The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
International Myeloma Working Group molecular classification of multiple myeloma: spotlight review
Open accessAbstract
Myeloma is a malignant proliferation of monoclonal plasma cells. Although morphologically similar, several subtypes of the disease have been identified at the genetic and molecular level. These genetic subtypes are associated with unique clinicopathological features and dissimilar outcome. At the top hierarchical level, myeloma can be divided into hyperdiploid and non-hyperdiploid subtypes. The latter is mainly composed of cases harboring IgH translocations, generally associated with more aggressive clinical features and shorter survival. The three main IgH translocations in myeloma are the t(11;14)(q13;q32), t(4;14)(p16;q32) and t(14;16)(q32;q23). Trisomies and a more indolent form of the disease characterize hyperdiploid myeloma. A number of genetic progression factors have been identified including deletions of chromosomes 13 and 17 and abnormalities of chromosome 1 (1p deletion and 1q amplification). Other key drivers of cell survival and proliferation have also been identified such as nuclear factor- B-activating mutations and other deregulation factors for the cyclin-dependent pathways regulators. Further understanding of the biological subtypes of the disease has come from the application of novel techniques such as gene expression profiling and array-based comparative genomic hybridization. The combination of data arising from these studies and that previously elucidated through other mechanisms allows for most myeloma cases to be classified under one of several genetic subtypes. This paper proposes a framework for the classification of myeloma subtypes and provides recommendations for genetic testing. This group proposes that genetic testing needs to be incorporated into daily clinical practice and also as an essential component of all ongoing and future clinical trials.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bortezomib plus Melphalan and Prednisone for Initial Treatment of Multiple Myeloma
San Miguel, J. F., Schlag, R., Khuageva, N. K., Dimopoulos, M. A., Shpilberg, O., Kropff, M., Spicka, I., Petrucci, M. T., Palumbo, A., Samoilova, O. S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801479 · Cited by 1,899
Promiscuous Mutations Activate the Noncanonical NF-κB Pathway in Multiple Myeloma
Keats, J. J., Fonseca, R., Chesi, M., Schop, R., Baker, A., Chng, W.-J., Van Wier, S., Tiedemann, R., Shi, C.-X., Sebag, M., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.07.003 · Cited by 983
Self-citationChesi, M., Nardini, E., Brents, L. A., Schröck, E., Ried, T., Kuehl, W. M., & Bergsagel, P. L. (1997) · Nature Genetics · doi:10.1038/ng0797-260 · Cited by 637
Self-citationLiu, P., Leong, T., Quam, L., Billadeau, D., Kay, N., Greipp, P., Kyle, R., Oken, M., & Van Ness, B. (1996) · Blood · doi:10.1182/blood.v88.7.2699.bloodjournal8872699 · Cited by 215
Cited by
Palumbo, A., Avet-Loiseau, H., Oliva, S., Lokhorst, H. M., Goldschmidt, H., Rosinol, L., Richardson, P., Caltagirone, S., Lahuerta, J. J., Facon, T., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.61.2267 · Cited by 2,210
Self-citationWidespread Genetic Heterogeneity in Multiple Myeloma: Implications for Targeted Therapy
Lohr, J. G., Stojanov, P., Carter, S. L., Cruz-Gordillo, P., Lawrence, M. S., Auclair, D., Sougnez, C., Knoechel, B., Gould, J., Saksena, G., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2013.12.015 · Cited by 988
Self-citationHeterogeneity of genomic evolution and mutational profiles in multiple myeloma
Bolli, N., Avet-Loiseau, H., Wedge, D. C., Van Loo, P., Alexandrov, L. B., Martincorena, I., Dawson, K. J., Iorio, F., Nik-Zainal, S., Bignell, G. R., et al. (2014) · Nature Communications · doi:10.1038/ncomms3997 · Cited by 875
Self-citationSonneveld, P., Schmidt-Wolf, I. G. H., van der Holt, B., el Jarari, L., Bertsch, U., Salwender, H., Zweegman, S., Vellenga, E., Broyl, A., Blau, I. W., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.39.6820 · Cited by 824
Kumar, S. K., Lee, J. H., Lahuerta, J. J., Morgan, G., Richardson, P. G., Crowley, J., Haessler, J., Feather, J., Hoering, A., Moreau, P., et al. (2012) · Leukemia · doi:10.1038/leu.2011.196 · Cited by 721
Self-citation
Metadata
- Authors
- Fonseca, R., Bergsagel, P. L., Drach, J., Shaughnessy, J., Gutierrez, N., Stewart, A. K., Morgan, G., Van Ness, B., Chesi, M., Minvielle, S., Neri, A., Barlogie, B., Kuehl, W. M., Liebisch, P., Davies, F., Chen-Kiang, S., Durie, B. G. M., Carrasco, R., Sezer, O., Reiman, T., Pilarski, L., & Avet-Loiseau, H.
- Venue
- Leukemia
- Published
- 2009-10-01
- Volume
- 23
- Issue
- 12
- Pages
- 2210-2221
- ISSN
- 0887-6924 (ISSN-L)
- 1476-5551
- OpenAlex
- W2015880063
- Cited by
- 886
- References
- 4
- FWCI
- 40.22
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: International Myeloma Working Group molecular classification of multiple myeloma: spotlight review. https://app.cochat.ai/papers/10.1038/leu.2009.174
- The paper
- Fonseca, R., Bergsagel, P. L., Drach, J., Shaughnessy, J., Gutierrez, N., Stewart, A. K., Morgan, G., Van Ness, B., Chesi, M., Minvielle, S., Neri, A., Barlogie, B., Kuehl, W. M., Liebisch, P., Davies, F., Chen-Kiang, S., Durie, B. G. M., Carrasco, R., Sezer, O., . . . Avet-Loiseau, H. (2009). International Myeloma Working Group molecular classification of multiple myeloma: spotlight review. Leukemia. https://doi.org/10.1038/leu.2009.174
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.