Prevalence of smoldering multiple myeloma based on nationwide screening
Open accessAbstract
Smoldering multiple myeloma (SMM) is an asymptomatic precursor to multiple myeloma. Here we define the epidemiological characteristics of SMM in the general population in Iceland. The iStopMM study (ClinicalTrials.gov ID: NCT03327597 ) is a nationwide screening study for multiple myeloma precursors where all residents in Iceland 40 years or older were invited to participate. SMM was defined as 10-60% bone marrow plasma cells and/or monoclonal (M) protein concentration ≥3 g dl-1, in the absence of myeloma-defining events. Of the 80,759 who gave informed consent to participate, 75,422 (93%) were screened. The prevalence of SMM in the total population was 0.53% (95% confidence interval (CI) = 0.49-0.57%) in individuals 40 years or older. In men and women, the prevalence of SMM was 0.67% (95% CI = 0.62-0.73%) and 0.39% (95% CI = 0.35-0.43%), respectively; it increased with age in both sexes. For the 193 individuals with SMM, median age was 70 years (range 44-92 years) and 60% were males. The mean M protein concentration of individuals with SMM was 0.62 g dl-1 (range 0.01-3.5 g dl-1) and 73% had 11-20% bone marrow plasma cell infiltration. The high prevalence of SMM has implications for future treatment policies in multiple myeloma as the evidence supporting treatment initiation at the SMM stage is emerging.
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Multiple myeloma does not develop rapidly; symptoms and organ damage may take decades to manifest.
“This tumor does not develop rapidly; instead, it may take decades for symptoms and organ damage to manifest.4-8”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [8]
The Discussion (page unavailable) says some people with smoldering multiple myeloma have an indolent condition that progresses very slowly or not at all, and discusses treatment before end-organ damage. It does not say that symptoms and organ damage may take decades to appear, or establish that timeline for multiple myeloma generally. (LLM, conf=0.86)
Experimental — accuracy not yet measuredRAS mutations, MYC translocations, APOBEC mutagenesis, and patterns of genomic complexity are the most commonly reported alterations in progressing multiple myeloma.
“Among these, RAS mutations, MYC translocations, APOBEC mutagenesis, and patterns of genomic complexity are the most commonly reported.8,9,11,69,76-83,84”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [8]
The Discussion (page not provided) says that whole-genome sequencing analyses of progressive and stable disease are ongoing; it does not report which genomic alterations are most common. Searches for RAS mutations, MYC translocations, APOBEC mutagenesis, and genomic complexity found no passage in our copy addressing that claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Cites
Lenalidomide plus Dexamethasone for High-Risk Smoldering Multiple Myeloma
Mateos, M.-V., Hernández, M.-T., Giraldo, P., de la Rubia, J., de Arriba, F., Corral, L. L., Rosiñol, L., Paiva, B., Palomera, L., Bargay, J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1300439 · Cited by 1,171 · see citing works
Long-Term Follow-up of Monoclonal Gammopathy of Undetermined Significance
Kyle, R. A., Larson, D. R., Therneau, T. M., Dispenzieri, A., Kumar, S., Cerhan, J. R., & Rajkumar, S. V. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709974 · Cited by 647 · see citing works
Flagged first, then by citations
Research works printed but not linked: 31
- [1]Kyle RA & Greipp PR Smoldering multiple myeloma. N. Engl. J. Med. 302, 1347– 1349 (1980). 7374679
