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Wei F, Kouro T, Nakamura Y, Ueda H, Iiizumi S, Hasegawa K, Asahina Y, Kishida T, Morinaga S, Himuro H, Horaguchi S, Tsuji K, Mano Y, Nakamura N, Kawamura T, Sasada T. Enhancing Mass spectrometry-based tumor immunopeptide identification: machine learning filter leveraging HLA binding affinity, aliphatic index and retention time deviation. Comput Struct Biotechnol J 2024; 23:859-869. [PMID: 38356658 PMCID: PMC10864759 DOI: 10.1016/j.csbj.2024.01.023] [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: 11/02/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/16/2024] Open
Abstract
Accurately identifying neoantigens is crucial for developing effective cancer vaccines and improving tumor immunotherapy. Mass spectrometry-based immunopeptidomics has emerged as a promising approach to identifying human leukocyte antigen (HLA) peptides presented on the surface of cancer cells, but false-positive identifications remain a significant challenge. In this study, liquid chromatography-tandem mass spectrometry-based proteomics and next-generation sequencing were utilized to identify HLA-presenting neoantigenic peptides resulting from non-synonymous single nucleotide variations in tumor tissues from 18 patients with renal cell carcinoma or pancreatic cancer. Machine learning was utilized to evaluate Mascot identifications through the prediction of MS/MS spectral consistency, and four descriptors for each candidate sequence: the max Mascot ion score, predicted HLA binding affinity, aliphatic index and retention time deviation, were selected as important features in filtering out identifications with inadequate fragmentation consistency. This suggests that incorporating rescoring filters based on peptide physicochemical characteristics could enhance the identification rate of MS-based immunopeptidomics compared to the traditional Mascot approach predominantly used for proteomics, indicating the potential for optimizing neoantigen identification pipelines as well as clinical applications.
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Affiliation(s)
- Feifei Wei
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Taku Kouro
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Yuko Nakamura
- Isotope Science Center, The University of Tokyo, Tokyo, Japan
| | - Hiroki Ueda
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Susumu Iiizumi
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Research & Early Development Division, BrightPath Biotherapeutics Co., Ltd., Kawasaki, Japan
| | - Kyoko Hasegawa
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Research & Early Development Division, BrightPath Biotherapeutics Co., Ltd., Kawasaki, Japan
| | - Yuki Asahina
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Takeshi Kishida
- Department of Urology, Kanagawa Cancer Center, Yokohama, Japan
| | - Soichiro Morinaga
- Department of Hepato-Biliary and Pancreatic Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Hidetomo Himuro
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Shun Horaguchi
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
- Department of Pediatric Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Kayoko Tsuji
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Yasunobu Mano
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Norihiro Nakamura
- Research & Early Development Division, BrightPath Biotherapeutics Co., Ltd., Kawasaki, Japan
| | | | - Tetsuro Sasada
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
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2
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Wang Y, Wang H, Shi T, Song X, Zhang X, Zhang Y, Wang X, Che K, Luo Y, Yu L, Liu B, Wei J. Immunotherapies targeting the oncogenic fusion gene CLDN18-ARHGAP in gastric cancer. EMBO Mol Med 2024:10.1038/s44321-024-00120-3. [PMID: 39164472 DOI: 10.1038/s44321-024-00120-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 08/22/2024] Open
Abstract
The CLDN18-ARHGAP fusion gene is an oncogenic driver newly discovered in gastric cancer. It was detected in 9% (8/87) of gastric cancer patients in our center. An immunogenic peptide specifically targeting CLDN18-ARHGAP fusion gene was generated to induce neoantigen-reactive T cells, which was proved to have specific and robust anti-tumor capacity both in in vitro coculture models and in vivo xenograft gastric cancer models. Apart from the immunogenic potential, CLDN18-ARHGAP fusion gene was also found to contribute to immune suppression by inducing a regulatory T (Treg) cell-enriched microenvironment. Mechanistically, gastric cancer cells with CLDN18-ARHGAP fusion activate PI3K/AKT-mTOR-FAS signaling, which enhances free fatty acid production of gastric cancer cells to favor the survival of Treg cells. Furthermore, PI3K inhibition could effectively reverse Treg cells upregulation to enhance anti-tumor cytotoxicity of neoantigen-reactive T cells in vitro and reduce tumor growth in the xenograft gastric cancer model. Our study identified the CLDN18-ARHGAP fusion gene as a critical source of immunogenic neoepitopes, a key regulator of the tumor immune microenvironment, and immunotherapeutic applications specific to this oncogenic fusion.
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Affiliation(s)
- Yue Wang
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Hanbing Wang
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Tao Shi
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xueru Song
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xin Zhang
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yue Zhang
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xuan Wang
- Department of Oncology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Keying Che
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yuting Luo
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Lixia Yu
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Baorui Liu
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jia Wei
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
- Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.
- Engineering Research Center of Protein and Peptide Medicine, Nanjing University, Nanjing, China.
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3
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Flender D, Vilenne F, Adams C, Boonen K, Valkenborg D, Baggerman G. Exploring the dynamic landscape of immunopeptidomics: Unravelling posttranslational modifications and navigating bioinformatics terrain. MASS SPECTROMETRY REVIEWS 2024. [PMID: 39152539 DOI: 10.1002/mas.21905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 07/30/2024] [Accepted: 08/01/2024] [Indexed: 08/19/2024]
Abstract
Immunopeptidomics is becoming an increasingly important field of study. The capability to identify immunopeptides with pivotal roles in the human immune system is essential to shift the current curative medicine towards personalized medicine. Throughout the years, the field has matured, giving insight into the current pitfalls. Nowadays, it is commonly accepted that generalizing shotgun proteomics workflows is malpractice because immunopeptidomics faces numerous challenges. While many of these difficulties have been addressed, the road towards the ideal workflow remains complicated. Although the presence of Posttranslational modifications (PTMs) in the immunopeptidome has been demonstrated, their identification remains highly challenging despite their significance for immunotherapies. The large number of unpredictable modifications in the immunopeptidome plays a pivotal role in the functionality and these challenges. This review provides a comprehensive overview of the current advancements in immunopeptidomics. We delve into the challenges associated with identifying PTMs within the immunopeptidome, aiming to address the current state of the field.
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Affiliation(s)
- Daniel Flender
- Centre for Proteomics, University of Antwerp, Antwerpen, Belgium
- Health Unit, VITO, Mol, Belgium
| | - Frédérique Vilenne
- Health Unit, VITO, Mol, Belgium
- Data Science Institute, University of Hasselt, Hasselt, Belgium
| | - Charlotte Adams
- Department of Computer Science, University of Antwerp, Antwerp, Belgium
| | - Kurt Boonen
- Centre for Proteomics, University of Antwerp, Antwerpen, Belgium
- ImmuneSpec, Niel, Belgium
| | - Dirk Valkenborg
- Data Science Institute, University of Hasselt, Hasselt, Belgium
| | - Geert Baggerman
- Department of Computer Science, University of Antwerp, Antwerp, Belgium
- ImmuneSpec, Niel, Belgium
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4
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Kono M, Wakisaka R, Komatsuda H, Hayashi R, Kumai T, Yamaki H, Sato R, Nagato T, Ohkuri T, Kosaka A, Ohara K, Kishibe K, Kobayashi H, Hayashi T, Takahara M. Immunotherapy targeting tumor-associated antigen in a mouse model of head and neck cancer. Head Neck 2024; 46:2056-2067. [PMID: 38390628 DOI: 10.1002/hed.27703] [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: 10/19/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND The identification of epitope peptides from tumor-associated antigens (TAAs) is informative for developing tumor-specific immunotherapy. However, only a few epitopes have been detected in mouse TAAs of head and neck cancer (HNSCC). METHODS Novel mouse c-Met-derived T-cell epitopes were predicted by computer-based algorithms. Mouse HNSCC cell line-bearing mice were treated with a c-Met peptide vaccine. The effects of CD8 and/or CD4 T-cell depletion, and vaccine combination with immune checkpoint inhibitors (ICIs) were evaluated. Tumor re-inoculation was performed to assess T-cell memory. RESULTS We identified c-Met-derived short and long epitopes that elicited c-Met-reactive antitumor CD8 and/or CD4 T-cell responses. Vaccination using these peptides showed remarkable antitumor responses via T cells in which ICIs were not required. The c-Met peptide-vaccinated mice rejected the re-inoculated tumors. CONCLUSIONS We demonstrated that novel c-Met peptide vaccines can induce antitumor T-cell response, and could be a potent immunotherapy in a syngeneic mouse HNSCC model.
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Affiliation(s)
- Michihisa Kono
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Risa Wakisaka
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Hiroki Komatsuda
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Ryusuke Hayashi
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Takumi Kumai
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
- Department of Innovative Head & Neck Cancer Research and Treatment, Asahikawa Medical University, Asahikawa, Japan
| | - Hidekiyo Yamaki
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Ryosuke Sato
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Toshihiro Nagato
- Department of Pathology, Asahikawa Medical University, Asahikawa, Japan
| | - Takayuki Ohkuri
- Department of Pathology, Asahikawa Medical University, Asahikawa, Japan
| | - Akemi Kosaka
- Department of Pathology, Asahikawa Medical University, Asahikawa, Japan
| | - Kenzo Ohara
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Kan Kishibe
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Hiroya Kobayashi
- Department of Pathology, Asahikawa Medical University, Asahikawa, Japan
| | - Tatsuya Hayashi
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Miki Takahara
- Department of Otolaryngology-Head & Neck Surgery, Asahikawa Medical University, Asahikawa, Japan
- Department of Innovative Head & Neck Cancer Research and Treatment, Asahikawa Medical University, Asahikawa, Japan
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5
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Brandenburg A, Heine A, Brossart P. Next-generation cancer vaccines and emerging immunotherapy combinations. Trends Cancer 2024; 10:749-769. [PMID: 39048489 DOI: 10.1016/j.trecan.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 06/06/2024] [Accepted: 06/12/2024] [Indexed: 07/27/2024]
Abstract
Therapeutic cancer vaccines have been a subject of research for several decades as potential new weapons to tackle malignancies. Their goal is to induce a long-lasting and efficient antitumour-directed immune response, capable of mediating tumour regression, preventing tumour progression, and eradicating minimal residual disease, while avoiding major adverse effects. Development of new vaccine technologies and antigen prediction methods has led to significant improvements in cancer vaccine efficacy. However, for their successful clinical application, certain obstacles still need to be overcome, especially tumour-mediated immunosuppression and escape mechanisms. In this review, we introduce therapeutic cancer vaccines and subsequently discuss combination approaches of next-generation cancer vaccines and existing immunotherapies, particularly immune checkpoint inhibitors (ICIs) and adoptive cell transfer/cell-based immunotherapies.
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Affiliation(s)
- Anne Brandenburg
- Medical Clinic III of Oncology, Hematology, Rheumatology and Immune-Oncology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Annkristin Heine
- Medical Clinic III of Oncology, Hematology, Rheumatology and Immune-Oncology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Peter Brossart
- Medical Clinic III of Oncology, Hematology, Rheumatology and Immune-Oncology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany.
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6
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Liu B, Zhou H, Tan L, Siu KTH, Guan XY. Exploring treatment options in cancer: Tumor treatment strategies. Signal Transduct Target Ther 2024; 9:175. [PMID: 39013849 PMCID: PMC11252281 DOI: 10.1038/s41392-024-01856-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 07/18/2024] Open
Abstract
Traditional therapeutic approaches such as chemotherapy and radiation therapy have burdened cancer patients with onerous physical and psychological challenges. Encouragingly, the landscape of tumor treatment has undergone a comprehensive and remarkable transformation. Emerging as fervently pursued modalities are small molecule targeted agents, antibody-drug conjugates (ADCs), cell-based therapies, and gene therapy. These cutting-edge treatment modalities not only afford personalized and precise tumor targeting, but also provide patients with enhanced therapeutic comfort and the potential to impede disease progression. Nonetheless, it is acknowledged that these therapeutic strategies still harbour untapped potential for further advancement. Gaining a comprehensive understanding of the merits and limitations of these treatment modalities holds the promise of offering novel perspectives for clinical practice and foundational research endeavours. In this review, we discussed the different treatment modalities, including small molecule targeted drugs, peptide drugs, antibody drugs, cell therapy, and gene therapy. It will provide a detailed explanation of each method, addressing their status of development, clinical challenges, and potential solutions. The aim is to assist clinicians and researchers in gaining a deeper understanding of these diverse treatment options, enabling them to carry out effective treatment and advance their research more efficiently.
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Affiliation(s)
- Beilei Liu
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong, China
| | - Hongyu Zhou
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China
| | - Licheng Tan
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China
| | - Kin To Hugo Siu
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China
| | - Xin-Yuan Guan
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China.
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong, China.
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China.
