The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myélome
Open accessAbstract
Acquired genomic aberrations have been shown to significantly impact survival in several hematologic malignancies. We analyzed the prognostic value of the most frequent chromosomal changes in a large series of patients with newly diagnosed symptomatic myeloma prospectively enrolled in homogeneous therapeutic trials. All the 1064 patients enrolled in the IFM99 trials conducted by the Intergroupe Francophone du Myélome benefited from an interphase fluorescence in situ hybridization analysis performed on purified bone marrow plasma cells. They were systematically screened for the following genomic aberrations: del(13), t(11;14), t(4;14), hyperdiploidy, MYC translocations, and del(17p). Chromosomal changes were observed in 90% of the patients. The del(13), t(11;14), t(4;14), hyperdiploidy, MYC translocations, and del(17p) were present in 48%, 21%, 14%, 39%, 13%, and 11% of the patients, respectively. After a median follow-up of 41 months, univariate statistical analyses revealed that del(13), t(4;14), nonhyperdiploidy, and del(17p) negatively impacted both the event-free survival and the overall survival, whereas t(11;14) and MYC translocations did not influence the prognosis. Multivariate analyses on 513 patients annotated for all the parameters showed that only t(4;14) and del(17p) retained prognostic value for both the event-free and overall survivals. When compared with the currently used International Staging System, this prognostic model compares favorably. In myeloma, the genomic aberrations t(4;14) and del(17p), together with β2-microglobulin level, are important independent predictors of survival. These findings have implications for the design of risk-adapted treatment strategies.
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
International Staging System for Multiple Myeloma
Greipp, P. R., Miguel, J. S., Durie, B. G. M., Crowley, J. J., Barlogie, B., Bladé, J., Boccadoro, M., Child, J. A., Avet-Loiseau, H., Kyle, R. A., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.04.242 · Cited by 2,974
Self-citation(1985) · Annals of Internal Medicine · doi:10.7326/0003-4819-103-3-486_3 · Cited by 2,056
Clinical and biologic implications of recurrent genomic aberrations in myeloma
Fonseca, R., Blood, E., Rue, M., Harrington, D., Oken, M. M., Kyle, R. A., Dewald, G. W., Van Ness, B., Van Wier, S. A., Henderson, K. J., et al. (2003) · Blood · doi:10.1182/blood-2002-10-3017 · Cited by 660
Zhan, F., Hardin, J., Kordsmeier, B., Bumm, K., Zheng, M., Tian, E., Sanderson, R., Yang, Y., Wilson, C., Zangari, M., et al. (2002) · Blood · doi:10.1182/blood.v99.5.1745 · Cited by 638
Chesi, 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
Advances in biology of multiple myeloma: clinical applications
Hideshima, T., Bergsagel, P. L., Kuehl, W. M., & Anderson, K. C. (2004) · Blood · doi:10.1182/blood-2004-01-0037 · Cited by 582
Chesi, M., Nardini, E., Lim, R. S. C., Smith, K. D., Kuehl, W. M., & Bergsagel, P. L. (1998) · Blood · doi:10.1182/blood.v92.9.3025 · Cited by 572
Molecular Pathogenesis and a Consequent Classification of Multiple Myeloma
Bergsagel, P. L., & Kuehl, W. M. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.05.021 · Cited by 556
Chesi, M., Bergsagel, P. L., Shonukan, O. O., Martelli, M. L., Brents, L. A., Chen, T., Schröck, E., Ried, T., & Kuehl, W. M. (1998) · Blood · doi:10.1182/blood.v91.12.4457 · Cited by 401
Dewald, G., Kyle, R., Hicks, G., & Greipp, P. (1985) · Blood · doi:10.1182/blood.v66.2.380.380 · Cited by 401
Cited by
Lenalidomide after Stem-Cell Transplantation for Multiple Myeloma
McCarthy, P. L., Owzar, K., Hofmeister, C. C., Hurd, D. D., Hassoun, H., Richardson, P. G., Giralt, S., Stadtmauer, E. A., Weisdorf, D. J., Vij, R., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1114083 · Cited by 1,147
Understanding multiple myeloma pathogenesis in the bone marrow to identify new therapeutic targets
Hideshima, T., Mitsiades, C., Tonon, G., Richardson, P. G., & Anderson, K. C. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2189 · Cited by 932
The genetic architecture of multiple myeloma
Morgan, G. J., Walker, B. A., & Davies, F. E. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3257 · Cited by 913
Richardson, P. G., Weller, E., Lonial, S., Jakubowiak, A. J., Jagannath, S., Raje, N. S., Avigan, D. E., Xie, W., Ghobrial, I. M., Schlossman, R. L., et al. (2010) · Blood · doi:10.1182/blood-2010-02-268862 · Cited by 861
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
- Avet-Loiseau, H., Attal, M., Moreau, P., Charbonnel, C., Garban, F., Hulin, C., Leyvraz, S., Michallet, M., Yakoub-Agha, I., Garderet, L., Marit, G., Michaux, L., Voillat, L., Renaud, M., Grosbois, B., Guillerm, G., Benboubker, L., Monconduit, M., Thieblemont, C., Casassus, P., Caillot, D., Stoppa, A.-M., Sotto, J.-J., Wetterwald, M., Dumontet, C., Fuzibet, J.-G., Azais, I., Dorvaux, V., Zandecki, M., Bataille, R., Minvielle, S., Harousseau, J.-L., Facon, T., & Mathiot, C.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2007-01-05
- Volume
- 109
- Issue
- 8
- Pages
- 3489-3495
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2087843841
- Cited by
- 911
- References
- 36
- FWCI
- 36.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myélome. https://app.cochat.ai/papers/10.1182/blood-2006-08-040410
- The paper
- Avet-Loiseau, H., Attal, M., Moreau, P., Charbonnel, C., Garban, F., Hulin, C., Leyvraz, S., Michallet, M., Yakoub-Agha, I., Garderet, L., Marit, G., Michaux, L., Voillat, L., Renaud, M., Grosbois, B., Guillerm, G., Benboubker, L., Monconduit, M., Thieblemont, C., . . . Mathiot, C. (2007). Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myélome. Blood. https://doi.org/10.1182/blood-2006-08-040410
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.