- [2]Rajkumar SV International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 15, e538– e548 (2014). 25439696
- [3]Kyle RA Clinical course and prognosis of smoldering (asymptomatic) multiple myeloma. N. Engl. J. Med. 356, 2582– 2590 (2007). 17582068
- [4]Kristinsson SY, Holmberg E. & Blimark C. Treatment for high-risk smoldering myeloma. N. Engl. J. Med. 369, 1762– 1763 (2013). 24171527
- [5]Cowan AJ Global burden of multiple myeloma: a systematic analysis for the global burden of disease study 2016. JAMA Oncol. 4, 1221– 1227 (2018). 29800065 PMC6143021
- [6]Kyle RA Monoclonal gammopathy of undetermined significance (MGUS) and smoldering (asymptomatic) multiple myeloma: IMWG consensus perspectives risk factors for progression and guidelines for monitoring and management. Leukemia 24, 1121– 1127 (2010). 20410922 PMC7020664
- [7]Pérez-Persona E. New criteria to identify risk of progression in monoclonal gammopathy of uncertain significance and smoldering multiple myeloma based on multiparameter flow cytometry analysis of bone marrow plasma cells. Blood 110, 2586– 2592 (2007). 17576818
- [8]Dispenzieri A. Immunoglobulin free light chain ratio is an independent risk factor for progression of smoldering (asymptomatic) multiple myeloma. Blood 111, 785– 789 (2008). 17942755 PMC2200851
- [9]Mateos M-V International Myeloma Working Group risk stratification model for smoldering multiple myeloma (SMM). Blood Cancer J. 10, 102 (2020). 33067414 PMC7567803
- [10]Rajkumar SV, Landgren O. & Mateos M-V Smoldering multiple myeloma. Blood 125, 3069– 3075 (2015). 25838344 PMC4432003
- [11]Lakshman A. Risk stratification of smoldering multiple myeloma incorporating revised IMWG diagnostic criteria. Blood Cancer J. 8, 59 (2018). 29895887 PMC5997745
- [13]Mateos M-V Lenalidomide plus dexamethasone versus observation in patients with high-risk smouldering multiple myeloma (QuiRedex): long-term follow-up of a randomised, controlled, phase 3 trial. Lancet Oncol. 17, 1127– 1136 (2016). 27402145
- [14]Lonial S. Randomized trial of lenalidomide versus observation in smoldering multiple myeloma. J. Clin. Oncol. 38, 1126– 1137 (2020). 31652094 PMC7145586
- [15]Kumar SK Multiple Myeloma, Version 3.2021, NCCN Clinical Practice Guidelines in Oncology. J. Natl Compr. Canc. Netw. 18, 1685– 1717 (2020). 33285522
- [16]Lonial S, Rajkumar SV & Mateos MV Risk stratified management approaches for smouldering multiple myeloma: clinical research becomes clinical practice. Lancet Haematol. 9, e162– e165 (2022). 35114153
- [17]Sigurdardottir EE The role of diagnosis and clinical follow-up of monoclonal gammopathy of undetermined significance on survival in multiple myeloma. JAMA Oncol. 1, 168– 174 (2015). 26181017
- [18]Go RS, Gundrum JD & Neuner JM Determining the clinical significance of monoclonal gammopathy of undetermined significance: a SEER-Medicare population analysis. Clin. Lymphoma Myeloma Leuk. 15, 177– 186.e4 (2015). 25445471 PMC4344843
- [19]Rögnvaldsson S. Iceland screens, treats, or prevents multiple myeloma (iStopMM): a population-based screening study for monoclonal gammopathy of undetermined significance and randomized controlled trial of follow-up strategies. Blood Cancer J. 11, 94 (2021). 34001889 PMC8128921
- [20]Sørrig R. Smoldering multiple myeloma risk factors for progression: a Danish population-based cohort study. Eur. J. Haematol. 97, 303– 309 (2016). 26710662
- [22]Miguel JS Updated risk stratification model for smoldering multiple myeloma (SMM) incorporating the revised IMWG diagnostic criteria. J. Clin. Oncol. 37, 8000 (2019).
