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Zhang M, Xu W, Luo L, Guan F, Wang X, Zhu P, Zhang J, Zhou X, Wang F, Ye S. Identification and affinity enhancement of T-cell receptor targeting a KRAS G12V cancer neoantigen. Commun Biol 2024; 7:512. [PMID: 38684865 PMCID: PMC11058820 DOI: 10.1038/s42003-024-06209-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/17/2024] [Indexed: 05/02/2024] Open
Abstract
Neoantigens derived from somatic mutations in Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS), the most frequently mutated oncogene, represent promising targets for cancer immunotherapy. Recent research highlights the potential role of human leukocyte antigen (HLA) allele A*11:01 in presenting these altered KRAS variants to the immune system. In this study, we successfully generate and identify murine T-cell receptors (TCRs) that specifically recognize KRAS8-16G12V from three predicted high affinity peptides. By determining the structure of the tumor-specific 4TCR2 bound to KRASG12V-HLA-A*11:01, we conduct structure-based design to create and evaluate TCR variants with markedly enhanced affinity, up to 15.8-fold. This high-affinity TCR mutant, which involved only two amino acid substitutions, display minimal conformational alterations while maintaining a high degree of specificity for the KRASG12V peptide. Our research unveils the molecular mechanisms governing TCR recognition towards KRASG12V neoantigen and yields a range of affinity-enhanced TCR mutants with significant potential for immunotherapy strategies targeting tumors harboring the KRASG12V mutation.
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Affiliation(s)
- Mengyu Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China
| | - Wei Xu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- Department of Savaid Medical School, University of Chinese Academy of Sciences (CAS), Beijing, 100049, China
| | - Lingjie Luo
- School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Fenghui Guan
- The Cancer Hospital of the University of Chinese Academy of Sciences, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, 310022, China
| | - Xiangyao Wang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China
| | - Pei Zhu
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China
| | - Jianhua Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- Department of Savaid Medical School, University of Chinese Academy of Sciences (CAS), Beijing, 100049, China
| | - Xuyu Zhou
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.
- Department of Savaid Medical School, University of Chinese Academy of Sciences (CAS), Beijing, 100049, China.
| | - Feng Wang
- State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Sheng Ye
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China.
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Jeffreys N, Brockman JM, Zhai Y, Ingber DE, Mooney DJ. Mechanical forces amplify TCR mechanotransduction in T cell activation and function. APPLIED PHYSICS REVIEWS 2024; 11:011304. [PMID: 38434676 PMCID: PMC10848667 DOI: 10.1063/5.0166848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/08/2023] [Indexed: 03/05/2024]
Abstract
Adoptive T cell immunotherapies, including engineered T cell receptor (eTCR) and chimeric antigen receptor (CAR) T cell immunotherapies, have shown efficacy in treating a subset of hematologic malignancies, exhibit promise in solid tumors, and have many other potential applications, such as in fibrosis, autoimmunity, and regenerative medicine. While immunoengineering has focused on designing biomaterials to present biochemical cues to manipulate T cells ex vivo and in vivo, mechanical cues that regulate their biology have been largely underappreciated. This review highlights the contributions of mechanical force to several receptor-ligand interactions critical to T cell function, with central focus on the TCR-peptide-loaded major histocompatibility complex (pMHC). We then emphasize the role of mechanical forces in (i) allosteric strengthening of the TCR-pMHC interaction in amplifying ligand discrimination during T cell antigen recognition prior to activation and (ii) T cell interactions with the extracellular matrix. We then describe approaches to design eTCRs, CARs, and biomaterials to exploit TCR mechanosensitivity in order to potentiate T cell manufacturing and function in adoptive T cell immunotherapy.
