Ending the undetermined significance of monoclonal gammopathies (MGUS): First results of the nomoremgus study
Year: 2025
Type: conference-abstract
Abstract: Background: MGUS is considered a benign condition despite being associated with shorter survival when compared to matched control populations. Malignant transformation, infections and heart or renal disease account for the increased risk of death. Thus, MGUS will be completely benign in most, of clinical significance in some, and will produce anxiety in all cases that will undergo indefinite Hospital visits and (some invasive) lab tests. Aim: Addmalignant and infection significance into the existing list of monoclonal gammopathies of clinical significance (eg, renal), towards new diagnostic criteria that eliminates the term “undetermined” and classifies monoclonal gammopathies into benign vs clinical significance. Methods: 31 Spanish Hospitalsare participating in theNoMoreMGUS project to generate a nationwide clinical, tumor and immune metadataset of 5,000 MGUS monitored yearly during 5y. Monoclonal gammopathies of malignant significance will be identified with the integration of clinical and laboratory data with the kinetics of circulating tumor (CTC) and immune cells measured with high-sensitive spectral flow cytometry. Immunosuppressive states will be defined to predict risk of severe infection. Here we report the first interim analysis with a focus on the risk of malignant transformation in the first 1,000 cases. Immune biomarkers of infection risk will be presented at the meeting. Results: The first 1,000 cases were enrolled between Feb 2022 and Nov 2023. Median age was 65 (range 30-93) and 49% were male. Isotype distribution was 60.3% IgG, 19.8% IgA, 15.1% IgM, 3.4% biclonal, 1.1% light-chain, and 0.3% IgD/IgE. With a median follow-up of 24.5 months there were 28 progressions: 9 smoldering and 14 active multiple myeloma (MM), 2 light-chain amyloidosis (AL) and 3 asymptomatic Waldenström's macroglobulinemia (WM). CTCs were detected in 466 (47%) cases and the median percentage was 0.0006% (range, 0.0001% - 44%). CTCs were detected in 45% vs 72% of cases with M-protein ≤1.5 vs >1.5 g/dL. Bone marrow aspirates were infrequently performed in the entire cohort (26%), particularly in cases with M-protein ≤1.5 g/dL (24%) but also in those with >1.5 g/dL (43%). Thus, CTC assessment provided minimally invasive information on the percentage and phenotype of tumor cells that was unknow in 74% of cases. Of note, 13 cases with non-IgM MGUS displayed CTCs with a B-cell phenotype and no PC clonality. The median percentage of CTCs was notoriously higher in non-IgM MGUS with B-cell vs PC phenotype (5.0% vs 0.0003%, p<.001) despite similar M-protein levels (median of 0.9 vs 0.7 g/dL, p=.50). CTCs were detected in 67/160 (42%) IgM MGUS and in 399/840 (47.5%) non-IgM MGUS. Despite similar detection rates, the percentage of CTCs was significantly higher in IgM vs non-IgM MGUS (0.31% vs 0.0004%; p<.001). By contrast, M-protein levels were similar between IgM vs non-IgM MGUS (median of 0.6 vs 0.7 g/dL, p=.15). In IgM MGUS, presence of ≥1.5% CTCs at baseline was associated with a 16-fold increased risk of transformation to asymptomatic WM (HR: 16.1, p=.02). M-protein levels did not stratify IgM MGUS at different risk of progression. In cases with non-IgM MGUS, presence of <0.0006% vs ≥0.0006% CTCs at baseline was associated with higher risk of transformation to MM and AL (HR: 7.6, p<.001). Rates of progression at 2y were 0.9% vs 7%. Besides ≥0.0006% CTCs, M-protein >1.5g/dL and an abnormal sFLC ratio were significantly associated with risk of transformation. CTCs (HR: 4.4, p=.008) and M-protein levels (HR: 4.0, p=.015) independently predicted risk of transformation in multivariate analysis. The sFLC ratio was borderline significant (HR: 2.9, p=.10). A minimally invasive model using CTCs, M-protein levels and abnormal sFLC ratio stratified non-IgM MGUS into groups with 0.5%, 1.5%, 6.1% and 16.4% progression rates at 2y based on the presence of 0, 1, 2 or 3 risk factors. The C-statistic of this model (0.87, 95% CI 0.76-0.98; HR: 3.9, p<.001) was superior to that of the Mayo model based on non-IgG isotype, M-protein >1.5g/dL, and abnormal sFLC ratio (0.63, 95% CI 0.42-0.84; HR: 2.00, p=.06). Conclusions: The first interim analysis of NoMoreMGUS defined CTCs as one of the most informative and independent prognostic factors in MGUS. Owing to its minimally-invasive assessment, CTC dynamics together with other clinical and laboratory features hold promise to redefine monoclonal gammopathies into those with none vs malignant significance.
