生物仿制药
抗体
计算生物学
一致性(知识库)
序列(生物学)
质量(理念)
水准点(测量)
产品(数学)
生物
控制(管理)
肽序列
肽
重组DNA
表达式(计算机科学)
抗体库
抗体反应
计算机科学
蛋白质质量
作者
Gangling Xu,Gang Wu,Chunbo Cui,Sihan Wei,Maoqing Duan,Yongfei Cui,Yu ting Mei,Chuanfei Yu,Lan Wang
摘要
Background: Sequence variants (SVs), unintended amino acid substitutions, represent a quality attribute of antibody therapeutics with potential safety and efficacy implications. Although control strategies are evolving, a comprehensive landscape of SVs in commercial antibody products, including biosimilars, innovators, and those from different expression systems or geographical origins, remains largely unexplored. Methods: ) expression systems, and diverse formats (mAbs, bispecifics, ADCs) and subclasses (IgG1, IgG2, IgG4). Results: Across all products, 3006 SV occurrences were identified. The vast majority (92.5%) were ≤0.1% per site. Only 7.5% (226 SV occurrences) exceeded 0.1%, 2.4% (72 SV occurrences) exceeded 0.2%, and a minimal 0.4% (12 SV occurrences) exceeded 0.5%. SV levels of Chinese biosimilars and innovators were comparable to international counterparts. While prokaryotic-derived products showed more SVs above 0.2%, SV levels showed no significant correlation with antibody subclasses or formats. Batch-to-batch consistency was excellent across all products. Conclusions: This study provides the largest empirical SV dataset for marketed antibody therapeutics to date. It demonstrates manufacturing processes maintain SV levels below 0.2% per site and reveals no inherent SV disparity across product origin, subclass, or format. Empirically, this 0.2% threshold serves as a pragmatic benchmark for commercial antibody quality control. These findings provide a science-based reference for establishing cell line screening in-process limits, refining industrial SV control strategies, and guiding regulatory science.
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