• 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

合成长肽个性化新抗原疫苗接种:最新进展与未来展望。

Personalized neoantigen vaccination with synthetic long peptides: recent advances and future perspectives.

作者信息

Chen Xiaotong, Yang Ju, Wang Lifeng, Liu Baorui

机构信息

The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China.

出版信息

Theranostics. 2020 May 15;10(13):6011-6023. doi: 10.7150/thno.38742. eCollection 2020.

DOI:10.7150/thno.38742
PMID:32483434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7255011/
Abstract

Therapeutic cancer vaccines are one of the most promising strategies of immunotherapy. Traditional vaccines consisting of tumor-associated antigens have met with limited success. Recently, neoantigens derived from nonsynonymous mutations in tumor cells have emerged as alternatives that can improve tumor-specificity and reduce on-target off-tumor toxicity. Synthetic peptides are a common platform for neoantigen vaccines. It has been suggested that extending short peptides into long peptides can overcome immune tolerance and induce both CD4 and CD8 T cell responses. This review will introduce the history of long peptide-based neoantigen vaccines, discuss their advantages, summarize current preclinical and clinical developments, and propose future perspectives.

摘要

治疗性癌症疫苗是免疫疗法中最具前景的策略之一。由肿瘤相关抗原组成的传统疫苗取得的成功有限。最近,源自肿瘤细胞非同义突变的新抗原已成为可提高肿瘤特异性并降低靶向非肿瘤毒性的替代方案。合成肽是新抗原疫苗的常见平台。有人提出,将短肽延伸为长肽可克服免疫耐受并诱导CD4和CD8 T细胞反应。本综述将介绍基于长肽的新抗原疫苗的历史,讨论其优势,总结当前的临床前和临床进展,并提出未来展望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682d/7255011/6410ea33897a/thnov10p6011g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682d/7255011/a7117e84d687/thnov10p6011g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682d/7255011/6410ea33897a/thnov10p6011g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682d/7255011/a7117e84d687/thnov10p6011g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682d/7255011/6410ea33897a/thnov10p6011g002.jpg

相似文献

1
Personalized neoantigen vaccination with synthetic long peptides: recent advances and future perspectives.合成长肽个性化新抗原疫苗接种:最新进展与未来展望。
Theranostics. 2020 May 15;10(13):6011-6023. doi: 10.7150/thno.38742. eCollection 2020.
2
Neoantigen identification strategies enable personalized immunotherapy in refractory solid tumors.新抗原鉴定策略使难治性实体瘤的个体化免疫治疗成为可能。
J Clin Invest. 2019 Mar 5;129(5):2056-2070. doi: 10.1172/JCI99538. Print 2019 May 1.
3
Personalized neoantigen vaccines: A new approach to cancer immunotherapy.个体化新抗原疫苗:癌症免疫治疗的新途径。
Bioorg Med Chem. 2018 Jun 1;26(10):2842-2849. doi: 10.1016/j.bmc.2017.10.021. Epub 2017 Oct 19.
4
The present status and future prospects of peptide-based cancer vaccines.基于肽的癌症疫苗的现状与未来前景。
Int Immunol. 2016 Jul;28(7):319-28. doi: 10.1093/intimm/dxw027. Epub 2016 May 28.
5
Neoantigen vaccine platforms in clinical development: understanding the future of personalized immunotherapy.处于临床开发阶段的新抗原疫苗平台:了解个性化免疫疗法的未来。
Expert Opin Investig Drugs. 2021 May;30(5):529-541. doi: 10.1080/13543784.2021.1896702. Epub 2021 Mar 31.
6
Personalized Dendritic-cell-based Vaccines Targeting Cancer Neoantigens.针对癌症新生抗原的个体化树突状细胞疫苗。
Anticancer Res. 2024 Sep;44(9):3713-3724. doi: 10.21873/anticanres.17196.
7
Advances in personalized neoantigen vaccines for cancer immunotherapy.癌症免疫治疗中个性化新抗原疫苗的进展。
Biosci Trends. 2020 Nov 4;14(5):349-353. doi: 10.5582/bst.2020.03267. Epub 2020 Sep 10.
8
A Synthetic DNA, Multi-Neoantigen Vaccine Drives Predominately MHC Class I CD8 T-cell Responses, Impacting Tumor Challenge.一种合成 DNA、多新抗原疫苗主要驱动 MHC Ⅰ类 CD8 T 细胞应答,影响肿瘤挑战。
Cancer Immunol Res. 2019 Feb;7(2):174-182. doi: 10.1158/2326-6066.CIR-18-0283. Epub 2019 Jan 24.
9
Personalized neoantigen-pulsed dendritic cell vaccines show superior immunogenicity to neoantigen-adjuvant vaccines in mouse tumor models.个性化新抗原脉冲树突状细胞疫苗在小鼠肿瘤模型中比新抗原佐剂疫苗具有更高的免疫原性。
Cancer Immunol Immunother. 2020 Jan;69(1):135-145. doi: 10.1007/s00262-019-02448-z. Epub 2019 Dec 5.
10
Cancer neoantigen: Boosting immunotherapy.癌症新生抗原:增强免疫疗法。
Biomed Pharmacother. 2020 Nov;131:110640. doi: 10.1016/j.biopha.2020.110640. Epub 2020 Aug 21.

