| Literature DB >> 26516228 |
Marie-Lorraine Chretien1, Jill Corre2, Valerie Lauwers-Cances3, Florence Magrangeas4, Alice Cleynen2, Edwige Yon3, Cyrille Hulin5, Xavier Leleu6, Frederique Orsini-Piocelle7, Jean-Sebastien Blade5, Claudine Sohn8, Lionel Karlin9, Xavier Delbrel10, Benjamin Hebraud11, Murielle Roussel11, Gerald Marit12, Laurent Garderet13, Mohamad Mohty13, Philippe Rodon14, Laurent Voillat15, Bruno Royer16, Arnaud Jaccard17, Karim Belhadj18, Jean Fontan19, Denis Caillot1, Anne-Marie Stoppa20, Michel Attal11, Thierry Facon6, Philippe Moreau21, Stephane Minvielle4, Hervé Avet-Loiseau2.
Abstract
The prognosis of multiple myeloma is mainly dependent upon chromosomal changes. The 2 major abnormalities driving poor outcome are del(17p) and t(4;14). However, the outcome of these high-risk patients is not absolutely uniform, with some patients presenting long survival. We hypothesized that these better outcomes might be related to concomitant "good-risk" chromosomal changes exploring hyperdiploidy. We analyzed a large series of 965 myeloma patients, including 168 patients with t(4;14) and 126 patients with del(17p), using high-throughput single-nucleotide polymorphism arrays after plasma cell sorting. As expected, trisomic chromosomes were highly associated. Using the LASSO model, we found that only chromosome 3, when trisomic, was associated with a longer progression-free survival and that 3 trisomies modulated overall survival (OS) in myeloma patients: trisomies 3 and 5 significantly improved OS, whereas trisomy 21 worsened OS. In patients with t(4;14), trisomies 3 and/or 5 seemed to overcome the poor prognosis. For the first time, using a specific modeling approach, we show that not all trisomies display the same prognostic impact. This finding could be important for routine assessment of prognosis in myeloma, and some high-risk patients with a traditional evaluation could in fact be standard-risk patients.Entities:
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Year: 2015 PMID: 26516228 PMCID: PMC4683332 DOI: 10.1182/blood-2015-06-650242
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113