- MOE Key Laboratory of Tumor Molecular Biology, Jinan University, Guangzhou, China.
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7
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Guasp P, Reiche C, Sethna Z, Balachandran VP. RNA vaccines for cancer: Principles to practice. Cancer Cell 2024; 42:1163-1184. [PMID: 38848720 DOI: 10.1016/j.ccell.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/29/2024] [Accepted: 05/06/2024] [Indexed: 06/09/2024]
Abstract
Vaccines are the most impactful medicines to improve health. Though potent against pathogens, vaccines for cancer remain an unfulfilled promise. However, recent advances in RNA technology coupled with scientific and clinical breakthroughs have spurred rapid discovery and potent delivery of tumor antigens at speed and scale, transforming cancer vaccines into a tantalizing prospect. Yet, despite being at a pivotal juncture, with several randomized clinical trials maturing in upcoming years, several critical questions remain: which antigens, tumors, platforms, and hosts can trigger potent immunity with clinical impact? Here, we address these questions with a principled framework of cancer vaccination from antigen detection to delivery. With this framework, we outline features of emergent RNA technology that enable rapid, robust, real-time vaccination with somatic mutation-derived neoantigens-an emerging "ideal" antigen class-and highlight latent features that have sparked the belief that RNA could realize the enduring vision for vaccines against cancer.
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Affiliation(s)
- Pablo Guasp
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlotte Reiche
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zachary Sethna
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vinod P Balachandran
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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8
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Yang W, Cao J, Di S, Chen W, Cheng H, Ren H, Xie Y, Chen L, Yu M, Chen Y, Cui X. Immunogenic Material Vaccine for Cancer Immunotherapy by Structure-Dependent Immune Cell Trafficking and Modulation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2402580. [PMID: 38630978 DOI: 10.1002/adma.202402580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/15/2024] [Indexed: 04/19/2024]
Abstract
Inherently immunogenic materials offer enormous prospects in enhancing vaccine efficacy. However, the understanding and improving material adjuvanticity remain elusive. Herein how the structural presentation of immunopotentiators in a material governs the dynamic dialogue between innate and adaptive immunity for enhanced cancer vaccination is reported. The immunopotentiator manganese into six differing structures that resemble the architectures of two types of pathogens (spherical viruses or rod-like bacteria) is precisely manipulated. The results reveal that innate immune cells accurately sense and respond to the architectures, of which two outperformed material candidates (151 nm hollow spheres and hollow microrods with an aspect ratio of 4.5) show higher competence in creating local proinflammatory environment with promoted innate immune cell influx and stimulation on dendritic cells (DCs). In combination with viral peptides, model proteins, or cell lysate antigens, the outperformed microrod material remarkably primes antigen-specific CD8 cytolytic T cells. In prophylactic and therapeutic regimens, the microrod adjuvanted vaccines display optimal aptitude in tumor suppression in four aggressive murine tumor models, by promoting the infiltration of heterogeneous cytolytic effector cells while decreasing suppressive immunoregulatory populations in tumors. This study demonstrates that a rationally selected architecture of immunogenic materials potentially advances the clinical reality of cancer vaccination.
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Affiliation(s)
- Wei Yang
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200092, P. R. China
| | - Jianwei Cao
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200092, P. R. China
| | - Sichen Di
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200092, P. R. China
| | - Wenjin Chen
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200092, P. R. China
| | - Hui Cheng
- Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Hongze Ren
- Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Yujie Xie
- Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Liang Chen
- Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Meihua Yu
- Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Yu Chen
- Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute of Shanghai University, Wenzhou, Zhejiang, 325088, P. R. China
- Shanghai Institute of Materdicine, Shanghai, 200051, P. R. China
| | - Xingang Cui
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200092, P. R. China
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9
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Jiang B, Elkashif A, Coulter JA, Dunne NJ, McCarthy HO. Immunotherapy for HPV negative head and neck squamous cell carcinoma. Biochim Biophys Acta Rev Cancer 2024; 1879:189138. [PMID: 38889878 DOI: 10.1016/j.bbcan.2024.189138] [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: 03/22/2024] [Revised: 06/02/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
Head and neck cancer (HNSCC) is the 8th most common cancer in the UK, with incidence increasing due to lifestyle factors such as tobacco and alcohol abuse. HNSCC is an immune-suppressive disease characterised by impaired cytokine secretion and dysregulation of immune infiltrate. As such, immunotherapy is a potential treatment option, with therapeutic cancer vaccination demonstrating the greatest potential. The success of cancer vaccination is dependent on informed antigen selection: an ideal antigen must be either tumour-specific or tumour-associated, as well as highly immunogenic. Stratification of the patient population for antigen expression and validated biomarkers are also vital. This review focuses on the latest developments in immunotherapy, specifically the development of therapeutic vaccines, and highlights successes, potential drawbacks and areas for future development. Immunotherapy approaches considered for HNSCC include monoclonal antibodies (mAb), Oncolytic viral (OV) therapies, Immune Checkpoint Inhibitors (ICIs) and cancer vaccines.
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Affiliation(s)
- Binyumeng Jiang
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK
| | - Ahmed Elkashif
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK
| | - Jonathan A Coulter
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK
| | - Nicholas J Dunne
- School of Mechanical and Manufacturing Engineering, Dublin City University, Dublin 9, Ireland
| | - Helen O McCarthy
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK.
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10
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Iyer K, Ivanov J, Tenchov R, Ralhan K, Rodriguez Y, Sasso JM, Scott S, Zhou QA. Emerging Targets and Therapeutics in Immuno-Oncology: Insights from Landscape Analysis. J Med Chem 2024; 67:8519-8544. [PMID: 38787632 PMCID: PMC11181335 DOI: 10.1021/acs.jmedchem.4c00568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/03/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024]
Abstract
In the ever-evolving landscape of cancer research, immuno-oncology stands as a beacon of hope, offering novel avenues for treatment. This study capitalizes on the vast repository of immuno-oncology-related scientific documents within the CAS Content Collection, totaling over 350,000, encompassing journals and patents. Through a pioneering approach melding natural language processing with the CAS indexing system, we unveil over 300 emerging concepts, depicted in a comprehensive "Trend Landscape Map". These concepts, spanning therapeutic targets, biomarkers, and types of cancers among others, are hierarchically organized into eight major categories. Delving deeper, our analysis furnishes detailed quantitative metrics showcasing growth trends over the past three years. Our findings not only provide valuable insights for guiding future research endeavors but also underscore the merit of tapping the vast and unparalleled breadth of existing scientific information to derive profound insights.
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Affiliation(s)
| | - Julian Ivanov
- CAS,
A Division of the American Chemical Society, Columbus, Ohio 43210, United States
| | - Rumiana Tenchov
- CAS,
A Division of the American Chemical Society, Columbus, Ohio 43210, United States
| | | | - Yacidzohara Rodriguez
- CAS,
A Division of the American Chemical Society, Columbus, Ohio 43210, United States
| | - Janet M. Sasso
- CAS,
A Division of the American Chemical Society, Columbus, Ohio 43210, United States
| | - Sabina Scott
- CAS,
A Division of the American Chemical Society, Columbus, Ohio 43210, United States
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11
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Hu Z, Guo X, Li Z, Meng Z, Huang S. The neoantigens derived from transposable elements - A hidden treasure for cancer immunotherapy. Biochim Biophys Acta Rev Cancer 2024; 1879:189126. [PMID: 38849060 DOI: 10.1016/j.bbcan.2024.189126] [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: 01/16/2024] [Revised: 05/26/2024] [Accepted: 06/02/2024] [Indexed: 06/09/2024]
Abstract
Neoantigen-based therapy is a promising approach that selectively activates the immune system of the host to recognize and eradicate cancer cells. Preliminary clinical trials have validated the feasibility, safety, and immunogenicity of personalized neoantigen-directed vaccines, enhancing their effectiveness and broad applicability in immunotherapy. While many ongoing oncological trials concentrate on neoantigens derived from mutations, these targets do not consistently provoke an immune response in all patients harboring the mutations. Additionally, tumors like ovarian cancer, which have a low tumor mutational burden (TMB), may be less amenable to mutation-based neoantigen therapies. Recent advancements in next-generation sequencing and bioinformatics have uncovered a rich source of neoantigens from non-canonical RNAs associated with transposable elements (TEs). Considering the substantial presence of TEs in the human genome and the proven immunogenicity of TE-derived neoantigens in various tumor types, this review investigates the latest findings on TE-derived neoantigens, examining their clinical implications, challenges, and unique advantages in enhancing tumor immunotherapy.
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Affiliation(s)
- Zhixiang Hu
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xinyi Guo
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ziteng Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhiqiang Meng
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Shenglin Huang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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12
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Alviano AM, Biondi M, Grassenis E, Biondi A, Serafini M, Tettamanti S. Fully equipped CARs to address tumor heterogeneity, enhance safety, and improve the functionality of cellular immunotherapies. Front Immunol 2024; 15:1407992. [PMID: 38887285 PMCID: PMC11180895 DOI: 10.3389/fimmu.2024.1407992] [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: 03/27/2024] [Accepted: 05/15/2024] [Indexed: 06/20/2024] Open
Abstract
Although adoptive transfer of chimeric antigen receptor (CAR)-engineered T cells has achieved unprecedented response rates in patients with certain hematological malignancies, this therapeutic modality is still far from fulfilling its remarkable potential, especially in the context of solid cancers. Antigen escape variants, off-tumor destruction of healthy tissues expressing tumor-associated antigens (TAAs), poor CAR-T cell persistence, and the occurrence of functional exhaustion represent some of the most prominent hurdles that limit CAR-T cell ability to induce long-lasting remissions with a tolerable adverse effect profile. In this review, we summarize the main approaches that have been developed to face such bottlenecks, including the adapter CAR (AdCAR) system, Boolean-logic gating, epitope editing, the modulation of cell-intrinsic signaling pathways, and the incorporation of safety switches to precisely control CAR-T cell activation. We also discuss the most pressing issues pertaining to the selection of co-stimulatory domains, with a focus on strategies aimed at promoting CAR-T cell persistence and optimal antitumor functionality.
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Affiliation(s)
- Antonio Maria Alviano
- Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Marta Biondi
- Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Erica Grassenis
- Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Andrea Biondi
- Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Marta Serafini
- Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Sarah Tettamanti
- Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
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13
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Butterfield LH, Najjar YG. Immunotherapy combination approaches: mechanisms, biomarkers and clinical observations. Nat Rev Immunol 2024; 24:399-416. [PMID: 38057451 DOI: 10.1038/s41577-023-00973-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 12/08/2023]
Abstract
The approval of the first immune checkpoint inhibitors provided a paradigm shift for the treatment of malignancies across a broad range of indications. Whereas initially, single-agent immune checkpoint inhibition was used, increasing numbers of patients are now treated with combination immune checkpoint blockade, where non-redundant mechanisms of action of the individual agents generally lead to higher response rates. Furthermore, immune checkpoint therapy has been combined with various other therapeutic modalities, including chemotherapy, radiotherapy and other immunotherapeutics such as vaccines, adoptive cellular therapies, cytokines and others, in an effort to maximize clinical efficacy. Currently, a large number of clinical trials test combination therapies with an immune checkpoint inhibitor as a backbone. However, proceeding without inclusion of broad, if initially exploratory, biomarker investigations may ultimately slow progress, as so far, few combinations have yielded clinical successes based on clinical data alone. Here, we present the rationale for combination therapies and discuss clinical data from clinical trials across the immuno-oncology spectrum. Moreover, we discuss the evolution of biomarker approaches and highlight the potential new directions that comprehensive biomarker studies can yield.
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Affiliation(s)
- Lisa H Butterfield
- University of California San Francisco, Microbiology and Immunology, San Francisco, CA, USA.
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14
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Houlahan KE, Khan A, Greenwald NF, Vivas CS, West RB, Angelo M, Curtis C. Germline-mediated immunoediting sculpts breast cancer subtypes and metastatic proclivity. Science 2024; 384:eadh8697. [PMID: 38815010 DOI: 10.1126/science.adh8697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 04/05/2024] [Indexed: 06/01/2024]
Abstract
Tumors with the same diagnosis can have different molecular profiles and response to treatment. It remains unclear when and why these differences arise. Somatic genomic aberrations occur within the context of a highly variable germline genome. Interrogating 5870 breast cancer lesions, we demonstrated that germline-derived epitopes in recurrently amplified genes influence somatic evolution by mediating immunoediting. Individuals with a high germline-epitope burden in human epidermal growth factor receptor 2 (HER2/ERBB2) are less likely to develop HER2-positive breast cancer compared with other subtypes. The same holds true for recurrent amplicons defining three aggressive estrogen receptor (ER)-positive subgroups. Tumors that overcome such immune-mediated negative selection are more aggressive and demonstrate an "immune cold" phenotype. These data show that the germline genome plays a role in dictating somatic evolution.
