Global methylation analysis identifies prognostically important epigenetically inactivated tumor suppressor genes in multiple myeloma

Outcome in multiple myeloma is highly variable and a better understanding of the factors that influence disease biology is essential to understand and predict behavior in individual patients. In the present study, we analyzed combined genomewide DNA methylation and gene expression data of patients t...

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Veröffentlicht in:Blood 2013-07, Vol.122 (2), p.219-226
Hauptverfasser: Kaiser, Martin F., Johnson, David C., Wu, Ping, Walker, Brian A., Brioli, Annamaria, Mirabella, Fabio, Wardell, Christopher P., Melchor, Lorenzo, Davies, Faith E., Morgan, Gareth J.
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Sprache:eng
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Zusammenfassung:Outcome in multiple myeloma is highly variable and a better understanding of the factors that influence disease biology is essential to understand and predict behavior in individual patients. In the present study, we analyzed combined genomewide DNA methylation and gene expression data of patients treated in the Medical Research Council Myeloma IX trial. We used these data to identify epigenetically repressed tumor suppressor genes with prognostic relevance in myeloma. We identified 195 genes with changes in methylation status that were significantly associated with prognosis. Combining DNA methylation and gene expression data led to the identification of the epigenetically regulated tumor modulating genes GPX3, RBP1, SPARC, and TGFBI. Hypermethylation of these genes was associated with significantly shorter overall survival, independent of age, International Staging System score, and adverse cytogenetics. The 4 differentially methylated and expressed genes are known to mediate important tumor suppressive functions including response to chemotherapy (TGFBI), interaction with the microenvironment (SPARC), retinoic acid signaling (RBP1), and the response to oxidative stress (GPX3), which could explain the prognostic impact of their differential methylation. Assessment of the DNA methylation status of the identified genes could contribute to the molecular characterization of myeloma, which is prerequisite for an individualized treatment approach. •Epigenetic inactivation of tumor suppressor genes is associated with an unfavorable prognosis in multiple myeloma.•Drug response and microenvironment interaction pathways are affected by epigenetic inactivation, linking tumor biology to prognosis.
ISSN:0006-4971
1528-0020
DOI:10.1182/blood-2013-03-487884