Source: Blood
Authors: Marta Lasa, Esperanza Martin-Sanchez, Aintzane Zabaleta, Diego Alignani, Carmen Gonzalez, Noemi Puig, Elena Alejo, Jorge Labrador, Maria Casanova Espinosa, Laura Rosiñol Dachs, Sebastián Garzón, Enrique Ocio, Albert Pérez-Montaña, Irene Romera, Carmen Couto, Sunil Lakhwani, Felipe Prosper, Adrian Alegre, Elena Cabezudo, Itziar Carro, Cristina Motlló, Montserrat Cortes, Isabel Maria Garcia Cabrera, Marta Romera, Javier de la Rubia, Andrea Manubens, Alexia Suarez Cabrera, Fernando Escalante Barrigón, Carlos Aguilar-Franco, Raquel Del Campo, Maria Esther Clavero Sanchez, Joaquin Martinez-Lopez, Valentin Cabanas Perianes, María-Jesús Blanchard, Ana Lopez-Guia, Diana Sanchez Arguello, Albert Oriol, Marta Reinoso -Segura, María Lourdes Amador Barciela, Celina Benavente Cuesta, Jose Maria Arguiñano PEREZ, Beatriz Ordoñez, Francisco Taboada, Joan Batista Blade Creixenti, María-Victoria Mateos, Juan-Jose Lahuerta Palacios, Jesus San-Miguel, Bruno Paiva
Institutions: Navarre Institute of Health Research, Clinica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Salamanca, Instituto de Investigación Biomédica de Salamanca, Hospital Universitario de Burgos, Hospital Costa del Sol, Hospital Clínic de Barcelona, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Hospital Jerez Puerta del Sur, Marqués de Valdecilla University Hospital, Instituto de Investigación Marqués de Valdecilla, Hospital Universitario Son Espases, Hospital Universitario Puerta de Hierro Majadahonda, Hospital Universitario de Valme, Hospital Universitario de Canarias, Hospital Universitario de La Princesa, Hospital de Sant Joan Despí Moisès Broggi, Institut Català d'Oncologia, Universitat Autònoma de Barcelona, Corporació Sanitària Parc Taulí, Institute of Research and Innovation Parc Tauli, Althaia, Santa Lucía University General Hospital, Hospital Universitari i Politècnic La Fe, Hospital Universitario de Gran Canaria Doctor Negrín, Hospital Universitario de León, Hospital Son Llatzer, Hospital Universitario Virgen de las Nieves, Hospital Universitario 12 De Octubre, Instituto Murciano de Investigación Biosanitaria, Hospital Universitario Virgen de la Arrixaca, Hospital Universitario Ramón y Cajal, Hospital Universitario La Paz, Servicio Cántabro de Salud, Hospital Universitari Germans Trias i Pujol, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Complejo Hospitalario de Pontevedra, Hospital Clínico San Carlos, Hospital Universitario De Cabueñes, Hospital Vital Álvarez-Buylla
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4417008409