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Affiliation(s)
- Kathleen E Houlahan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Aziz Khan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Noah F Greenwald
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | | | - Robert B West
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Michael Angelo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Christina Curtis
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
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15
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Hesnard L, Thériault C, Cahuzac M, Durette C, Vincent K, Hardy MP, Lanoix J, Lavallée GO, Humeau J, Thibault P, Perreault C. Immunogenicity of Non-Mutated Ovarian Cancer-Specific Antigens. Curr Oncol 2024; 31:3099-3121. [PMID: 38920720 PMCID: PMC11203340 DOI: 10.3390/curroncol31060236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Epithelial ovarian cancer (EOC) has not significantly benefited from advances in immunotherapy, mainly because of the lack of well-defined actionable antigen targets. Using proteogenomic analyses of primary EOC tumors, we previously identified 91 aberrantly expressed tumor-specific antigens (TSAs) originating from unmutated genomic sequences. Most of these TSAs derive from non-exonic regions, and their expression results from cancer-specific epigenetic changes. The present study aimed to evaluate the immunogenicity of 48 TSAs selected according to two criteria: presentation by highly prevalent HLA allotypes and expression in a significant fraction of EOC tumors. Using targeted mass spectrometry analyses, we found that pulsing with synthetic TSA peptides leads to a high-level presentation on dendritic cells. TSA abundance correlated with the predicted binding affinity to the HLA allotype. We stimulated naïve CD8 T cells from healthy blood donors with TSA-pulsed dendritic cells and assessed their expansion with two assays: MHC-peptide tetramer staining and TCR Vβ CDR3 sequencing. We report that these TSAs can expand sizeable populations of CD8 T cells and, therefore, represent attractive targets for EOC immunotherapy.
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Affiliation(s)
- Leslie Hesnard
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Catherine Thériault
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Maxime Cahuzac
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Chantal Durette
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Krystel Vincent
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Marie-Pierre Hardy
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Joël Lanoix
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Gabriel Ouellet Lavallée
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Juliette Humeau
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
- Department of Chemistry, University of Montreal, Montreal, QC H2V 0B3, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), University of Montreal, Montreal, QC H3T 1J4, Canada; (L.H.); (C.T.); (M.C.); (C.D.); (K.V.); (M.-P.H.); (J.L.); (G.O.L.); (J.H.); (P.T.)
- Department of Medicine, University of Montreal, Montreal, QC H3C 3J7, Canada
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16
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Lang F, Sorn P, Suchan M, Henrich A, Albrecht C, Köhl N, Beicht A, Riesgo-Ferreiro P, Holtsträter C, Schrörs B, Weber D, Löwer M, Sahin U, Ibn-Salem J. Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates. BIOINFORMATICS ADVANCES 2024; 4:vbae080. [PMID: 38863673 PMCID: PMC11165244 DOI: 10.1093/bioadv/vbae080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/26/2024] [Accepted: 05/28/2024] [Indexed: 06/13/2024]
Abstract
Motivation Neoantigens are promising targets for cancer immunotherapies and might arise from alternative splicing. However, detecting tumor-specific splicing is challenging because many non-canonical splice junctions identified in tumors also appear in healthy tissues. To increase tumor-specificity, we focused on splicing caused by somatic mutations as a source for neoantigen candidates in individual patients. Results We developed the tool splice2neo with multiple functionalities to integrate predicted splice effects from somatic mutations with splice junctions detected in tumor RNA-seq and to annotate the resulting transcript and peptide sequences. Additionally, we provide the tool EasyQuant for targeted RNA-seq read mapping to candidate splice junctions. Using a stringent detection rule, we predicted 1.7 splice junctions per patient as splice targets with a false discovery rate below 5% in a melanoma cohort. We confirmed tumor-specificity using independent, healthy tissue samples. Furthermore, using tumor-derived RNA, we confirmed individual exon-skipping events experimentally. Most target splice junctions encoded neoepitope candidates with predicted major histocompatibility complex (MHC)-I or MHC-II binding. Compared to neoepitope candidates from non-synonymous point mutations, the splicing-derived MHC-I neoepitope candidates had lower self-similarity to corresponding wild-type peptides. In conclusion, we demonstrate that identifying mutation-derived, tumor-specific splice junctions can lead to additional neoantigen candidates to expand the target repertoire for cancer immunotherapies. Availability and implementation The R package splice2neo and the python package EasyQuant are available at https://github.com/TRON-Bioinformatics/splice2neo and https://github.com/TRON-Bioinformatics/easyquant, respectively.
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Affiliation(s)
- Franziska Lang
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
- Faculty of Biology, Johannes Gutenberg University Mainz, Mainz 55128, Germany
| | - Patrick Sorn
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Martin Suchan
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Alina Henrich
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Christian Albrecht
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Nina Köhl
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Aline Beicht
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Pablo Riesgo-Ferreiro
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Christoph Holtsträter
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Barbara Schrörs
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - David Weber
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Martin Löwer
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
| | - Ugur Sahin
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
- BioNTech SE, Mainz 55131, Germany
- Institute of Immunology, University Medical Center of the Johannes-Gutenberg University, Mainz 55131, Germany
| | - Jonas Ibn-Salem
- TRON—Translational Oncology at the University Medical Center of Johannes Gutenberg University Mainz gGmbH, Mainz 55131, Germany
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17
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Eralp B, Sefer E. Reference-free inferring of transcriptomic events in cancer cells on single-cell data. BMC Cancer 2024; 24:607. [PMID: 38769480 PMCID: PMC11107047 DOI: 10.1186/s12885-024-12331-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/02/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Cancerous cells' identity is determined via a mixture of multiple factors such as genomic variations, epigenetics, and the regulatory variations that are involved in transcription. The differences in transcriptome expression as well as abnormal structures in peptides determine phenotypical differences. Thus, bulk RNA-seq and more recent single-cell RNA-seq data (scRNA-seq) are important to identify pathogenic differences. In this case, we rely on k-mer decomposition of sequences to identify pathogenic variations in detail which does not need a reference, so it outperforms more traditional Next-Generation Sequencing (NGS) analysis techniques depending on the alignment of the sequences to a reference. RESULTS Via our alignment-free analysis, over esophageal and glioblastoma cancer patients, high-frequency variations over multiple different locations (repeats, intergenic regions, exons, introns) as well as multiple different forms (fusion, polyadenylation, splicing, etc.) could be discovered. Additionally, we have analyzed the importance of less-focused events systematically in a classic transcriptome analysis pipeline where these events are considered as indicators for tumor prognosis, tumor prediction, tumor neoantigen inference, as well as their connection with respect to the immune microenvironment. CONCLUSIONS Our results suggest that esophageal cancer (ESCA) and glioblastoma processes can be explained via pathogenic microbial RNA, repeated sequences, novel splicing variants, and long intergenic non-coding RNAs (lincRNAs). We expect our application of reference-free process and analysis to be helpful in tumor and normal samples differential scRNA-seq analysis, which in turn offers a more comprehensive scheme for major cancer-associated events.
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Affiliation(s)
- Batuhan Eralp
- Department of Computer Science, Ozyegin University, Istanbul, Turkey
| | - Emre Sefer
- Department of Computer Science, Ozyegin University, Istanbul, Turkey.
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18
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Zhang Y, Zhao H, Deng W, Lai J, Sang K, Chen Q. Zebularine potentiates anti-tumor immunity by inducing tumor immunogenicity and improving antigen processing through cGAS-STING pathway. Commun Biol 2024; 7:587. [PMID: 38755254 PMCID: PMC11099016 DOI: 10.1038/s42003-024-06271-w] [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: 08/04/2023] [Accepted: 04/30/2024] [Indexed: 05/18/2024] Open
Abstract
DNA methylation is an important epigenetic mechanism involved in the anti-tumor immune response, and DNA methyltransferase inhibitors (DNMTi) have achieved impressive therapeutic outcomes in patients with certain cancer types. However, it is unclear how inhibition of DNA methylation bridges the innate and adaptive immune responses to inhibit tumor growth. Here, we report that DNMTi zebularine reconstructs tumor immunogenicity, in turn promote dendritic cell maturation, antigen-presenting cell activity, tumor cell phagocytosis by APCs, and efficient T cell priming. Further in vivo and in vitro analyses reveal that zebularine stimulates cGAS-STING-NF-κB/IFNβ signaling to enhance tumor cell immunogenicity and upregulate antigen processing and presentation machinery (AgPPM), which promotes effective CD4+ and CD8+ T cell-mediated killing of tumor cells. These findings support the use of combination regimens that include DNMTi and immunotherapy for cancer treatment.
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Affiliation(s)
- Yong Zhang
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
- College of Life Science, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
| | - Heng Zhao
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
- College of Life Science, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
| | - Weili Deng
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
- College of Life Science, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
| | - Junzhong Lai
- The Cancer Center, Union Hospital, Fujian Medical University, Fuzhou, Fujian Province, 350117, China
| | - Kai Sang
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
- College of Life Science, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China
| | - Qi Chen
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China.
- College of Life Science, Fujian Normal University Qishan Campus, Fuzhou, Fujian Province, 350117, China.
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19
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Fuchs KJ, van de Meent M, Honders MW, Khatri I, Kester MGD, Koster EAS, Koutsoumpli G, de Ru AH, van Bergen CAM, van Veelen PA, ’t Hoen PAC, van Balen P, van den Akker EB, Veelken JH, Halkes CJM, Falkenburg JHF, Griffioen M. Expanding the repertoire reveals recurrent, cryptic, and hematopoietic HLA class I minor histocompatibility antigens. Blood 2024; 143:1856-1872. [PMID: 38427583 PMCID: PMC11076866 DOI: 10.1182/blood.2023022343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 03/03/2024] Open
Abstract
ABSTRACT Allogeneic stem cell transplantation (alloSCT) is a curative treatment for hematological malignancies. After HLA-matched alloSCT, antitumor immunity is caused by donor T cells recognizing polymorphic peptides, designated minor histocompatibility antigens (MiHAs), that are presented by HLA on malignant patient cells. However, T cells often target MiHAs on healthy nonhematopoietic tissues of patients, thereby inducing side effects known as graft-versus-host disease. Here, we aimed to identify the dominant repertoire of HLA-I-restricted MiHAs to enable strategies to predict, monitor or modulate immune responses after alloSCT. To systematically identify novel MiHAs by genome-wide association screening, T-cell clones were isolated from 39 transplanted patients and tested for reactivity against 191 Epstein-Barr virus transformed B cell lines of the 1000 Genomes Project. By discovering 81 new MiHAs, we more than doubled the antigen repertoire to 159 MiHAs and demonstrated that, despite many genetic differences between patients and donors, often the same MiHAs are targeted in multiple patients. Furthermore, we showed that one quarter of the antigens are cryptic, that is translated from unconventional open reading frames, for example long noncoding RNAs, showing that these antigen types are relevant targets in natural immune responses. Finally, using single cell RNA-seq data, we analyzed tissue expression of MiHA-encoding genes to explore their potential role in clinical outcome, and characterized 11 new hematopoietic-restricted MiHAs as potential targets for immunotherapy. In conclusion, we expanded the repertoire of HLA-I-restricted MiHAs and identified recurrent, cryptic and hematopoietic-restricted antigens, which are fundamental to predict, follow or manipulate immune responses to improve clinical outcome after alloSCT.
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Affiliation(s)
- Kyra J. Fuchs
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian van de Meent
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - M. Willy Honders
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michel G. D. Kester
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Eva A. S. Koster
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Georgia Koutsoumpli
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Arnoud H. de Ru
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Peter A. van Veelen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter A. C. ’t Hoen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter van Balen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik B. van den Akker
- Center for Computational Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - J. Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Marieke Griffioen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
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Mitra A, Kumar A, Amdare NP, Pathak R. Current Landscape of Cancer Immunotherapy: Harnessing the Immune Arsenal to Overcome Immune Evasion. BIOLOGY 2024; 13:307. [PMID: 38785789 PMCID: PMC11118874 DOI: 10.3390/biology13050307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024]
Abstract
Cancer immune evasion represents a leading hallmark of cancer, posing a significant obstacle to the development of successful anticancer therapies. However, the landscape of cancer treatment has significantly evolved, transitioning into the era of immunotherapy from conventional methods such as surgical resection, radiotherapy, chemotherapy, and targeted drug therapy. Immunotherapy has emerged as a pivotal component in cancer treatment, harnessing the body's immune system to combat cancer and offering improved prognostic outcomes for numerous patients. The remarkable success of immunotherapy has spurred significant efforts to enhance the clinical efficacy of existing agents and strategies. Several immunotherapeutic approaches have received approval for targeted cancer treatments, while others are currently in preclinical and clinical trials. This review explores recent progress in unraveling the mechanisms of cancer immune evasion and evaluates the clinical effectiveness of diverse immunotherapy strategies, including cancer vaccines, adoptive cell therapy, and antibody-based treatments. It encompasses both established treatments and those currently under investigation, providing a comprehensive overview of efforts to combat cancer through immunological approaches. Additionally, the article emphasizes the current developments, limitations, and challenges in cancer immunotherapy. Furthermore, by integrating analyses of cancer immunotherapy resistance mechanisms and exploring combination strategies and personalized approaches, it offers valuable insights crucial for the development of novel anticancer immunotherapeutic strategies.
