Literature DB >> 29537104

Aligning physics and physiology: Engineering antibodies for radionuclide delivery.

Wen-Ting K Tsai1, Anna M Wu1.   

Abstract

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.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

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

Mesh:

Substances:

Year:  2018        PMID: 29537104      PMCID: PMC6105424          DOI: 10.1002/jlcr.3622

Source DB:  PubMed          Journal:  J Labelled Comp Radiopharm        ISSN: 0362-4803            Impact factor:   1.921


  113 in total

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