker-TGFαL3, and TGFαL3-linker-Arazyme. Then, models were validated by using PROCHECK, ERRAT, ProSA, and MolProbity web servers. After docking to EGFR, Arazyme-linker-TGFαL3 showed a higher binding affinity and was selected to be optimized through 100 ns Molecular dynamic (MD) simulation. Next, the stability of ligand-bound receptor was examined utilizing MD simulation for 100 ns. Furthermore, the binding free energy calculation and free energy decomposition were carried out employing MM-PBSA and MM-GBSA methods, respectively. The root mean square deviation and fluctuation (RMSD, RMSF), the radius of gyration, H-bond, and binding free energy analysis revealed the stability of the complex during simulation time. Finally, linear and conformational epitopes of B cells, as well as MHC class I and MHC class II were predicted by using different web servers. Meanwhile, the potential B cell and T cell epitopes were identified throughout arazyme protein sequence. Collectively, this study suggests a novel chimera protein candidate prevent cancer cells potentially by inducing an immune response and inhibiting cell proliferation. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abdolamir Ghadaksaz
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Abbas Ali Imani Fooladi
- Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hamideh Mahmoodzadeh Hosseini
- Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Taher Nejad Satari
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mohsen Amin
- Department of Drug and Food Control, Faculty of Pharmacy, and The Institute of Pharmaceutical Sciences, Tehran University of Medical Sciences, Tehran, Iran
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Arman I, Haus-Cohen M, Reiter Y. The Intracellular Proteome as a Source for Novel Targets in CAR-T and T-Cell Engagers-Based Immunotherapy. Cells 2022; 12:cells12010027. [PMID: 36611821 PMCID: PMC9818436 DOI: 10.3390/cells12010027] [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: 11/09/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
The impressive clinical success of cancer immunotherapy has motivated the continued search for new targets that may serve to guide potent effector functions in an attempt to efficiently kill malignant cells. The intracellular proteome is an interesting source for such new targets, such as neo-antigens and others, with growing interest in their application for cell-based immunotherapies. These intracellular-derived targets are peptides presented by MHC class I molecules on the cell surface of malignant cells. These disease-specific class I HLA-peptide complexes can be targeted by specific TCRs or by antibodies that mimic TCR-specificity, termed TCR-like (TCRL) antibodies. Adoptive cell transfer of TCR engineered T cells and T-cell-receptor-like based CAR-T cells, targeted against a peptide-MHC of interest, are currently tested as cancer therapeutic agents in pre-clinical and clinical trials, along with soluble TCR- and TCRL-based agents, such as immunotoxins and bi-specific T cell engagers. Targeting the intracellular proteome using TCRL- and TCR-based molecules shows promising results in cancer immunotherapy, as exemplified by the success of the anti-gp100/HLA-A2 TCR-based T cell engager, recently approved by the FDA for the treatment of unresectable or metastatic uveal melanoma. This review is focused on the selection and isolation processes of TCR- and TCRL-based targeting moieties, with a spotlight on pre-clinical and clinical studies, examining peptide-MHC targeting agents in cancer immunotherapy.
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Wang J, Weiss T, Neidert MC, Toussaint NC, Naghavian R, Sellés Moreno C, Foege M, Tomas Ojer P, Medici G, Jelcic I, Schulz D, Rushing E, Dettwiler S, Schrörs B, Shin JH, McKay R, Wu CJ, Lutterotti A, Sospedra M, Moch H, Greiner EF, Bodenmiller B, Regli L, Weller M, Roth P, Martin R. Vaccination with Designed Neopeptides Induces Intratumoral, Cross-reactive CD4+ T-cell Responses in Glioblastoma. Clin Cancer Res 2022; 28:5368-5382. [PMID: 36228153 PMCID: PMC9751771 DOI: 10.1158/1078-0432.ccr-22-1741] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/12/2022] [Accepted: 10/11/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE The low mutational load of some cancers is considered one reason for the difficulty to develop effective tumor vaccines. To overcome this problem, we developed a strategy to design neopeptides through single amino acid mutations to enhance their immunogenicity. EXPERIMENTAL DESIGN Exome and RNA sequencing as well as in silico HLA-binding predictions to autologous HLA molecules were used to identify candidate neopeptides. Subsequently, in silico HLA-anchor placements were used to deduce putative T-cell receptor (TCR) contacts of peptides. Single amino acids of TCR contacting residues were then mutated by amino acid replacements. Overall, 175 peptides were synthesized and sets of 25 each containing both peptides designed to bind to HLA class I and II molecules applied in the vaccination. Upon development of a tumor recurrence, the tumor-infiltrating lymphocytes (TIL) were characterized in detail both at the bulk and clonal level. RESULTS The immune response of peripheral blood T cells to vaccine peptides, including natural peptides and designed neopeptides, gradually increased with repetitive vaccination, but remained low. In contrast, at the time of tumor recurrence, CD8+ TILs and CD4+ TILs responded to 45% and 100%, respectively, of the vaccine peptides. Furthermore, TIL-derived CD4+ T-cell clones showed strong responses and tumor cell lysis not only against the designed neopeptide but also against the unmutated natural peptides of the tumor. CONCLUSIONS Turning tumor self-peptides into foreign antigens by introduction of designed mutations is a promising strategy to induce strong intratumoral CD4+ T-cell responses in a cold tumor like glioblastoma.
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Affiliation(s)
- Jian Wang
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, P.R. China
| | - Tobias Weiss
- Laboratory of Molecular Neuro-Oncology, Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marian C. Neidert
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Nora C. Toussaint
- NEXUS Personalized Health Technologies, ETH Zurich, Schlieren, Switzerland.,Swiss Institute of Bioinformatics, Zurich, Switzerland
| | - Reza Naghavian
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Carla Sellés Moreno
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Magdalena Foege
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Paula Tomas Ojer
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Gioele Medici
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ivan Jelcic
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Daniel Schulz
- Department of Quantitative Biomedicine, University of Zürich, Zurich, Switzerland.,Institute of Molecular Life Sciences, University of Zürich, Zurich, Switzerland
| | - Elisabeth Rushing
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Susanne Dettwiler
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Barbara Schrörs
- TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg-University gGmbH, Mainz, Germany
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ron McKay
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Catherine J. Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Mireia Sospedra
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Holger Moch
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | | | - Bernd Bodenmiller
- Department of Quantitative Biomedicine, University of Zürich, Zurich, Switzerland.,Institute of Molecular Life Sciences, University of Zürich, Zurich, Switzerland
| | - Luca Regli
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Laboratory of Molecular Neuro-Oncology, Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Patrick Roth
- Laboratory of Molecular Neuro-Oncology, Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Roland Martin
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Corresponding Author: Roland Martin, Institute for Experimental Immunology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. Phone: 41-44-2551125; E-mail:
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64
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Shah S, Al-Omari A, Cook KW, Paston SJ, Durrant LG, Brentville VA. What do cancer-specific T cells 'see'? DISCOVERY IMMUNOLOGY 2022; 2:kyac011. [PMID: 38567060 PMCID: PMC10917189 DOI: 10.1093/discim/kyac011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/18/2022] [Accepted: 12/02/2022] [Indexed: 04/04/2024]
Abstract
Complex cellular interactions between the immune system and cancer can impact tumour development, growth, and progression. T cells play a key role in these interactions; however, the challenge for T cells is to recognize tumour antigens whilst minimizing cross-reactivity with antigens associated with healthy tissue. Some tumour cells, including those associated with viral infections, have clear, tumour-specific antigens that can be targeted by T cells. A high mutational burden can lead to increased numbers of mutational neoantigens that allow very specific immune responses to be generated but also allow escape variants to develop. Other cancer indications and those with low mutational burden are less easily distinguished from normal tissue. Recent studies have suggested that cancer-associated alterations in tumour cell biology including changes in post-translational modification (PTM) patterns may also lead to novel antigens that can be directly recognized by T cells. The PTM-derived antigens provide tumour-specific T-cell responses that both escape central tolerance and avoid the necessity for individualized therapies. PTM-specific CD4 T-cell responses have shown tumour therapy in murine models and highlight the importance of CD4 T cells as well as CD8 T cells in reversing the immunosuppressive tumour microenvironment. Understanding which cancer-specific antigens can be recognized by T cells and the way that immune tolerance and the tumour microenvironment shape immune responses to cancer is vital for the future development of cancer therapies.
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Affiliation(s)
- Sabaria Shah
- Scancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
| | - Abdullah Al-Omari
- Scancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
| | - Katherine W Cook
- Scancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
| | - Samantha J Paston
- Scancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
| | - Lindy G Durrant
- Scancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
- Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
| | - Victoria A Brentville
- Scancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham, UK
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Parn S, Savsani K, Dakshanamurthy S. SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein. IMMUNOINFORMATICS 2022; 8:100020. [PMID: 36337685 PMCID: PMC9624113 DOI: 10.1016/j.immuno.2022.100020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The Omicron (BA.1/B.1.1.529) variant of SARS-CoV-2 harbors an alarming 37 mutations on its spike protein, reducing the efficacy of current COVID-19 vaccines. In this study, we identified CD8+ and CD4+ T cell epitopes from SARS-CoV-2 S protein mutants. To identify the highest quality CD8 and CD4 epitopes from the Omicron variant, we selected epitopes with a high binding affinity towards both MHC I and MHC II molecules. We applied other clinical checkpoint predictors, including immunogenicity, antigenicity, allergenicity, instability and toxicity. Subsequently, we found eight Omicron (BA.1/B.1.1.529) specific CD8+ and eleven CD4+ T cell epitopes with a world population coverage of 76.16% and 97.46%, respectively. Additionally, we identified common epitopes across Omicron BA.1 and BA.2 lineages that target mutations critical to SARS-CoV-2 virulence. Further, we identified common epitopes across B.1.1.529 and other circulating SARS-CoV-2 variants, such as B.1.617.2 (Delta). We predicted CD8 epitopes’ binding affinity to murine MHC alleles to test the vaccine candidates in preclinical models. The CD8 epitopes were further validated using our previously developed software tool PCOptim. We then modeled the three-dimensional structures of our top CD8 epitopes to investigate the binding interaction between peptide-MHC and peptide-MHC-TCR complexes. Notably, our identified epitopes are targeting the mutations on the RNA-binding domain and the fusion sites of S protein. This could potentially eliminate viral infections and form long-term immune responses compared to relatively short-lived mRNA vaccines and maximize the efficacy of vaccine candidates against the current pandemic and potential future variants.