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Affiliation(s)
| | | | - Yunhao Zhai
- Wyss Institute for Biologically Inspired Engineering, Boston, Massachusetts 02115, USA
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Chancellor A, Alan Simmons R, Khanolkar RC, Nosi V, Beshirova A, Berloffa G, Colombo R, Karuppiah V, Pentier JM, Tubb V, Ghadbane H, Suckling RJ, Page K, Crean RM, Vacchini A, De Gregorio C, Schaefer V, Constantin D, Gligoris T, Lloyd A, Hock M, Srikannathasan V, Robinson RA, Besra GS, van der Kamp MW, Mori L, Calogero R, Cole DK, De Libero G, Lepore M. Promiscuous recognition of MR1 drives self-reactive mucosal-associated invariant T cell responses. J Exp Med 2023; 220:e20221939. [PMID: 37382893 PMCID: PMC10309188 DOI: 10.1084/jem.20221939] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 04/02/2023] [Accepted: 05/25/2023] [Indexed: 06/30/2023] Open
Abstract
Mucosal-associated invariant T (MAIT) cells use canonical semi-invariant T cell receptors (TCR) to recognize microbial riboflavin precursors displayed by the antigen-presenting molecule MR1. The extent of MAIT TCR crossreactivity toward physiological, microbially unrelated antigens remains underexplored. We describe MAIT TCRs endowed with MR1-dependent reactivity to tumor and healthy cells in the absence of microbial metabolites. MAIT cells bearing TCRs crossreactive toward self are rare but commonly found within healthy donors and display T-helper-like functions in vitro. Experiments with MR1-tetramers loaded with distinct ligands revealed significant crossreactivity among MAIT TCRs both ex vivo and upon in vitro expansion. A canonical MAIT TCR was selected on the basis of extremely promiscuous MR1 recognition. Structural and molecular dynamic analyses associated promiscuity to unique TCRβ-chain features that were enriched within self-reactive MAIT cells of healthy individuals. Thus, self-reactive recognition of MR1 represents a functionally relevant indication of MAIT TCR crossreactivity, suggesting a potentially broader role of MAIT cells in immune homeostasis and diseases, beyond microbial immunosurveillance.
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Affiliation(s)
- Andrew Chancellor
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | | | - Vladimir Nosi
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Aisha Beshirova
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Giuliano Berloffa
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Rodrigo Colombo
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | | | | | | | | | | | - Rory M. Crean
- Department of Biology and Biochemistry, University of Bath, Bath, UK
- Doctoral Training Centre in Sustainable Chemical Technologies, University of Bath, Bath, UK
| | - Alessandro Vacchini
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Corinne De Gregorio
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Verena Schaefer
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Daniel Constantin
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | | | | | | | | | - Gurdyal S. Besra
- School of Biosciences, Institute of Microbiology and Infection, University of Birmingham, Edgbaston, UK
| | | | - Lucia Mori
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Raffaele Calogero
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | | | - Gennaro De Libero
- Experimental Immunology, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
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Therapeutic high affinity T cell receptor targeting a KRASG12D cancer neoantigen. Nat Commun 2022; 13:5333. [PMID: 36088370 PMCID: PMC9464187 DOI: 10.1038/s41467-022-32811-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 08/16/2022] [Indexed: 11/09/2022] Open
Abstract
Neoantigens derived from somatic mutations are specific to cancer cells and are ideal targets for cancer immunotherapy. KRAS is the most frequently mutated oncogene and drives the pathogenesis of several cancers. Here we show the identification and development of an affinity-enhanced T cell receptor (TCR) that recognizes a peptide derived from the most common KRAS mutant, KRASG12D, presented in the context of HLA-A*11:01. The affinity of the engineered TCR is increased by over one million-fold yet fully able to distinguish KRASG12D over KRASWT. While crystal structures reveal few discernible differences in TCR interactions with KRASWT versus KRASG12D, thermodynamic analysis and molecular dynamics simulations reveal that TCR specificity is driven by differences in indirect electrostatic interactions. The affinity enhanced TCR, fused to a humanized anti-CD3 scFv, enables selective killing of cancer cells expressing KRASG12D. Our work thus reveals a molecular mechanism that drives TCR selectivity and describes a soluble bispecific molecule with therapeutic potential against cancers harboring a common shared neoantigen. Cancers often harbor mutations in genes encoding important regulatory proteins, but therapeutic targeting of these molecules proves difficult due to their high structural similarity to their non-mutated counterpart. Here authors show the engineering of T cell engaging bispecific protein able to selectively target cancer cells with a high-frequency mutation in the KRAS oncogene.