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Affiliation(s)
- Ankita Mitra
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY 10016, USA
| | - Anoop Kumar
- Molecular Diagnostic Laboratory, National Institute of Biologicals, Noida 201309, Uttar Pradesh, India
| | - Nitin P. Amdare
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| | - Rajiv Pathak
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
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21
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Emilius L, Bremm F, Binder AK, Schaft N, Dörrie J. Tumor Antigens beyond the Human Exome. Int J Mol Sci 2024; 25:4673. [PMID: 38731892 PMCID: PMC11083240 DOI: 10.3390/ijms25094673] [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: 03/27/2024] [Revised: 04/18/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024] Open
Abstract
With the advent of immunotherapeutics, a new era in the combat against cancer has begun. Particularly promising are neo-epitope-targeted therapies as the expression of neo-antigens is tumor-specific. In turn, this allows the selective targeting and killing of cancer cells whilst healthy cells remain largely unaffected. So far, many advances have been made in the development of treatment options which are tailored to the individual neo-epitope repertoire. The next big step is the achievement of efficacious "off-the-shelf" immunotherapies. For this, shared neo-epitopes propose an optimal target. Given the tremendous potential, a thorough understanding of the underlying mechanisms which lead to the formation of neo-antigens is of fundamental importance. Here, we review the various processes which result in the formation of neo-epitopes. Broadly, the origin of neo-epitopes can be categorized into three groups: canonical, noncanonical, and viral neo-epitopes. For the canonical neo-antigens that arise in direct consequence of somatic mutations, we summarize past and recent findings. Beyond that, our main focus is put on the discussion of noncanonical and viral neo-epitopes as we believe that targeting those provides an encouraging perspective to shape the future of cancer immunotherapeutics.
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Affiliation(s)
- Lisabeth Emilius
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (L.E.); (F.B.); (A.K.B.); (J.D.)
- Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg (CCC ER-EMN), 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), 91054 Erlangen, Germany
| | - Franziska Bremm
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (L.E.); (F.B.); (A.K.B.); (J.D.)
- Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg (CCC ER-EMN), 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), 91054 Erlangen, Germany
| | - Amanda Katharina Binder
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (L.E.); (F.B.); (A.K.B.); (J.D.)
- Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg (CCC ER-EMN), 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), 91054 Erlangen, Germany
| | - Niels Schaft
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (L.E.); (F.B.); (A.K.B.); (J.D.)
- Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg (CCC ER-EMN), 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), 91054 Erlangen, Germany
| | - Jan Dörrie
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (L.E.); (F.B.); (A.K.B.); (J.D.)
- Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg (CCC ER-EMN), 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), 91054 Erlangen, Germany
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22
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Zou J, Zhang Y, Pan Y, Mao Z, Chen X. Advancing nanotechnology for neoantigen-based cancer theranostics. Chem Soc Rev 2024; 53:3224-3252. [PMID: 38379286 DOI: 10.1039/d3cs00162h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Neoantigens play a pivotal role in the field of tumour therapy, encompassing the stimulation of anti-tumour immune response and the enhancement of tumour targeting capability. Nonetheless, numerous factors directly influence the effectiveness of neoantigens in bolstering anti-tumour immune responses, including neoantigen quantity and specificity, uptake rates by antigen-presenting cells (APCs), residence duration within the tumour microenvironment (TME), and their ability to facilitate the maturation of APCs for immune response activation. Nanotechnology assumes a significant role in several aspects, including facilitating neoantigen release, promoting neoantigen delivery to antigen-presenting cells, augmenting neoantigen uptake by dendritic cells, shielding neoantigens from protease degradation, and optimizing interactions between neoantigens and the immune system. Consequently, the development of nanotechnology synergistically enhances the efficacy of neoantigens in cancer theranostics. In this review, we provide an overview of neoantigen sources, the mechanisms of neoantigen-induced immune responses, and the evolution of precision neoantigen-based nanomedicine. This encompasses various therapeutic modalities, such as neoantigen-based immunotherapy, phototherapy, radiotherapy, chemotherapy, chemodynamic therapy, and other strategies tailored to augment precision in cancer therapeutics. We also discuss the current challenges and prospects in the application of neoantigen-based precision nanomedicine, aiming to expedite its clinical translation.
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Affiliation(s)
- Jianhua Zou
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Yu Zhang
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Yuanbo Pan
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Zhengwei Mao
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China.
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310009, P. R. China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumour of Zhejiang Province, Hangzhou, Zhejiang 310009, P. R. China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Singapore
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23
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Kawakita S, Shen A, Chao CC, Wang Z, Cheng S, Li B, Jiang C. An integrated database of experimentally validated major histocompatibility complex epitopes for antigen-specific cancer therapy. Antib Ther 2024; 7:177-186. [PMID: 38933532 PMCID: PMC11200702 DOI: 10.1093/abt/tbae011] [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: 01/26/2024] [Revised: 04/18/2024] [Indexed: 06/28/2024] Open
Abstract
Cancer immunotherapy represents a paradigm shift in oncology, offering a superior anti-tumor efficacy and the potential for durable remission. The success of personalized vaccines and cell therapies hinges on the identification of immunogenic epitopes capable of eliciting an effective immune response. Current limitations in the availability of immunogenic epitopes restrict the broader application of such therapies. A critical criterion for serving as potential cancer antigens is their ability to stably bind to the major histocompatibility complex (MHC) for presentation on the surface of tumor cells. To address this, we have developed a comprehensive database of MHC epitopes, experimentally validated for their MHC binding and cell surface presentation. Our database catalogs 451 065 MHC peptide epitopes, each with experimental evidence for MHC binding, along with detailed information on human leukocyte antigen allele specificity, source peptides, and references to original studies. We also provide the grand average of hydropathy scores and predicted immunogenicity for the epitopes. The database (MHCepitopes) has been made available on the web and can be accessed at https://github.com/jcm1201/MHCepitopes.git. By consolidating empirical data from various sources coupled with calculated immunogenicity and hydropathy values, our database offers a robust resource for selecting actionable tumor antigens and advancing the design of antigen-specific cancer immunotherapies. It streamlines the process of identifying promising immunotherapeutic targets, potentially expediting the development of effective antigen-based cancer immunotherapies.
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Affiliation(s)
- Satoru Kawakita
- Department of Precision Medicine, Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, United States
| | - Aidan Shen
- Department of Precision Medicine, Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, United States
| | - Cheng-Chi Chao
- Department of Pipeline Development, Biomap, Inc., Palo Alto, CA 94303, United States
| | - Zhaohui Wang
- Department of Precision Medicine, Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, United States
| | - Siliangyu Cheng
- Quantitative and Computational Biology Department, University of Southern California, Los Angeles, CA 90089, United States
| | - Bingbing Li
- Autonomy Research Center for STEAHM (ARCS), California State University Northridge, Northridge, CA 91324, United States
| | - Chongming Jiang
- Department of Precision Medicine, Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, United States
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24
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Ke Y, Xin K, Tao Y, Li L, Chen A, Shao J, Zhu J, Zhang D, Cen L, Chu Y, Yu L, Liu B, Liu Q. A Thermosensitive Bi-Adjuvant Hydrogel Triggers Epitope Spreading to Promote the Anti-Tumor Efficacy of Frameshift Neoantigens. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306889. [PMID: 38308098 PMCID: PMC11005695 DOI: 10.1002/advs.202306889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/09/2024] [Indexed: 02/04/2024]
Abstract
Tumor-specific frameshift mutations encoding peptides (FSPs) are highly immunogenic neoantigens for personalized cancer immunotherapy, while their clinical efficacy is limited by immunosuppressive tumor microenvironment (TME) and self-tolerance. Here, a thermosensitive hydrogel (FSP-RZ-BPH) delivering dual adjuvants R848 (TLR7/8 agonist) + Zn2+ (cGAS-STING agonist) is designed to promote the efficacy of FSPs on murine forestomach cancer (MFC). After peritumoral injection, FSP-RZ-BPH behaves as pH-responsive sustained drug release at sites near the tumor to effectively transform the immunosuppressive TME into an inflammatory type. FSP-RZ-BPH orchestrates innate and adaptive immunity to activate dendritic cells in tumor-draining lymph nodes and increase the number of FSPs-reactive effector memory T cells (TEM) in tumor by 2.9 folds. More importantly, these TEM also exhibit memory responses to nonvaccinated neoantigens on MFC. This epitope spreading effect contributes to reduce self-tolerance to maintain long-lasting anti-tumor immunity. In MFC suppressive model, FSP-RZ-BPH achieves 84.8% tumor inhibition rate and prolongs the survival of tumor-bearing mice with 57.1% complete response rate. As a preventive tumor vaccine, FSP-RZ-BPH can also significantly delay tumor growth. Overall, the work identifies frameshift MFC neoantigens for the first time and demonstrates the thermosensitive bi-adjuvant hydrogel as an effective strategy to boost bystander anti-tumor responses of frameshift neoantigens.
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Affiliation(s)
- Yaohua Ke
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Kai Xin
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Yaping Tao
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Lin Li
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Aoxing Chen
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Jingyi Shao
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Junmeng Zhu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Dinghu Zhang
- Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM)Chinese Academy of SciencesHangzhou310022China
| | - Lanqi Cen
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Yanhong Chu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Lixia Yu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Baorui Liu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Qin Liu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
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25
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Manoutcharian K, Gevorkian G. Are we getting closer to a successful neoantigen cancer vaccine? Mol Aspects Med 2024; 96:101254. [PMID: 38354548 DOI: 10.1016/j.mam.2024.101254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 02/16/2024]
Abstract
Although significant advances in immunotherapy have revolutionized the treatment of many cancer types over the past decade, the field of vaccine therapy, an important component of cancer immunotherapy, despite decades-long intense efforts, is still transmitting signals of promises and awaiting strong data on efficacy to proceed with regulatory approval. The field of cancer vaccines faces standard challenges, such as tumor-induced immunosuppression, immune response in inhibitory tumor microenvironment (TME), intratumor heterogeneity (ITH), permanently evolving cancer mutational landscape leading to neoantigens, and less known obstacles: neoantigen gain/loss upon immunotherapy, the timing and speed of appearance of neoantigens and responding T cell clonotypes and possible involvement of immune interference/heterologous immunity, in the complex interplay between evolving tumor epitopes and the immune system. In this review, we discuss some key issues related to challenges hampering the development of cancer vaccines, along with the current approaches focusing on neoantigens. We summarize currently well-known ideas/rationales, thus revealing the need for alternative vaccine approaches. Such a discussion should stimulate vaccine researchers to apply out-of-box, unconventional thinking in search of new avenues to deal with critical, often yet unaddressed challenges on the road to a new generation of therapeutics and vaccines.
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Affiliation(s)
- Karen Manoutcharian
- Instituto de Investigaciones Biomedicas, Universidad Nacional Autonoma de Mexico (UNAM), CDMX, Apartado Postal 70228, Cuidad Universitaria, Mexico DF, CP, 04510, Mexico.
| | - Goar Gevorkian
- Instituto de Investigaciones Biomedicas, Universidad Nacional Autonoma de Mexico (UNAM), CDMX, Apartado Postal 70228, Cuidad Universitaria, Mexico DF, CP, 04510, Mexico.
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26
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Lin Y, Ma J, Yuan H, Chen Z, Xu X, Jiang M, Zhu J, Meng W, Qiu W, Liu Y. Integrating Reinforcement Learning and Monte Carlo Tree Search for enhanced neoantigen vaccine design. Brief Bioinform 2024; 25:bbae247. [PMID: 38770719 PMCID: PMC11107383 DOI: 10.1093/bib/bbae247] [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: 03/04/2024] [Revised: 04/26/2024] [Accepted: 05/07/2024] [Indexed: 05/22/2024] Open
Abstract
Recent advances in cancer immunotherapy have highlighted the potential of neoantigen-based vaccines. However, the design of such vaccines is hindered by the possibility of weak binding affinity between the peptides and the patient's specific human leukocyte antigen (HLA) alleles, which may not elicit a robust adaptive immune response. Triggering cross-immunity by utilizing peptide mutations that have enhanced binding affinity to target HLA molecules, while preserving their homology with the original one, can be a promising avenue for neoantigen vaccine design. In this study, we introduced UltraMutate, a novel algorithm that combines Reinforcement Learning and Monte Carlo Tree Search, which identifies peptide mutations that not only exhibit enhanced binding affinities to target HLA molecules but also retains a high degree of homology with the original neoantigen. UltraMutate outperformed existing state-of-the-art methods in identifying affinity-enhancing mutations in an independent test set consisting of 3660 peptide-HLA pairs. UltraMutate further showed its applicability in the design of peptide vaccines for Human Papillomavirus and Human Cytomegalovirus, demonstrating its potential as a promising tool in the advancement of personalized immunotherapy.