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Ehlers M, Schmidt M, Mattes-Gyorgy K, Antke C, Enczmann J, Schlensog M, Japp A, Haase M, Allelein S, Dringenberg T, Giesel F, Esposito I, Schott M. BRAFV600E and BRAF-WT Specific Antitumor Immunity in Papillary Thyroid Cancer. Horm Metab Res 2022; 54:852-858. [PMID: 36427494 DOI: 10.1055/a-1971-7019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
One feature of papillary thyroid cancer (PTC) is the frequently present somatic BRAFV600E mutation. PTCs are also characterized by a lymphocytic infiltration, which may correlate with an improved clinical outcome. The objective of the study was the characterization of BRAFV600E specific anti-immunity in PTC patients and correlation analyses with the clinical outcome. Fourteen HLA A2 positive PTC patients were included into the study of whom tumor tissue samples were also available. Of those, 8 PTC patients revealed a somatic BRAFV600E mutation. All PTC patients were also MHC class II typed. Tetramer analyses for detection of MHC class I and MHC class II-restricted, BRAFV600E epitope-specific T cells using unstimulated and peptide-stimulated T cells were performed; correlation analyses between MHC phenotypes, T cell immunity, and the clinical course were performed. In regard to unstimulated T cells, a significantly higher amount of BRAFV600E epitope specific T cells was detected compared to a control tetramer. Importantly, after overnight peptide stimulation a significantly higher number of BRAFV600E positive and BRAF WT epitope-specific T cells could be seen. In regard to the clinical course, however, no significant differences were seen, neither in the context of the initial tumor size, nor in the context of lymph node metastases or peripheral metastastic spread. In conclusion, we clearly demonstrated a BRAF-specific tumor immunity in PTC-patients which is, however, independent of a BRAFV600E status of the PTC patients.
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Affiliation(s)
- Margret Ehlers
- Division for Specific Endocrinology, Medical Faculty, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Mathias Schmidt
- Division for Specific Endocrinology, Medical Faculty, University Hospital Duesseldorf, Duesseldorf, Germany
| | | | - Christina Antke
- Clinic for Nuclear Medicine, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Juergen Enczmann
- Institute for Transplantation Diagnostics and Cell Therapeutics, Heinrich Heine University, Duesseldorf, Germany
| | - Martin Schlensog
- Institute of Pathology, Heinrich Heine University, Duesseldorf, Germany
| | - Anna Japp
- Institute of Pathology, Heinrich Heine University, Duesseldorf, Germany
| | - Matthias Haase
- Division for Specific Endocrinology, Medical Faculty, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Stephanie Allelein
- Division for Specific Endocrinology, Medical Faculty, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Till Dringenberg
- Division for Specific Endocrinology, Medical Faculty, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Frederik Giesel
- Clinic for Nuclear Medicine, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Irene Esposito
- Institute of Pathology, Heinrich Heine University, Duesseldorf, Germany
| | - Matthias Schott
- Division for Specific Endocrinology, Medical Faculty, University Hospital Duesseldorf, Duesseldorf, Germany
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Zhou W, Yu J, Li Y, Wang K. Neoantigen-specific TCR-T cell-based immunotherapy for acute myeloid leukemia. Exp Hematol Oncol 2022; 11:100. [PMID: 36384590 PMCID: PMC9667632 DOI: 10.1186/s40164-022-00353-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 10/26/2022] [Indexed: 11/17/2022] Open
Abstract
Neoantigens derived from non-synonymous somatic mutations are restricted to malignant cells and are thus considered ideal targets for T cell receptor (TCR)-based immunotherapy. Adoptive transfer of T cells bearing neoantigen-specific TCRs exhibits the ability to preferentially target tumor cells while remaining harmless to normal cells. High-avidity TCRs specific for neoantigens expressed on AML cells have been identified in vitro and verified using xenograft mouse models. Preclinical studies of these neoantigen-specific TCR-T cells are underway and offer great promise as safe and effective therapies. Additionally, TCR-based immunotherapies targeting tumor-associated antigens are used in early-phase clinical trials for the treatment of AML and show encouraging anti-leukemic effects. These clinical experiences support the application of TCR-T cells that are specifically designed to recognize neoantigens. In this review, we will provide a detailed profile of verified neoantigens in AML, describe the strategies to identify neoantigen-specific TCRs, and discuss the potential of neoantigen-specific T-cell-based immunotherapy in AML.
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68
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Bi J, Zheng Y, Wang C, Ding Y. An Attention Based Bidirectional LSTM Method to Predict the Binding of TCR and Epitope. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:3272-3280. [PMID: 34559661 DOI: 10.1109/tcbb.2021.3115353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The T-cell epitope prediction has always been a long-term challenge in immunoinformatics and bioinformatics. Studying the specific recognition between T-cell receptor (TCR) and peptide-major histocompatibility complex (p-MHC) complexes can help us better understand the immune mechanism, it's also make a signification contribution in developing vaccines and targeted drugs. Meanwhile, more advanced methods are needed for distinguishing TCRs binding from different epitopes. In this paper, we introduce a hybrid model composed of bidirectional long short-term memory networks (BiLSTM), attention and convolutional neural networks (CNN) that can identified the binding of TCRs to epitopes. The BiLSTM can more completely extract amino acid forward and backward information in the sequence, and attention mechanism can focus on amino acids at certain positions from complex sequences to capture the most important feature, then CNN was used to further extract salient features to predict the binding of TCR-epitope. In McPAS dataset, the AUC value (the area under ROC curve) of naive TCR-epitope binding is 0.974 and specific TCR-epitope binding is 0.887. The model has achieved better prediction results than other existing models (TCRGP, ERGO, NetTCR), and some experiments are used to analyze the advantages of our model. The algorithm is available at https://github.com/bijingshu/BiAttCNN.git.
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69
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Antigenic mimicry – The key to autoimmunity in immune privileged organs. J Autoimmun 2022:102942. [DOI: 10.1016/j.jaut.2022.102942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022]
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70
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Lajevardi MS, Taheri T, Gholami E, Seyed N, Rafati S. Structural analysis of PpSP15 and PsSP9 sand fly salivary proteins designed with a self-cleavable linker as a live vaccine candidate against cutaneous leishmaniasis. Parasit Vectors 2022; 15:377. [PMID: 36261836 PMCID: PMC9580450 DOI: 10.1186/s13071-022-05437-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background Leishmania parasites are deposited in the host through sand fly bites along with sand fly saliva. Therefore, salivary proteins are promising vaccine candidates for controlling leishmaniasis. Herein, two immunogenic salivary proteins, PpSP15 from Phlebotomus papatasi and PsSP9 from Phlebotomus sergenti, were selected as vaccine candidates to be delivered by live Leishmania tarentolae as vector. The stepwise in silico protocol advantaged in this study for multi-protein design in L. tarentolae is then described in detail. Methods All possible combinations of two salivary proteins, PpSP15 and PsSP9, with or without T2A peptide were designed at the mRNA and protein levels. Then, the best combination for the vaccine candidate was selected based on mRNA and protein stability along with peptide analysis. Results At the mRNA level, the most favored secondary structure was PpSP15-T2A-PsSP9. At the protein level, the refined three-dimensional models of all combinations were structurally valid; however, local quality estimation showed that the PpSp15-T2A-PsSP9 fusion had higher stability for each amino acid position, with low root-mean-square deviation (RMSD), compared with the original proteins. In silico evaluation confirmed the PpSP15-T2A-PsSP9 combination as a good Th1-polarizing candidate in terms of high IFN-γ production and low IL-10/TGF-β ratio in response to three consecutive immunizations. Potential protein expression was then confirmed by Western blotting. Conclusions The approach presented herein is among the first studies to have privileged protein homology modeling along with mRNA analysis for logical live vaccine design-coding multi-proteins. ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-022-05437-x.
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Affiliation(s)
- Mahya Sadat Lajevardi
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran.,Department of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Tahereh Taheri
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran
| | - Elham Gholami
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran
| | - Negar Seyed
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran.
| | - Sima Rafati
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran.
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71
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Tiwari A, Trivedi R, Lin SY. Tumor microenvironment: barrier or opportunity towards effective cancer therapy. J Biomed Sci 2022; 29:83. [PMID: 36253762 PMCID: PMC9575280 DOI: 10.1186/s12929-022-00866-3] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 10/01/2022] [Indexed: 12/24/2022] Open
Abstract
Tumor microenvironment (TME) is a specialized ecosystem of host components, designed by tumor cells for successful development and metastasis of tumor. With the advent of 3D culture and advanced bioinformatic methodologies, it is now possible to study TME’s individual components and their interplay at higher resolution. Deeper understanding of the immune cell’s diversity, stromal constituents, repertoire profiling, neoantigen prediction of TMEs has provided the opportunity to explore the spatial and temporal regulation of immune therapeutic interventions. The variation of TME composition among patients plays an important role in determining responders and non-responders towards cancer immunotherapy. Therefore, there could be a possibility of reprogramming of TME components to overcome the widely prevailing issue of immunotherapeutic resistance. The focus of the present review is to understand the complexity of TME and comprehending future perspective of its components as potential therapeutic targets. The later part of the review describes the sophisticated 3D models emerging as valuable means to study TME components and an extensive account of advanced bioinformatic tools to profile TME components and predict neoantigens. Overall, this review provides a comprehensive account of the current knowledge available to target TME.