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Simister PC, Border EC, Vieira JF, Pumphrey NJ. Structural insights into engineering a T-cell receptor targeting MAGE-A10 with higher affinity and specificity for cancer immunotherapy. J Immunother Cancer 2022; 10:jitc-2022-004600. [PMID: 35851311 PMCID: PMC9295655 DOI: 10.1136/jitc-2022-004600] [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] [Accepted: 05/17/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND T-cell receptor (TCR) immunotherapy is becoming a viable modality in cancer treatment with efficacy in clinical trials. The safety of patients is paramount, so innovative cell engineering methods are being employed to exploit adaptive immunity while controlling the factors governing antigen receptor (ie, TCR) specificity and cross-reactivity. We recently reported a TCR engineering campaign and selectivity profiling assay (X-scan) targeting a melanoma antigen gene (MAGE)-A10 peptide. This helped to distinguish between two well-performing TCRs based on cross-reactivity potential during preclinical drug evaluation, allowing one to be advanced to T-cell immunotherapeutic clinical trials. Here, we present three-dimensional structural information on those TCRs, highlighting engineering improvements and molecular mechanisms likely underpinning differential selectivity. METHODS Parental and engineered TCRs were purified and crystallized either alone or complexed to human leucocyte antigen (HLA)-A*02:01 presenting the MAGE-A10 9-mer peptide, GLYDGMEHL (pHLA/MAGE-A10-9). Using X-ray diffraction, we solved four high-resolution crystal structures and evaluated them relative to previously reported functional results. RESULTS The unligated parental TCR displayed similar complementarity-determining region (CDR) loop conformations when bound to pHLA/MAGE-A10-9; a rigid-body movement of TCR beta chain variable domain (TRBV) relative to TCR alpha chain variable domain helped optimal pHLA engagement. This first view of an HLA-bound MAGE-A10 peptide revealed an intrachain non-covalent 'staple' between peptide Tyr3 and Glu7. A subtle Glu31-Asp mutation in βCDR1 of the parental TCR generated a high-affinity derivative. Its pHLA-complexed structure shows that the shorter Asp leans toward the pHLA with resulting rigid-body TRBV shift, creating localized changes around the peptide's C-terminus. Structural comparison with a less selective TCR indicated that differential cross-reactivity to MAGE-A10 peptide variants is most readily explained by alterations in surface electrostatics, and the size and geometry of TCR-peptide interfacial cavities. CONCLUSIONS Modest changes in engineered TCRs targeting MAGE-A10 produced significantly different properties. Conformational invariance of TCR and antigen peptide plus more space-filling CDR loop sequences may be desirable properties for clinically relevant TCR-pHLA systems to reduce the likelihood of structurally similar peptide mimics being tolerated by a TCR. Such properties may partially explain why the affinity-enhanced, in vitro-selected TCR has been generally well tolerated in patients.
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Zhu Y, Huang CX, Zhang L, Wang ZF, Zhao DL, Ding F, Zhang SY, Li YQ, Chen LZ. Promoting the formation of Pi-stacking interaction to improve CTL cells activation between modified peptide and HLA. Am J Transl Res 2022; 14:5164-5177. [PMID: 35958484 PMCID: PMC9360904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE This study aims to investigate the use of single residue substitution to promote the formation of pi-stacking interactions between peptides and Human leukocyte antigen (HLA)-A*2402 molecules to improve the affinity of peptides and HLA molecules, as well as the level of cytotoxic T lymphocyte (CTL) cells activated by peptides-HLA (p-HLA) complex. METHODS Molecular docking and molecular dynamics simulation were used to simulate and analyze the interactions and binding free energies between HLA-A*2402-restricted antigen peptides and HLA molecules, before and after the single residue substitution. HLA-A*2402 restricted antigen peptides before and after the single residue replacement were loaded into dendritic cells (DCs) in vitro, and further Enzyme-Linked ImmunoSpot (ELispot) test was carried out to evaluate the effect of modified antigen peptides on the immune activation of CTL cells. RESULT After replacing the antigen peptides with a single residue, some of them could promote the formation of pi-stacking interaction. The binding free energy between the modified antigen peptides and HLA-A*2402, as well as the level of immune activation of CTL cells were mostly higher than before, especially after the replacement of the 9th residue of the polypeptide, such as C9F and C9W. There was a significant negative correlation between the level of activated CTL cells by modified antigen peptides and the total interaction amount of hydrogen bonds and salt bridges. CONCLUSION Promoting the formation of pi-stacking interaction between antigen peptides and HLA-A*2402 molecules could increase the total binding free energy of p-HLA complex and the level of CTL cells activation. In addition, the amount of hydrogen bonds and salt bridges between peptides and HLA could reduce the level of immune activation. All the characteristics above can improve the immunogenicities of the weak antigens.
