Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.
Department of Cell and Regenerative Biology , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.
Anal Chem. 2019 Sep 17;91(18):11661-11669. doi: 10.1021/acs.analchem.9b02194. Epub 2019 Sep 6.
Antibody-drug conjugates (ADCs) are designed to combine the target specificity of monoclonal antibodies and potent cytotoxin drugs to achieve better therapeutic outcomes. Comprehensive evaluation of the quality attributes of ADCs is critical for drug development but remains challenging due to heterogeneity of the construct. Currently, peptide mapping with reversed-phase liquid chromatography (RPLC) coupled to mass spectrometry (MS) is the predominant approach to characterize ADCs. However, it is suboptimal for sequence characterization and quantification of ADCs because it lacks a comprehensive view of coexisting variants and suffers from varying ionization effects of drug-conjugated peptides compared to unconjugated counterparts. Here, we present the first middle-down RPLC-MS analysis of both cysteine (Adcetris; BV) and lysine (Kadcyla; T-DM1) conjugated ADCs at the subunit level (∼25 kDa) with electron transfer dissociation (ETD). We successfully achieved high-resolution separation of subunit isomers arising from different drug conjugation and subsequently localized the conjugation sites. Moreover, we obtained a comprehensive overview of the microvariants associated with each subunits and characterized them such as oxidized variants with different sites. Furthermore, we observed relatively high levels of conjugation near complementarity-determining regions (CDRs) from the heavy chain but no drug conjugation near CDRs of light chain (Lc) from lysine conjugated T-DM1. Based on the extracted ion chromatograms, we accurately measured average drug to antibody ratio (DAR) values and relative occupancy of drug-conjugated subunits. Overall, the middle-down MS approach enables the evaluation of multiple quality attributes including DAR, positional isomers, conjugation sites, occupancy, and microvariants, which potentially opens up a new avenue to characterize ADCs.
抗体药物偶联物 (ADC) 旨在结合单克隆抗体的靶向特异性和有效细胞毒素药物,以实现更好的治疗效果。全面评估 ADC 的质量属性对于药物开发至关重要,但由于构建体的异质性,这仍然具有挑战性。目前,反相液相色谱 (RPLC) 与质谱 (MS) 联用的肽图分析是表征 ADC 的主要方法。然而,由于它缺乏对共存变体的全面了解,并且与未缀合的对应物相比,药物缀合肽的离子化效果不同,因此对于 ADC 的序列表征和定量来说并不理想。在这里,我们首次在亚单位水平(约 25 kDa)上使用电子转移解离 (ETD) 对半胱氨酸(Adcetris;BV)和赖氨酸(Kadcyla;T-DM1)缀合 ADC 进行了自上而下的 RPLC-MS 分析。我们成功地实现了不同药物缀合引起的亚单位异构体的高分辨率分离,并随后定位了缀合位点。此外,我们获得了与每个亚单位相关的微变体的全面概述,并对其进行了表征,例如具有不同位点的氧化变体。此外,我们观察到在重链的互补决定区 (CDR) 附近存在相对较高水平的缀合,但在赖氨酸缀合的 T-DM1 的轻链 (Lc) 的 CDR 附近没有药物缀合。基于提取的离子色谱图,我们准确地测量了平均药物抗体比 (DAR) 值和药物缀合亚单位的相对占有率。总体而言,自上而下的 MS 方法能够评估多个质量属性,包括 DAR、位置异构体、缀合位点、占有率和微变体,这可能为表征 ADC 开辟了一条新途径。