Evidence map›Paper›PMID 35344689›Full record

ArticleThe Lancet. Haematology2022

Prevalence of monoclonal gammopathies and clinical outcomes in a high-risk US population screened by mass spectrometry: a multicentre cohort study.

Habib El-Khoury, David J Lee, Jean-Baptiste Alberge, Robert Redd, Christian J Cea-Curry, Jacqueline Perry, Hadley Barr, Ciara Murphy, Dhananjay Sakrikar, David Barnidge and 22 more

Registry-linked trialOpen access · greenAbstract readMulticenter Study
In one paragraph

Article in The Lancet. Haematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03689595 (Predicting Progression of Developing Myeloma in a High-Risk Screened Population), which is not on this map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
10.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03689595 enrolling by invitationnot on this map

Predicting Progression of Developing Myeloma in a High-Risk Screened Population (PROMISE)

TypeobservationalSponsorDana-Farber Cancer InstituteRan2018 to 2033Enrolled30,000ConditionsMultiple MyelomaArmsSamples of blood (2-4 tablespoons) from 4 tubes will be collected -Analysis will be performed on the blood to test for multiple myeloma precursor conditions.
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Monoclonal Gammopathy of Thrombotic Significance.American journal of hematology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. A Comprehensive Review of Monoclonal Gammopathy of Undetermined Significance.Journal of the advanced practitioner in oncology · 2026
    Article
  18. Article
  19. Multiple myeloma risk linked to DNA damage response genes.Journal of hematology & oncology · 2026
    Article
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 6 institutions in 1 country.

Habib El-KhouryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
David J LeeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jean-Baptiste AlbergeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Robert ReddBiostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Christian J Cea-CurryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Jacqueline PerryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Hadley BarrDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Ciara MurphyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Dhananjay SakrikarThe Binding Site, Rochester, MN, USA.
David BarnidgeThe Binding Site, Rochester, MN, USA.
Mark BustorosDepartment of Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
Houry LeblebjianDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Pharmacy, Dana-Farber Cancer Institute, Boston, MA, USA.
Anna CowanAlix School of Medicine, The Mayo Clinic, Rochester, MN, USA.
Maya I DavisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Julia AmstutzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Cody J BoehnerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Elizabeth D LightbodyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Romanos Sklavenitis-PistofidisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Mark C PerkinsThe Binding Site Group, Birmingham, UK.
Stephen HardingThe Binding Site Group, Birmingham, UK.
Clifton C MoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Prashant KapoorThe Mayo Clinic, Rochester, MN, USA.
Joseph MikhaelTranslational Genomics Research Institute, City of Hope Cancer Center, Phoenix, AZ, USA; International Myeloma Foundation, North Hollywood, CA, USA.
Ivan M BorrelloDepartment of Medical Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Rafael FonsecaDepartment of Medical Oncology, The Mayo Clinic, Phoenix, AZ, USA.
Scott T WeissHarvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Elizabeth KarlsonHarvard Medical School, Boston, MA, USA; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Lorenzo TrippaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Timothy R RebbeckThe Center for Prevention of Progression of Blood Cancer, Dana-Farber Cancer Institute, Boston, MA, USA.
Gad GetzHarvard Medical School, Boston, MA, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Catherine R MarinacDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Prevention of Progression of Blood Cancer, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Irene M GhobrialDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Prevention of Progression of Blood Cancer, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: irene_ghobrial@dfci.harvard.edu.
Dana-Farber Cancer Institute · USJohns Hopkins Medicine · USMayo Clinic Hospital · USMayo Clinic in Arizona · USWeill Cornell Medicine · USWinnMed · US

Funding

Molecular Prediction of Myeloma Initiation Molecular Prediction of Myeloma InitiationR35CA263817 · NCI · DANA-FARBER CANCER INST · PI Irene M. Ghobrial · 2022 to 2026
$5.1M
(PQ1) Genomic characterization of mesenchymal stromal cells in Monoclonal Gammopathy of Undermined Significance (MGUS)R01CA205954 · NCI · DANA-FARBER CANCER INST · PI GHOBRIAL, IRENE M. · 2016 to 2020
$2.6M
Pathways to Mentorship and Research: Training the Next Generation Physician-ScientistsR25AI147393 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI VYAS, JATIN M · 2019 to 2024
$1.8M
Targeting cell trafficking as a new therapeutic modality for Multiple MyelomaR01CA133799 · NCI · DANA-FARBER CANCER INST · PI GHOBRIAL, IRENE M. · 2008 to 2011
$1.4M
Repurposing Metformin for the Prevention of Disease Progression in Precursor Multiple MyelomaK22CA251648 · NCI · DANA-FARBER CANCER INST · PI MARINAC, CATHERINE · 2020 to 2022
$577k
NCI NIH HHS K22 CA251648NCI NIH HHS R01 CA133799NCI NIH HHS R01 CA205954NCI NIH HHS R35 CA263817NIAID NIH HHS R25 AI147393
6 · The paper itself