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Affiliation(s)
- Yicheng Lin
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Jiakang Ma
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Haozhe Yuan
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Ziqiang Chen
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Xingyu Xu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Mengping Jiang
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Jialiang Zhu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Weida Meng
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Wenqing Qiu
- Shanghai Xuhui Central Hospital, 366 North Longchuan Road, Shanghai, 200231, China
| | - Yun Liu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
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27
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Zhang W, Sun S, Zhu W, Meng D, Hu W, Yang S, Gao M, Yao P, Wang Y, Wang Q, Ji J. Birinapant Reshapes the Tumor Immunopeptidome and Enhances Antigen Presentation. Int J Mol Sci 2024; 25:3660. [PMID: 38612472 PMCID: PMC11011986 DOI: 10.3390/ijms25073660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
Birinapant, an antagonist of the inhibitor of apoptosis proteins, upregulates MHCs in tumor cells and displays a better tumoricidal effect when used in combination with immune checkpoint inhibitors, indicating that Birinapant may affect the antigen presentation pathway; however, the mechanism remains elusive. Based on high-resolution mass spectrometry and in vitro and in vivo models, we adopted integrated genomics, proteomics, and immunopeptidomics strategies to study the mechanism underlying the regulation of tumor immunity by Birinapant from the perspective of antigen presentation. Firstly, in HT29 and MCF7 cells, Birinapant increased the number and abundance of immunopeptides and source proteins. Secondly, a greater number of cancer/testis antigen peptides with increased abundance and more neoantigens were identified following Birinapant treatment. Moreover, we demonstrate the existence and immunogenicity of a neoantigen derived from insertion/deletion mutation. Thirdly, in HT29 cell-derived xenograft models, Birinapant administration also reshaped the immunopeptidome, and the tumor exhibited better immunogenicity. These data suggest that Birinapant can reshape the tumor immunopeptidome with respect to quality and quantity, which improves the presentation of CTA peptides and neoantigens, thus enhancing the immunogenicity of tumor cells. Such changes may be vital to the effectiveness of combination therapy, which can be further transferred to the clinic or aid in the development of new immunotherapeutic strategies to improve the anti-tumor immune response.
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Affiliation(s)
- Weiyan Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Shenghuan Sun
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA;
| | - Wenyuan Zhu
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Delan Meng
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Weiyi Hu
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Siqi Yang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Mingjie Gao
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Pengju Yao
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Yuhao Wang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Qingsong Wang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
| | - Jianguo Ji
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (W.Z.)
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28
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Wang J, Suh JM, Woo BJ, Navickas A, Garcia K, Yin K, Fish L, Cavazos T, Hänisch B, Markett D, Yu S, Hirst G, Brown-Swigart L, Esserman LJ, van ‘t Veer LJ, Goodarzi H. Systematic annotation of orphan RNAs reveals blood-accessible molecular barcodes of cancer identity and cancer-emergent oncogenic drivers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585748. [PMID: 38562907 PMCID: PMC10983903 DOI: 10.1101/2024.03.19.585748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
From extrachromosomal DNA to neo-peptides, the broad reprogramming of the cancer genome leads to the emergence of molecules that are specific to the cancer state. We recently described orphan non-coding RNAs (oncRNAs) as a class of cancer-specific small RNAs with the potential to play functional roles in breast cancer progression1. Here, we report a systematic and comprehensive search to identify, annotate, and characterize cancer-emergent oncRNAs across 32 tumor types. We also leverage large-scale in vivo genetic screens in xenografted mice to functionally identify driver oncRNAs in multiple tumor types. We have not only discovered a large repertoire of oncRNAs, but also found that their presence and absence represent a digital molecular barcode that faithfully captures the types and subtypes of cancer. Importantly, we discovered that this molecular barcode is partially accessible from the cell-free space as some oncRNAs are secreted by cancer cells. In a large retrospective study across 192 breast cancer patients, we showed that oncRNAs can be reliably detected in the blood and that changes in the cell-free oncRNA burden captures both short-term and long-term clinical outcomes upon completion of a neoadjuvant chemotherapy regimen. Together, our findings establish oncRNAs as an emergent class of cancer-specific non-coding RNAs with potential roles in tumor progression and clinical utility in liquid biopsies and disease monitoring.
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Affiliation(s)
- Jeffrey Wang
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Present address: School of Medicine, University of California, Davis, CA, US
| | - Jung Min Suh
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Brian J Woo
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Albertas Navickas
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Present address: Institut Curie, CNRS UMR3348, INSERM U1278, Orsay, France
| | - Kristle Garcia
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Keyi Yin
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Lisa Fish
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Taylor Cavazos
- Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Benjamin Hänisch
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Daniel Markett
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Shaorong Yu
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Gillian Hirst
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Lamorna Brown-Swigart
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laura J. Esserman
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laura J. van ‘t Veer
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Hani Goodarzi
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Arc Institute, Palo Alto, CA 94304, USA
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Xie D, Huang H, Guo Y, Jiang Z, Kuang Y, Huang H, Liu W, Wang L, Xin Z, Wang B, Ren C, Jiang X. Integrated profiling identifies ferredoxin 1 as an immune-related biomarker of malignant phenotype in glioma. Heliyon 2024; 10:e26976. [PMID: 38463788 PMCID: PMC10923675 DOI: 10.1016/j.heliyon.2024.e26976] [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: 10/03/2023] [Revised: 01/18/2024] [Accepted: 02/22/2024] [Indexed: 03/12/2024] Open
Abstract
Background Glioma, a highly resistant and recurrent type of central nervous system tumor, poses a significant challenge in terms of effective drug treatments and its associated mortality rates. Despite the discovery of Ferredoxin 1 (FDX1) as a crucial participant in cuproptosis, an innovative mechanism of cellular demise, its precise implications for glioma prognosis and tumor immune infiltration remain inadequately elucidated. Methods To analyze pan-cancer data, we employed multiple public databases. Gene expression evaluation was performed using tissue microarray (TMA) and single-cell sequencing data. Furthermore, four different approaches were employed to assess the prognostic importance of FDX1 in glioma. We conducted the analysis of differential expression genes (DEGs) and Gene Set Enrichment Analysis (GSEA) to identify immune-related predictive signaling pathways. Somatic mutations were assessed using Tumor Mutation Burden (TMB) and waterfall plots. Immune cell infiltration was evaluated with five different algorithms. Furthermore, we performed in vitro investigations to evaluate the biological roles of FDX1 in glioma. Results Glioma samples exhibited upregulation of FDX1, which in turn predicted poor prognosis and was positively associated with unfavorable clinicopathological characteristics. Notably, the top four enriched signaling pathways were immune-related, and the discovery revealed a connection between the expression of FDX1 and the frequency of mutations or the TMB. The FDX1_high group exhibited heightened infiltration of immune cells, and there existed a direct association between the expression of FDX1 and the regulation of immune checkpoint. In vitro experiments demonstrated that FDX1 knockdown reduced proliferation, migration, invasion and transition from G2 to M phase in glioma cells. Conclusion In glioma, FDX1 demonstrated a positive association with the advancement of malignancy and changes in the infiltration of immune cells.
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Affiliation(s)
- Dongcheng Xie
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Hailong Huang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Youwei Guo
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Zhipeng Jiang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Yirui Kuang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Haoxuan Huang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Weidong Liu
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, China
- The NHC Key Laboratory of Carcinogenesis and The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Central South University, Changsha, China
| | - Lei Wang
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, China
- The NHC Key Laboratory of Carcinogenesis and The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Central South University, Changsha, China
| | - Zhaoqi Xin
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Binbin Wang
- Department of Neurosurgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, China
| | - Caiping Ren
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, China
- The NHC Key Laboratory of Carcinogenesis and The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Central South University, Changsha, China
| | - Xingjun Jiang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
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Dopkins N, Nixon DF. Activation of human endogenous retroviruses and its physiological consequences. Nat Rev Mol Cell Biol 2024; 25:212-222. [PMID: 37872387 DOI: 10.1038/s41580-023-00674-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2023] [Indexed: 10/25/2023]
Abstract
Human endogenous retroviruses (HERVs) are abundant sequences that persist within the human genome as remnants of ancient retroviral infections. These sequences became fixed and accumulate mutations or deletions over time. HERVs have affected human evolution and physiology by providing a unique repertoire of coding and non-coding sequences to the genome. In healthy individuals, HERVs participate in immune responses, formation of syncytiotrophoblasts and cell-fate specification. In this Review, we discuss how endogenized retroviral motifs and regulatory sequences have been co-opted into human physiology and how they are tightly regulated. Infections and mutations can derail this regulation, leading to differential HERV expression, which may contribute to pathologies including neurodegeneration, pathological inflammation and oncogenesis. Emerging evidence demonstrates that HERVs are crucial to human health and represent an understudied facet of many diseases, and we therefore argue that investigating their fundamental properties could improve existing therapies and help develop novel therapeutic strategies.
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Affiliation(s)
- Nicholas Dopkins
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Douglas F Nixon
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
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31
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Al-Hawary SIS, Jasim SA, Hjazi A, Oghenemaro EF, Kaur I, Kumar A, Al-Ani AM, Alwaily ER, Redhee AH, Mustafa YF. Nucleic acid-based vaccine for ovarian cancer cells; bench to bedside. Cell Biochem Funct 2024; 42:e3978. [PMID: 38515237 DOI: 10.1002/cbf.3978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 02/27/2024] [Accepted: 03/04/2024] [Indexed: 03/23/2024]
Abstract
Ovarian cancer continues to be a difficult medical issue that affects millions of individuals worldwide. Important platforms for cancer immunotherapy include checkpoint inhibitors, chimeric antigen receptor T cells, bispecific antibodies, cancer vaccines, and other cell-based treatments. To avoid numerous infectious illnesses, conventional vaccinations based on synthetic peptides, recombinant subunit vaccines, and live attenuated and inactivated pathogens are frequently utilized. Vaccine manufacturing processes, however, are not entirely safe and carry a significant danger of contaminating living microorganisms. As a result, the creation of substitute vaccinations is required for both viral and noninfectious illnesses, including cancer. Recently, there has been testing of nucleic acid vaccines, or NAVs, as a cancer therapeutic. Tumor antigens (TAs) are genetically encoded by DNA and mRNA vaccines, which the host uses to trigger immune responses against ovarian cancer cells that exhibit the TAs. Despite being straightforward, safe, and easy to produce, NAVs are not currently thought to be an ideal replacement for peptide vaccines. Some obstacles to this strategy include selecting the appropriate therapeutic agents (TAs), inadequate immunogenicity, and the immunosuppressive characteristic of ovarian cancer. We focus on strategies that have been employed to increase NAVs' effectiveness in the fight against ovarian cancer in this review.
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Affiliation(s)
| | - Saade Abdalkareem Jasim
- Medical Laboratory Techniques Department, Al-maarif University College, Anbar, Iraq
- Biotechnology Department, College of Applied Science, Fallujah University, Fallujah, Iraq
| | - Ahmed Hjazi
- Department of Medical Laboratory, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Enwa Felix Oghenemaro
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, Delta State University, Abraka, Nigeria
| | - Irwanjot Kaur
- Department of Biotechnology and Genetics, Jain (Deemed-to-be) University, Bengaluru, Karnataka, India
- Department of Allied Healthcare and Sciences, Vivekananda Global University, Jaipur, Rajasthan, India
| | - Abhinav Kumar
- Department of Nuclear and Renewable Energy, Ural Federal University Named after The First President of Russia, Yekaterinburg, Russia
| | | | - Enas R Alwaily
- Microbiology Research Group, College of Pharmacy, Al-Ayen University, Thi-Qar, Iraq
| | - Ahmed Huseen Redhee
- Medical Laboratory Technique College, The Islamic University, Najaf, Iraq
- Medical Laboratory Technique College, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- Medical Laboratory Technique College, The Islamic University of Babylon, Babylon, Iraq
| | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul, Iraq
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32
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Logghe T, van Zwol E, Immordino B, Van den Cruys K, Peeters M, Giovannetti E, Bogers J. Hyperthermia in Combination with Emerging Targeted and Immunotherapies as a New Approach in Cancer Treatment. Cancers (Basel) 2024; 16:505. [PMID: 38339258 PMCID: PMC10854776 DOI: 10.3390/cancers16030505] [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: 11/30/2023] [Revised: 01/10/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Despite significant advancements in the development of novel therapies, cancer continues to stand as a prominent global cause of death. In many cases, the cornerstone of standard-of-care therapy consists of chemotherapy (CT), radiotherapy (RT), or a combination of both. Notably, hyperthermia (HT), which has been in clinical use in the last four decades, has proven to enhance the effectiveness of CT and RT, owing to its recognized potency as a sensitizer. Furthermore, HT exerts effects on all steps of the cancer-immunity cycle and exerts a significant impact on key oncogenic pathways. Most recently, there has been a noticeable expansion of cancer research related to treatment options involving immunotherapy (IT) and targeted therapy (TT), a trend also visible in the research and development pipelines of pharmaceutical companies. However, the potential results arising from the combination of these innovative therapeutic approaches with HT remain largely unexplored. Therefore, this review aims to explore the oncology pipelines of major pharmaceutical companies, with the primary objective of identifying the principal targets of forthcoming therapies that have the potential to be advantageous for patients by specifically targeting molecular pathways involved in HT. The ultimate goal of this review is to pave the way for future research initiatives and clinical trials that harness the synergy between emerging IT and TT medications when used in conjunction with HT.