引用本文的文献

1
Spleen-targeted NeoPol-mL242 mRNA vaccine induces robust T-cell responses in a hepatocellular carcinoma model.脾脏靶向性新型多聚体-mL242 mRNA疫苗在肝细胞癌模型中诱导强烈的T细胞应答。
J Nanobiotechnology. 2025 Sep 2;23(1):602. doi: 10.1186/s12951-025-03681-8.
2
Lung cancer vaccine strategies: exploring the spectrum from traditional to RNA-based platforms.肺癌疫苗策略:探索从传统平台到基于RNA平台的范围
Front Bioeng Biotechnol. 2025 Jun 23;13:1617352. doi: 10.3389/fbioe.2025.1617352. eCollection 2025.
3
Adjuvanted RNA Origami-A Tunable Peptide Assembly Platform for Constructing Cancer Nanovaccines.

本文引用的文献

1
pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.pVACtools:一种用于鉴定和可视化癌症新抗原的计算工具包。
Cancer Immunol Res. 2020 Mar;8(3):409-420. doi: 10.1158/2326-6066.CIR-19-0401. Epub 2020 Jan 6.
2
'Off-the-shelf' allogeneic CAR T cells: development and challenges.现成的异体嵌合抗原受体 T 细胞:开发与挑战。
Nat Rev Drug Discov. 2020 Mar;19(3):185-199. doi: 10.1038/s41573-019-0051-2. Epub 2020 Jan 3.
3
IDENTIFICATION OF MHC PEPTIDES USING MASS SPECTROMETRY FOR NEOANTIGEN DISCOVERY AND CANCER VACCINE DEVELOPMENT.
佐剂化RNA折纸——一种用于构建癌症纳米疫苗的可调节肽组装平台。
Vaccines (Basel). 2025 May 25;13(6):560. doi: 10.3390/vaccines13060560.
4
Neoantigen-Based Immunotherapy in Lung Cancer: Advances, Challenges and Prospects.肺癌中基于新抗原的免疫疗法:进展、挑战与前景
Cancers (Basel). 2025 Jun 12;17(12):1953. doi: 10.3390/cancers17121953.
5
Therapeutic Peptides: Recent Advances in Discovery, Synthesis, and Clinical Translation.治疗性肽:发现、合成及临床转化的最新进展
Int J Mol Sci. 2025 May 27;26(11):5131. doi: 10.3390/ijms26115131.
6
Vaccination with synthetic long peptide and CpG 2395 in AddaVax induces potent anti-tumor effects.在AddaVax中使用合成长肽和CpG 2395进行疫苗接种可诱导强大的抗肿瘤作用。
Exp Biol Med (Maywood). 2025 May 6;250:10509. doi: 10.3389/ebm.2025.10509. eCollection 2025.
7
Atezolizumab plus personalized neoantigen vaccination in urothelial cancer: a phase 1 trial.阿替利珠单抗联合个性化新抗原疫苗治疗尿路上皮癌:一项1期试验。
Nat Cancer. 2025 May 9. doi: 10.1038/s43018-025-00966-7.
8
Strategies for neoantigen screening and immunogenicity validation in cancer immunotherapy (Review).癌症免疫治疗中新抗原筛选及免疫原性验证策略(综述)
Int J Oncol. 2025 Jun;66(6). doi: 10.3892/ijo.2025.5749. Epub 2025 May 9.
9
Neoantigen-based immunotherapy: advancing precision medicine in cancer and glioblastoma treatment through discovery and innovation.基于新抗原的免疫疗法:通过发现与创新推动癌症和胶质母细胞瘤治疗的精准医学发展。
Explor Target Antitumor Ther. 2025 Apr 27;6:1002313. doi: 10.37349/etat.2025.1002313. eCollection 2025.
10
Mapping the landscape of gastric cancer immunotherapy: Bibliometric insights into advances and hotspots.绘制胃癌免疫治疗的全景图:文献计量学对进展与热点的洞察
World J Gastrointest Oncol. 2025 Mar 15;17(3):100997. doi: 10.4251/wjgo.v17.i3.100997.
利用质谱技术鉴定 MHC 肽,用于新抗原发现和癌症疫苗开发。
Mass Spectrom Rev. 2021 Mar;40(2):110-125. doi: 10.1002/mas.21616. Epub 2019 Dec 25.
4
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.
5
Recent advances and challenges of repurposing nanoparticle-based drug delivery systems to enhance cancer immunotherapy.近年来,纳米颗粒药物递送系统在增强癌症免疫治疗方面的再利用的进展和挑战。
Theranostics. 2019 Oct 16;9(25):7906-7923. doi: 10.7150/thno.38425. eCollection 2019.
6
Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes.通过免疫肽组学中深度基序反卷积技术对 HLA Ⅱ类表位进行稳健预测。
Nat Biotechnol. 2019 Nov;37(11):1283-1286. doi: 10.1038/s41587-019-0289-6. Epub 2019 Oct 14.
7
Predicting HLA class II antigen presentation through integrated deep learning.通过集成深度学习预测 HLA Ⅱ类抗原呈递
Nat Biotechnol. 2019 Nov;37(11):1332-1343. doi: 10.1038/s41587-019-0280-2. Epub 2019 Oct 14.
8
Structure Based Prediction of Neoantigen Immunogenicity.基于结构的新抗原免疫原性预测。
Front Immunol. 2019 Aug 28;10:2047. doi: 10.3389/fimmu.2019.02047. eCollection 2019.
9
Best practices for bioinformatic characterization of neoantigens for clinical utility.用于临床应用的新抗原生物信息学特征描述的最佳实践。
Genome Med. 2019 Aug 28;11(1):56. doi: 10.1186/s13073-019-0666-2.
10
Bioinformatic methods for cancer neoantigen prediction.用于癌症新抗原预测的生物信息学方法。
Prog Mol Biol Transl Sci. 2019;164:25-60. doi: 10.1016/bs.pmbts.2019.06.016. Epub 2019 Jul 18.