Cited by 101Multiple Myeloma Research and TreatmentsChronic Lymphocytic Leukemia ResearchLymphoma Diagnosis and Treatment

The spectrum of somatic mutations in monoclonal gammopathy of undetermined significance indicates a less complex genomic landscape than that in multiple myeloma

Open access
Mikulasova, Aneta, Wardell, Christopher P., Murison, Alexander, Boyle, Eileen M., Jackson, Graham H., Smetana, Jan, Kufova, Zuzana, Pour, Ludek +9 more·2017·Haematologica

Abstract

Monoclonal gammopathy of undetermined significance is a pre-malignant precursor of multiple myeloma with a 1% risk of progression per year. Although targeted analyses have shown the presence of specific genetic abnormalities such as IGH translocations, RB1 deletion, 1q gain, hyperdiploidy or RAS gene mutations, little is known about the molecular mechanism of malignant transformation. We performed whole exome sequencing together with comparative genomic hybridization plus single nucleotide polymorphism array analysis in 33 flow-cytometry-separated abnormal plasma cell samples from patients with monoclonal gammopathy of undetermined significance to describe somatic gene mutations and chromosome changes at the genome-wide level. Non-synonymous mutations and copy-number alterations were present in 97.0% and in 60.6% of cases, respectively. Importantly, the number of somatic mutations was significantly lower in monoclonal gammopathy of undetermined significance than in myeloma (P

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3324/haematol.2017.163766

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Neoplastic transformation occurs early in time.

    “suggesting that the neoplastic transformation occurs early in time.9,11,79,80,85”

    From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [80]

    The Abstract and Discussion (page unavailable) show that myeloma-associated genetic changes are already present in MGUS, a premalignant precursor, supporting an early stage of genomic change. They do not establish that neoplastic transformation itself occurs early in time; the Discussion distinguishes changes present in MGUS from those likely involved in progression. (LLM, conf=0.76)

    Experimental — accuracy not yet measured
  • Patterns of genomic complexity and neoplastic transformation can already be observed in some MGUS and low-risk SMM cases several years before progression.

    “Interestingly, these patterns of genomic complexity and neoplastic transformation can already be observed in some MGUS and low-risk SMM cases several years before progression, suggesting that the neoplastic transformation occurs early in time.9,11,79,80,85”

    From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [80]

    The Results (risk stratification; page unavailable) show that some MGUS cases had chromosomal abnormalities, and the Discussion describes early genetic heterogeneity in MGUS. The paper does not establish that these patterns occurred in low-risk SMM cases or several years before progression. Its Discussion says that following cases from MGUS through SMM to MM would provide further insight, and notes that two MGUS patients with RAS mutations had not progressed after 50 and 67 months. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • RAS 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 [80]

    The Discussion (page unavailable) identifies RAS mutations and MYC translocations as likely candidates in disease progression. The Results (page unavailable) report no APOBEC signature in the MGUS cohort and suggest it may be acquired later in MM; the paper also describes increasing genomic changes. It does not establish that these four are the most commonly reported alterations in progressing multiple myeloma. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 41

