• 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

放射性金属螯合物对使用放射性标记亲合素分子的免疫检查点蛋白体内可视化的影响。

Impact of Radiometal Chelates on In Vivo Visualization of Immune Checkpoint Protein Using Radiolabeled Affibody Molecules.

作者信息

Tolmachev Vladimir, Papalanis Eleftherios, Bezverkhniaia Ekaterina A, Rosly Alia Hani, Vorobyeva Anzhelika, Orlova Anna, Carlqvist Matilda, Frejd Fredrik Y, Oroujeni Maryam

机构信息

Department of Immunology, Genetics and Pathology, Uppsala University, 751 85 Uppsala, Sweden.

Department of Medicinal Chemistry, Uppsala University, 751 83 Uppsala, Sweden.

出版信息

ACS Pharmacol Transl Sci. 2025 Feb 19;8(3):706-717. doi: 10.1021/acsptsci.4c00539. eCollection 2025 Mar 14.

DOI:10.1021/acsptsci.4c00539
PMID:40109742
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11915182/
Abstract

The immune checkpoint protein B7-H3 (CD276) is overexpressed in various cancers and is an attractive target for the treatment of malignant tumors. Radionuclide molecular imaging of B7-H3 expression using engineered scaffold proteins such as Affibody molecules is a promising strategy for the selection of potential responders to B7-H3-targeted therapy. Feasibility of B7-H3 imaging was demonstrated using two Tc-labeled probes, AC12 and an affinity-matured SYNT179 using a [Tc]Tc-GGGC label. This study aimed to evaluate whether the use of a residualizing In-based label provides better imaging contrast compared with a nonresidualizing label. To do that, SYNT179 and AC12-GGGC Affibody molecules were labeled with In using (4,10-bis-carboxymethyl-7-{[2-(2,5-dioxo-3-thioxo-pyrrolidin-1-yl)-ethylcarbamoyl]-methyl}-1,4,7,10-tetraaza-cyclododec-1-yl)-acetic acid (maleimide-DOTA) chelator, site-specifically coupled to the C-terminus of Affibody molecules. The binding affinities of the In-labeled conjugates to B7-H3-expressing living cells were higher compared with the affinities of the Tc-labeled variants. In mice with B7-H3-expressing xenografts, the tumor uptake of In-labeled proteins (3.6 ± 0.3 and 1.8 ± 0.5%ID/g for [In]In-SYNT179-DOTA and [In]In-AC12-DOTA, respectively) was significantly ( < 0.05, ANOVA) higher than those for Tc-labeled counterparts (1.6 ± 0.2%ID/g and 0.8 ± 0.2%ID/g for [Tc]Tc-SYNT179 and [Tc]Tc-AC12-GGGC, respectively). The best variant, [In]In-SYNT179-DOTA, provided a tumor-to-blood ratio of 31.1 ± 2.9, which was twice higher than that for [Tc]Tc-SYNT179 and 7-fold higher than that for [Tc]Tc-AC12-GGGC. Both In-labeled Affibody molecules had higher renal retention compared with Tc-labeled ones, but the hepatobiliary excretion of In-labeled proteins was appreciably lower, potentially improving the imaging of abdominal metastases. Overall, [In]In-SYNT179-DOTA is the most promising tracer for visualization of B7-H3 expression.

