Head-to-head longitudinal comparison of two mass spectrometry-based methods for monitoring monoclonal proteins in multiple myeloma: Analytical and clinical insights from the GEM-CESAR trial
Abstract
Abstract Background: Mass spectrometry (MS) is increasingly used to detect monoclonal proteins (MPs) in patients with monoclonal gammopathies. Two major intact light chain approaches—MALDI-TOF (Exent) and LC-Q/TOF—have shown superior sensitivity over conventional methods. However, direct comparisons between them are lacking, limiting their harmonized clinical application. Methods: We analyzed 55 serum samples from 18 patients with high-risk smoldering multiple myeloma (SMM) enrolled in the GEM-CESAR trial. Results from 25 patients will be presented at the congress. Samples were collected at diagnosis, post-induction, post-autologous stem cell transplantation (ASCT), post-consolidation, and after 2 years of maintenance (M2). All had been previously analyzed with Exent. For this study, the same samples were reanalyzed using an LC-Q/TOF workflow (LC/MS), involving affinity purification of serum immunoglobulins, liberation of intact light chains, and untargeted high-resolution detection. Measurable residual disease (MRD) in bone marrow (BM) samples was assessed using next-generation flow (NGF) following the recommendations of the IMWG. Results: At diagnosis, the isotype identified by both MS techniques was concordant in all but three patients: one showed IgA kappa by Exent but only kappa by LC/MS (with matching light chain masses); another showed two IgA Kappa peaks by Exent but only one by LC/MS; and a third showed two IgA lambda peaks by Exent versus one by LC/MS with evidence of glycosylation. The latter patient remained positive through M2, with both IgA lambda peaks consistently observed by Exent. Among the 55 paired serum samples, 40 (72.7%) showed concordant results: 22 were positive and 18 negative by both methods. Discordant results (n=15, 27.3%) were primarily due to LC/MS detecting residual disease not identified by Exent. LC/MS detected 36 positive samples versus 23 by Exent. Concordance varied by treatment phase: post-induction (12/14), post-ASCT (11/15), post-consolidation (8/15), and M2 (9/11); discordances were most frequent post-consolidation and predominantly Exent− / LC/MS+. The proportion of double-negative samples increased with treatment, reaching 73% at M2. Despite the limited sample size per timepoint and use of biochemical progression as a censoring event, both MS techniques stratified progression-free survival (PFS) across all phases, reaching statistical significance at M2 (Exent: p=0.0016, HR 0.08; LC/MS: p=0.007, HR 0.13). Overall, the results from both methodologies demonstrated statistically significant prognostic value for PFS: Exent, p=0.0112, HR 0.41 and LC/MS, p=0.032, HR 0.37. Combined analysis demonstrated significantly longer PFS in double-negative cases (mPFS not reached) compared to double-positive (mPFS 3.57 years) or Exent− / LC/MS+ (mPFS 4.25 years). Compared with MRD assessment in BM by NGF, Exent showed 74.6% concordance and LC/MS 69.1%. Discordances between Exent and NGF were bidirectional (6 Exent− / NGF+ and 8 Exent+ / NGF−), while those between LC/MS and NGF were predominantly LC/MS+ / NGF− (16; 29.1%). Analysis of PFS based on combined results from MS and NGF showed that patients negative in both serum (by either MS method) and BM had the best prognosis, with mPFS not reached. In contrast, patients positive in serum (by either MS method), BM, or both had significantly shorter PFS. Conclusions: This study provides the first longitudinal comparison of two MS-based techniques in MM. Both methods proved valuable for disease monitoring: LC/MS demonstrated greater sensitivity, while Exent showed slightly higher concordance with NGF. The discrepancies observed between the two MS methods may be partly attributable to the fact that the samples were analyzed at substantially different times and subjected to varying numbers of freeze-thaw cycles. Importantly, combining both MS techniques with each other or with NGF improved prognostic stratification, highlighting the complementary role of these approaches and supporting ongoing efforts to standardize MS-based monitoring in monoclonal gammopathies.
Article Details
Authors (28)
Noemi Puig
Matthew Nichols
1Western University, Department of Pathology and Laboratory Medicine, London, Canada
Cristina Agullo
2Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
Sergio Castro
2Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
Joaquín Martínez-López
Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre, Complutense University of Madrid, Centro Nacional de Investigaciones Oncológicas, Madrid Institute of Cancer, Madrid
Marta Sonia Gonzalez Perez
13University Hospital of Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Santiago de Compostel, Spain
Albert Oriol
Institut Català d’Oncologia and Institut Josep Carreras, Hospital Germans Trias i Pujol, Badalona, Spain
Rafael Rios Tamayo
14Hospital Universitario Virgen de las Nieves, ibs.Granada, Spain, Granada, Spain
Laura Rosiñol
Hospital Clínic de Barcelona, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona
Joan Bargay
Hospital Universitario Son LLatzer, Instituto de Investigación Sanitaria Illes Balears (IdISBa),, Palma de Mallorca, Spain
Ana Pilar Gonzalez
6Hospital Universitario Central de Asturias, Oviedo, Spain
Chai Phua
10Western University, Schulich School of Medicine & Dentistry, Division of Hematology, Department of Medicine, London, Canada
Adrian Alegre
11University Hospital La Princesa & University Hospital Quiron Salud, Autónoma University, Madrid, Spain
María Belen Iñigo
12Hospital Clínico San Carlos, Hematology, Madrid, Spain
Javier de la Rubia
10Hospital La Fe, Valencia, Spain
Anabel Teruel
14Hospital Clínico Universitario de Valencia, Valencia, Spain
Miguel Paricio
15Hospital Clínico Universitario Lozano Blesa, Instituto de Investigación Sanitaria de Aragón, Zaragoza, Spain
Felipe de Arriba
18Department of Hematology, Hospital Morales Meseguer, IMIB Pascual Parrilla, Universidad de Murcia, Murcia, Spain
Sunil Lakhwani
Hospital Universitario de Canarias. Universidad de La Laguna., San Cristobal de La Laguna, Tenerife, Spain
Javier Lopez Jimenez
1Ramón y Cajal University Hospital, Hematology, Madrid, Spain
Marta Reinoso -Segura
1University Hospital Virgen del Rocio, Instituto de Biomedicina de Sevilla (IBIS)., Sevilla, Spain
Joan Batista Blade Creixenti
4Hospital Clinic of Barcelona, Instituto de Investigaciones Biomédicas August Pi I Sunyer (IDIBAPS), Barcelona., Barcelona, Spain
Juan-Jose Lahuerta Palacios
6Hematology Department, Hospital 12 de Octubre, Madrid, España., Madrid, Spain
María Teresa Cedena
22Hospital Universitario 12 de Octubre, Instituto de Investigación (i+12), Madrid, Spain
Bruno Paiva
Jesus San-Miguel
Martha Louzada
8London Regional Cancer Center, London, Canada
María-Victoria Mateos