  1. [1]Kyle RA Rajkumar SV Monoclonal gammopathy of undetermined significance and smouldering multiple myeloma: emphasis on risk factors for progression. Br J Haematol. 2007; 139(5): 730– 743. 18021088
  2. [3]Kyle RA Therneau TM Rajkumar SV A long-term study of prognosis in monoclonal gammopathy of undetermined significance. N Engl J Med. 2002; 346(8): 564– 569. 11856795
  3. [4]Rajkumar SV Kyle RA Therneau TM Serum free light chain ratio is an independent risk factor for progression in monoclonal gammopathy of undetermined significance. Blood. 2005; 106(3): 812– 817. 15855274 PMC1895159
  4. [5]Perez-Persona E Mateo G Garcia-Sanz R Risk of progression in smouldering myeloma and monoclonal gammopathies of unknown significance: comparative analysis of the evolution of monoclonal component and multiparameter flow cytometry of bone marrow plasma cells. Br J Haematol. 2010; 148(1): 110– 114. 19821821
  5. [6]Perez-Persona E Vidriales MB Mateo G 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. 2007; 110(7): 2586– 2592. 17576818
  6. [7]Avet-Loiseau H Facon T Daviet A 14q32 translocations and monosomy 13 observed in monoclonal gammopathy of undetermined significance delineate a multistep process for the oncogenesis of multiple myeloma. Intergroupe Francophone du Myelome. Cancer Res. 1999; 59(18): 4546– 4550. 10493504
  7. [8]Avet-Loiseau H Li JY Morineau N Monosomy 13 is associated with the transition of monoclonal gammopathy of undetermined significance to multiple myeloma. Intergroupe Francophone du Myelome. Blood. 1999; 94(8): 2583– 2589. 10515861
  8. [9]Chng WJ Van Wier SA Ahmann GJ A validated FISH trisomy index demonstrates the hyperdiploid and nonhyperdiploid dichotomy in MGUS. Blood. 2005; 106(6): 2156– 2161. 15920009 PMC1895145
  9. [10]van de Donk NW Palumbo A Johnsen HE The clinical relevance and management of monoclonal gammopathy of undetermined significance and related disorders: recommendations from the European Myeloma Network. Haematologica. 2014; 99(6): 984– 996. 24658815 PMC4040895
  10. [11]Lopez-Corral L Gutierrez NC Vidriales MB The progression from MGUS to smoldering myeloma and eventually to multiple myeloma involves a clonal expansion of genetically abnormal plasma cells. Clin Cancer Res. 2011; 17(7): 1692– 1700. 21325290
  11. [12]Lopez-Corral L Sarasquete ME Bea S SNP-based mapping arrays reveal high genomic complexity in monoclonal gammopathies, from MGUS to myeloma status. Leukemia. 2012; 26(12): 2521– 2529. 22565645
  12. [13]Chesi M Robbiani DF Sebag M AID-dependent activation of a MYC transgene induces multiple myeloma in a conditional mouse model of post-germinal center malignancies. Cancer Cell. 2008; 13(2): 167– 180. 18242516 PMC2255064
  13. [14]Chng WJ Gonzalez-Paz N Price-Troska T Clinical and biological significance of RAS mutations in multiple myeloma. Leukemia. 2008; 22(12): 2280– 2284. 18528420 PMC3864109
  14. [15]Rasmussen T Kuehl M Lodahl M Johnsen HE Dahl IM Possible roles for activating RAS mutations in the MGUS to MM transition and in the intramedullary to extramedullary transition in some plasma cell tumors. Blood. 2005; 105(1): 317– 323. 15339850
  15. [16]Walker BA Wardell CP Melchor L Intraclonal heterogeneity is a critical early event in the development of myeloma and precedes the development of clinical symptoms. Leukemia. 2014; 28(2): 384– 390. 23817176 PMC3916874
  16. [17]Bataille R Jego G Robillard N The phenotype of normal, reactive and malignant plasma cells. Identification of “many and multiple myelomas” and of new targets for myeloma therapy. Haematologica. 2006; 91(9): 1234– 1240. 16956823
  17. [18]Lage JM Leamon JH Pejovic T Whole genome analysis of genetic alterations in small DNA samples using hyper-branched strand displacement amplification and array-CGH. Genome Res. 2003; 13(2): 294– 307. 12566408 PMC420367
  18. [19]Corneveaux JJ Kruer MC Hu-Lince D SNP-based chromosomal copy number ascertainment following multiple displacement whole-genome amplification. Biotechniques. 2007; 42(1): 77– 83. 17269488
  19. [20]Pugh TJ Delaney AD Farnoud N Impact of whole genome amplification on analysis of copy number variants. Nucleic Acids Res. 2008; 36(13): e80. 18559357 PMC2490749
  20. [21]Pinard R de Winter A Sarkis GJ Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing. BMC Genomics. 2006; 7: 216. 16928277 PMC1560136
  21. [22]Rykalina VN Shadrin AA Amstislavskiy VS Rogaev EI Lehrach H Borodina TA Exome sequencing from nanogram amounts of starting DNA: comparing three approaches. PLoS One. 2014; 9(7): e101154. 24992588 PMC4081514
  22. [23]Huang L Ma F Chapman A Lu S Xie XS Single-cell whole-genome amplification and sequencing: methodology and applications. Annu Rev Genomics Hum Genet. 2015; 16: 79– 102. 26077818
  23. [24]Mikulasova A Smetana J Wayhelova M Genome-wide profiling of copy-number alteration in monoclonal gammopathy of undetermined significance. Eur J Haematol. 2016; 97(6): 568– 575. 27157252
  24. [25]Kozarewa I Rosa-Rosa JM Wardell CP A modified method for whole exome resequencing from minimal amounts of starting DNA. PLoS One. 2012; 7(3): e32617. 22403682 PMC3293839
  25. [26]Walker BA Boyle EM Wardell CP Mutational spectrum, copy number changes, and outcome: results of a sequencing study of patients with newly diagnosed myeloma. J Clin Oncol. 2015; 33(33): 3911– 3920. 26282654 PMC6485456
  26. [27]Smetana J Frohlich J Zaoralova R Genome-wide screening of cytogenetic abnormalities in multiple myeloma patients using array-CGH technique: a Czech multicenter experience. Biomed Res Int. 2014; 2014: 209670. 24987674 PMC4060785
  27. [28]Walker BA Wardell CP Johnson DC Characterization of IGH locus breakpoints in multiple myeloma indicates a subset of translocations appear to occur in pregerminal center B cells. Blood. 2013; 121(17): 3413– 3419. 23435460
  28. [30]Alexandrov LB Nik-Zainal S Wedge DC Signatures of mutational processes in human cancer. Nature. 2013; 500(7463): 415– 421. 23945592 PMC3776390
  29. [31]Landgren O Kyle RA Pfeiffer RM Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study. Blood. 2009; 113(22): 5412– 5417. 19179464 PMC2689042
  30. [32]Weiss BM Abadie J Verma P Howard RS Kuehl WM A monoclonal gammopathy precedes multiple myeloma in most patients. Blood. 2009; 113(22): 5418– 5422. 19234139 PMC2689043
  31. [33]Fonseca R Bailey RJ Ahmann GJ Genomic abnormalities in monoclonal gammopathy of undetermined significance. Blood. 2002; 100(4): 1417– 1424. 12149226
  32. [34]Nilsson T Lenhoff S Rylander L High frequencies of chromosomal aberrations in multiple myeloma and monoclonal gammopathy of undetermined significance in direct chromosome preparation. Br J Haematol. 2004; 126(4): 487– 494. 15287940
  33. [36]Walker BA Leone PE Chiecchio L A compendium of myeloma-associated chromosomal copy number abnormalities and their prognostic value. Blood. 2010; 116(15): e56– 65. 20616218
  34. [37]Ackermann J Meidlinger P Zojer N Absence of p53 deletions in bone marrow plasma cells of patients with monoclonal gammopathy of undetermined significance. Br J Haematol. 1998; 103(4): 1161– 1163. 9886335
  35. [38]Chng WJ Huang GF Chung TH Clinical and biological implications of MYC activation: a common difference between MGUS and newly diagnosed multiple myeloma. Leukemia. 2011; 25(6): 1026– 1035. 21468039 PMC3432644
  36. [39]Shou Y Martelli ML Gabrea A Diverse karyotypic abnormalities of the c-myc locus associated with c-myc dysregulation and tumor progression in multiple myeloma. Proc Natl Acad Sci USA. 2000; 97(1): 228– 233. 10618400 PMC26645
  37. [40]Avet-Loiseau H Gerson F Magrangeas F Rearrangements of the c-myc oncogene are present in 15% of primary human multiple myeloma tumors. Blood. 2001; 98(10): 3082– 3086. 11698294
  38. [41]Xiao R Cerny J Devitt K MYC protein expression is detected in plasma cell myeloma but not in monoclonal gammopathy of undetermined significance (MGUS). Am J Surg Pathol. 2014; 38(6): 776– 783. 24705315
  39. [43]Chiecchio L Dagrada GP Protheroe RK Loss of 1p and rearrangement of MYC are associated with progression of smouldering myeloma to myeloma: sequential analysis of a single case. Haematologica. 2009; 94(7): 1024– 1028. 19454499 PMC2704316
  40. [44]Ross FM Chiecchio L Dagrada G The t(14;20) is a poor prognostic factor in myeloma but is associated with long-term stable disease in monoclonal gammopathies of undetermined significance. Haematologica. 2010; 95(7): 1221– 1225. 20410185 PMC2895050
  41. [45]Chiecchio L Dagrada GP Ibrahim AH Timing of acquisition of deletion 13 in plasma cell dyscrasias is dependent on genetic context. Haematologica. 2009; 94(12): 1708– 1713. 19996118 PMC2791926