摘要

免疫检查点蛋白B7-H3(CD276)在多种癌症中过表达,是恶性肿瘤治疗的一个有吸引力的靶点。使用工程化支架蛋白(如亲合素分子)对B7-H3表达进行放射性核素分子成像,是选择B7-H3靶向治疗潜在应答者的一种有前景的策略。使用两种锝标记的探针AC12和使用[Tc]Tc-GGGC标记的亲和力成熟的SYNT179,证明了B7-H3成像的可行性。本研究旨在评估与非残留标记相比,使用残留性铟基标记是否能提供更好的成像对比度。为此,使用(4,10-双羧甲基-7-{[2-(2,5-二氧代-3-硫代吡咯烷-1-基)-乙基氨基甲酰基]-甲基}-1,4,7,10-四氮杂环十二烷基)-乙酸(马来酰亚胺-DOTA)螯合剂将SYNT179和AC12-GGGC亲合素分子用铟标记,该螯合剂位点特异性地偶联到亲合素分子的C末端。与锝标记的变体相比,铟标记的结合物与表达B7-H3的活细胞的结合亲和力更高。在表达B7-H3的异种移植小鼠中,铟标记蛋白的肿瘤摄取([In]In-SYNT179-DOTA和[In]In-AC12-DOTA分别为3.6±0.3和1.8±0.5%ID/g)显著(<0.05,方差分析)高于锝标记对应物([Tc]Tc-SYNT179和[Tc]Tc-AC12-GGGC分别为1.6±0.2%ID/g和0.8±0.2%ID/g)。最佳变体[In]In-SYNT179-DOTA的肿瘤与血液比值为31.1±2.9,是[Tc]Tc-SYNT179的两倍,是[Tc]Tc-AC12-GGGC的7倍。与锝标记的亲合素分子相比,两种铟标记的亲合素分子的肾脏滞留率更高,但铟标记蛋白的肝胆排泄明显更低,这可能会改善腹部转移灶的成像。总体而言,[In]In-SYNT179-DOTA是可视化B7-H3表达最有前景的示踪剂。

相似文献

1
Impact of Radiometal Chelates on In Vivo Visualization of Immune Checkpoint Protein Using Radiolabeled Affibody Molecules.放射性金属螯合物对使用放射性标记亲合素分子的免疫检查点蛋白体内可视化的影响。
ACS Pharmacol Transl Sci. 2025 Feb 19;8(3):706-717. doi: 10.1021/acsptsci.4c00539. eCollection 2025 Mar 14.
2
Evaluation of affinity matured Affibody molecules for imaging of the immune checkpoint protein B7-H3.评估亲和成熟的 Affibody 分子对免疫检查点蛋白 B7-H3 的成像作用。
Nucl Med Biol. 2023 Sep-Oct;124-125:108384. doi: 10.1016/j.nucmedbio.2023.108384. Epub 2023 Sep 1.
3
Systemic treatments for metastatic cutaneous melanoma.转移性皮肤黑色素瘤的全身治疗
Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2.
4
Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.两种现代生存预测工具 SORG-MLA 和 METSSS 在接受手术联合放疗和单纯放疗治疗有症状长骨转移患者中的比较。
Clin Orthop Relat Res. 2024 Dec 1;482(12):2193-2208. doi: 10.1097/CORR.0000000000003185. Epub 2024 Jul 23.
5
[Tc]Tc-MY6349 Probe for Trop2-Targeted SPECT Imaging: From Preclinical to Pilot Clinical Study.用于靶向Trop2的单光子发射计算机断层显像(SPECT)成像的锝[Tc]Tc-MY6349探针:从临床前研究到初步临床研究
J Nucl Med. 2025 Apr 1;66(4):543-551. doi: 10.2967/jnumed.124.268564.
6
Evaluation of an Affibody-Based Binder for Imaging of Immune Check-Point Molecule B7-H3.一种基于亲和体的免疫检查点分子B7-H3成像结合物的评估
Pharmaceutics. 2022 Aug 25;14(9):1780. doi: 10.3390/pharmaceutics14091780.
7
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.系统性药理学治疗慢性斑块状银屑病:网络荟萃分析。
Cochrane Database Syst Rev. 2021 Apr 19;4(4):CD011535. doi: 10.1002/14651858.CD011535.pub4.
8
Adefovir dipivoxil and pegylated interferon alfa-2a for the treatment of chronic hepatitis B: a systematic review and economic evaluation.阿德福韦酯与聚乙二醇化干扰素α-2a治疗慢性乙型肝炎:系统评价与经济学评估
Health Technol Assess. 2006 Aug;10(28):iii-iv, xi-xiv, 1-183. doi: 10.3310/hta10280.
9
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.慢性斑块状银屑病的全身药理学治疗:一项网状荟萃分析。
Cochrane Database Syst Rev. 2017 Dec 22;12(12):CD011535. doi: 10.1002/14651858.CD011535.pub2.
10
The effectiveness and cost-effectiveness of carmustine implants and temozolomide for the treatment of newly diagnosed high-grade glioma: a systematic review and economic evaluation.卡莫司汀植入剂与替莫唑胺治疗新诊断的高级别胶质瘤的有效性和成本效益:一项系统评价与经济学评估
Health Technol Assess. 2007 Nov;11(45):iii-iv, ix-221. doi: 10.3310/hta11450.

