High-Throughput Multi-attribute Analysis of Antibody-Drug Conjugates Enabled by Trapped Ion Mobility Spectrometry and Top-Down Mass Spectrometry

Antibody-drug conjugates (ADCs) are one of the fastest growing classes of anticancer therapies. Combining the high targeting specificity of monoclonal antibodies (mAbs) with cytotoxic small molecule drugs, ADCs are complex molecular entities that are intrinsically heterogeneous. Primary sequence variants, varied drug-to-antibody ratio (DAR) species, and conformational changes in the starting mAb structure upon drug conjugation must be monitored to ensure the safety and efficacy of ADCs. Herein, we have developed a high-throughput method for the analysis of cysteine-linked ADCs using trapped ion mobility spectrometry (TIMS) combined with top-down mass spectrometry (MS) on a Bruker timsTOF Pro. This method can analyze ADCs (similar to 150 kDa) by TIMS followed by a three-tiered top-down MS characterization strategy for multi-attribute analysis. First, the charge state distribution and DAR value of the ADC are monitored (MS1). Second, the intact mass of subunits dissociated from the ADC by low-energy collision-induced dissociation (CID) is determined (MS2). Third, the primary sequence for the dissociated subunits is characterized by CID fragmentation using elevated collisional energies (MS3). We further automate this workflow by directly injecting the ADC and using MS segmentation to obtain all three tiers of MS information in a single 3-min run. Overall, this work highlights a multi-attribute top-down MS characterization method that possesses unparalleled speed for high-throughput characterization of ADCs.

Automated summary

Antibody-drug conjugates (ADCs) are complex molecular entities with high targeting specificity and cytotoxicity, requiring monitoring of multiple attributes for safety and efficacy. A high-throughput method combining trapped ion mobility spectrometry (TIMS) and top-down mass spectrometry (MS) has been developed for rapid and accurate characterization of ADCs.