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Mason, M.J.* ; Schinke, C.* ; Eng, C.L.P.* ; Towfic, F.* ; Gruber, F.* ; Dervan, A.* ; White, B.S.* ; Pratapa, A.* ; Guan, Y.* ; Chen, H.* ; Cui, Y.* ; Li, B.* ; Yu, T.* ; Chaibub Neto, E.* ; Mavrommatis, K.* ; Ortiz, M.* ; Lyzogubov, V.* ; Bisht, K.* ; Dai, H.Y.* ; Schmitz, F.* ; Flynt, E.* ; Dan Rozelle* ; