• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

揭示肿瘤抗原全景:关于发现过程需了解的内容。

Uncovering the Tumor Antigen Landscape: What to Know about the Discovery Process.

作者信息

Feola Sara, Chiaro Jacopo, Martins Beatriz, Cerullo Vincenzo

机构信息

Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland.

Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland.

出版信息

Cancers (Basel). 2020 Jun 23;12(6):1660. doi: 10.3390/cancers12061660.

DOI:10.3390/cancers12061660
PMID:32585818
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7352969/
Abstract

According to the latest available data, cancer is the second leading cause of death, highlighting the need for novel cancer therapeutic approaches. In this context, immunotherapy is emerging as a reliable first-line treatment for many cancers, particularly metastatic melanoma. Indeed, cancer immunotherapy has attracted great interest following the recent clinical approval of antibodies targeting immune checkpoint molecules, such as PD-1, PD-L1, and CTLA-4, that release the brakes of the immune system, thus reviving a field otherwise poorly explored. Cancer immunotherapy mainly relies on the generation and stimulation of cytotoxic CD8 T lymphocytes (CTLs) within the tumor microenvironment (TME), priming T cells and establishing efficient and durable anti-tumor immunity. Therefore, there is a clear need to define and identify immunogenic T cell epitopes to use in therapeutic cancer vaccines. Naturally presented antigens in the human leucocyte antigen-1 (HLA-I) complex on the tumor surface are the main protagonists in evocating a specific anti-tumor CD8+ T cell response. However, the methodologies for their identification have been a major bottleneck for their reliable characterization. Consequently, the field of antigen discovery has yet to improve. The current review is intended to define what are today known as tumor antigens, with a main focus on CTL antigenic peptides. We also review the techniques developed and employed to date for antigen discovery, exploring both the direct elution of HLA-I peptides and the in silico prediction of epitopes. Finally, the last part of the review analyses the future challenges and direction of the antigen discovery field.

摘要

根据最新可得数据,癌症是第二大致死原因,这凸显了新型癌症治疗方法的必要性。在此背景下,免疫疗法正成为许多癌症,尤其是转移性黑色素瘤可靠的一线治疗方法。事实上,在针对免疫检查点分子(如PD-1、PD-L1和CTLA-4)的抗体近期获得临床批准后,癌症免疫疗法引起了极大关注,这些抗体解除了免疫系统的制动,从而复兴了一个原本研究较少的领域。癌症免疫疗法主要依赖于肿瘤微环境(TME)中细胞毒性CD8 T淋巴细胞(CTL)的产生和刺激,启动T细胞并建立高效持久的抗肿瘤免疫力。因此,明确和鉴定用于治疗性癌症疫苗的免疫原性T细胞表位显然很有必要。肿瘤表面人类白细胞抗原-1(HLA-I)复合物中天然呈递的抗原是引发特异性抗肿瘤CD8+ T细胞反应的主要因素。然而,其鉴定方法一直是可靠表征它们的主要瓶颈。因此,抗原发现领域仍有待改进。本综述旨在定义当今所谓的肿瘤抗原,主要关注CTL抗原肽。我们还回顾了迄今为止开发和应用的抗原发现技术,探讨了HLA-I肽的直接洗脱和表位的计算机预测。最后,综述的最后一部分分析了抗原发现领域未来的挑战和方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/a37aa9af2f5b/cancers-12-01660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/db7366252a21/cancers-12-01660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/2b97456ff875/cancers-12-01660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/a37aa9af2f5b/cancers-12-01660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/db7366252a21/cancers-12-01660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/2b97456ff875/cancers-12-01660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d650/7352969/a37aa9af2f5b/cancers-12-01660-g003.jpg

