Mass Spectrometry–Based Method Targeting Ig Variable Regions for Assessment of Minimal Residual Disease in Multiple Myeloma

Carlo O. Martins, Sarah Huet, San S. Yi, Maria S. Ritorto, Ola Landgren, Ahmet Dogan, Jessica R. Chapman

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Multiple myeloma is a systemic malignancy of monoclonal plasma cells that accounts for 10% of hematologic cancers. With development of highly effective therapies for multiple myeloma, minimal residual disease (MRD) assessment has emerged as an important end point for management decisions. Currently, serologic assays lack the sensitivity for MRD assessment, and invasive bone marrow sampling with flow cytometry or molecular methods has emerged as the gold standard. We report a sensitive and robust targeted mass spectrometry proteomics method to detect MRD in serum, without the need of invasive, sequential bone marrow aspirates. The method detects Ig-derived clonotypic tryptic peptides predicted by sequencing the clonal plasma cell Ig genes. A heavy isotope-labeled Ig internal standard is added to patient serum at a known concentration, the Ig is enriched in a light chain type specific manner, and proteins are digested and analyzed by targeted mass spectrometry. Peptides from the constant regions of the λ or κ light chains, Ig heavy chains, and clonotypic peptides unique to the patient monoclonal Igs are targeted. This technique is highly sensitive and specific for the patient-specific monoclonal Igs, even in samples negative by multiparametric flow cytometry. Our method can accurately and precisely detect monoclonal protein in serum of patients treated for myeloma and has broad implications for management of hematologic patients.

Original languageEnglish (US)
Pages (from-to)901-911
Number of pages11
JournalJournal of Molecular Diagnostics
Volume22
Issue number7
DOIs
StatePublished - Jul 2020
Externally publishedYes

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Molecular Medicine

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