Understanding the role of hyperdiploidy in myeloma prognosis: which trisomies really matter?

Marie‐Lorraine Chrétien(CHU Dijon Bourgogne), Jill Corre(Inserm), Valérie Lauwers‐Cancès(Centre Hospitalier Universitaire de Toulouse), Florence Magrangeas(Inserm), Alice Cleynen(Inserm), Edwige Yon(Centre Hospitalier Universitaire de Toulouse), Cyrille Hulin(Centre Hospitalier Régional et Universitaire de Nancy), Xavier Leleu(Centre Hospitalier Universitaire de Lille), Frederique Orsini-Piocelle(Centre Hospitalier Annecy Genevois), Jean‐Sébastien Blade(Centre Hospitalier Régional et Universitaire de Nancy), Claudine Sohn(Hôpital d'Instruction des Armées Sainte-Anne), Lionel Karlin(Centre Hospitalier Intercommunal Toulon-La Seyne-sur-Mer), X. Delbrel(Centre Hospitalier De Pau), Benjamin Hébraud(Institut universitaire du cancer de Toulouse Oncopole), Murielle Roussel(Institut universitaire du cancer de Toulouse Oncopole), Gérald Marit(Centre Hospitalier Universitaire de Bordeaux), Laurent Garderet, Mohamad Mohty, Philippe Rodon, Laurent Voillat, Bruno Royer(Centre Hospitalier Universitaire Amiens-Picardie), Arnaud Jaccard(Centre Hospitalier Universitaire de Limoges), Karim Belhadj, Jean Fontan(Centre Hospitalier Universitaire de Besançon), Denis Caillot(CHU Dijon Bourgogne), Anne-Marie Stoppa(Institut Paoli-Calmettes), Michel Attal(Institut universitaire du cancer de Toulouse Oncopole), Thierry Façon(Centre Hospitalier Universitaire de Lille), Philippe Moreau(Centre Hospitalier Universitaire de Nantes), Stéphane Minvielle(Inserm), Hervé Avet‐Loiseau(Inserm)
Blood
October 30, 2015
Cited by 115

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.


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