Cited by

Sorted by citations

Authors
Mikulasova, A., Wardell, C. P., Murison, A., Boyle, E. M., Jackson, G. H., Smetana, J., Kufova, Z., Pour, L., Sandecka, V., Almasi, M., Vsianska, P., Gregora, E., Kuglik, P., Hajek, R., Davies, F. E., Morgan, G. J., & Walker, B. A.
Affiliations
  • University of Arkansas for Medical Sciences (US)
  • Institute of Cancer Research (GB)
  • Newcastle University (GB)
  • Masaryk University (CZ)
Corresponding author
Walker, Brian A.
Venue
Haematologica
Published
2017-05-26
Volume
102
Issue
9
Pages
1617-1625
ISSN
  • 0390-6078 (ISSN-L)
  • 1592-8721
OpenAlex
W2619843656
Cited by
101
References
4
Citations by year
2026: 4 · 2025: 12 · 2024: 12 · 2023: 15 · 2022: 11 · 2021: 12 · 2020: 14 · 2019: 10 · 2018: 9 · 2017: 2
FWCI
7.38
Type
journal article
Language
en
Open access
Locations
  • Haematologica (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Newcastle University ePrints (Newcastle Univesity) (cc-by-nc)
Funders
  • Cancer Research UK
  • National Cancer Institute (P01CA055819)
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
monoclonal gammopathy of undetermined significance, multiple myeloma, somatic mutations, copy number alterations, malignant transformation, plasma cells, genomic landscape, IGH translocation, RB1 deletion, 1q gain, hyperdiploidy, RAS mutations, progression risk
MeSH terms
Chromosomes, Human, Female, Flow Cytometry, Humans, Male, Monoclonal Gammopathy of Undetermined Significance, Multiple Myeloma, Neoplasm Proteins, Translocation, Genetic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review