Abstract

backgroundPrevalence estimates for monoclonal gammopathy of undetermined significance (MGUS) are based on predominantly White study populations screened by serum protein electrophoresis supplemented with immunofixation electrophoresis. A prevalence of 3% is reported for MGUS in the general population of European ancestry aged 50 years or older. MGUS prevalence is two times higher in individuals of African descent or with a family history of conditions related to multiple myeloma. We aimed to evaluate the prevalence and clinical implications of monoclonal gammopathies in a high-risk US population screened by quantitative mass spectrometry.

methodsWe used quantitative matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry and EXENT-iQ software to screen for and quantify monoclonal gammopathies in serum from 7622 individuals who consented to the PROMISE screening study between Feb 26, 2019, and Nov 4, 2021, and the Mass General Brigham Biobank (MGBB) between July 28, 2010, and July 1, 2021. M-protein concentrations at the monoclonal gammopathy of indeterminate potential (MGIP) level were confirmed by liquid chromatography mass spectrometry testing. 6305 (83%; 2211 from PROMISE, 4094 from MGBB) of 7622 participants in the cohorts were at high risk for developing a monoclonal gammopathy on the basis of Black race or a family history of haematological malignancies and fell within the eligible high-risk age range (30 years or older for PROMISE cohort and 18 years or older for MGBB cohort); those over 18 years were also eligible if they had two or more family members with a blood cancer (PROMISE cohort). Participants with a plasma cell malignancy diagnosed before screening were excluded. Longitudinal clinical data were available for MGBB participants with a median follow-up time from serum sample screening of 4·5 years (IQR 2·4-6·7). The PROMISE study is registered with ClinicalTrials.gov, NCT03689595.

findingsThe median age at time of screening was 56·0 years (IQR 46·8-64·1). 5013 (66%) of 7622 participants were female, 2570 (34%) male, and 39 (<1%) unknown. 2439 (32%) self-identified as Black, 4986 (65%) as White, 119 (2%) as other, and 78 (1%) unknown. Using serum protein electrophoresis with immunofixation electrophoresis, the MGUS prevalence was 6% (101 of 1714) in high-risk individuals aged 50 years or older. Using mass spectrometry, we observed a total prevalence of monoclonal gammopathies of 43% (1788 of 4207) in this group. We termed monoclonal gammopathies below the clinical immunofixation electrophoresis detection level (<0·2 g/L) MGIPs, to differentiate them from those with higher concentrations, termed mass-spectrometry MGUS, which had a 13% (592 of 4207) prevalence by mass spectrometry in high-risk individuals aged 50 years or older. MGIP was predominantly of immunoglobulin M isotype, and its prevalence increased with age (19% [488 of 2564] for individuals aged <50 years, 29% [1464 of 5058] for those aged ≥50 years, and 37% [347 of 946] for those aged ≥70 years). Mass-spectrometry MGUS prevalence increased with age (5% [127 of 2564] for individuals aged <50 years, 13% [678 of 5058] for those aged ≥50 years, and 18% [173 of 946] for those aged ≥70 years) and was higher in men (314 [12%] of 2570) compared with women (485 [10%] 5013; p=0·0002), whereas MGIP prevalence did not differ significantly by gender. In those aged 50 years or older, the prevalence of mass spectrometry was significantly higher in Black participants (224 [17%] of 1356) compared with the controls (p=0·0012) but not in those with family history (368 [13%] of 2851) compared with the controls (p=0·1008). Screen-detected monoclonal gammopathies correlated with increased all-cause mortality in MGBB participants (hazard ratio 1·55, 95% CI 1·16-2·08; p=0·0035). All monoclonal gammopathies were associated with an increased likelihood of comorbidities, including myocardial infarction (odds ratio 1·60, 95% CI 1·26-2·02; p=0·00016 for MGIP-high and 1·39, 1·07-1·80; p=0·015 for mass-spectrometry MGUS).

interpretationWe detected a high prevalence of monoclonal gammopathies, including age-associated MGIP, and made more precise estimates of mass-spectrometry MGUS compared with conventional gel-based methods. The use of mass spectrometry also highlighted the potential hidden clinical significance of MGIP. Our study suggests the association of monoclonal gammopathies with a variety of clinical phenotypes and decreased overall survival.

fundingStand Up To Cancer Dream Team, the Multiple Myeloma Research Foundation, and National Institutes of Health.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaParaproteinemiasCohort StudiesFemaleHumansMaleMass SpectrometryPrevalence

Identifiers

PMID35344689
PMCPMC9067621
OpenAlexW4221052820

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.