Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis

Fenghuang Zhan, Bart Barlogie, Varant Arzoumanian, Yongsheng Huang, David R. Williams, Klaus Hollmig, Mauricio Pineda-Roman, Guido Tricot, Frits Van Rhee, Maurizio Zangari, Madhav Dhodapkar, John D. Shaughnessy

Research output: Contribution to journalArticlepeer-review

301 Scopus citations

Abstract

Monoclonal gammopathy of undetermined significance (MGUS) can progress to multiple myeloma (MM). Although these diseases share many of the same genetic features, it is still unclear whether global gene-expression profiling might identify prior genomic signatures that distinguish them. Through significance analysis of microarrays, 52 genes involved in important pathways related to cancer were differentially expressed in the plasma cells of healthy subjects (normal plasma-cell [NPC]; n = 22) and patients with stringently defined MGUS/smoldering MM (n = 24) and symptomatic MM (n = 351) (P < .001). Unsupervised hierarchical clustering of 351 patients with MM, 44 with MGUS (24 + 20), and 16 with MM from MGUS created 2 major cluster branches, one containing 82% of the MGUS patients and the other containing 28% of the MM patients, termed MGUS-like MM (MGUS-L MM). Using the same clustering approach on an independent cohort of 214 patients with MM, 27% were found to be MGUS-L. This molecular signature, despite its association with a lower incidence of complete remission (P < .006), was associated with low-risk clinical and molecular features and superior survival (P < .01). The MGUS-L signature was also seen in plasma cells from 15 of 20 patients surviving more than 10 years after autotransplantation. These data provide insight into the molecular mechanisms of plasma-cell dyscrasias.

Original languageEnglish (US)
Pages (from-to)1692-1700
Number of pages9
JournalBlood
Volume109
Issue number4
DOIs
StatePublished - Feb 15 2007

ASJC Scopus subject areas

  • Biochemistry
  • Immunology
  • Hematology
  • Cell Biology

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