放射免疫疗法
放射性核素治疗
化学
癌症治疗
计算生物学
抗体
癌症
选择(遗传算法)
核素
医学物理学
核医学
医学
单克隆抗体
免疫学
内科学
人工智能
计算机科学
生物
物理
量子力学
作者
Lukas M. Carter,Sophie Poty,Sai Kiran Sharma,Jason S. Lewis
摘要
Intact antibodies and their truncated counterparts (eg, Fab, scFv fragments) are generally exquisitely specific and selective vectors, enabling recognition of individual cancer-associated molecular phenotypes against a complex and dynamic biomolecular background. Complementary alignment of these advantages with unique properties of radionuclides is a defining paradigm in both radioimmunoimaging and radioimmunotherapy, which remain some of the most adept and promising tools for cancer diagnosis and treatment. This review discusses how translational potency can be maximized through rational selection of antibody-nuclide couples for radioimmunoimaging/therapy in preclinical models.
科研通智能强力驱动
Strongly Powered by AbleSci AI