Inhibition of aurora kinases for tailored risk-adapted treatment of multiple myeloma

Dirk Hose, Thierry Rème, Tobias Meissner, Jérôme Moreaux, Anja Seckinger, Joe Lewis, Vladimir Benes, Axel Benner, Michael Hundemer, Thomas Hielscher, John D. Shaughnessy, Bart Barlogie, Kai Neben, Alwin Krämer, Jens Hillengass, Uta Bertsch, Anna Jauch, John De Vos, Jean François Rossi, Thomas MöhlerJonathon Blake, Jürgen Zimmermann, Bernard Klein, Hartmut Goldschmidt

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

Genetic instability and cellular proliferation have been associated with aurora kinase expression in several cancer entities, including multiple myeloma. Therefore, the expression of aurora-A, -B, and -C was determined by Affymetrix DNA microarrays in 784 samples including 2 independent sets of 233 and 345 CD138-purified myeloma cells from previously untreated patients. Chromosomal aberrations were assessed by comprehensive interphase fluorescence in situ hybridization and proliferation of primary myeloma cells by propidium iodine staining. We found aurora-A and -B to be expressed at varying frequencies in primary myeloma cells of different patient cohorts, but aurora-C in testis cell samples only. Myeloma cell samples with detectable versus absent aurora-A expression show a significantly higher proliferation rate, but neither a higher absolute number of chromosomal aberrations (aneuploidy), nor of subclonal aberrations (chromosomal instability). The clinical aurora kinase inhibitor VX680 induced apoptosis in 20 of 20 myeloma cell lines and 5 of 5 primary myeloma cell samples. Presence of aurora-A expression delineates significantly inferior event-free and overall survival in 2 independent cohorts of patients undergoing high-dose chemotherapy, independent from conventional prognostic factors. Using gene expression profiling, aurora kinase inhibitors as a promising therapeutic option in myeloma can be tailoredly given to patients expressing aurora-A, who in turn have an adverse prognosis.

Original languageEnglish
Pages (from-to)4331-4340
Number of pages10
JournalUnknown Journal
Volume113
Issue number18
DOIs
StatePublished - 2009
Externally publishedYes

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