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Affiliation(s)
- Aadhya Tiwari
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Rakesh Trivedi
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shiaw-Yih Lin
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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72
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Sarango G, Richetta C, Pereira M, Kumari A, Ghosh M, Bertrand L, Pionneau C, Le Gall M, Grégoire S, Jeger‐Madiot R, Rosoy E, Subra F, Delelis O, Faure M, Esclatine A, Graff‐Dubois S, Stevanović S, Manoury B, Ramirez BC, Moris A. The Autophagy Receptor TAX1BP1 (T6BP) improves antigen presentation by MHC-II molecules. EMBO Rep 2022; 23:e55470. [PMID: 36215666 PMCID: PMC9724678 DOI: 10.15252/embr.202255470] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/16/2022] [Accepted: 09/23/2022] [Indexed: 12/12/2022] Open
Abstract
CD4+ T lymphocytes play a major role in the establishment and maintenance of immunity. They are activated by antigenic peptides derived from extracellular or newly synthesized (endogenous) proteins presented by the MHC-II molecules. The pathways leading to endogenous MHC-II presentation remain poorly characterized. We demonstrate here that the autophagy receptor, T6BP, influences both autophagy-dependent and -independent endogenous presentation of HIV- and HCMV-derived peptides. By studying the immunopeptidome of MHC-II molecules, we show that T6BP affects both the quantity and quality of peptides presented. T6BP silencing induces the mislocalization of the MHC-II-loading compartments and rapid degradation of the invariant chain (CD74) without altering the expression and internalization kinetics of MHC-II molecules. Defining the interactome of T6BP, we identify calnexin as a T6BP partner. We show that the calnexin cytosolic tail is required for this interaction. Remarkably, calnexin silencing replicates the functional consequences of T6BP silencing: decreased CD4+ T cell activation and exacerbated CD74 degradation. Altogether, we unravel T6BP as a key player of the MHC-II-restricted endogenous presentation pathway, and we propose one potential mechanism of action.
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Affiliation(s)
- Gabriela Sarango
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Clémence Richetta
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance,LBPA, ENS‐Paris Saclay, CNRS UMR8113Université Paris SaclayGif‐sur‐YvetteFrance
| | - Mathias Pereira
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Anita Kumari
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Michael Ghosh
- Department of Immunology, Institute for Cell BiologyUniversity of TübingenTübingenGermany
| | - Lisa Bertrand
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Cédric Pionneau
- Sorbonne UniversitéINSERM, UMS Production et Analyse de Données en Sciences de la vie et en Santé, PASS, Plateforme Post‐génomique de la Pitié SalpêtrièreParisFrance
| | - Morgane Le Gall
- 3P5 proteom'IC facilityUniversité de Paris, Institut Cochin, INSERM U1016, CNRS‐UMR 8104ParisFrance
| | - Sylvie Grégoire
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Raphaël Jeger‐Madiot
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance,Present address:
Sorbonne Université, INSERM U959, Immunology‐Immunopathology‐Immunotherapy (i3)ParisFrance
| | - Elina Rosoy
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Frédéric Subra
- LBPA, ENS‐Paris Saclay, CNRS UMR8113Université Paris SaclayGif‐sur‐YvetteFrance
| | - Olivier Delelis
- LBPA, ENS‐Paris Saclay, CNRS UMR8113Université Paris SaclayGif‐sur‐YvetteFrance
| | - Mathias Faure
- CIRI, Centre International de Recherche en Infectiologie, Université de Lyon, Inserm U1111Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de LyonLyonFrance,Equipe Labellisée par la Fondation pour la Recherche Médicale, FRM
| | - Audrey Esclatine
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance
| | - Stéphanie Graff‐Dubois
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance,Present address:
Sorbonne Université, INSERM U959, Immunology‐Immunopathology‐Immunotherapy (i3)ParisFrance
| | - Stefan Stevanović
- Department of Immunology, Institute for Cell BiologyUniversity of TübingenTübingenGermany
| | - Bénédicte Manoury
- Institut Necker Enfants Malades, INSERM U1151‐CNRS UMR 8253, Faculté de médecine NeckerUniversité de ParisParisFrance
| | - Bertha Cecilia Ramirez
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Arnaud Moris
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
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Palatnik-de-Sousa I, Wallace ZS, Cavalcante SC, Ribeiro MPF, Silva JABM, Cavalcante RC, Scheuermann RH, Palatnik-de-Sousa CB. A novel vaccine based on SARS-CoV-2 CD4 + and CD8 + T cell conserved epitopes from variants Alpha to Omicron. Sci Rep 2022; 12:16731. [PMID: 36202985 PMCID: PMC9537284 DOI: 10.1038/s41598-022-21207-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 09/23/2022] [Indexed: 12/03/2022] Open
Abstract
COVID-19 caused, as of September, 1rst, 2022, 599,825,400 confirmed cases, including 6,469,458 deaths. Currently used vaccines reduced severity and mortality but not virus transmission or reinfection by different strains. They are based on the Spike protein of the Wuhan reference virus, which although highly antigenic suffered many mutations in SARS-CoV-2 variants, escaping vaccine-generated immune responses. Multiepitope vaccines based on 100% conserved epitopes of multiple proteins of all SARS-CoV-2 variants, rather than a single highly mutating antigen, could offer more long-lasting protection. In this study, a multiepitope multivariant vaccine was designed using immunoinformatics and in silico approaches. It is composed of highly promiscuous and strong HLA binding CD4+ and CD8+ T cell epitopes of the S, M, N, E, ORF1ab, ORF 6 and ORF8 proteins. Based on the analysis of one genome per WHO clade, the epitopes were 100% conserved among the Wuhan-Hu1, Alpha, Beta, Gamma, Delta, Omicron, Mµ, Zeta, Lambda and R1 variants. An extended epitope-conservancy analysis performed using GISAID metadata of 3,630,666 SARS-CoV-2 genomes of these variants and the additional genomes of the Epsilon, Lota, Theta, Eta, Kappa and GH490 R clades, confirmed the high conservancy of the epitopes. All but one of the CD4 peptides showed a level of conservation greater than 97% among all genomes. All but one of the CD8 epitopes showed a level of conservation greater than 96% among all genomes, with the vast majority greater than 99%. A multiepitope and multivariant recombinant vaccine was designed and it was stable, mildly hydrophobic and non-toxic. The vaccine has good molecular docking with TLR4 and promoted, without adjuvant, strong B and Th1 memory immune responses and secretion of high levels of IL-2, IFN-γ, lower levels of IL-12, TGF-β and IL-10, and no IL-6. Experimental in vivo studies should validate the vaccine’s further use as preventive tool with cross-protective properties.
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Affiliation(s)
- Iam Palatnik-de-Sousa
- Department of Electrical Engeneering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Zachary S Wallace
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California, San Diego, CA, USA
| | - Stephany Christiny Cavalcante
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Maria Paula Fonseca Ribeiro
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - João Antônio Barbosa Martins Silva
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rafael Ciro Cavalcante
- Department of Pharmacy, Campus Professor Antônio Garcia Filho, Federal University of Sergipe, Lagarto, Sergipe, Brazil
| | - Richard H Scheuermann
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, USA.,Department of Pathology, University of California, San Diego, CA, USA.,Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.,Global Virus Network, Baltimore, MD, USA
| | - Clarisa Beatriz Palatnik-de-Sousa
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. .,Institute for Immunological Investigation (III), INCT, National Council for Scientific and Technological Development (CNPq), São Paulo, Brazil.
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74
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Weis-Banke SE, Lisle TL, Perez-Penco M, Schina A, Hübbe ML, Siersbæk M, Holmström MO, Jørgensen MA, Marie Svane I, Met Ö, Ødum N, Madsen DH, Donia M, Grøntved L, Andersen MH. Arginase-2-specific cytotoxic T cells specifically recognize functional regulatory T cells. J Immunother Cancer 2022; 10:jitc-2022-005326. [PMID: 36316062 PMCID: PMC9628693 DOI: 10.1136/jitc-2022-005326] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2022] [Indexed: 11/05/2022] Open
Abstract
Background High expression of the metabolic enzyme arginase-2 (ARG2) by cancer cells, regulatory immune cells, or cells of the tumor stroma can reduce the availability of arginine (L-Arg) in the tumor microenvironment (TME). Depletion of L-Arg has detrimental consequences for T cells and leads to T-cell dysfunction and suppression of anticancer immune responses. Previous work from our group has demonstrated the presence of proinflammatory ARG2-specific CD4 T cells that inhibited tumor growth in murine models on activation with ARG2-derived peptides. In this study, we investigated the natural occurrence of ARG2-specific CD8 T cells in both healthy donors (HDs) and patients with cancer, along with their immunomodulatory capabilities in the context of the TME. Materials and methods A library of 15 major histocompatibility complex (MHC) class I-restricted ARG2-derived peptides were screened in HD peripheral blood mononuclear cells using interferon gamma (IFN-γ) ELISPOT. ARG2-specific CD8 T-cell responses were identified using intracellular cytokine staining and ARG2-specific CD8 T-cell cultures were established by enrichment and rapid expansion following in vitro peptide stimulation. The reactivity of the cultures toward ARG2-expressing cells, including cancer cell lines and activated regulatory T cells (Tregs), was assessed using IFN-γ ELISPOT and a chromium release assay. The Treg signature was validated based on proliferation suppression assays, flow cytometry and quantitative reverse transcription PCR (RT-qPCR). In addition, vaccinations with ARG2-derived epitopes were performed in the murine Pan02 tumor model, and induction of ARG2-specific T-cell responses was evaluated with IFN-γ ELISPOT. RNAseq and subsequent GO-term and ImmuCC analysis was performed on the tumor tissue. Results We describe the existence of ARG2-specific CD8+ T cells and demonstrate these CD8+ T-cell responses in both HDs and patients with cancer. ARG2-specific T cells recognize and react to an ARG2-derived peptide presented in the context of HLA-B8 and exert their cytotoxic function against cancer cells with endogenous ARG2 expression. We demonstrate that ARG2-specific T cells can specifically recognize and react to activated Tregs with high ARG2 expression. Finally, we observe tumor growth suppression and antitumorigenic immunomodulation following ARG2 vaccination in an in vivo setting. Conclusion These findings highlight the ability of ARG2-specific T cells to modulate the immunosuppressive TME and suggest that ARG2-based immunomodulatory vaccines may be an interesting option for cancer immunotherapy.
