4.1 Review

Aligning physics and physiology: Engineering antibodies for radionuclide delivery

期刊

出版社

WILEY
DOI: 10.1002/jlcr.3622

关键词

antibody engineering; antibody fragment; diagnostics; ImmunoPET; protein scaffold; radioimmunotherapy; radiolabeling; therapeutics

资金

  1. Foundation for the National Institutes of Health [R01 CA174294]
  2. Jonsson Comprehensive Cancer Center [P30 CA016042]
  3. NATIONAL CANCER INSTITUTE [P30CA016042, R01CA174294] Funding Source: NIH RePORTER

向作者/读者索取更多资源

The exquisite specificity of antibodies and antibody fragments renders them excellent agents for targeted delivery of radionuclides. Radiolabeled antibodies and fragments have been successfully used for molecular imaging and radioimmunotherapy (RIT) of cell surface targets in oncology and immunology. Protein engineering has been used for antibody humanization essential for clinical applications, as well as optimization of important characteristics including pharmacokinetics, biodistribution, and clearance. Although intact antibodies have high potential as imaging and therapeutic agents, challenges include long circulation time in blood, which leads to later imaging time points post-injection and higher blood absorbed dose that may be disadvantageous for RIT. Using engineered fragments may address these challenges, as size reduction and removal of Fc function decreases serum half-life. Radiolabeled fragments and pretargeting strategies can result in high contrast images within hours to days, and a reduction of RIT toxicity in normal tissues. Additionally, fragments can be engineered to direct hepatic or renal clearance, which may be chosen based on the application and disease setting. This review discusses aligning the physical properties of radionuclides (positron, gamma, beta, alpha, and Auger emitters) with antibodies and fragments and highlights recent advances of engineered antibodies and fragments in preclinical and clinical development for imaging and therapy.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据