ArticleAnalytical chemistry2025
Streamlined High-Throughput Data Analysis Workflow for Antibody-Drug Conjugate Biotransformation Characterization.
Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Article
- Integrating In Vitro Analytics for Improved Antibody-Drug Conjugate Candidate Selection.Cancers · 2026Article
- New Frontiers in ADC Analysis: Advances in Chromatography, Electrophoresis, and Mass Spectrometry.The AAPS journal · 2025Review
- Antibody-drug conjugates in cancer therapy: current landscape, challenges, and future directions.Molecular cancer · 2025Review
- Review
- Detailed Structural Elucidation of Antibody-Drug Conjugate Biotransformation Species Using High Resolution Multiple Reaction Monitoring Mass Spectrometry with Orthogonal Dissociation Methods.ACS pharmacology & translational science · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research into antibody-drug conjugates (ADCs) is currently at an inflection point due to recent clinical impact. ADC biotransformation analysis is key for understanding the structural integrity of ADCs in vivo and is a critical aspect of drug development, especially at the lead selection stage. Data analysis of biotansformed products is hindered by the manual and time-consuming analyte identification process oftentimes taking days to weeks. We developed a streamlined data analysis workflow enabling more automated peak identification using several commercial software tools that significantly improve data processing efficiency. A linker-payload biotransformation library was created for each new molecule and combined with antibody sequence information for peak matching. As a proof of concept, we tested this workflow across different payload and linker types, acquired using different mass spectrometers: an example using a topoisomerase I inhibitor-conjugated ADC (SCIEX ZenoTOF 7600) and a comparison to a published in vivo ADC biotransformation data set for a pyrrolobenzodiazepine-conjugated ADC (ThermoFisher QE HF-X). Using this more automated workflow, we rapidly identified major biotransformation species that were previously found manually including loss of linker-payload, thiosuccinimide ring hydrolysis, cysteinylation at the deconjugation site(s), and partial linker-payload cleavage. This improved data-analysis workflow has demonstrated superb effectiveness in streamlining overall ADC biotransformation identification and enabled quantification that was highly comparable to previously obtained results. Broadening application of advanced analytical techniques to study biotherapeutic biotransformation can now more effectively impact drug development by enabling faster design-test-analyze cycle times, critical in early drug discovery settings, opening new avenues for more effective collaboration between analytical chemists and bioconjugate engineers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.