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Affiliation(s)
- Stine Emilie Weis-Banke
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Thomas Landkildehus Lisle
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Maria Perez-Penco
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Aimilia Schina
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Mie Linder Hübbe
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Majken Siersbæk
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Morten Orebo Holmström
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark.,Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Mia Aaboe Jørgensen
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Inge Marie Svane
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Özcan Met
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Niels Ødum
- Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Hargbøl Madsen
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Marco Donia
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark
| | - Lars Grøntved
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Mads Hald Andersen
- Department of Oncology, Herlev Hospital, National Center for Cancer Immune Therapy (CCIT-DK), Herlev, Denmark .,Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
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75
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Karim M, Singh G, Thakur S, Rana A, Rub A, Akhter Y. Evaluating complete surface-associated and secretory proteome of Leishmania donovani for discovering novel vaccines and diagnostic targets. Arch Microbiol 2022; 204:604. [PMID: 36069945 DOI: 10.1007/s00203-022-03219-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/28/2022]
Abstract
The protozoa Leishmania donovani causes visceral leishmaniasis (kala-azar), the third most common vector-borne disease. The visceral organs, particularly the spleen, liver, and bone marrow, are affected by the disease. The lack of effective treatment regimens makes curing and eradicating the disease difficult. The availability of complete L. donovani genome/proteome data allows for the development of specific and efficient vaccine candidates using the reverse vaccinology method, while utilizing the unique sequential and structural features of potential antigenic proteins to induce protective T cell and B cell responses. Such shortlisted candidates may then be tested quickly for their efficacy in the laboratory and later in clinical settings. These antigens will also be useful for designing antigen-based next-generation sero-diagnostic assays. L. donovani's cell surface-associated proteins and secretory proteins are among the first interacting entities to be exposed to the host immune machinery. As a result, potential antigenic epitope peptides derived from these proteins could serve as competent vaccine components. We used a stepwise filtering-based in silico approach to identify the entire surface-associated and secretory proteome of L. donovani, which may provide rationally selected most exposed antigenic proteins. Our study identified 12 glycosylphosphatidylinositol-anchored proteins, 45 transmembrane helix-containing proteins, and 73 secretory proteins as potent antigens unique to L. donovani. In addition, we used immunoinformatics to identify B and T cell epitopes in them. Out of the shortlisted surface-associated and secretory proteome, 66 protein targets were found to have the most potential overlapping B cell and T cell epitopes (linear and conformational; MHC class I and MHC class II).
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Affiliation(s)
- Munawwar Karim
- School of Life Sciences, Central University of Himachal Pradesh, District-Kangra, Shahpur, Himachal Pradesh, 176206, India
| | - Garima Singh
- Department of Biotechnology, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow, 226025, India
| | - Shweta Thakur
- School of Life Sciences, Central University of Himachal Pradesh, District-Kangra, Shahpur, Himachal Pradesh, 176206, India
| | - Aarti Rana
- School of Life Sciences, Central University of Himachal Pradesh, District-Kangra, Shahpur, Himachal Pradesh, 176206, India
| | - Abdur Rub
- Infection and Immunity Lab, Department of Biotechnology, Jamia Millia Islamia (A Central University), New Delhi, 110025, India
| | - Yusuf Akhter
- Department of Biotechnology, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow, 226025, India.
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Pissarra J, Dorkeld F, Loire E, Bonhomme V, Sereno D, Lemesre JL, Holzmuller P. SILVI, an open-source pipeline for T-cell epitope selection. PLoS One 2022; 17:e0273494. [PMID: 36070252 PMCID: PMC9451077 DOI: 10.1371/journal.pone.0273494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 08/09/2022] [Indexed: 11/18/2022] Open
Abstract
High-throughput screening of available genomic data and identification of potential antigenic candidates have promoted the development of epitope-based vaccines and therapeutics. Several immunoinformatic tools are available to predict potential epitopes and other immunogenicity-related features, yet it is still challenging and time-consuming to compare and integrate results from different algorithms. We developed the R script SILVI (short for: from in silico to in vivo), to assist in the selection of the potentially most immunogenic T-cell epitopes from Human Leukocyte Antigen (HLA)-binding prediction data. SILVI merges and compares data from available HLA-binding prediction servers, and integrates additional relevant information of predicted epitopes, namely BLASTp alignments with host proteins and physical-chemical properties. The two default criteria applied by SILVI and additional filtering allow the fast selection of the most conserved, promiscuous, strong binding T-cell epitopes. Users may adapt the script at their discretion as it is written in open-source R language. To demonstrate the workflow and present selection options, SILVI was used to integrate HLA-binding prediction results of three example proteins, from viral, bacterial and parasitic microorganisms, containing validated epitopes included in the Immune Epitope Database (IEDB), plus the Human Papillomavirus (HPV) proteome. Applying different filters on predicted IC50, hydrophobicity and mismatches with host proteins allows to significantly reduce the epitope lists with favourable sensitivity and specificity to select immunogenic epitopes. We contemplate SILVI will assist T-cell epitope selections and can be continuously refined in a community-driven manner, helping the improvement and design of peptide-based vaccines or immunotherapies. SILVI development version is available at: github.com/JoanaPissarra/SILVI2020 and https://doi.org/10.5281/zenodo.6865909.
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Affiliation(s)
- Joana Pissarra
- UMR INTERTRYP, IRD, CIRAD, University of Montpellier (I-MUSE), Montpellier, France
- * E-mail:
| | - Franck Dorkeld
- UMR CBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, University of Montpellier (I-MUSE), Montpellier, France
| | - Etienne Loire
- UMR ASTRE, CIRAD, INRAE, University of Montpellier (I-MUSE), Montpellier, France
| | - Vincent Bonhomme
- ISEM, CNRS, EPHE, IRD, University of Montpellier (I-MUSE), Montpellier, France
| | - Denis Sereno
- UMR INTERTRYP, IRD, CIRAD, University of Montpellier (I-MUSE), Montpellier, France
| | - Jean-Loup Lemesre
- UMR INTERTRYP, IRD, CIRAD, University of Montpellier (I-MUSE), Montpellier, France
| | - Philippe Holzmuller
- UMR ASTRE, CIRAD, INRAE, University of Montpellier (I-MUSE), Montpellier, France
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77
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Minegishi Y, Kiyotani K, Nemoto K, Inoue Y, Haga Y, Fujii R, Saichi N, Nagayama S, Ueda K. Differential ion mobility mass spectrometry in immunopeptidomics identifies neoantigens carrying colorectal cancer driver mutations. Commun Biol 2022; 5:831. [PMID: 35982173 PMCID: PMC9388627 DOI: 10.1038/s42003-022-03807-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 08/05/2022] [Indexed: 11/09/2022] Open
Abstract
Understanding the properties of human leukocyte antigen (HLA) peptides (immunopeptides) is essential for precision cancer medicine, while the direct identification of immunopeptides from small biopsies of clinical tissues by mass spectrometry (MS) is still confronted with technical challenges. Here, to overcome these hindrances, high-field asymmetric waveform ion mobility spectrometry (FAIMS) is introduced to conduct differential ion mobility (DIM)-MS by seamless gas-phase fractionation optimal for scarce samples. By established DIM-MS for immunopeptidomics analysis, on average, 42.9 mg of normal and tumor colorectal tissues from identical patients (n = 17) were analyzed, and on average 4921 immunopeptides were identified. Among these 44,815 unique immunopeptides, two neoantigens, KRAS-G12V and CPPED1-R228Q, were identified. These neoantigens were confirmed by synthetic peptides through targeted MS in parallel reaction monitoring (PRM) mode. Comparison of the tissue-based personal immunopeptidome revealed tumor-specific processing of immunopeptides. Since the direct identification of neoantigens from tumor tissues suggested that more potential neoantigens have yet to be identified, we screened cell lines with known oncogenic KRAS mutations and identified 2 more neoantigens that carry KRAS-G12V. These results indicated that the established FAIMS-assisted DIM-MS is effective in the identification of immunopeptides and potential recurrent neoantigens directly from scarce samples such as clinical tissues.
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Affiliation(s)
- Yuriko Minegishi
- Cancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Kazuma Kiyotani
- Project for Immunogenomics, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Kensaku Nemoto
- Project for Immunogenomics, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | | | - Yoshimi Haga
- Cancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Risa Fujii
- Cancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Naomi Saichi
- Cancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Satoshi Nagayama
- Development of Gastroenterological Surgery, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Koji Ueda
- Cancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
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78
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Kumar S, Kumar GS, Maitra SS, Malý P, Bharadwaj S, Sharma P, Dwivedi VD. Viral informatics: bioinformatics-based solution for managing viral infections. Brief Bioinform 2022; 23:6659740. [PMID: 35947964 DOI: 10.1093/bib/bbac326] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/26/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Several new viral infections have emerged in the human population and establishing as global pandemics. With advancements in translation research, the scientific community has developed potential therapeutics to eradicate or control certain viral infections, such as smallpox and polio, responsible for billions of disabilities and deaths in the past. Unfortunately, some viral infections, such as dengue virus (DENV) and human immunodeficiency virus-1 (HIV-1), are still prevailing due to a lack of specific therapeutics, while new pathogenic viral strains or variants are emerging because of high genetic recombination or cross-species transmission. Consequently, to combat the emerging viral infections, bioinformatics-based potential strategies have been developed for viral characterization and developing new effective therapeutics for their eradication or management. This review attempts to provide a single platform for the available wide range of bioinformatics-based approaches, including bioinformatics methods for the identification and management of emerging or evolved viral strains, genome analysis concerning the pathogenicity and epidemiological analysis, computational methods for designing the viral therapeutics, and consolidated information in the form of databases against the known pathogenic viruses. This enriched review of the generally applicable viral informatics approaches aims to provide an overview of available resources capable of carrying out the desired task and may be utilized to expand additional strategies to improve the quality of translation viral informatics research.
