Structure-guided and phage-assisted evolution of a therapeutic anti-EGFR antibody to reverse acquired resistance.
Xinlei ZhuangZhe WangJiansheng FanXuefei BaiYingchun XuJames Jeiwen ChouTing-Jun HouRongchang ChenLiqiang PanPublished in: Nature communications (2022)
Acquired resistance to cetuximab in colorectal cancers is partially mediated by the acquisition of mutations located in the cetuximab epitope in the epidermal growth factor receptor (EGFR) ectodomain and hinders the clinical application of cetuximab. We develop a structure-guided and phage-assisted evolution approach for cetuximab evolution to reverse EGFR S492R - or EGFR G465R -driven resistance without altering the binding epitope or undermining antibody efficacy. Two evolved cetuximab variants, Ctx-VY and Ctx-Y104D, exhibit a restored binding ability with EGFR S492R , which harbors the most common resistance substitution, S492R. Ctx-W52D exhibits restored binding with EGFR harboring another common cetuximab resistance substitution, G465R (EGFR G465R ). All the evolved cetuximab variants effectively inhibit EGFR activation and downstream signaling and induce the internalization and degradation of EGFR S492R and EGFR G465R as well as EGFR WT . The evolved cetuximab variants (Ctx-VY, Ctx-Y104D and Ctx-W52D) with one or two amino acid substitutions in the complementarity-determining region inherit the optimized physical and chemical properties of cetuximab to a great extent, thus ensuring their druggability. Our data collectively show that structure-guided and phage-assisted evolution is an efficient and general approach for reversing receptor mutation-mediated resistance to therapeutic antibody drugs.
Keyphrases
- epidermal growth factor receptor
- small cell lung cancer
- tyrosine kinase
- advanced non small cell lung cancer
- metastatic colorectal cancer
- locally advanced
- klebsiella pneumoniae
- squamous cell carcinoma
- copy number
- radiation therapy
- machine learning
- cystic fibrosis
- deep learning
- genome wide
- artificial intelligence
- big data