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Minimally invasive characterization of peripheral blood measurable residual disease in multiple myeloma using high-sensitivity detection of ctDNA by next-generation sequencing

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dc.contributor.author Buenache, Natalia
dc.contributor.author Lasa, Marta
dc.contributor.author Arroyo-Tristán, Andrés
dc.contributor.author González, Carmen
dc.contributor.author Haertle, Larissa
dc.contributor.author Ruiz-Heredia, Yanira
dc.contributor.author Ayala, Rosa
dc.contributor.author Alonso, Rafael
dc.contributor.author Martin-Muñoz, Alejandro
dc.contributor.author Rosa-Rosa, Juan-M
dc.contributor.author González, Veronica
dc.contributor.author Calasanz, María-José
dc.contributor.author Rodríguez-Otero, Paula
dc.contributor.author Rosinol, Laura
dc.contributor.author de-Arriba-de-la-Fuente, Felipe
dc.contributor.author Ocio, Enrique-M
dc.contributor.author Oriol, Albert
dc.contributor.author González, Yolanda
dc.contributor.author Sureda, Anna
dc.contributor.author Lakhwani, Sunil
dc.contributor.author Clavero, María-E
dc.contributor.author Ibáñez, Ángela
dc.contributor.author Gómez, Clara
dc.contributor.author Orfao, Alberto
dc.contributor.author Mateos, María-Victoria
dc.contributor.author Lahuerta, Juan-J
dc.contributor.author Cedena, María-T
dc.contributor.author Blade, Joan
dc.contributor.author San-Miguel, Jesús
dc.contributor.author Puig, Noemi
dc.contributor.author Paiva, Bruno
dc.contributor.author Martínez-López, Joaquín
dc.date.accessioned 2026-08-03T10:31:06Z
dc.date.available 2026-08-03T10:31:06Z
dc.date.issued 2026-06
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/27251
dc.description.abstract Measurable residual disease assessment in bone marrow (BM-MRD) is a crucial prognostic factor in multiple myeloma (MM), but its clinical use has some caveats, such as invasiveness, poor spatial representativity, and serial sampling. Novel minimally invasive approaches for monitoring peripheral residual disease (PRD) could facilitate its clinical use. We aimed to investigate a sensitive method for detecting PRD in patients with MM. This study included 84 patients enrolled in PETHEMA/GEM clinical trials, and a total of 292 longitudinal samples were analyzed. BM-MRD in these patients was assessed using EuroFlow-based next-generation flow cytometry (NGF) and PRD was simultaneously examined in cell-free DNA (cfDNA) using AltumTrackSeq®, a highly sensitive next-generation sequencing (NGS) method based on patient-specific multiplexed amplicon mini-panels that target somatic mutations identified at diagnosis. Our findings revealed that automated isolation methods enabled standardization and yielded cfDNA levels comparable to manual protocols. A high median cfDNA concentration of 393.2 ng was obtained, with a range from 17.3 to 6300 ng. Furthermore, we demonstrated that compared with traditional BM-MRD by NGF, our ctDNA-NGS approach showed a higher positive predictive value (PPV, 88.9% vs. 34.5%) and specificity (Sp, 98.4% vs. 70.3%) for predicting relapse during the follow-up period. Detectable ctDNA was associated with a high risk of progression and/or death (HR, 11.5; 95% CI, 2.66-49.4), and this was confirmed in the multivariate analysis. In conclusion, this assay offers a method for detecting imminent relapse risk in the peripheral blood of MM patients.
dc.language.iso eng
dc.publisher WILEY
dc.rights Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es *
dc.title Minimally invasive characterization of peripheral blood measurable residual disease in multiple myeloma using high-sensitivity detection of ctDNA by next-generation sequencing
dc.type info:eu-repo/semantics/article 
dc.identifier.pmid 42325850
dc.relation.publisherversion https://onlinelibrary.wiley.com/doi/10.1002/hem3.70405
dc.type.version info:eu-repo/semantics/publishedVersion 
dc.identifier.doi 10.1002/hem3.70405
dc.journal.title HEMASPHERE
dc.identifier.essn 2572-9241


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Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional

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