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Affiliation(s)
- Sanjay Kumar
- School of Biotechnology, Jawaharlal Nehru University, New Delhi, India.,Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India
| | - Geethu S Kumar
- Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, Uttar Pradesh, India.,Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India
| | | | - Petr Malý
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center, Vestec, Czech Republic
| | - Shiv Bharadwaj
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center, Vestec, Czech Republic
| | - Pradeep Sharma
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Vivek Dhar Dwivedi
- Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India.,Institute of Advanced Materials, IAAM, 59053 Ulrika, Sweden
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79
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Bi SQ, Zhang QM, Zeng X, Liu C, Nong WX, Xie H, Li F, Lin LN, Luo B, Ge YY, Xie XX. Combined treatment with epigenetic agents enhances anti-tumor activity of MAGE-D4 peptide-specific T cells by upregulating the MAGE-D4 expression in glioma. Front Oncol 2022; 12:873639. [PMID: 35992806 PMCID: PMC9382192 DOI: 10.3389/fonc.2022.873639] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe study evaluated the efficacy of combined epigenetic drugs of decitabine (DAC), valproic acid (VPA), and trichostatin A (TSA) on immunotherapy against glioma.MethodsThe expression and prognosis of MAGE-D4 in glioma were analyzed online, and the expression of MAGE-D4 and HLA-A2 in glioma induced by epigenetic drugs was detected by qRT-PCR, Western blot, and flow cytometry. The methylation status of the MAGE-D4 promoter was determined by pyrosequencing. An HLA-A2 restricted MAGE-D4 peptide was predicted and synthesized. An affinity assay and a peptide/HLA complex stability assay were performed to determine the affinity between peptide and HLA. CCK8 assay, CFSE assay, ELISA and ELISPOT were performed to detect the function of MAGE-D4 peptide-specific T cells. Flow cytometry, ELISA, and cytotoxicity assays were used to detect the cytotoxicity effect of MAGE-D4 peptide-specific T cells combined with epigenetic drugs against glioma in vitro. Finally, the glioma-loaded mouse model was applied to test the inhibitory effect of specific T cells on gliomas in vivo.ResultsMAGE-D4 was highly expressed in glioma and correlated with poor prognosis. Glioma cells could be induced to express MAGE-D4 and HLA-A2 by epigenetic drugs. MAGE-D4-associated peptides were found that induce DCs to stimulate the highest T-cell activities of proliferation, IL-2 excretion, and IFN-γ secretion. MAGE-D4 peptide-specific T cells treated with TSA only or combining TSA and DAC had the most cytotoxicity effect, and its cytotoxicity effect on glioma cells decreased significantly after HLA blocking. In vivo experiments also confirmed that MAGE-D4-specific T cells inhibit TSA-treated glioma.ConclusionMAGE-D4 is highly expressed in glioma and correlated with the prognosis of glioma. The novel MAGE-D4 peptide identified was capable of inducing MAGE-D4-specific T cells that can effectively inhibit glioma growth, and the epigenetic drug application can enhance this inhibition.
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Affiliation(s)
- Shui-Qing Bi
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Department of Neurosurgery, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China
| | - Qing-Mei Zhang
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Key laboratory of Preclinical Medicine, Education Department of Guangxi Zhuang Autonomous region, Nanning, China
| | - Xia Zeng
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Chang Liu
- Department of Neurosurgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Wei-Xia Nong
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Huan Xie
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Feng Li
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Li-Na Lin
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Bin Luo
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Key laboratory of Preclinical Medicine, Education Department of Guangxi Zhuang Autonomous region, Nanning, China
| | - Ying-Ying Ge
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
- *Correspondence: Ying-Ying Ge, ; Xiao-Xun Xie,
| | - Xiao-Xun Xie
- Department of Histology and Embryology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Key laboratory of Preclinical Medicine, Education Department of Guangxi Zhuang Autonomous region, Nanning, China
- *Correspondence: Ying-Ying Ge, ; Xiao-Xun Xie,
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80
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van Haren SD, Pedersen GK, Kumar A, Ruckwardt TJ, Moin S, Moore IN, Minai M, Liu M, Pak J, Borriello F, Doss-Gollin S, Beijnen EMS, Ahmed S, Helmel M, Andersen P, Graham BS, Steen H, Christensen D, Levy O. CAF08 adjuvant enables single dose protection against respiratory syncytial virus infection in murine newborns. Nat Commun 2022; 13:4234. [PMID: 35918315 PMCID: PMC9346114 DOI: 10.1038/s41467-022-31709-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 06/30/2022] [Indexed: 11/09/2022] Open
Abstract
Respiratory syncytial virus is a leading cause of morbidity and mortality in children, due in part to their distinct immune system, characterized by impaired induction of Th 1 immunity. Here we show application of cationic adjuvant formulation CAF08, a liposomal vaccine formulation tailored to induce Th 1 immunity in early life via synergistic engagement of Toll-like Receptor 7/8 and the C-type lectin receptor Mincle. We apply quantitative phosphoproteomics to human dendritic cells and reveal a role for Protein Kinase C-δ for enhanced Th1 cytokine production in neonatal dendritic cells and identify signaling events resulting in antigen cross-presentation. In a murine in vivo model a single immunization at birth with CAF08-adjuvanted RSV pre-fusion antigen protects newborn mice from RSV infection by induction of antigen-specific CD8+ T-cells and Th1 cells. Overall, we describe a pediatric adjuvant formulation and characterize its mechanism of action providing a promising avenue for development of early life vaccines against RSV and other respiratory viral pathogens.
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Affiliation(s)
- Simon D van Haren
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
| | - Gabriel K Pedersen
- Center for Vaccine Research, Statens Serum Institut, Copenhagen, Denmark
| | - Azad Kumar
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tracy J Ruckwardt
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Syed Moin
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Ian N Moore
- Infectious Disease Pathogenesis Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Mahnaz Minai
- Infectious Disease Pathogenesis Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Mark Liu
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
| | - Jensen Pak
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
| | - Francesco Borriello
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Department of Translational Medical Sciences and Center for Basic and Clinical Immunology Research (CISI), University of Naples Federico II, Naples, Italy
- Generate Biomedicines, Cambridge, MA, USA
| | - Simon Doss-Gollin
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
| | - Elisabeth M S Beijnen
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
| | - Saima Ahmed
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Michaela Helmel
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Peter Andersen
- Center for Vaccine Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Barney S Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Hanno Steen
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Dennis Christensen
- Center for Vaccine Research, Statens Serum Institut, Copenhagen, Denmark
| | - Ofer Levy
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
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81
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Trevizani R, Yan Z, Greenbaum JA, Sette A, Nielsen M, Peters B. A comprehensive analysis of the IEDB MHC class-I automated benchmark. Brief Bioinform 2022; 23:6632617. [PMID: 35794711 DOI: 10.1093/bib/bbac259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/27/2022] [Accepted: 06/05/2022] [Indexed: 11/12/2022] Open
Abstract
In 2014, the Immune Epitope Database automated benchmark was created to compare the performance of the MHC class I binding predictors. However, this is not a straightforward process due to the different and non-standardized outputs of the methods. Additionally, some methods are more restrictive regarding the HLA alleles and epitope sizes for which they predict binding affinities, while others are more comprehensive. To address how these problems impacted the ranking of the predictors, we developed an approach to assess the reliability of different metrics. We found that using percentile-ranked results improved the stability of the ranks and allowed the predictors to be reliably ranked despite not being evaluated on the same data. We also found that given the rate new data are incorporated into the benchmark, a new method must wait for at least 4 years to be ranked against the pre-existing methods. The best-performing tools with statistically indistinguishable scores in this benchmark were NetMHCcons, NetMHCpan4.0, ANN3.4, NetMHCpan3.0 and NetMHCpan2.8. The results of this study will be used to improve the evaluation and display of benchmark performance. We highly encourage anyone working on MHC binding predictions to participate in this benchmark to get an unbiased evaluation of their predictors.
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Affiliation(s)
- Raphael Trevizani
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA.,Fiocruz Ceará, Fundação Oswaldo Cruz, Rua São José s/n, Precabura, Eusébio/CE, Brazil
| | - Zhen Yan
- Bioinformatics Core, La Jolla Institute for Immunology, La Jolla, California 92037, USA
| | - Jason A Greenbaum
- Bioinformatics Core, La Jolla Institute for Immunology, La Jolla, California 92037, USA
| | - Alessandro Sette
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA.,Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
| | - Morten Nielsen
- Department of Health Technology, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.,Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, B1650 Buenos Aires, Argentina
| | - Bjoern Peters
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA.,Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
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82
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Mitra D, Pandey J, Jain A, Swaroop S. In silico design of multi-epitope-based peptide vaccine against SARS-CoV-2 using its spike protein. J Biomol Struct Dyn 2022; 40:5189-5202. [PMID: 33403946 PMCID: PMC7876912 DOI: 10.1080/07391102.2020.1869092] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 12/21/2020] [Indexed: 12/22/2022]
Abstract
SARS-CoV-2 has been efficient in ensuring that many countries are brought to a standstill. With repercussions ranging from rampant mortality, fear, paranoia, and economic recession, the virus has brought together countries to look at possible therapeutic countermeasures. With prophylactic interventions possibly months away from being particularly effective, a slew of measures and possibilities concerning the design of vaccines are being worked upon. We attempted a structure-based approach utilizing a combination of epitope prediction servers and Molecular dynamic (MD) simulations to develop a multi-epitope-based subunit vaccine that involves the two subunits of the spike glycoprotein of SARS-CoV-2 (S1 and S2) coupled with a substantially effective chimeric adjuvant to create stable vaccine constructs. The designed constructs were evaluated based on their docking with Toll-Like Receptor (TLR) 4. Our findings provide an epitope-based peptide fragment that can be a potential candidate for the development of a vaccine against SARS-CoV-2. Recent experimental studies based on determining immunodominant regions across the spike glycoprotein of SARS-CoV-2 indicate the presence of the predicted epitopes included in this study.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Debarghya Mitra
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Janmejay Pandey
- Department of Biotechnology, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Alok Jain
- Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India
| | - Shiv Swaroop
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
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83
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Khanum S, Carbone V, Gupta SK, Yeung J, Shu D, Wilson T, Parlane NA, Altermann E, Estein SM, Janssen PH, Wedlock DN, Heiser A. Mapping immunogenic epitopes of an adhesin-like protein from Methanobrevibacter ruminantium M1 and comparison of empirical data with in silico prediction methods. Sci Rep 2022; 12:10394. [PMID: 35729277 PMCID: PMC9213418 DOI: 10.1038/s41598-022-14545-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 06/08/2022] [Indexed: 11/09/2022] Open
Abstract
In silico prediction of epitopes is a potentially time-saving alternative to experimental epitope identification but is often subject to misidentification of epitopes and may not be useful for proteins from archaeal microorganisms. In this study, we mapped B- and T-cell epitopes of a model antigen from the methanogen Methanobrevibacter ruminantium M1, the Big_1 domain (AdLP-D1, amino acids 19–198) of an adhesin-like protein. A series of 17 overlapping 20-mer peptides was selected to cover the Big_1 domain. Peptide-specific antibodies were produced in mice and measured by ELISA, while an in vitro splenocyte re-stimulation assay determined specific T-cell responses. Overall, five peptides of the 17 peptides were shown to be major immunogenic epitopes of AdLP-D1. These immunogenic regions were examined for their localization in a homology-based model of AdLP-D1. Validated epitopes were found in the outside region of the protein, with loop like secondary structures reflecting their flexibility. The empirical data were compared with epitope predictions made by programmes based on a range of algorithms. In general, the epitopes identified by in silico predictions were not comparable to those determined empirically.