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Affiliation(s)
- Tine Logghe
- Elmedix NV, Dellingstraat 34/1, 2800 Mechelen, Belgium
| | - Eke van Zwol
- Elmedix NV, Dellingstraat 34/1, 2800 Mechelen, Belgium
| | - Benoît Immordino
- Cancer Pharmacology Lab, Fondazione Pisana per la Scienza, San Giuliano, 56017 Pisa, Italy
- Institute of Life Sciences, Sant’Anna School of Advanced Studies, 56127 Pisa, Italy
| | | | - Marc Peeters
- Department of Oncology, Antwerp University Hospital, 2650 Edegem, Belgium
| | - Elisa Giovannetti
- Cancer Pharmacology Lab, Fondazione Pisana per la Scienza, San Giuliano, 56017 Pisa, Italy
- Department of Medical Oncology, Amsterdam UMC, Location Vrije Universiteit, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Johannes Bogers
- Elmedix NV, Dellingstraat 34/1, 2800 Mechelen, Belgium
- Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, University of Antwerp, 2610 Antwerp, Belgium
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Addala V, Newell F, Pearson JV, Redwood A, Robinson BW, Creaney J, Waddell N. Computational immunogenomic approaches to predict response to cancer immunotherapies. Nat Rev Clin Oncol 2024; 21:28-46. [PMID: 37907723 DOI: 10.1038/s41571-023-00830-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 11/02/2023]
Abstract
Cancer immunogenomics is an emerging field that bridges genomics and immunology. The establishment of large-scale genomic collaborative efforts along with the development of new single-cell transcriptomic techniques and multi-omics approaches have enabled characterization of the mutational and transcriptional profiles of many cancer types and helped to identify clinically actionable alterations as well as predictive and prognostic biomarkers. Researchers have developed computational approaches and machine learning algorithms to accurately obtain clinically useful information from genomic and transcriptomic sequencing data from bulk tissue or single cells and explore tumours and their microenvironment. The rapid growth in sequencing and computational approaches has resulted in the unmet need to understand their true potential and limitations in enabling improvements in the management of patients with cancer who are receiving immunotherapies. In this Review, we describe the computational approaches currently available to analyse bulk tissue and single-cell sequencing data from cancer, stromal and immune cells, as well as how best to select the most appropriate tool to address various clinical questions and, ultimately, improve patient outcomes.
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Affiliation(s)
- Venkateswar Addala
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
| | - Felicity Newell
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - John V Pearson
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Alec Redwood
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia
| | - Bruce W Robinson
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Jenette Creaney
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Nicola Waddell
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
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Li X, You J, Hong L, Liu W, Guo P, Hao X. Neoantigen cancer vaccines: a new star on the horizon. Cancer Biol Med 2023; 21:j.issn.2095-3941.2023.0395. [PMID: 38164734 PMCID: PMC11033713 DOI: 10.20892/j.issn.2095-3941.2023.0395] [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: 10/27/2023] [Accepted: 11/22/2023] [Indexed: 01/03/2024] Open
Abstract
Immunotherapy represents a promising strategy for cancer treatment that utilizes immune cells or drugs to activate the patient's own immune system and eliminate cancer cells. One of the most exciting advances within this field is the targeting of neoantigens, which are peptides derived from non-synonymous somatic mutations that are found exclusively within cancer cells and absent in normal cells. Although neoantigen-based therapeutic vaccines have not received approval for standard cancer treatment, early clinical trials have yielded encouraging outcomes as standalone monotherapy or when combined with checkpoint inhibitors. Progress made in high-throughput sequencing and bioinformatics have greatly facilitated the precise and efficient identification of neoantigens. Consequently, personalized neoantigen-based vaccines tailored to each patient have been developed that are capable of eliciting a robust and long-lasting immune response which effectively eliminates tumors and prevents recurrences. This review provides a concise overview consolidating the latest clinical advances in neoantigen-based therapeutic vaccines, and also discusses challenges and future perspectives for this innovative approach, particularly emphasizing the potential of neoantigen-based therapeutic vaccines to enhance clinical efficacy against advanced solid tumors.
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Affiliation(s)
- Xiaoling Li
- Cell Biotechnology Laboratory, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
- National Clinical Research Center for Cancer, Tianjin 300060, China
- Haihe Laboratory of Synthetic Biology, Tianjin 300090, China
| | - Jian You
- Department of Thoracic Oncology, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
- Department of Thoracic Oncology Surgery, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300060, China
| | - Liping Hong
- Cell Biotechnology Laboratory, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
- National Clinical Research Center for Cancer, Tianjin 300060, China
- Haihe Laboratory of Synthetic Biology, Tianjin 300090, China
| | - Weijiang Liu
- Cell Biotechnology Laboratory, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
- National Clinical Research Center for Cancer, Tianjin 300060, China
- Haihe Laboratory of Synthetic Biology, Tianjin 300090, China
| | - Peng Guo
- Cell Biotechnology Laboratory, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
- National Clinical Research Center for Cancer, Tianjin 300060, China
- Haihe Laboratory of Synthetic Biology, Tianjin 300090, China
| | - Xishan Hao
- Cell Biotechnology Laboratory, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
- National Clinical Research Center for Cancer, Tianjin 300060, China
- Haihe Laboratory of Synthetic Biology, Tianjin 300090, China
- Tianjin Medical University Cancer Institute & Hospital, Tianjin 300060, China
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Zeng L, Zheng W, Zhang J, Wang J, Ji Q, Wu X, Meng Y, Zhu X. An epitope encoded by uORF of RNF10 elicits a therapeutic anti-tumor immune response. Mol Ther Oncolytics 2023; 31:100737. [PMID: 38020063 PMCID: PMC10654591 DOI: 10.1016/j.omto.2023.100737] [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: 05/04/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
Tumor-specific antigens (TSAs) are crucial for tumor-specific immune response that reduces tumor burden and thus serve as important targets for immunotherapy. Identification of novel TSAs can provide new strategies for immunotherapies. In this study, we demonstrated that the upstream open reading frame (uORF) of RNF10 encodes an antigenic peptide (RNF10 uPeptide), capable of eliciting a T cell-mediated anti-tumor immune response. We initially demonstrated the immunogenicity of the RNF10 uPeptide in a CT26 tumor mouse model, by showing that its epitope was specifically recognized by CD8+ T cells. Vaccination of mice with the long form of the RNF10 uPeptide conferred strong anti-tumor activity. Next, we proved that the human RNF10 uORF could be translated. In addition, we predicted the binding of an RNF10 uPeptide epitope to HLA-A∗02:01 (HLA-A2). This HLA-A2-restricted epitope of the RNF10 uPeptide induced a potent specific human T cell response. Finally, we showed that an HLA-A2-restricted cytotoxic T cell (CTL) clone, derived from a pancreatic cancer patient, recognized the RNF10 uPeptide epitope (RLFGQQQRA) and lysed HLA-A2+ pancreatic carcinoma cells expressing the RNF10 uPeptide. These results indicate that the RNF10 uPeptide could be a promising target for pancreatic carcinoma immunotherapy.
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Affiliation(s)
- Lili Zeng
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
- Department of Pathology, The Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
| | - Wei Zheng
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
- Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Jiahui Zhang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
- Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Jiawen Wang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
- Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Qing Ji
- Department of Pathology, The Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
| | - Xinglong Wu
- Department of Pathology, The Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
| | - Yaming Meng
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
| | - Xiaofeng Zhu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
- Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
- Breast and Thyroid Center, Guangzhou Women and Children’s Medical Center, Guangzhou 510000, China
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Aragón-Serrano L, Carrillo-Serradell L, Planells-Romeo V, Isamat M, Velasco-de Andrés M, Lozano F. CD6 and Its Interacting Partners: Newcomers to the Block of Cancer Immunotherapies. Int J Mol Sci 2023; 24:17510. [PMID: 38139340 PMCID: PMC10743954 DOI: 10.3390/ijms242417510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
Cancer management still requires more potent and safer treatments, of which immunomodulatory receptors on the lymphocyte surface have started to show promise in new cancer immunotherapies (e.g., CTLA-4 and PD-1). CD6 is a signal-transducing transmembrane receptor, mainly expressed by all T cells and some B and NK cell subsets, whose endogenous ligands (CD166/ALCAM, CD318/CDCP-1, Galectins 1 and 3) are overexpressed by malignant cells of different lineages. This places CD6 as a potential target for novel therapies against haematological and non-haematological malignancies. Recent experimental evidence for the role of CD6 in cancer immunotherapies is summarised in this review, dealing with diverse and innovative strategies from the classical use of monoclonal antibodies to soluble recombinant decoys or the adoptive transfer of immune cells engineered with chimeric antigen receptors.
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Affiliation(s)
- Lucía Aragón-Serrano
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló 149-153, 08036 Barcelona, Spain; (L.A.-S.); (L.C.-S.); (V.P.-R.); (M.V.-d.A.)
| | - Laura Carrillo-Serradell
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló 149-153, 08036 Barcelona, Spain; (L.A.-S.); (L.C.-S.); (V.P.-R.); (M.V.-d.A.)
| | - Violeta Planells-Romeo
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló 149-153, 08036 Barcelona, Spain; (L.A.-S.); (L.C.-S.); (V.P.-R.); (M.V.-d.A.)
| | - Marcos Isamat
- Sepsia Therapeutics S.L., 08908 L’Hospitalet de Llobregat, Spain;
| | - María Velasco-de Andrés
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló 149-153, 08036 Barcelona, Spain; (L.A.-S.); (L.C.-S.); (V.P.-R.); (M.V.-d.A.)
| | - Francisco Lozano
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló 149-153, 08036 Barcelona, Spain; (L.A.-S.); (L.C.-S.); (V.P.-R.); (M.V.-d.A.)
- Servei d’Immunologia, Centre de Diagnòstic Biomèdic, Hospital Clínic de Barcelona, 08036 Barcelona, Spain
- Departament de Biomedicina, Facultat de Medicina, Universitat de Barcelona, 08036 Barcelona, Spain
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Pang Z, Lu MM, Zhang Y, Gao Y, Bai JJ, Gu JY, Xie L, Wu WZ. Neoantigen-targeted TCR-engineered T cell immunotherapy: current advances and challenges. Biomark Res 2023; 11:104. [PMID: 38037114 PMCID: PMC10690996 DOI: 10.1186/s40364-023-00534-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/22/2023] [Indexed: 12/02/2023] Open
Abstract
Adoptive cell therapy using T cell receptor-engineered T cells (TCR-T) is a promising approach for cancer therapy with an expectation of no significant side effects. In the human body, mature T cells are armed with an incredible diversity of T cell receptors (TCRs) that theoretically react to the variety of random mutations generated by tumor cells. The outcomes, however, of current clinical trials using TCR-T cell therapies are not very successful especially involving solid tumors. The therapy still faces numerous challenges in the efficient screening of tumor-specific antigens and their cognate TCRs. In this review, we first introduce TCR structure-based antigen recognition and signaling, then describe recent advances in neoantigens and their specific TCR screening technologies, and finally summarize ongoing clinical trials of TCR-T therapies against neoantigens. More importantly, we also present the current challenges of TCR-T cell-based immunotherapies, e.g., the safety of viral vectors, the mismatch of T cell receptor, the impediment of suppressive tumor microenvironment. Finally, we highlight new insights and directions for personalized TCR-T therapy.
