Suppr超能文献

B7-H3 靶向放射性免疫治疗人类癌症。

B7-H3-targeted Radioimmunotherapy of Human Cancer.

机构信息

Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, United States.

Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States.

出版信息

Curr Med Chem. 2020;27(24):4016-4038. doi: 10.2174/0929867326666190228120908.

Abstract

BACKGROUND

Targeted Radioimmunotherapy (RIT) is an attractive approach to selectively localize therapeutic radionuclides to malignant cells within primary and metastatic tumors while sparing normal tissues from the effects of radiation. Many human malignancies express B7-H3 on the tumor cell surface, while expression on the majority of normal tissues is limited, presenting B7-H3 as a candidate target for RIT. This review provides an overview of the general principles of targeted RIT and discusses publications that have used radiolabeled B7-H3-targeted antibodies for RIT of cancer in preclinical or clinical studies.

METHODS

Databases including PubMed, Scopus, and Google Scholar were searched for publications through June 2018 using a combination of terms including "B7-H3", "radioimmunotherapy", "targeted", "radiotherapy", and "cancer". After screening search results for relevancy, ten publications were included for discussion.

RESULTS

B7-H3-targeted RIT studies to date range from antibody development and assessment of novel Radioimmunoconjugates (RICs) in animal models of human cancer to phase II/III trials in humans. The majority of clinical studies have used B7-H3-targeted RICs for intra- compartment RIT of central nervous system malignancies. The results of these studies have indicated high tolerability and favorable efficacy outcomes, supporting further assessment of B7-H3-targeted RIT in larger trials. Preclinical B7-H3-targeted RIT studies have also shown encouraging therapeutic outcomes in a variety of solid malignancies.

CONCLUSION

B7-H3-targeted RIT studies over the last 15 years have demonstrated feasibility for clinical development and support future assessment in a broader array of human malignancies. Future directions worthy of exploration include strategies that combine B7-H3- targeted RIT with chemotherapy or immunotherapy.

摘要

背景

靶向放射免疫治疗(RIT)是一种有吸引力的方法,可以选择性地将治疗性放射性核素定位到原发性和转移性肿瘤中的恶性细胞,同时使正常组织免受辐射影响。许多人类恶性肿瘤在肿瘤细胞表面表达 B7-H3,而大多数正常组织的表达有限,这使得 B7-H3 成为 RIT 的候选靶标。本文综述了靶向 RIT 的一般原则,并讨论了使用放射性标记的 B7-H3 靶向抗体进行癌症的临床前或临床 RIT 的研究。

方法

通过组合使用包括“B7-H3”、“放射免疫治疗”、“靶向”、“放疗”和“癌症”在内的术语,从 2018 年 6 月之前在 PubMed、Scopus 和 Google Scholar 等数据库中搜索出版物。筛选搜索结果的相关性后,纳入了 10 篇论文进行讨论。

结果

迄今为止,B7-H3 靶向 RIT 的研究范围从抗体的开发和对人类癌症动物模型中新型放射性免疫偶联物(RIC)的评估到人类的 II/III 期临床试验。大多数临床研究都使用 B7-H3 靶向 RIC 对中枢神经系统恶性肿瘤进行腔内 RIT。这些研究的结果表明,该方法具有高度的耐受性和良好的疗效,支持在更大规模的试验中进一步评估 B7-H3 靶向 RIT。在各种实体恶性肿瘤中,B7-H3 靶向 RIT 的临床前研究也显示出令人鼓舞的治疗效果。

结论

在过去的 15 年中,B7-H3 靶向 RIT 的研究已经证明了其在临床开发中的可行性,并支持在更广泛的人类恶性肿瘤中进行未来的评估。未来值得探索的方向包括将 B7-H3 靶向 RIT 与化疗或免疫疗法相结合的策略。

相似文献

1
B7-H3-targeted Radioimmunotherapy of Human Cancer.B7-H3 靶向放射性免疫治疗人类癌症。
Curr Med Chem. 2020;27(24):4016-4038. doi: 10.2174/0929867326666190228120908.
6
B7-H3 targeted antibody-based immunotherapy of malignant diseases.B7-H3 靶向抗体免疫治疗恶性疾病。
Expert Opin Biol Ther. 2021 May;21(5):587-602. doi: 10.1080/14712598.2021.1862791. Epub 2020 Dec 21.
7
B7-H3-targeted CAR-T cell therapy for solid tumors.B7-H3 靶向 CAR-T 细胞疗法治疗实体瘤。
Int Rev Immunol. 2022;41(6):625-637. doi: 10.1080/08830185.2022.2102619. Epub 2022 Jul 20.
9
B7-H3: An Attractive Target for Antibody-based Immunotherapy.B7-H3:抗体免疫治疗的一个有吸引力的靶点。
Clin Cancer Res. 2021 Mar 1;27(5):1227-1235. doi: 10.1158/1078-0432.CCR-20-2584. Epub 2020 Oct 13.

本文引用的文献

2
Cancer stem cell in breast cancer therapeutic resistance.乳腺癌治疗抵抗中的癌症干细胞。
Cancer Treat Rev. 2018 Sep;69:152-163. doi: 10.1016/j.ctrv.2018.07.004. Epub 2018 Jul 18.
6
B7-H3 in Cancer - Beyond Immune Regulation.癌症中的B7-H3——超越免疫调节
Trends Cancer. 2018 Jun;4(6):401-404. doi: 10.1016/j.trecan.2018.03.010. Epub 2018 Apr 20.

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