Clinical, genomic, and imaging predictors of myeloma progression from asymptomatic monoclonal gammopathies (SWOG S0120)
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Key Points: First prospective US cooperative trial group in preneoplastic gammopathies. Prospective demonstration that genomic features of preneoplastic cells predict disease risk.
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MGUS/SMM may have distinct gene expression signatures capable of predicting progression to MM.
“From the transcriptomic point of view, it has been shown that MGUS/SMM may have distinct gene expression signatures capable of predicting progression to MM.89,90”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [89]
The Discussion (page unavailable) says the GEP-70 gene-expression score independently predicted progression from asymptomatic multiple myeloma (SMM) to clinical myeloma. It also says most predictive utility was in SMM and that further study is needed to establish its utility in MGUS, so prediction for MGUS is not established by this paper. (LLM, conf=0.86)
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Evolution of Multiple Myeloma from a Genomic Perspective
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- Authors
- Dhodapkar, M. V., Sexton, R., Waheed, S., Usmani, S., Papanikolaou, X., Nair, B., Petty, N., Shaughnessy, J. D., Hoering, A., Crowley, J., Orlowski, R. Z., & Barlogie, B.
- Affiliations
- Yale Cancer Center (US)
- Cancer Research And Biostatistics (US)
- University of Arkansas for Medical Sciences (US)
- The University of Texas MD Anderson Cancer Center (US)
- ORCID
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2014-01-02
- Volume
- 123
- Issue
- 1
- Pages
- 78-85
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- PMC
- PMC3879908
- OpenAlex
- W1968121313
- Cited by
- 192
- References
- 39
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 13 · 2023: 18 · 2022: 7 · 2021: 21 · 2020: 16 · 2019: 13 · 2018: 18 · 2017: 17 · 2016: 15 · 2015: 19 · 2014: 28
- FWCI
- 14.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Blood (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services
- National Institutes of Health (2u10ca038926-25)
- National Cancer Institute (U10CA004919, R01CA135110, CA-11083, CA 68183, N01 CA035176, CA-76462, CA-46282, CA37981, CA 20319, N01 CA027057, N01 CA038926, CA58416, U10CA068183, U10CA058882, N01 CA004919, N01 CA032102, U10-CA038926, CA-12644, U10CA027057, U10CA020319, U10CA011083, CA-58882, P01CA055819, U10CA035119, U10CA032102, U10CA046282, U10CA012644, R01CA106802, U10CA058416, N01 CA046441, U10CA035176, CA-76447, U10CA037981, N01 CA035119, U10CA076447, P30CA016672, U10CA046441)
- Topics
- Health Sciences › Medicine › Hematology › Multiple Myeloma Research and Treatments
- Health Sciences › Medicine › Genetics › Chronic Lymphocytic Leukemia Research
- Health Sciences › Medicine › Pathology and Forensic Medicine › Lymphoma Diagnosis and Treatment
- Keywords
- multiple myeloma, monoclonal gammopathy of undetermined significance, asymptomatic multiple myeloma, disease progression, gene expression profiles, free light chains, M-spike, focal lesions, magnetic resonance imaging, molecular subtypes, risk prediction
- MeSH terms
- Aged, Female, Humans, Immunoglobulin Light Chains, Magnetic Resonance Imaging, Male, Middle Aged, Monoclonal Gammopathy of Undetermined Significance, Multiple Myeloma, Precancerous Conditions, Prospective Studies, Risk, Time Factors, Cohort Studies, Proportional Hazards Models, Disease Progression, Syndecan-1
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