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Affiliation(s)
- Zhi Pang
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Man-Man Lu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Yu Zhang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Yuan Gao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Jin-Jin Bai
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jian-Ying Gu
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Lu Xie
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
| | - Wei-Zhong Wu
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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38
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Yao T, Zhang Z, Li Q, Huang R, Hong Y, Li C, Zhang F, Huang Y, Fang Y, Cao Q, Jin X, Li C, Wang Z, Lin XJ, Li L, Wei W, Wang Z, Shen J. Long-Read Sequencing Reveals Alternative Splicing-Driven, Shared Immunogenic Neoepitopes Regardless of SF3B1 Status in Uveal Melanoma. Cancer Immunol Res 2023; 11:1671-1687. [PMID: 37756564 DOI: 10.1158/2326-6066.cir-23-0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/13/2023] [Accepted: 09/22/2023] [Indexed: 09/29/2023]
Abstract
Tumor-specific neoepitopes are promising targets in cancer immunotherapy. However, the identification of functional tumor-specific neoepitopes remains challenging. In addition to the most common source, single-nucleotide variants (SNV), alternative splicing (AS) represents another rich source of neoepitopes and can be utilized in cancers with low SNVs such as uveal melanoma (UM). UM, the most prevalent adult ocular malignancy, has poor clinical outcomes due to a lack of effective therapies. Recent studies have revealed the promise of harnessing tumor neoepitopes to treat UM. Previous studies have focused on neoepitope targets associated with mutations in splicing factor 3b subunit 1 (SF3B1), a key splicing factor; however, little is known about the neoepitopes that are commonly shared by patients independent of SF3B1 status. To identify the AS-derived neoepitopes regardless of SF3B1 status, we herein used a comprehensive nanopore long-read-sequencing approach to elucidate the landscape of AS and novel isoforms in UM. We also performed high-resolution mass spectrometry to further validate the presence of neoepitope candidates and analyzed their structures using the AlphaFold2 algorithm. We experimentally evaluated the antitumor effects of these neoepitopes and found they induced robust immune responses by stimulating interferon (IFN)γ production and activating T cell-based UM tumor killing. These results provide novel insights into UM-specific neoepitopes independent of SF3B1 and lay the foundation for developing therapies by targeting these actionable neoepitopes.
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Affiliation(s)
- Tengteng Yao
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Zhe Zhang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
- Institute of Translational Medicine, National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qian Li
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
- Institute of Translational Medicine, National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Huang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
- Institute of Translational Medicine, National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanhong Hong
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Lingang Laboratory, Shanghai, China
| | - Chen Li
- High Performance Computing Center, Shanghai Jiao Tong University, Shanghai, China
| | - Feng Zhang
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Huang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Lingang Laboratory, Shanghai, China
| | - Yan Fang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
- Institute of Translational Medicine, National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qin Cao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoliang Jin
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Chunliang Li
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Zefeng Wang
- CAS Key Laboratory of Computational Biology, CAS Shanghai Institute of Nutrition and Health, Shanghai, China
| | - Xinhua James Lin
- High Performance Computing Center, Shanghai Jiao Tong University, Shanghai, China
| | - Lingjie Li
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wu Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Lingang Laboratory, Shanghai, China
| | - Zhaoyang Wang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Jianfeng Shen
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
- Institute of Translational Medicine, National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
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Müller M, Huber F, Arnaud M, Kraemer AI, Altimiras ER, Michaux J, Taillandier-Coindard M, Chiffelle J, Murgues B, Gehret T, Auger A, Stevenson BJ, Coukos G, Harari A, Bassani-Sternberg M. Machine learning methods and harmonized datasets improve immunogenic neoantigen prediction. Immunity 2023; 56:2650-2663.e6. [PMID: 37816353 DOI: 10.1016/j.immuni.2023.09.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/26/2023] [Accepted: 09/05/2023] [Indexed: 10/12/2023]
Abstract
The accurate selection of neoantigens that bind to class I human leukocyte antigen (HLA) and are recognized by autologous T cells is a crucial step in many cancer immunotherapy pipelines. We reprocessed whole-exome sequencing and RNA sequencing (RNA-seq) data from 120 cancer patients from two external large-scale neoantigen immunogenicity screening assays combined with an in-house dataset of 11 patients and identified 46,017 somatic single-nucleotide variant mutations and 1,781,445 neo-peptides, of which 212 mutations and 178 neo-peptides were immunogenic. Beyond features commonly used for neoantigen prioritization, factors such as the location of neo-peptides within protein HLA presentation hotspots, binding promiscuity, and the role of the mutated gene in oncogenicity were predictive for immunogenicity. The classifiers accurately predicted neoantigen immunogenicity across datasets and improved their ranking by up to 30%. Besides insights into machine learning methods for neoantigen ranking, we have provided homogenized datasets valuable for developing and benchmarking companion algorithms for neoantigen-based immunotherapies.
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Affiliation(s)
- Markus Müller
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; SIB Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Amphipôle, 1015 Lausanne, Switzerland.
| | - Florian Huber
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Marion Arnaud
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Anne I Kraemer
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Emma Ricart Altimiras
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Justine Michaux
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Marie Taillandier-Coindard
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Johanna Chiffelle
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Baptiste Murgues
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Talita Gehret
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Aymeric Auger
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland
| | - Brian J Stevenson
- Agora Cancer Research Centre, 1011 Lausanne, Switzerland; SIB Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Amphipôle, 1015 Lausanne, Switzerland
| | - George Coukos
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Center of Experimental Therapeutics, Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland
| | - Alexandre Harari
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Center of Experimental Therapeutics, Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, University of Lausanne, Agora Center Bugnon 25A, 1005 Lausanne, Switzerland; Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Center of Experimental Therapeutics, Department of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland.
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Walseng E, Wang B, Yang C, Patel P, Zhao C, Zhang H, Zhao P, Mazor Y. Conformation-selective rather than avidity-based binding to tumor associated antigen derived peptide-MHC enables targeting of WT1-pMHC low expressing cancer cells by anti-WT1-pMHC/CD3 T cell engagers. Front Immunol 2023; 14:1275304. [PMID: 38022650 PMCID: PMC10667733 DOI: 10.3389/fimmu.2023.1275304] [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: 08/09/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
T cell engagers, a category of T cell-retargeting immunotherapy, are rapidly transforming clinical cancer care. However, the lack of tumor-specific targets poses a significant roadblock for broad adaptation of this therapeutic modality in many indications, often resulting in systemic on-target off-tumor toxicity. Though various tumor-derived intracellular mutations provide a massive pool of potential tumor-specific antigens, targeting them is extremely challenging, partly due to the low copy number of tumor associated antigen (TAA)-derived pMHC on tumor cell surface. Further, the interplay of binding geometry and format valency in relation to the capacity of a T cell engager to efficiently target low density cell-surface pMHC is not well understood. Using the Wilms' tumor 1 (WT1) oncoprotein as a proof-of-principle TAA, combined with an array of IgG-like T cell engager modalities that differ in their anti-TAA valency and binding geometry, we show that the ability to induce an immunological synapse formation, resulting in potent killing of WT1 positive cancer cell lines is primarily dependent on the distinct geometrical conformations between the Fab arms of anti-WT1-HLA-A*02:01 and anti-CD3. The augmented avidity conferred by the binding of two anti-WT1-HLA-A*02:01 Fab arms has only minimal influence on cell killing potency. These findings demonstrate the need for careful examination of key design parameters for the development of next-generation T cell engagers targeting low density TAA-pMHCs on tumor cells.
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Affiliation(s)
| | | | | | | | | | | | | | - Yariv Mazor
- Biologics Engineering, Biopharmaceutical R&D, AstraZeneca, Gaithersburg, MD, United States
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41
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Wu M, Zhou S. Harnessing tumor immunogenomics: Tumor neoantigens in ovarian cancer and beyond. Biochim Biophys Acta Rev Cancer 2023; 1878:189017. [PMID: 37935309 DOI: 10.1016/j.bbcan.2023.189017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/09/2023]
Abstract
Ovarian cancer is a major cause of death among gynecological cancers due to its highly aggressive nature. Immunotherapy has emerged as a promising avenue for ovarian cancer treatment, offering targeted approaches with reduced off-target effects. With the advent of next-generation sequencing, it has become possible to identify genomic alterations that can serve as potential targets for immunotherapy. Furthermore, immunogenomics research has revealed the importance of genetic alterations in shaping the cancer immune responses. However, the heterogeneity of immunogenicity and the low tumor mutation burden pose challenges for neoantigen-based immunotherapies. Further research is needed to identify neoantigen-specific tumor-infiltrating lymphocytes (TIL) and establish guidelines for patient inclusion criteria in TIL-based therapy. The study of neoantigens and their implications in ovarian cancer immunotherapy holds great promise, and efforts focused on personalized treatment strategies, refined neoantigen selection, and optimized therapeutic combinations will contribute to improving patient outcomes in the future.
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Affiliation(s)
- Mengrui Wu
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, PR China
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, PR China.
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42
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Chen G, Kong D, Lin Y. Neo-Antigen-Reactive T Cells Immunotherapy for Colorectal Cancer: A More Personalized Cancer Therapy Approach. GLOBAL CHALLENGES (HOBOKEN, NJ) 2023; 7:2200186. [PMID: 37970536 PMCID: PMC10632666 DOI: 10.1002/gch2.202200186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 05/09/2023] [Indexed: 11/17/2023]
Abstract
Colorectal cancer (CRC) is the second most common malignancy in women and the third most frequent cancer in men. Evidence has revealed that the survival of patients with metastatic CRC is very low, between one and three years. Neoantigens are known proteins encoded by mutations in tumor cells. It is theorized that recognizing neoantigens by T cells leads to T cell activation and further antitumor responses. Neoantigen-reactive T cells (NRTs) are designed against the mentioned neoantigens expressed by tumor cells. NRTs selectively kill tumor cells without damage to non-cancerous cells. Identifying patient-specific and high immunogen neoantigens is important in NRT immunotherapy of patients with CRC. However, the main challenges are the side effects and preparation of NRTs, as well as the effectiveness of these cells in vivo. This review summarized the properties of neoantigens as well as the preparation and therapeutic outcomes of NRTs for the treatment of CRC.
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Affiliation(s)
- Guan‐Liang Chen
- Department of Gastroenterology SurgeryAffiliated Hospital of Shaoxing UniversityShaoxing312000China
| | - De‐Xia Kong
- Center for General Practice MedicineDepartment of GastroenterologyZhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical CollegeNo. 158 Shangtang RoadHangzhouZhejiang310014China
| | - Yan Lin
- Center for General Practice MedicineDepartment of GastroenterologyZhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical CollegeNo. 158 Shangtang RoadHangzhouZhejiang310014China
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43
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Truex N, Rondon A, Rössler SL, Hanna CC, Cho Y, Wang BY, Backlund CM, Lutz EA, Irvine DJ, Pentelute BL. Enhanced Vaccine Immunogenicity Enabled by Targeted Cytosolic Delivery of Tumor Antigens into Dendritic Cells. ACS CENTRAL SCIENCE 2023; 9:1835-1845. [PMID: 37780364 PMCID: PMC10540291 DOI: 10.1021/acscentsci.3c00625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Indexed: 10/03/2023]
Abstract
Molecular vaccines comprising antigen peptides and inflammatory cues make up a class of therapeutics that promote immunity against cancer and pathogenic diseases but often exhibit limited efficacy. Here, we engineered an antigen peptide delivery system to enhance vaccine efficacy by targeting dendritic cells and mediating cytosolic delivery. The delivery system consists of the nontoxic anthrax protein, protective antigen (PA), and a single-chain variable fragment (scFv) that recognizes the XCR1 receptor on dendritic cells (DCs). Combining these proteins enabled selective delivery of the N-terminus of lethal factor (LFN) into XCR1-positive cross-presenting DCs. Incorporating immunogenic epitope sequences into LFN showed selective protein translocation in vitro and enhanced the priming of antigen-specific T cells in vivo. Administering DC-targeted constructs with tumor antigens (Trp1/gp100) into mice bearing aggressive B16-F10 melanomas improved mouse outcomes when compared to free antigen, including suppressed tumor growth up to 58% at 16 days post tumor induction (P < 0.0001) and increased survival (P = 0.03). These studies demonstrate that harnessing DC-targeting anthrax proteins for cytosolic antigen delivery significantly enhances the immunogenicity and antitumor efficacy of cancer vaccines.
