• 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

通过多组学分析和噬菌体-真核细胞相互作用构建个体化癌症治疗策略。

Building Personalized Cancer Therapeutics through Multi-Omics Assays and Bacteriophage-Eukaryotic Cell Interactions.

机构信息

Complete Omics Inc., 1448 S. Rolling Rd, Baltimore, MD 21227, USA.

出版信息

Int J Mol Sci. 2021 Sep 8;22(18):9712. doi: 10.3390/ijms22189712.

DOI:10.3390/ijms22189712
PMID:34575870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8468737/
Abstract

Bacteriophage-eukaryotic cell interaction provides the biological foundation of Phage Display technology, which has been widely adopted in studies involving protein-protein and protein-peptide interactions, and it provides a direct link between the proteins and the DNA encoding them. Phage display has also facilitated the development of new therapeutic agents targeting personalized cancer mutations. Proteins encoded by mutant genes in cancers can be processed and presented on the tumor cell surface by human leukocyte antigen (HLA) molecules, and such mutant peptides are called Neoantigens. Neoantigens are naturally existing tumor markers presented on the cell surface. In clinical settings, the T-cell recognition of neoantigens is the foundation of cancer immunotherapeutics. This year, we utilized phage display to successfully develop the 1st antibody-based neoantigen targeting approach for next-generation personalized cancer therapeutics. In this article, we discussed the strategies for identifying neoantigens, followed by using phage display to create personalized cancer therapeutics-a complete pipeline for personalized cancer treatment.

摘要

噬菌体-真核细胞相互作用为噬菌体展示技术提供了生物学基础,该技术已广泛应用于蛋白质-蛋白质和蛋白质-肽相互作用的研究中,并为蛋白质与其编码 DNA 之间建立了直接联系。噬菌体展示技术还促进了针对个性化癌症突变的新型治疗药物的开发。癌症中突变基因编码的蛋白质可以通过人类白细胞抗原(HLA)分子在肿瘤细胞表面进行加工和呈递,此类突变肽被称为新抗原。新抗原是存在于细胞表面的天然肿瘤标志物。在临床环境中,T 细胞对新抗原的识别是癌症免疫疗法的基础。今年,我们成功地利用噬菌体展示技术开发了针对下一代个性化癌症治疗的首个基于抗体的新型抗原靶向方法。本文讨论了鉴定新抗原的策略,然后使用噬菌体展示技术创建个性化癌症治疗方法——即完整的个性化癌症治疗流水线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b850/8468737/1713231025af/ijms-22-09712-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b850/8468737/1713231025af/ijms-22-09712-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b850/8468737/1713231025af/ijms-22-09712-g001.jpg

相似文献

1
Building Personalized Cancer Therapeutics through Multi-Omics Assays and Bacteriophage-Eukaryotic Cell Interactions.通过多组学分析和噬菌体-真核细胞相互作用构建个体化癌症治疗策略。
Int J Mol Sci. 2021 Sep 8;22(18):9712. doi: 10.3390/ijms22189712.
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
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.
5
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.
6
Determinants for Neoantigen Identification.用于新抗原鉴定的决定因素。
Front Immunol. 2019 Jun 24;10:1392. doi: 10.3389/fimmu.2019.01392. eCollection 2019.
7
Targeting the undruggable: immunotherapy meets personalized oncology in the genomic era.靶向不可成药靶点:免疫疗法在基因组时代与个性化肿瘤学相遇。
Ann Oncol. 2015 Dec;26(12):2367-74. doi: 10.1093/annonc/mdv382. Epub 2015 Sep 14.
8
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.
9
Therapeutic cancer vaccines: From initial findings to prospects.治疗性癌症疫苗:从初步发现到展望。
Immunol Lett. 2018 Apr;196:11-21. doi: 10.1016/j.imlet.2018.01.011. Epub 2018 Feb 4.
10
Isolation of T cell receptors targeting recurrent neoantigens in hematological malignancies.靶向血液系统恶性肿瘤复发性新生抗原的 T 细胞受体的分离。
J Immunother Cancer. 2018 Jul 13;6(1):70. doi: 10.1186/s40425-018-0386-y.

引用本文的文献

1
Neoantigen vaccine and neoantigen-specific cell adoptive transfer therapy in solid tumors: Challenges and future directions.实体瘤中的新抗原疫苗和新抗原特异性细胞过继性转移疗法:挑战与未来方向
Cancer Innov. 2022 Aug 30;1(2):168-182. doi: 10.1002/cai2.26. eCollection 2022 Aug.
2
TP53 mutations in Romanian patients with colorectal cancer.罗马尼亚结直肠癌患者中的TP53突变
Genes Environ. 2023 Jul 1;45(1):20. doi: 10.1186/s41021-023-00277-2.

本文引用的文献

1
Phage steering of antibiotic-resistance evolution in the bacterial pathogen, .噬菌体对细菌病原体抗生素耐药性进化的引导 , 。(你提供的原文似乎不完整)
Evol Med Public Health. 2020 Jul 11;2020(1):148-157. doi: 10.1093/emph/eoaa026. eCollection 2020.
2
FDA approves 100th monoclonal antibody product.美国食品药品监督管理局批准第100种单克隆抗体产品。
Nat Rev Drug Discov. 2021 Jul;20(7):491-495. doi: 10.1038/d41573-021-00079-7.
3
Targeting a neoantigen derived from a common mutation.靶向一种常见突变衍生的新抗原。
Science. 2021 Mar 5;371(6533). doi: 10.1126/science.abc8697. Epub 2021 Mar 1.
4
Bispecific antibodies targeting mutant neoantigens.靶向突变新抗原的双特异性抗体。
Sci Immunol. 2021 Mar 1;6(57). doi: 10.1126/sciimmunol.abd5515.
5
Phage-Antibiotic Synergy Is Driven by a Unique Combination of Antibacterial Mechanism of Action and Stoichiometry.噬菌体-抗生素协同作用是由独特的抗菌作用机制和化学计量比组合驱动的。
mBio. 2020 Aug 4;11(4):e01462-20. doi: 10.1128/mBio.01462-20.
6
Shared neoantigens: ideal targets for off-the-shelf cancer immunotherapy.共享新抗原:现成癌症免疫疗法的理想靶点。
Pharmacogenomics. 2020 Jun;21(9):637-645. doi: 10.2217/pgs-2019-0184. Epub 2020 May 19.
7
Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention.血液检测结合 PET-CT 筛查癌症并指导干预的可行性。
Science. 2020 Jul 3;369(6499). doi: 10.1126/science.abb9601. Epub 2020 Apr 28.
8
Mass Spectrometry-Based Identification of MHC-Associated Peptides.基于质谱法鉴定与主要组织相容性复合体相关的肽段
Cancers (Basel). 2020 Feb 26;12(3):535. doi: 10.3390/cancers12030535.
9
Cancer statistics, 2020.癌症统计数据,2020 年。
CA Cancer J Clin. 2020 Jan;70(1):7-30. doi: 10.3322/caac.21590. Epub 2020 Jan 8.
10
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.