本文引用的文献

1
New Emerging Targets in Cancer Immunotherapy: The Role of B7-H3.癌症免疫治疗中的新兴靶点:B7-H3的作用
Vaccines (Basel). 2024 Jan 5;12(1):54. doi: 10.3390/vaccines12010054.
2
Evaluation of affinity matured Affibody molecules for imaging of the immune checkpoint protein B7-H3.评估亲和成熟的 Affibody 分子对免疫检查点蛋白 B7-H3 的成像作用。
Nucl Med Biol. 2023 Sep-Oct;124-125:108384. doi: 10.1016/j.nucmedbio.2023.108384. Epub 2023 Sep 1.
3
Heterogeneous Expression of PD-L1, B7x, B7-H3, and HHLA2 in Pulmonary Sarcomatoid Carcinoma and the Related Regulatory Signaling Pathways.肺肉瘤样癌中PD-L1、B7x、B7-H3和HHLA2的异质性表达及相关调控信号通路
Cancers (Basel). 2023 Jun 27;15(13):3372. doi: 10.3390/cancers15133372.
4
Accurate and efficient protein sequence design through learning concise local environment of residues.通过学习残基简洁的局部环境来实现准确高效的蛋白质序列设计。
Bioinformatics. 2023 Mar 1;39(3). doi: 10.1093/bioinformatics/btad122.
5
New frontiers in immune checkpoint B7-H3 (CD276) research and drug development.免疫检查点 B7-H3(CD276)研究和药物开发的新前沿。
Mol Cancer. 2023 Mar 2;22(1):43. doi: 10.1186/s12943-023-01751-9.
6
Antibodies to watch in 2023.2023 年值得关注的抗体药物
MAbs. 2023 Jan-Dec;15(1):2153410. doi: 10.1080/19420862.2022.2153410.
7
Phase 1 study of intraventricular I-omburtamab targeting B7H3 (CD276)-expressing CNS malignancies.颅内注射 I-omburtamab 治疗表达 B7H3(CD276)的中枢神经系统恶性肿瘤的 1 期研究。
J Hematol Oncol. 2022 Nov 12;15(1):165. doi: 10.1186/s13045-022-01383-4.
8
Evaluation of an Affibody-Based Binder for Imaging of Immune Check-Point Molecule B7-H3.一种基于亲和体的免疫检查点分子B7-H3成像结合物的评估
Pharmaceutics. 2022 Aug 25;14(9):1780. doi: 10.3390/pharmaceutics14091780.
9
Expression and Prognostic Value of B7 Family Immune Checkpoints in Pancreatic Neuroendocrine Tumors.B7家族免疫检查点在胰腺神经内分泌肿瘤中的表达及预后价值
Arch Pathol Lab Med. 2023 Feb 1;147(2):193-201. doi: 10.5858/arpa.2021-0377-OA.
10
Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning.基于深度学习的血浆蛋白结合预测:聚焦环肽的残基水平特征和环状结构
Bioinformatics. 2022 Jan 27;38(4):1110-1117. doi: 10.1093/bioinformatics/btab726.