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Affiliation(s)
| | | | | | | | - Dairu Shu
- AgResearch, Palmerston North, New Zealand
| | | | | | - Eric Altermann
- AgResearch, Palmerston North, New Zealand.,Riddet Institute, Massey University, Palmerston North, New Zealand
| | - Silvia M Estein
- Centro de Investigación Veterinaria de Tandil (CIVETAN), UNCPBA-CONICET-CICPBA, Facultad de Ciencias Veterinarias, Campus Universitario, 7000, Tandil, Argentina
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84
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Designing of multi-epitope chimeric vaccine using immunoinformatic platform by targeting oncogenic strain HPV 16 and 18 against cervical cancer. Sci Rep 2022; 12:9521. [PMID: 35681036 PMCID: PMC9184633 DOI: 10.1038/s41598-022-13442-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 05/12/2022] [Indexed: 11/17/2022] Open
Abstract
Cervical cancer is the most common gynaecological cancer and reaches an alarming stage. HPVs are considered the main causative agents for cervical cancer and other sexually transmitted infections across the globe. Currently, three prophylactic vaccines are available against HPV infections with no therapeutic values. Due to a lack of effective therapeutic and prophylactic measures, the HPV infection is spreading in an uncontrolled manner. Next-generation of vaccine is needed to have both prophylactic and therapeutic values against HPV. Here first time we have designed a multi-epitope chimeric vaccine using the most oncogenic strain HPV 16 and HPV 18 through an immunoinformatic approach. In this study, we have used the L1, E5, E6 and E7 oncoproteins from both HPV 16 and HPV 18 strains for epitope prediction. Our recombinant chimeric vaccine construct consists, selected helper and cytotoxic T cell epitopes. Our computational analysis suggests that this chimeric construct is highly stable, non-toxic and also capable of inducing both cell-mediated and humoral immune responses. Furthermore, in silico cloning of the multi-epitope chimeric vaccine construct was done and the stabilization of the vaccine construct is validated with molecular dynamics simulation studies. Finally, our results indicated that our construct could be used for an effective prophylactic and therapeutic vaccine against HPV.
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85
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Jiang L, Tang J, Guo F, Guo Y. Prediction of Major Histocompatibility Complex Binding with Bilateral and Variable Long Short Term Memory Networks. BIOLOGY 2022; 11:biology11060848. [PMID: 35741369 PMCID: PMC9220200 DOI: 10.3390/biology11060848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 11/18/2022]
Abstract
Simple Summary Major histocompatibility complex molecules are of significant biological and clinical importance due to their utility in immunotherapy. The prediction of potential MHC binding peptides can estimate a T-cell immune response. The variable length of existing MHC binding peptides creates difficulty for MHC binding prediction algorithms. Thus, we utilized a bilateral and variable long-short term memory neural network to address this specific problem and developed a novel MHC binding prediction tool. Abstract As an important part of immune surveillance, major histocompatibility complex (MHC) is a set of proteins that recognize foreign molecules. Computational prediction methods for MHC binding peptides have been developed. However, existing methods share the limitation of fixed peptide sequence length, which necessitates the training of models by peptide length or prediction with a length reduction technique. Using a bidirectional long short-term memory neural network, we constructed BVMHC, an MHC class I and II binding prediction tool that is independent of peptide length. The performance of BVMHC was compared to seven MHC class I prediction tools and three MHC class II prediction tools using eight performance criteria independently. BVMHC attained the best performance in three of the eight criteria for MHC class I, and the best performance in four of the eight criteria for MHC class II, including accuracy and AUC. Furthermore, models for non-human species were also trained using the same strategy and made available for applications in mice, chimpanzees, macaques, and rats. BVMHC is composed of a series of peptide length independent MHC class I and II binding predictors. Models from this study have been implemented in an online web portal for easy access and use.
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Affiliation(s)
- Limin Jiang
- Comprehensive Cancer Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA;
| | - Jijun Tang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;
| | - Fei Guo
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
- Correspondence: (F.G.); (Y.G.)
| | - Yan Guo
- Comprehensive Cancer Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA;
- Correspondence: (F.G.); (Y.G.)
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86
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Kawasaki T, Ikegawa M, Kawai T. Antigen Presentation in the Lung. Front Immunol 2022; 13:860915. [PMID: 35615351 PMCID: PMC9124800 DOI: 10.3389/fimmu.2022.860915] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/15/2022] [Indexed: 12/28/2022] Open
Abstract
The lungs are constantly exposed to environmental and infectious agents such as dust, viruses, fungi, and bacteria that invade the lungs upon breathing. The lungs are equipped with an immune defense mechanism that involves a wide variety of immunological cells to eliminate these agents. Various types of dendritic cells (DCs) and macrophages (MACs) function as professional antigen-presenting cells (APCs) that engulf pathogens through endocytosis or phagocytosis and degrade proteins derived from them into peptide fragments. During this process, DCs and MACs present the peptides on their major histocompatibility complex class I (MHC-I) or MHC-II protein complex to naïve CD8+ or CD4+ T cells, respectively. In addition to these cells, recent evidence supports that antigen-specific effector and memory T cells are activated by other lung cells such as endothelial cells, epithelial cells, and monocytes through antigen presentation. In this review, we summarize the molecular mechanisms of antigen presentation by APCs in the lungs and their contribution to immune response.
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Affiliation(s)
| | | | - Taro Kawai
- *Correspondence: Takumi Kawasaki, ; Taro Kawai,
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87
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Jiang J, Du Y, Peng T. SARS-CoV-2 Omicron Variant is Expected to Retain Most of the Spike Protein Specific Dominant T-Cell Epitopes Presented by COVID-19 Vaccines - Worldwide, 2021. China CDC Wkly 2022; 4:381-384. [PMID: 35686202 PMCID: PMC9167615 DOI: 10.46234/ccdcw2022.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/15/2022] [Indexed: 11/14/2022] Open
Abstract
What is already known about this topic? The newly emerged variant of Omicron, which carries many of the mutations found in other variants of concern (VOCs), as well as a great number of new mutations that may enhance its immune escape, has spread rapidly around the world. This has raised public concern about the effectiveness of the current coronavirus disease 2019 (COVID-19) vaccine. What is added by this report? In this study, different bioinformatic softwares were applied to predict the dominant Omicron spike (S) protein cytotoxic T lymphocyte (CTL) and T helper (Th) epitopes in representative world population and Chinese population. Compared to the original severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S protein, limited mutations were identified within the dominant CTL and Th epitopes in Omicron variant. What are the implications for public health practice? The results of this study suggested that the current COVID-19 vaccine-induced T-cell immunity may still provide significant protection against Omicron variant infection in fully vaccinated individuals.
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Affiliation(s)
- Jiajing Jiang
- State Key Laboratory of Respiratory Disease, Sino-French Hoffmann Institute, College of Basic Medical Science, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yingying Du
- State Key Laboratory of Respiratory Disease, Sino-French Hoffmann Institute, College of Basic Medical Science, Guangzhou Medical University, Guangzhou, Guangdong, China,Yingying Du,
| | - Tao Peng
- Guangdong South China Vaccine, Guangzhou, Guangdong, China,Tao Peng,
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88
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Nandre R, Verma V, Gaur P, Patil V, Yang X, Ramlaoui Z, Shobaki N, Andersen MH, Pedersen AW, Zocca MB, Mkrtichyan M, Gupta S, Khleif SN. IDO Vaccine Ablates Immune-Suppressive Myeloid Populations and Enhances Antitumor Effects Independent of Tumor Cell IDO Status. Cancer Immunol Res 2022; 10:571-580. [PMID: 35290437 PMCID: PMC9381100 DOI: 10.1158/2326-6066.cir-21-0457] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 12/20/2021] [Accepted: 03/10/2022] [Indexed: 01/07/2023]
Abstract
The immunosuppressive tumor microenvironment (TME) does not allow generation and expansion of antitumor effector cells. One of the potent immunosuppressive factors present in the TME is the indoleamine-pyrrole 2,3-dioxygenase (IDO) enzyme, produced mainly by cancer cells and suppressive immune cells of myeloid origin. In fact, IDO+ myeloid-derived suppressor cells (MDSC) and dendritic cells (DC) tend to be more suppressive than their IDO- counterparts. Hence, therapeutic approaches that would target the IDO+ cells in the TME, while sparing the antigen-presenting functions of IDO- myeloid populations, are needed. Using an IDO-specific peptide vaccine (IDO vaccine), we explored the possibility of generating effector cells against IDO and non-IDO tumor-derived antigens. For this, IDO-secreting (B16F10 melanoma) and non-IDO-secreting (TC-1) mouse tumor models were employed. We showed that the IDO vaccine significantly reduced tumor growth and enhanced survival of mice in both the tumor models, which associated with a robust induction of IDO-specific effector cells in the TME. The IDO vaccine significantly enhanced the antitumor efficacy of non-IDO tumor antigen-specific vaccines, leading to an increase in the number of total and antigen-specific activated CD8+ T cells (IFNγ+ and granzyme B+). Treatment with the IDO vaccine significantly reduced the numbers of IDO+ MDSCs and DCs, and immunosuppressive regulatory T cells in both tumor models, resulting in enhanced therapeutic ratios. Together, we showed that vaccination against IDO is a promising therapeutic option for both IDO-producing and non-IDO-producing tumors. The IDO vaccine selectively ablates the IDO+ compartment in the TME, leading to a significant enhancement of the immune responses against other tumor antigen-specific vaccines.
