We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




A Mass Spectrometry Approach for Monitoring Progress of Multiple Myeloma

By LabMedica International staff writers
Posted on 05 Apr 2021
An easy to perform mass spectrometry (MS) approach enables monitoring the progress of multiple myeloma by tracing unique clonal immunoglobulin gene fingerprints in blood samples.

Due to improved treatment, more patients with multiple myeloma (MM) reach a state of minimal residual disease (MRD). More...
Different strategies for MM MRD monitoring that are currently available include flow cytometry, allele-specific oligonucleotide–quantitative PCR, next-generation sequencing, and mass spectrometry (MS). The last three methods rely on the presence and the stability of a unique immunoglobulin fingerprint derived from the clonal plasma cell population.

A novel approach for generating immunoglobulin fingerprints in MRD patients was developed by investigators at Radboud University Medical Center (Nijmegen, the Netherlands) and colleagues at Erasmus Medical Center (Rotterdam, the Netherlands). They created an analysis pipeline based on MiXCR (a universal tool for fast and accurate analysis of T- and B- cell receptor repertoire sequencing data) and HIGH-VQUEST (V-QUERy and STandardization - part of the international ImMunoGeneTics (IMGT) information system.

IMGT/HighV-QUEST is the high-throughput version of IMGT/V-QUEST for the analysis of thousands of immunoglobulin (IG) and T cell receptor (TR) rearranged nucleotide sequences per run. IMGT/HighV-QUEST was developed to cope with the problematic analysis of antigen receptor data from Next-Generation Sequencing (NGS). The investigators used these analysis techniques to identify clonal molecular fingerprints and their clonotypic peptides based on transcriptomic datasets.

The investigators reported in the March 12, 2021, online edition of the journal Clinical Chemistry that the analysis pipeline was successfully validated in MM cell lines. In a cohort of 609 patients with MM, they demonstrated that the most abundant clone harbored a unique clonal molecular fingerprint and that multiple unique clonotypic peptides compatible with MS measurements could be identified for all patients. Furthermore, the clonal immunoglobulin gene fingerprints of both the light and heavy chain remained stable during MM disease progression.

Senior author, Dr. Joannes F. M. Jacobs, a medical immunologist at Radboud University Medical Center, said, "The disease is found almost everywhere in the bone marrow, but in some areas you there are more cancerous cells than in other areas. So if you take a biopsy where there are fewer cancer cells, the test result does not accurately reflect the real situation. The new method makes it much easier to follow the progression of multiple myeloma. With a single drop of blood, it is possible to very accurately show whether the number of cancerous cells in the bone marrow is increasing in a patient. In time, this blood test could potentially replace the current bone marrow puncture."

Related Links:
Radboud University Medical Center
Erasmus Medical Center



New
Gold Member
Automatic Hematology Analyzer
CF9600
Gold Member
Quality Control Material
iPLEX Pro Exome QC Panel
New
HPV Test
Allplex HPV28 Detection
New
LAIR2 Antibody Pair Set
LAIR2 Antibody Pair [Biotin]
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Pathology

view channel
Image: Study flowchart. This study developed a multimodal artificial intelligence framework to predict PIK3CA mutations in breast cancer (Jiaxian Miao et al., Cancer Biol Med 23(3): 430–450 (2026). DOI: 10.20892/j.issn.2095-3941.2025.0771)

Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment

PIK3CA mutations are key biomarkers for selecting phosphoinositide 3-kinase (PI3K)–targeted therapies in breast cancer, yet access to molecular testing can be inconsistent and costly. Conventional polymerase... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.