Genomics Define Malignant Transformation in Myeloma Precursor Conditions
Authors:
- Francesco MauraFMFrancesco Maura
- P. Leif BergsagelPBP. Leif Bergsagel
- Shaji KumarSKShaji Kumar
- Kylee MaclachlanKMKylee Maclachlan
- Andriy DerkachADAndriy Derkach
- Juan-Jose GarcesJGJuan-Jose Garces
- Ross FirestoneRFRoss Firestone
- Esteban BraggioEBEsteban Braggio
- Michael DuranteMDMichael Durante
- Benjamin T. DiamondBDBenjamin T. Diamond
Top Cited Papers
- 20 January 2026
- journal article
- Published by American Society of Clinical Oncology (ASCO) in Journal of Clinical Oncology
- Vol. 44 (3) , 188-199
Abstract
Multiple myeloma (MM) is consistently preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). While these precursor conditions are asymptomatic, they are not entirely benign and carry a lifelong risk of progression to MM. Unlike other cancers defined by pathology, malignant transformation from MGUS or SMM to MM has so far relied on demonstration of clinical end-organ damage as morphology and cytogenetics cannot reliably distinguish them. In this study, using genomic data from 374 patients with MGUS or SMM (277 training, 97 validation), to our knowledge, we demonstrate for the first time the ability to identify malignant transformation in MGUS and SMM. We introduce the concept of genomic MM and genomic MGUS to differentiate the subsets of MGUS and SMM that are biologically malignant with genomic features indistinguishable from MM from the subset that is premalignant and unlikely to progress to malignancy. Importantly, we find that most SMM has biological features of malignant transformation indistinguishable from MM. As expected, this subset that we consider having genomic MM is associated with a high risk of progression to MM although some patients remained progression-free beyond 5 years. Conversely, 60% of MGUS and 10% of SMM have no evidence of malignant transformation (genomic MGUS), with no progression during follow-up. Integration of genomic features with the 2/20/20 International Myeloma Working Group model significantly improved the prediction of progression among genomic MM. These findings support the use of genomic criteria to refine the classification and the risk stratification in myeloma precursor conditions.Keywords
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