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Affiliation(s)
- Rahul Nandre
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Vivek Verma
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Pankaj Gaur
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Veerupaxagouda Patil
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Xingdong Yang
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
| | - Zainab Ramlaoui
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
| | - Nour Shobaki
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
| | | | | | | | - Mikayel Mkrtichyan
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Seema Gupta
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Samir N. Khleif
- The Center for Immunology and Immunotherapy, The Loop Immuno-Oncology Laboratory, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
- Georgia Cancer Center, Augusta University, Augusta, Georgia
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89
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Debnath U, Verma S, Patra J, Mandal SK. A review on recent synthetic routes and computational approaches for antibody drug conjugation developments used in anti-cancer therapy. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.132524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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90
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Becker JP, Riemer AB. The Importance of Being Presented: Target Validation by Immunopeptidomics for Epitope-Specific Immunotherapies. Front Immunol 2022; 13:883989. [PMID: 35464395 PMCID: PMC9018990 DOI: 10.3389/fimmu.2022.883989] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 03/16/2022] [Indexed: 11/26/2022] Open
Abstract
Presentation of tumor-specific or tumor-associated peptides by HLA class I molecules to CD8+ T cells is the foundation of epitope-centric cancer immunotherapies. While often in silico HLA binding predictions or in vitro immunogenicity assays are utilized to select candidates, mass spectrometry-based immunopeptidomics is currently the only method providing a direct proof of actual cell surface presentation. Despite much progress in the last decade, identification of such HLA-presented peptides remains challenging. Here we review typical workflows and current developments in the field of immunopeptidomics, highlight the challenges which remain to be solved and emphasize the importance of direct target validation for clinical immunotherapy development.
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Affiliation(s)
- Jonas P Becker
- Immunotherapy and Immunoprevention, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angelika B Riemer
- Immunotherapy and Immunoprevention, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Molecular Vaccine Design, German Center for Infection Research (DZIF), Partner Site Heidelberg, Heidelberg, Germany
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91
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The Use of Molecular Dynamics Simulation Method to Quantitatively Evaluate the Affinity between HBV Antigen T Cell Epitope Peptides and HLA-A Molecules. Int J Mol Sci 2022; 23:ijms23094629. [PMID: 35563019 PMCID: PMC9105472 DOI: 10.3390/ijms23094629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/02/2022] [Accepted: 04/11/2022] [Indexed: 12/10/2022] Open
Abstract
Chronic hepatitis B virus (HBV), a potentially life-threatening liver disease, makes people vulnerable to serious diseases such as cancer. T lymphocytes play a crucial role in clearing HBV virus, while the pathway depends on the strong binding of T cell epitope peptide and HLA. However, the experimental identification of HLA-restricted HBV antigenic peptides is extremely time-consuming. In this study, we provide a novel prediction strategy based on structure to assess the affinity between the HBV antigenic peptide and HLA molecule. We used residue scanning, peptide docking and molecular dynamics methods to obtain the molecular docking model of HBV peptide and HLA, and then adopted the MM-GBSA method to calculate the binding affinity of the HBV peptide–HLA complex. Overall, we collected 59 structures of HLA-A from Protein Data Bank, and finally obtained 352 numerical affinity results to figure out the optimal bind choice between the HLA-A molecules and 45 HBV T cell epitope peptides. The results were highly consistent with the qualitative affinity level determined by the competitive peptide binding assay, which confirmed that our affinity prediction process based on an HLA structure is accurate and also proved that the homologous modeling strategy for HLA-A molecules in this study was reliable. Hence, our work highlights an effective way by which to predict and screen for HLA-peptide binding that would improve the treatment of HBV infection.
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92
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Non-Mutated Nucleophosmin 1 Is Recognized by the CD8+ T Lymphocytes of an AML Patient after the Transplantation of Hematopoietic Stem Cells from an HLA-Haploidentical Donor. Curr Oncol 2022; 29:2928-2934. [PMID: 35621629 PMCID: PMC9140185 DOI: 10.3390/curroncol29050239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/01/2022] [Accepted: 04/06/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Our study describes an AML patient whose leukemia cells carried the NPM1c+ mutation, and who was the recipient of allogeneic HSCT from a haploidentical donor. The patient raised a robust allorestricted CD8+ T cell response directed against the NPM1wt protein. Favourably, the response against NPM1wt was not accompanied by side effects such as GvHD. Moreover, the induction of a high NPM1wt specific response coincided with the decrease in NPM1c+ transcripts detected, implying a beneficial graft versus leukemia effect. On the basis of these results, we suppose that TCRs from allorestricted NPM1wt-specific T cells are worth studying in other recipients of grafts from haploidentical donors as a possible tool for TCR gene therapy. Abstract Nucleophosmin (NPM1, B23) is a multifunctional phosphoprotein expressed in all tissues. The protein is mainly localized in nucleoli. In hematological malignancies, NPM1 belongs to commonly altered genes. Its mutation, always heterozygous, leads to the re-localization of the NPM1 protein from the nucleolus to the cytoplasm (NPM1c+). NPM1c+ is found in 30% of acute myeloid leukemia (AML). Our study showed that an AML patient, whose leukemia cells carried the NPM1c+ mutation and who was the recipient of allogeneic HSCT from a haploidentical donor, raised a robust allorestricted CD8+ T cell response directed against the NPM1wt protein. Favourably, the response against NPM1wt was not accompanied by side effects such as GvHD. Moreover, the induction of a high NPM1wt-specific response coincided with the decrease in NPM1c+ transcripts detected, implying a beneficial graft versus leukemia effect. On the basis of these results, we suppose that TCRs from allorestricted NPM1wt-specific T cells are worth studying in other recipients of grafts from haploidentical donors as a possible tool for TCR gene therapy.
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93
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Cook K, Xue W, Atabani S, Symonds P, Al Omari A, Daniels I, Shah S, Choudhury RH, Weston D, Metheringham R, Brentville V, Durrant L. Vaccine Can Induce CD4-Mediated Responses to Homocitrullinated Peptides via Multiple HLA-Types and Confer Anti-Tumor Immunity. Front Immunol 2022; 13:873947. [PMID: 35464453 PMCID: PMC9028767 DOI: 10.3389/fimmu.2022.873947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Homocitrullination is the post translation modification (PTM) of the amino acid lysine to homocitrulline also referred to as carbamylation. This PTM has mainly been studied in relation to autoimmune diseases including rheumatoid arthritis. Homocitrullination of lysines alters their charge which can lead to generation of neoepitopes that are differentially presented by MHC-II and induce modification-specific immune responses. Homocitrullination is often considered a process which triggers autoimmune disease by bypassing self-tolerance however, we suggest that homocitrullination may also have an alternative role in immune responses including protection against cancer. Here we demonstrate that immune responses to homocitrullinated peptides from three different proteins can be induced via multiple HLA-types. Immunization of Balb/c or HLA-transgenic DR4 and DR1 mice can induce modification-specific CD4 mediated IFNγ responses. Healthy human donors show a clear repertoire for the homocitrullinated Vimentin peptide (Vim116-135Hcit), with modification-specific and oligoclonal responses. Importantly, in vivo homocitrulline specific Vim116-135Hcit,Cyk8 371-388Hcit and Aldo 140-157Hcit responses are able to confer an anti-tumor effect in the murine B16 melanoma model. The Vim116-135Hcit anti-tumor response was dependent upon tumor expression of MHC-II suggesting the direct recognition of PTMs on tumor is an important anti-tumor mechanism. Cancer patients also have a CD4 repertoire for Vim116-135Hcit. Together these results suggest that homocitrulline-specific immune responses can be generated in healthy mice and detected in human donors through a variety of HLA-restrictions. Immunization can induce responses to Vim116-135Hcit,Aldolase 140-157Hcit and Cyk8 371-388Hcit which provide anti-tumor therapy across several HLA-types. Our results advance our understanding of homocitrulline-specific immune responses, with implications for a number of fields beyond autoimmunity, including tumor immune surveillance.
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Affiliation(s)
- Katherine Cook
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Wei Xue
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Suha Atabani
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
- The Cancer Vaccine Group, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Peter Symonds
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Abdullah Al Omari
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Ian Daniels
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Sabaria Shah
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Ruhul Hasan Choudhury
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Daisy Weston
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Rachael Metheringham
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Victoria Brentville
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
| | - Lindy Durrant
- Scancell Limited, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
- The Cancer Vaccine Group, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom
- *Correspondence: Lindy Durrant,
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94
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Sun B, Zhang J, Wang J, Liu Y, Sun H, Lu Z, Chen L, Ding X, Pan J, Hu C, Yang S, Jiang D, Yang K. Comparative Immunoreactivity Analyses of Hantaan Virus Glycoprotein-Derived MHC-I Epitopes in Vaccination. Vaccines (Basel) 2022; 10:564. [PMID: 35455313 PMCID: PMC9030823 DOI: 10.3390/vaccines10040564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 03/02/2022] [Accepted: 03/07/2022] [Indexed: 11/25/2022] Open
Abstract
MHC-I antigen processes and presentation trigger host-specific anti-viral cellular responses during infection, in which epitope-recognizing cytotoxic T lymphocytes eliminate infected cells and contribute to viral clearance through a cytolytic killing effect. In this study, Hantaan virus (HTNV) GP-derived 9-mer dominant epitopes were obtained with high affinity to major HLA-I and H-2 superfamilies. Further immunogenicity and conservation analyses selected 11 promising candidates, and molecule docking (MD) was then simulated with the corresponding MHC-I alleles. Two-way hierarchical clustering revealed the interactions between GP peptides and MHC-I haplotypes. Briefly, epitope hotspots sharing good affinity to a wide spectrum of MHC-I molecules highlighted the biomedical practice for vaccination, and haplotype clusters represented the similarities among individuals during T-cell response establishment. Cross-validation proved the patterns observed through both MD simulation and public data integration. Lastly, 148 HTNV variants yielded six types of major amino acid residue replacements involving four in nine hotspots, which minimally influenced the general potential of MHC-I superfamily presentation. Altogether, our work comprehensively evaluates the pan-MHC-I immunoreactivity of HTNV GP through a state-of-the-art workflow in light of comparative immunology, acknowledges present discoveries, and offers guidance for ongoing HTNV vaccine pursuit.
