An automated workflow based on data independent acquisition for practical and high-throughput personalized assay development and minimal residual disease monitoring in multiple myeloma patients

Charissa Wijnands, Gad Armony, Somayya Noori, Jolein Gloerich, Vincent Bonifay, Hélène Caillon, Theo M. Luider, Sven Brehmer, Lennard Pfennig, Tharan Srikumar, Dennis Trede, Gary Kruppa, Thomas Dejoie, Martijn M. Van Duijn, Alain J. Van Gool, Joannes F.M. Jacobs, Hans J.C.T. Wessels*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
11 Downloads (Pure)

Abstract

Objectives: 

Minimal residual disease (MRD) status in multiple myeloma (MM) is an important prognostic biomarker. Personalized blood-based targeted mass spectrometry detecting M-proteins (MS-MRD) was shown to provide a sensitive and minimally invasive alternative to MRD-assessment in bone marrow. However, MS-MRD still comprises of manual steps that hamper upscaling of MS-MRD testing. Here, we introduce a proof-of-concept for a novel workflow using data independent acquisition-parallel accumulation and serial fragmentation (dia-PASEF) and automated data processing. 

Methods: 

Using automated data processing of dia-PASEF measurements, we developed a workflow that identified unique targets from MM patient sera and personalized protein sequence databases. We generated patient-specific libraries linked to dia-PASEF methods and subsequently quantitated and reported M-protein concentrations in MM patient follow-up samples. Assay performance of parallel reaction monitoring (prm)-PASEF and dia-PASEF workflows were compared and we tested mixing patient intake sera for multiplexed target selection. 

Results: 

No significant differences were observed in lowest detectable concentration, linearity, and slope coefficient when comparing prm-PASEF and dia-PASEF measurements of serial dilutions of patient sera. To improve assay development times, we tested multiplexing patient intake sera for target selection which resulted in the selection of identical clonotypic peptides for both simplex and multiplex dia-PASEF. Furthermore, assay development times improved up to 25× when measuring multiplexed samples for peptide selection compared to simplex. 

Conclusions: 

Dia-PASEF technology combined with automated data processing and multiplexed target selection facilitated the development of a faster MS-MRD workflow which benefits upscaling and is an important step towards the clinical implementation of MS-MRD.

Original languageEnglish
Pages (from-to)2507-2518
Number of pages12
JournalClinical Chemistry and Laboratory Medicine
Volume62
Issue number12
DOIs
Publication statusPublished - 26 Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 the author(s), published by De Gruyter, Berlin/Boston.

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