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Affiliation(s)
- Ying Zhu
- Department of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical UniversityHangzhou 310000, Zhejiang, China
| | - Chang-Xin Huang
- Department of Oncology, The Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310000, Zhejiang, China
| | - Le Zhang
- Master Class, Zhejiang Chinese Medical University, The Fourth School of Clinical MedicineHangzhou 310000, Zhejiang, China
| | - Ze-Fang Wang
- Master Class, Hangzhou Normal University, The School of MedicineHangzhou 3100000, Zhejiang, China
| | - Dong-Li Zhao
- Master Class, Zhejiang Chinese Medical University, The Fourth School of Clinical MedicineHangzhou 310000, Zhejiang, China
| | - Fei Ding
- Department of Oncology, The Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310000, Zhejiang, China
| | - Si-Yu Zhang
- Department of Oncology, The Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310000, Zhejiang, China
| | - Yong-Qiang Li
- Department of Oncology, The Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310000, Zhejiang, China
| | - Ling-Zhi Chen
- Department of Blood Transfusion, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing UniversityJiaxing 314000, Zhejiang, China
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Crean RM, Pudney CR, Cole DK, van der Kamp MW. Reliable In Silico Ranking of Engineered Therapeutic TCR Binding Affinities with MMPB/GBSA. J Chem Inf Model 2022; 62:577-590. [PMID: 35049312 PMCID: PMC9097153 DOI: 10.1021/acs.jcim.1c00765] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
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Accurate
and efficient in silico ranking of protein–protein
binding affinities is useful for protein design with applications
in biological therapeutics. One popular approach to rank binding affinities
is to apply the molecular mechanics Poisson–Boltzmann/generalized
Born surface area (MMPB/GBSA) method to molecular dynamics (MD) trajectories.
Here, we identify protocols that enable the reliable evaluation of
T-cell receptor (TCR) variants binding to their target, peptide-human
leukocyte antigens (pHLAs). We suggest different protocols for variant
sets with a few (≤4) or many mutations, with entropy corrections
important for the latter. We demonstrate how potential outliers could
be identified in advance and that just 5–10 replicas of short
(4 ns) MD simulations may be sufficient for the reproducible and accurate
ranking of TCR variants. The protocols developed here can be applied
toward in silico screening during the optimization
of therapeutic TCRs, potentially reducing both the cost and time taken
for biologic development.
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Affiliation(s)
| | | | - David K. Cole
- Immunocore Ltd., Milton Park, Abingdon OX14 4RY, U.K
- Division of Infection & Immunity, Cardiff University, Cardiff CF14 4XN, U.K
| | - Marc W. van der Kamp
- School of Biochemistry, University of Bristol, Biomedical Sciences Building, Bristol BS8 1TD, U.K
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Robinson RA, McMurran C, McCully ML, Cole DK. Engineering soluble T-cell receptors for therapy. FEBS J 2021; 288:6159-6173. [PMID: 33624424 PMCID: PMC8596704 DOI: 10.1111/febs.15780] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/11/2021] [Accepted: 02/22/2021] [Indexed: 12/15/2022]
Abstract
Immunotherapy approaches that target peptide-human leukocyte antigen (pHLA) complexes are becoming highly attractive because of their potential to access virtually all foreign and cellular proteins. For this reason, there has been considerable interest in the development of the natural ligand for pHLA, the T-cell receptor (TCR), as a soluble drug to target disease-associated pHLA presented at the cell surface. However, native TCR stability is suboptimal for soluble drug development, and natural TCRs generally have weak affinities for pHLAs, limiting their potential to reach efficacious receptor occupancy levels as soluble drugs. To overcome these limitations and make full use of the TCR as a soluble drug platform, several protein engineering solutions have been applied to TCRs to enhance both their stability and affinity, with a focus on retaining target specificity and selectivity. Here, we review these advances and look to the future for the next generation of soluble TCR-based therapies that can target monomorphic HLA-like proteins presenting both peptide and nonpeptide antigens.
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