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多价、多特异性抗体在癌症治疗和分子成像方面的改进。

Improved cancer therapy and molecular imaging with multivalent, multispecific antibodies.

机构信息

Center for Molecular Medicine and Immunology (CMMI), Belleville, New Jersey, USA.

出版信息

Cancer Biother Radiopharm. 2010 Feb;25(1):1-12. doi: 10.1089/cbr.2009.0690.

Abstract

Antibodies are highly versatile proteins with the ability to be used to target diverse compounds, such as radionuclides for imaging and therapy, or drugs and toxins for therapy, but also can be used unconjugated to elicit therapeutically beneficial responses, usually with minimal toxicity. This update describes a new procedure for forming multivalent and/or multispecific proteins, known as the dock-and-lock (DNL) technique. Developed as a procedure for preparing bispecific antibodies capable of binding divalently to a tumor antigen and monovalently to a radiolabeled hapten-peptide for pretargeted imaging and therapy, this methodology has the flexibility to create a number of other biologic agents of therapeutic interest. A variety of constructs, based on anti-CD20 and CD22 antibodies, have been made, with results showing that multispecific antibodies have very different properties from the respective parental monospecific antibodies. The technique is not restricted to antibody combination, but other biologics, such as interferon-alpha2b, have been prepared. These types of constructs not only allow small biologics to be sustained in the blood longer, but also to be selectively targeted. Thus, DNL technology is a highly flexible platform that can be used to prepare many different types of agents that could further improve cancer detection and therapy.

摘要

抗体是多功能蛋白,可用于靶向多种化合物,如放射性核素用于成像和治疗,或药物和毒素用于治疗,但也可用于未缀合以引起治疗有益反应,通常毒性最小。本更新描述了一种形成多价和/或多特异性蛋白的新方法,称为对接锁定(DNL)技术。该方法作为一种制备能够二价结合肿瘤抗原和单价结合放射性标记半抗原肽的双特异性抗体的方法,具有灵活性,可以制备许多其他具有治疗意义的生物制剂。已经制备了基于抗 CD20 和 CD22 抗体的各种构建体,结果表明多特异性抗体的性质与相应的亲本单特异性抗体有很大不同。该技术不仅限于抗体组合,还可以制备其他生物制剂,如干扰素-α2b。这些类型的构建体不仅可以使小分子生物在血液中维持更长时间,而且还可以进行选择性靶向。因此,DNL 技术是一个高度灵活的平台,可以用于制备许多不同类型的制剂,从而进一步提高癌症的检测和治疗效果。

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