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Affiliation(s)
- Nicholas
L. Truex
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Department
of Chemistry and Biochemistry, University
of South Carolina, 631
Sumter Street, Columbia, South Carolina 29208, United States
| | - Aurélie Rondon
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Simon L. Rössler
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Cameron C. Hanna
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Yehlin Cho
- Department
of Materials Science and Engineering, Massachusetts
Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Bin-You Wang
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Coralie M. Backlund
- The
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02139, United States
| | - Emi A. Lutz
- The
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02139, United States
- Department
of Biological Engineering, Massachusetts
Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Darrell J. Irvine
- Department
of Materials Science and Engineering, Massachusetts
Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- The
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02139, United States
- Department
of Biological Engineering, Massachusetts
Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Ragon Institute
of Massachusetts General Hospital, Massachusetts
Institute of Technology and Harvard University, 400 Technology Square, Cambridge, Massachusetts 02139, United States
- Howard
Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815, United States
| | - Bradley L. Pentelute
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- The
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02139, United States
- Center
for Environmental Health Sciences, Massachusetts
Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Broad
Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, United States
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Fan R, Ji X, Li J, Cui Q, Cui C. Defining the single base importance of human mRNAs and lncRNAs. Brief Bioinform 2023; 24:bbad321. [PMID: 37668090 DOI: 10.1093/bib/bbad321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/28/2023] [Accepted: 08/16/2023] [Indexed: 09/06/2023] Open
Abstract
As the fundamental unit of a gene and its transcripts, nucleotides have enormous impacts on the gene function and evolution, and thus on phenotypes and diseases. In order to identify the key nucleotides of one specific gene, it is quite crucial to quantitatively measure the importance of each base on the gene. However, there are still no sequence-based methods of doing that. Here, we proposed Base Importance Calculator (BIC), an algorithm to calculate the importance score of each single base based on sequence information of human mRNAs and long noncoding RNAs (lncRNAs). We then confirmed its power by applying BIC to three different tasks. Firstly, we revealed that BIC can effectively evaluate the pathogenicity of both genes and single bases through single nucleotide variations. Moreover, the BIC score in The Cancer Genome Atlas somatic mutations is able to predict the prognosis of some cancers. Finally, we show that BIC can also precisely predict the transmissibility of SARS-CoV-2. The above results indicate that BIC is a useful tool for evaluating the single base importance of human mRNAs and lncRNAs.
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Affiliation(s)
- Rui Fan
- Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, State Key Lab of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China
| | - Xiangwen Ji
- Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, State Key Lab of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China
| | - Jianwei Li
- Institute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin, 300401, China
| | - Qinghua Cui
- Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, State Key Lab of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China
- School of Sports Medicine, Wuhan Institute of Physical Education, No.461 Luoyu Rd. Wuchang District, Wuhan 430079, Hubei Province, China
| | - Chunmei Cui
- Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, State Key Lab of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China
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Pu T, Peddle A, Zhu J, Tejpar S, Verbandt S. Neoantigen identification: Technological advances and challenges. Methods Cell Biol 2023; 183:265-302. [PMID: 38548414 DOI: 10.1016/bs.mcb.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Neoantigens have emerged as promising targets for cutting-edge immunotherapies, such as cancer vaccines and adoptive cell therapy. These neoantigens are unique to tumors and arise exclusively from somatic mutations or non-genomic aberrations in tumor proteins. They encompass a wide range of alterations, including genomic mutations, post-transcriptomic variants, and viral oncoproteins. With the advancements in technology, the identification of immunogenic neoantigens has seen rapid progress, raising new opportunities for enhancing their clinical significance. Prediction of neoantigens necessitates the acquisition of high-quality samples and sequencing data, followed by mutation calling. Subsequently, the pipeline involves integrating various tools that can predict the expression, processing, binding, and recognition potential of neoantigens. However, the continuous improvement of computational tools is constrained by the availability of datasets which contain validated immunogenic neoantigens. This review article aims to provide a comprehensive summary of the current knowledge as well as limitations in neoantigen prediction and validation. Additionally, it delves into the origin and biological role of neoantigens, offering a deeper understanding of their significance in the field of cancer immunotherapy. This article thus seeks to contribute to the ongoing efforts to harness neoantigens as powerful weapons in the fight against cancer.
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Affiliation(s)
- Ting Pu
- Digestive Oncology Unit, KULeuven, Leuven, Belgium
| | | | - Jingjing Zhu
- de Duve Institute, Université catholique de Louvain, Brussels, Belgium
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SUN LU, TAN HUAICHENG, YU TING, LIANG RUICHAO. Identification of lncRNAs associated with T cells as potential biomarkers and therapeutic targets in lung adenocarcinoma. Oncol Res 2023; 31:967-988. [PMID: 37744265 PMCID: PMC10513944 DOI: 10.32604/or.2023.042309] [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: 05/25/2023] [Accepted: 07/24/2023] [Indexed: 09/26/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is the most common and deadliest subtype of lung cancer. To select more targeted and effective treatments for individuals, further advances in classifying LUAD are urgently needed. The number, type, and function of T cells in the tumor microenvironment (TME) determine the progression and treatment response of LUAD. Long noncoding RNAs (lncRNAs), may regulate T cell differentiation, development, and activation. Thus, our aim was to identify T cell-related lncRNAs (T cell-Lncs) in LUAD and to investigate whether T cell-Lncs could serve as potential stratifiers and therapeutic targets. Seven T cell-Lncs were identified to further establish the T cell-related lncRNA risk score (TRS) in LUAD. Low TRS individuals were characterized by robust immune status, fewer genomic alterations, and remarkably longer survival than high TRS individuals. The excellent accuracy of TRS in predicting overall survival (OS) was validated in the TCGA-LUAD training cohort and the GEO-LUAD validation cohort. Our data demonstrated the favorable predictive power of the TRS-based nomogram, which had important clinical significance in estimating the survival probability for individuals. In addition, individuals with low TRS could respond better to chemotherapy and immunotherapy than those with high TRS. LINC00525 was identified as a valuable study target, and the ability of LUAD to proliferate or invade was significantly attenuated by downregulation of LINC00525. In conclusion, the TRS established by T cell-Lncs could unambiguously classify LUAD patients, predict their prognosis and guide their management. Moreover, our identified T cell-Lncs could provide potential therapeutic targets for LUAD.
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Affiliation(s)
- LU SUN
- Department of Targeting Therapy & Immunology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - HUAICHENG TAN
- Department of Targeting Therapy & Immunology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - TING YU
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - RUICHAO LIANG
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, China
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Afra F, Mahboobipour AA, Salehi Farid A, Ala M. Recent progress in the immunotherapy of hepatocellular carcinoma: Non-coding RNA-based immunotherapy may improve the outcome. Biomed Pharmacother 2023; 165:115104. [PMID: 37393866 DOI: 10.1016/j.biopha.2023.115104] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 07/04/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the second most lethal cancer and a leading cause of cancer-related mortality worldwide. Immune checkpoint inhibitors (ICIs) significantly improved the prognosis of HCC; however, the therapeutic response remains unsatisfactory in a substantial proportion of patients or needs to be further improved in responders. Herein, other methods of immunotherapy, including vaccine-based immunotherapy, adoptive cell therapy, cytokine delivery, kynurenine pathway inhibition, and gene delivery, have been adopted in clinical trials. Although the results were not encouraging enough to expedite their marketing. A major proportion of human genome is transcribed into non-coding RNAs (ncRNAs). Preclinical studies have extensively investigated the roles of ncRNAs in different aspects of HCC biology. HCC cells reprogram the expression pattern of numerous ncRNAs to decrease the immunogenicity of HCC, exhaust the cytotoxic and anti-cancer function of CD8 + T cells, natural killer (NK) cells, dendritic cells (DCs), and M1 macrophages, and promote the immunosuppressive function of T Reg cells, M2 macrophages, and myeloid-derived suppressor cells (MDSCs). Mechanistically, cancer cells recruit ncRNAs to interact with immune cells, thereby regulating the expression of immune checkpoints, functional receptors of immune cells, cytotoxic enzymes, and inflammatory and anti-inflammatory cytokines. Interestingly, prediction models based on the tissue expression or even serum levels of ncRNAs could predict response to immunotherapy in HCC. Moreover, ncRNAs markedly potentiated the efficacy of ICIs in murine models of HCC. This review article first discusses recent advances in the immunotherapy of HCC, then dissects the involvement and potential application of ncRNAs in the immunotherapy of HCC.
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Affiliation(s)
- Fatemeh Afra
- Clinical Pharmacy Department, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Ali Mahboobipour
- Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir Salehi Farid
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moein Ala
- Experimental Medicine Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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Ros J, Baraibar I, Saoudi N, Rodriguez M, Salvà F, Tabernero J, Élez E. Immunotherapy for Colorectal Cancer with High Microsatellite Instability: The Ongoing Search for Biomarkers. Cancers (Basel) 2023; 15:4245. [PMID: 37686520 PMCID: PMC10486610 DOI: 10.3390/cancers15174245] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
Microsatellite instability (MSI) is a biological condition associated with inflamed tumors, high tumor mutational burden (TMB), and responses to immune checkpoint inhibitors. In colorectal cancer (CRC), MSI tumors are found in 5% of patients in the metastatic setting and 15% in early-stage disease. Following the impressive clinical activity of immune checkpoint inhibitors in the metastatic setting, associated with deep and long-lasting responses, the development of immune checkpoint inhibitors has expanded to early-stage disease. Several phase II trials have demonstrated a high rate of pathological complete responses, with some patients even spared from surgery. However, in both settings, not all patients respond and some responses are short, emphasizing the importance of the ongoing search for accurate biomarkers. While various biomarkers of response have been evaluated in the context of MSI CRC, including B2M and JAK1/2 mutations, TMB, WNT pathway mutations, and Lynch syndrome, with mixed results, liver metastases have been associated with a lack of activity in such strategies. To improve patient selection and treatment outcomes, further research is required to identify additional biomarkers and refine existing ones. This will allow for the development of personalized treatment approaches and the integration of novel therapeutic strategies for MSI CRC patients with liver metastases.
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Affiliation(s)
- Javier Ros
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Iosune Baraibar
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Nadia Saoudi
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Marta Rodriguez
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Francesc Salvà
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Josep Tabernero
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Elena Élez
- Medical Oncology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (J.R.); (I.B.); (N.S.); (M.R.); (F.S.); (J.T.)
- Vall d’Hebron Institute of Oncology, 08035 Barcelona, Spain
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Buonaguro L, Tagliamonte M. Peptide-based vaccine for cancer therapies. Front Immunol 2023; 14:1210044. [PMID: 37654484 PMCID: PMC10467431 DOI: 10.3389/fimmu.2023.1210044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/31/2023] [Indexed: 09/02/2023] Open
Abstract
Different strategies based on peptides are available for cancer treatment, in particular to counter-act the progression of tumor growth and disease relapse. In the last decade, in the context of therapeutic strategies against cancer, peptide-based vaccines have been evaluated in different tumor models. The peptides selected for cancer vaccine development can be classified in two main type: tumor-associated antigens (TAAs) and tumor-specific antigens (TSAs), which are captured, internalized, processed and presented by antigen-presenting cells (APCs) to cell-mediated immunity. Peptides loaded onto MHC class I are recognized by a specific TCR of CD8+ T cells, which are activated to exert their cytotoxic activity against tumor cells presenting the same peptide-MHC-I complex. This process is defined as active immunotherapy as the host's immune system is either de novo activated or restimulated to mount an effective, tumor-specific immune reaction that may ultimately lead to tu-mor regression. However, while the preclinical data have frequently shown encouraging results, therapeutic cancer vaccines clinical trials, including those based on peptides have not provided satisfactory data to date. The limited efficacy of peptide-based cancer vaccines is the consequence of several factors, including the identification of specific target tumor antigens, the limited immunogenicity of peptides and the highly immunosuppressive tumor microenvironment (TME). An effective cancer vaccine can be developed only by addressing all such different aspects. The present review describes the state of the art for each of such factors.
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Affiliation(s)
| | - Maria Tagliamonte
- Innovative Immunological Models Unit, Istituto Nazionale Tumori - IRCCS - “Fond G. Pascale”, Naples, Italy
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Schindler NR, Braun DA. Antigenic targets in clear cell renal cell carcinoma. KIDNEY CANCER 2023; 7:81-91. [PMID: 38014393 PMCID: PMC10475986 DOI: 10.3233/kca-230006] [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: 05/16/2023] [Accepted: 07/11/2023] [Indexed: 11/29/2023]
Abstract
Immune checkpoint inhibitors (ICIs) have transformed the management of advanced renal cell carcinoma (RCC), but most patients still do not receive a long-term benefit from these therapies, and many experience off-target, immune-related adverse effects. RCC is also different from many other ICI-responsive tumors, as it has only a modest mutation burden, and total neoantigen load does not correlate with ICI response. In order to improve the efficacy and safety of immunotherapies for RCC, it is therefore critical to identify the antigens that are targeted in effective anti-tumor immunity. In this review, we describe the potential classes of target antigens, and provide examples of previous and ongoing efforts to investigate and target antigens in RCC, with a focus on clear cell histology. Ultimately, we believe that a concerted antigen discovery effort in RCC will enable an improved understanding of response and resistance to current therapies, and lay a foundation for the future development of "precision" antigen-directed immunotherapies.
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Affiliation(s)
- Nicholas R. Schindler
- Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - David A. Braun
- Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
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