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Affiliation(s)
- Baozeng Sun
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Junqi Zhang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Jiawei Wang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Yang Liu
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
- Shaanxi Provincial Center for Disease Control and Prevention, Xi’an 710054, China
| | - Hao Sun
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
- Tangshan Sannvhe Airport, Tangshan 063000, China
| | - Zhenhua Lu
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
- Department of Epidemiology, Public Health School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China
| | - Longyu Chen
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Xushen Ding
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Jingyu Pan
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Chenchen Hu
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Shuya Yang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Dongbo Jiang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
| | - Kun Yang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi’an 710032, China; (B.S.); (J.Z.); (J.W.); (Y.L.); (H.S.); (Z.L.); (L.C.); (X.D.); (J.P.); (C.H.); (S.Y.)
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95
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A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design. NAT MACH INTELL 2022. [DOI: 10.1038/s42256-022-00459-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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96
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Borden ES, Buetow KH, Wilson MA, Hastings KT. Cancer Neoantigens: Challenges and Future Directions for Prediction, Prioritization, and Validation. Front Oncol 2022; 12:836821. [PMID: 35311072 PMCID: PMC8929516 DOI: 10.3389/fonc.2022.836821] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Prioritization of immunogenic neoantigens is key to enhancing cancer immunotherapy through the development of personalized vaccines, adoptive T cell therapy, and the prediction of response to immune checkpoint inhibition. Neoantigens are tumor-specific proteins that allow the immune system to recognize and destroy a tumor. Cancer immunotherapies, such as personalized cancer vaccines, adoptive T cell therapy, and immune checkpoint inhibition, rely on an understanding of the patient-specific neoantigen profile in order to guide personalized therapeutic strategies. Genomic approaches to predicting and prioritizing immunogenic neoantigens are rapidly expanding, raising new opportunities to advance these tools and enhance their clinical relevance. Predicting neoantigens requires acquisition of high-quality samples and sequencing data, followed by variant calling and variant annotation. Subsequently, prioritizing which of these neoantigens may elicit a tumor-specific immune response requires application and integration of tools to predict the expression, processing, binding, and recognition potentials of the neoantigen. Finally, improvement of the computational tools is held in constant tension with the availability of datasets with validated immunogenic neoantigens. The goal of this review article is to summarize the current knowledge and limitations in neoantigen prediction, prioritization, and validation and propose future directions that will improve personalized cancer treatment.
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Affiliation(s)
- Elizabeth S Borden
- Department of Basic Medical Sciences, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, United States.,Department of Research and Internal Medicine (Dermatology), Phoenix Veterans Affairs Health Care System, Phoenix, AZ, United States
| | - Kenneth H Buetow
- School of Life Sciences, Arizona State University, Tempe, AZ, United States.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, United States
| | - Melissa A Wilson
- School of Life Sciences, Arizona State University, Tempe, AZ, United States.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, United States
| | - Karen Taraszka Hastings
- Department of Basic Medical Sciences, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, United States.,Department of Research and Internal Medicine (Dermatology), Phoenix Veterans Affairs Health Care System, Phoenix, AZ, United States
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97
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Ru Z, Yu M, Zhu Y, Chen Z, Zhang F, Zhang Z, Ding J. Immmunoinformatics-based design of a multi-epitope vaccine with CTLA-4 extracellular domain to combat Helicobacter pylori. FASEB J 2022; 36:e22252. [PMID: 35294065 DOI: 10.1096/fj.202101538rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 02/17/2022] [Accepted: 03/01/2022] [Indexed: 11/11/2022]
Abstract
In view of the high infection rate of Helicobacter pylori, a safe and effective vaccine is urgently needed. Recent trends in vaccine design have shifted toward safe and specific epitope-based vaccines. In this study, by using different immunoinformatics approaches, a total of eight linear B cell epitopes, four HTL and three CTL epitopes of FlaA and UreB proteins of H. pylori G27 strain were screened out, we also predicted the conformational epitopes of the two proteins. Then, the dominant epitopes were sequentially linked by appropriate linkers, and the cytotoxic T lymphocyte-associated antigen 4 extracellular domain was attached to the N-terminal of the epitope sequence. Meanwhile, molecular docking, molecular dynamics simulations and principal component analysis were performed to show that the multi-epitope vaccine structure had strong interactions with B7 (B7-1, B7-2) and Toll-like receptors (TLR-2, -4). Eventually, the effectiveness of the vaccine was validated using in silico cloning. These analyses suggested that the designed vaccine could target antigen-presenting cells and had high potency against H. pylori, which could provide a reference for the future development of efficient H. pylori vaccines.
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Affiliation(s)
- Zhenyu Ru
- Department of Gastroenterology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Mingkai Yu
- Department of Immunology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Yuejie Zhu
- Center of Reproductive Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Zhiqiang Chen
- Department of Immunology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Fengbo Zhang
- Department of Clinical Laboratory, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence Diseases, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Zhiqiang Zhang
- Department of Gastroenterology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence Diseases, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jianbing Ding
- Department of Immunology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
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98
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Cheng R, Xu Z, Luo M, Wang P, Cao H, Jin X, Zhou W, Xiao L, Jiang Q. Identification of alternative splicing-derived cancer neoantigens for mRNA vaccine development. Brief Bioinform 2022; 23:bbab553. [PMID: 35279714 DOI: 10.1093/bib/bbab553] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/15/2021] [Accepted: 12/02/2021] [Indexed: 12/17/2023] Open
Abstract
Messenger RNA (mRNA) vaccines have shown great potential for anti-tumor therapy due to the advantages in safety, efficacy and industrial production. However, it remains a challenge to identify suitable cancer neoantigens that can be targeted for mRNA vaccines. Abnormal alternative splicing occurs in a variety of tumors, which may result in the translation of abnormal transcripts into tumor-specific proteins. High-throughput technologies make it possible for systematic characterization of alternative splicing as a source of suitable target neoantigens for mRNA vaccine development. Here, we summarized difficulties and challenges for identifying alternative splicing-derived cancer neoantigens from RNA-seq data and proposed a conceptual framework for designing personalized mRNA vaccines based on alternative splicing-derived cancer neoantigens. In addition, several points were presented to spark further discussion toward improving the identification of alternative splicing-derived cancer neoantigens.
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Affiliation(s)
- Rui Cheng
- Harbin Institute of Technology, China
| | | | - Meng Luo
- Harbin Institute of Technology, China
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99
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Abstract
This review discusses peptide epitopes used as antigens in the development of vaccines in clinical trials as well as future vaccine candidates. It covers peptides used in potential immunotherapies for infectious diseases including SARS-CoV-2, influenza, hepatitis B and C, HIV, malaria, and others. In addition, peptides for cancer vaccines that target examples of overexpressed proteins are summarized, including human epidermal growth factor receptor 2 (HER-2), mucin 1 (MUC1), folate receptor, and others. The uses of peptides to target cancers caused by infective agents, for example, cervical cancer caused by human papilloma virus (HPV), are also discussed. This review also provides an overview of model peptide epitopes used to stimulate non-specific immune responses, and of self-adjuvanting peptides, as well as the influence of other adjuvants on peptide formulations. As highlighted in this review, several peptide immunotherapies are in advanced clinical trials as vaccines, and there is great potential for future therapies due the specificity of the response that can be achieved using peptide epitopes.
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Affiliation(s)
- Ian W Hamley
- Department of Chemistry, University of Reading, Whiteknights, Reading RG6 6AD, U.K
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Liu Y, Sun B, Wang J, Sun H, Lu Z, Chen L, Lan M, Xu J, Pan J, Shi J, Sun Y, Zhang X, Wang J, Jiang D, Yang K. In silico analyses and experimental validation of the MHC class-I restricted epitopes of Ebolavirus GP. Int Immunol 2022; 34:313-325. [PMID: 35192720 DOI: 10.1093/intimm/dxac006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Ebolavirus (EBOV) causes an extremely high mortality and prevalence disease called Ebola virus disease (EVD). There is only one glycoprotein (GP) on the virus particle surface, which mediates entry into the host cell. MHC class-I restricted CD8 + T cell responses are important antiviral immune responses. Therefore, it is of great importance to understand EBOV GP-specific MHC class-I restricted epitopes within immunogenicity. In this study, computational approaches were employed to predict the dominant MHC class-I molecule epitopes of EBOV GP for mouse H2 and major alleles of HLA class-I supertypes. Our results yielded 42 dominant epitopes in H2 haplotypes and 301 dominant epitopes in HLA class-I haplotypes. After validation by ELISpot assay, in-depth analyses to ascertain their nature of conservation, immunogenicity, and docking with the corresponding MHC class-I molecules were undertaken. Our study predicted MHC class-I restricted epitopes that may aid the advancement of anti-EBOV immune responses. And the integrated strategy of epitope prediction, validation, and comparative analyses were postulated, promising for epitope-based immunotherapy development and application to viral epidemics.
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Affiliation(s)
- Yang Liu
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China.,Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, Shaanxi, P.R. China
| | - Baozeng Sun
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Jiawei Wang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Hao Sun
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China.,Tangshan Sannvhe Airport, Tangshan, Hebei, P.R. China
| | - Zhenhua Lu
- Department of Epidemiology, Public Health School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Longyu Chen
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Mingfu Lan
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Jiahao Xu
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Jingyu Pan
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Jingqi Shi
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Yuanjie Sun
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Xiyang Zhang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Jing Wang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Dongbo Jiang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
| | - Kun Yang
- Department of Immunology, Basic Medicine School, Air-Force Medical University (the Fourth Military Medical University), Xi'an, Shaanxi, P.R. China
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