Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Trends Mol Med. 2023 Jan;29(1):48-60. doi: 10.1016/j.molmed.2022.09.012. Epub 2022 Nov 4.
Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating cancer. Despite their potential, to date, they have shown limited clinical utility and further antibody optimization is urgently needed to improve their therapeutic potential. Here, we discuss key antibody engineering approaches for improving the activity of antibody agonists by optimizing their valency, specificity for different receptors (e.g., bispecific antibodies) and epitopes (e.g., biepitopic or biparatopic antibodies), and Fc affinity for Fcγ receptors (FcγRs). These powerful approaches are being used to develop the next generation of cancer immunotherapeutics with improved efficacy and safety.
针对免疫检查点的激动型抗体,如肿瘤坏死因子受体 (TNFR) 超家族中的那些,是一类新兴的重要治疗药物,因为它们能够调节免疫细胞的活性,特别是用于治疗癌症。尽管它们具有潜力,但迄今为止,它们的临床应用有限,迫切需要进一步优化抗体以提高其治疗潜力。在这里,我们讨论了通过优化抗体的效价、针对不同受体(例如双特异性抗体)和表位(例如双表位或双功能表位抗体)以及 Fc 受体(FcγRs)的 Fc 亲和力来提高抗体激动剂活性的关键抗体工程方法。这些强大的方法正在被用于开发具有改善的疗效和安全性的下一代癌症免疫疗法。