相似文献

1
Uncovering the Tumor Antigen Landscape: What to Know about the Discovery Process.揭示肿瘤抗原全景:关于发现过程需了解的内容。
Cancers (Basel). 2020 Jun 23;12(6):1660. doi: 10.3390/cancers12061660.
2
CD8 cytotoxic T lymphocytes in cancer immunotherapy: A review.癌症免疫治疗中的 CD8 细胞毒性 T 淋巴细胞:综述。
J Cell Physiol. 2019 Jun;234(6):8509-8521. doi: 10.1002/jcp.27782. Epub 2018 Nov 22.
3
Recent Advances in Targeting CD8 T-Cell Immunity for More Effective Cancer Immunotherapy.靶向 CD8 T 细胞免疫以实现更有效的癌症免疫治疗的最新进展。
Front Immunol. 2018 Jan 22;9:14. doi: 10.3389/fimmu.2018.00014. eCollection 2018.
4
Generation of populations of antigen-specific cytotoxic T cells using DCs transfected with DNA construct encoding HER2/neu tumor antigen epitopes.使用转染了编码HER2/neu肿瘤抗原表位的DNA构建体的树突状细胞生成抗原特异性细胞毒性T细胞群体。
BMC Immunol. 2017 Jun 20;18(1):31. doi: 10.1186/s12865-017-0219-7.
5
Therapeutic uses of anti-PD-1 and anti-PD-L1 antibodies.抗PD-1和抗PD-L1抗体的治疗用途。
Int Immunol. 2015 Jan;27(1):39-46. doi: 10.1093/intimm/dxu095. Epub 2014 Oct 16.
6
T-Cell Epitope Discovery for Therapeutic Cancer Vaccines.用于治疗性癌症疫苗的T细胞表位发现
Methods Mol Biol. 2016;1403:779-96. doi: 10.1007/978-1-4939-3387-7_45.
7
Integrating immunopeptidome analysis for the design and development of cancer vaccines.整合免疫肽组分析以用于癌症疫苗的设计与开发。
Semin Immunol. 2023 May;67:101750. doi: 10.1016/j.smim.2023.101750. Epub 2023 Mar 30.
8
A Systematic Review of Immunotherapy in Urologic Cancer: Evolving Roles for Targeting of CTLA-4, PD-1/PD-L1, and HLA-G.免疫疗法在泌尿系统肿瘤中的系统评价:CTLA-4、PD-1/PD-L1 和 HLA-G 靶向作用的不断演变。
Eur Urol. 2015 Aug;68(2):267-79. doi: 10.1016/j.eururo.2015.02.032. Epub 2015 Mar 29.
9
Identification of known and novel immunogenic T-cell epitopes from tumor antigens recognized by peripheral blood T cells from patients responding to IL-2-based treatment.从接受基于白细胞介素-2治疗的患者外周血T细胞识别的肿瘤抗原中鉴定已知和新型免疫原性T细胞表位。
Int J Cancer. 2002 Mar 20;98(3):409-14. doi: 10.1002/ijc.10205.
10
Immunodominance across HLA polymorphism: implications for cancer immunotherapy.HLA多态性中的免疫显性:对癌症免疫治疗的影响。
J Immunother. 1998 Jan;21(1):1-16.

引用本文的文献

1
Proteogenomic approach to immunopeptidomics of ovarian tumors identifies shared peptide vaccine candidates.卵巢肿瘤免疫肽组学的蛋白质基因组学方法鉴定出共享的肽疫苗候选物。
NPJ Vaccines. 2025 Aug 16;10(1):195. doi: 10.1038/s41541-025-01234-6.
2
Predicting Tumor Antigens Using the LENS Workflow Through RAFT.通过RAFT使用LENS工作流程预测肿瘤抗原。
Methods Mol Biol. 2025;2932:319-342. doi: 10.1007/978-1-0716-4566-6_18.
3
Oncolytic immunovirotherapy: finding the tumor antigen needle in the antiviral haystack.溶瘤免疫病毒疗法:在抗病毒的干草堆中寻找肿瘤抗原这根针。

本文引用的文献

1
Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes.整合蛋白质基因组深度测序和分析可准确鉴定肿瘤免疫肽组中的非经典肽。
Nat Commun. 2020 Mar 10;11(1):1293. doi: 10.1038/s41467-020-14968-9.
2
The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses.SysteMHC 图谱:免疫肽组学分析的计算管道、网站和数据库
Methods Mol Biol. 2020;2120:173-181. doi: 10.1007/978-1-0716-0327-7_12.
3
Endogenous TAP-independent MHC-I antigen presentation: not just the ER lumen.
Immunotherapy. 2025 Jun;17(8):585-594. doi: 10.1080/1750743X.2025.2513853. Epub 2025 Jun 6.
4
Molecular mimicry between parasites and cancer: a novel approach for developing cancer vaccines and therapeutic antibodies.寄生虫与癌症之间的分子模拟:开发癌症疫苗和治疗性抗体的新方法。
Cancer Immunol Immunother. 2025 May 22;74(7):212. doi: 10.1007/s00262-025-04069-1.
5
Unveiling the anti-neoplastic potential of Schistosoma mansoni-derived antigen against breast cancer: a pre-clinical study.揭示曼氏血吸虫衍生抗原对乳腺癌的抗肿瘤潜力:一项临床前研究。
Eur J Med Res. 2025 Apr 17;30(1):304. doi: 10.1186/s40001-025-02531-5.
6
Extracellular Vesicle-Based Strategies for Tumor Immunotherapy.基于细胞外囊泡的肿瘤免疫治疗策略
Pharmaceutics. 2025 Feb 14;17(2):257. doi: 10.3390/pharmaceutics17020257.
7
Ribosome profiling shows variable sensitivity to detect open reading frames for conventional and different types of cryptic T cell antigens.核糖体谱分析显示,对于常规和不同类型的隐蔽性T细胞抗原,检测开放阅读框的敏感性存在差异。
Mol Ther Methods Clin Dev. 2024 Dec 6;33(1):101391. doi: 10.1016/j.omtm.2024.101391. eCollection 2025 Mar 13.
8
Cancer vaccines: an update on recent achievements and prospects for cancer therapy.癌症疫苗:癌症治疗近期成果与前景的最新进展
Clin Exp Med. 2024 Dec 25;25(1):24. doi: 10.1007/s10238-024-01541-7.
9
Comparison of Shared Class I HLA-Bound Noncanonical Neoepitopes between Normal and Neoplastic Tissues of Pancreatic Adenocarcinoma.胰腺腺癌正常组织与肿瘤组织中共享的I类HLA结合非经典新表位的比较
Clin Cancer Res. 2025 May 15;31(10):1956-1965. doi: 10.1158/1078-0432.CCR-24-2251.
10
Optimizing Niclosamide for Cancer Therapy: Improving Bioavailability via Structural Modification and Nanotechnology.优化氯硝柳胺用于癌症治疗:通过结构修饰和纳米技术提高生物利用度
Cancers (Basel). 2024 Oct 21;16(20):3548. doi: 10.3390/cancers16203548.
内源性 TAP 非依赖性 MHC-I 抗原呈递:不仅仅是内质网腔。
Curr Opin Immunol. 2020 Jun;64:9-14. doi: 10.1016/j.coi.2019.12.003. Epub 2020 Jan 11.
4
Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature.基于深度学习与新特征的肽-主要组织相容性复合体I类结合预测
Front Genet. 2019 Nov 28;10:1191. doi: 10.3389/fgene.2019.01191. eCollection 2019.
5
Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires.检测全 T 细胞受体序列库中富集的 T 细胞表位特异性。
Front Immunol. 2019 Nov 29;10:2820. doi: 10.3389/fimmu.2019.02820. eCollection 2019.
6
The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.人类免疫肽组计划:预测和治疗免疫疾病的路线图。
Mol Cell Proteomics. 2020 Jan;19(1):31-49. doi: 10.1074/mcp.R119.001743. Epub 2019 Nov 19.
7
DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity.DeepHLApan:一种考虑 HLA-肽结合和免疫原性的新型抗原预测的深度学习方法。
Front Immunol. 2019 Nov 1;10:2559. doi: 10.3389/fimmu.2019.02559. eCollection 2019.
8
IPD-IMGT/HLA Database.免疫球蛋白基因和人类白细胞抗原数据库。
Nucleic Acids Res. 2020 Jan 8;48(D1):D948-D955. doi: 10.1093/nar/gkz950.
9
TCRpMHCmodels: Structural modelling of TCR-pMHC class I complexes.TCR-pMHC 模型:TCR-pMHC I 类复合物的结构建模。
Sci Rep. 2019 Oct 10;9(1):14530. doi: 10.1038/s41598-019-50932-4.
10
VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium.2019 年的 VDJdb:数据库扩展、新的分析基础设施和 T 细胞受体基序汇编。
Nucleic Acids Res. 2020 Jan 8;48(D1):D1057-D1062. doi: 10.1093/nar/gkz874.