- [23]Hill E. Assessment of discordance among smoldering multiple myeloma risk models. JAMA Oncol. 7, 132– 134 (2021). 33211080 PMC7677870
- [24]Maura F. Moving from cancer burden to cancer genomics for smoldering myeloma: a review. JAMA Oncol. 6, 425– 432 (2019). PMC7430066 31830214
- [25]Maura F, Landgren O. & Morgan GJ Designing evolutionary based interception strategies to block the transition from precursor phases to multiple myeloma. Clin. Cancer Res. 27, 15– 23 (2021). 32759358 PMC7785564
- [26]Landgren O. Advances in MGUS diagnosis, risk stratification, and management: introducing myeloma-defining genomic events. Hematology Am. Soc. Hematol. Educ. Program 2021, 662– 672 (2021). 34889381 PMC8791104
- [27]Landgren O. Prevalence of monoclonal gammopathy of undetermined significance among men in Ghana. Mayo Clin. Proc. 82, 1468– 1473 (2007). 18053453
- [28]Iwanaga M, Tagawa M, Tsukasaki K, Kamihira S. & Tomonaga M. Prevalence of monoclonal gammopathy of undetermined significance: study of 52,802 persons in Nagasaki City, Japan. Mayo Clin. Proc. 82, 1474– 1479 (2007). 18053454
- [29]Dimopoulos MA, Kastritis E. & Terpos E. Non-secretory myeloma: one, two, or more entities? Oncology 27, 930– 932 (2013). 24282994
- [30]Mohyuddin GR, Ouchveridze E, Goodman A. & Prasad V. The landscape of trials for smoldering multiple myeloma: endpoints, trial design, and lessons learnt. Leuk. Lymphoma 62, 2793– 2795 (2021). 34114943
- [31]Musto P. 2021 European Myeloma Network review and consensus statement on smoldering multiple myeloma: how to distinguish (and manage) Dr. Jekyll and Mr. Hyde. Haematologica 106, 2799– 2812 (2021). 34261295 PMC8561280
- [32]Kapoor P. & Rajkumar SV Smoldering multiple myeloma: to treat or not to treat. Cancer J. 25, 65– 71 (2019). 30694862
- [33]Flores-Montero J. Next generation flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia 31, 2094– 2103 (2017). 28104919 PMC5629369
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Temporal genomic dynamics shape clinical trajectory in multiple myeloma
Maura, F., Kaddoura, M., Poos, A. M., Baughn, L. B., Ziccheddu, B., Bärtsch, M.-A., Cirrincione, A., Maclachlan, K., Chojnacka, M., Diamond, B., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02292-1 · Cited by 14 · see citing works
Self-citationEvolution of Multiple Myeloma from a Genomic Perspective
Maura, F., Samur, M., & Munshi, N. (2026) · Blood · doi:10.1182/blood.2024026313 · Cited by 8 · see citing works
- Authors
- Thorsteinsdóttir, S., Gíslason, G. K., Aspelund, T., Rögnvaldsson, S., Óskarsson, J. Þ., Sigurðardóttir, G. Á., Þórðardóttir, Á. R., Viðarsson, B., Önundarson, P. T., Agnarsson, B. A., Sigurðardóttir, M., Þorsteinsdóttir, I., Ólafsson, Í., Eyþórsson, E., Jónsson, Á., Berlanga, O., Hultcrantz, M., Durie, B. G. M., Löve, T. J., Harding, S., Landgren, O., & Kristinsson, S. Y.
- Affiliations
- University of Iceland (IS)
- National University Hospital of Iceland (IS)
- Memorial Sloan Kettering Cancer Center (US)
- Cedars-Sinai Medical Center (US)
- University of Miami (US)
- ORCID
- Venue
- Nature Medicine
- Published
- 2023-02
- Volume
- 29
- Issue
- 2
- Pages
- 467-472
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC11099842
- OpenAlex
- W4319310767
- Cited by
- 93
- References
- 2
- Citations by year
- 2026: 27 · 2025: 29 · 2024: 27 · 2023: 9
- FWCI
- 19.00
- Type
- journal article
- Language
- en
- Update notices
- correction (2023-03-20)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- European Commission (716677, HORIZON2020)
- Háskóli Íslands
- National Cancer Institute (P30CA008748)
- Topics
- Health Sciences › Medicine › Hematology › Multiple Myeloma Research and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Amyloidosis: Diagnosis, Treatment, Outcomes
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- smoldering multiple myeloma, prevalence, monoclonal protein, bone marrow plasma cells, Iceland, sex differences, age-related risk
- MeSH terms
- Smoldering Multiple Myeloma, Adult, Aged, Aged, 80 and over, Female, Humans, Middle Aged, Multiple Myeloma, Risk Factors, Prevalence, Disease Progression
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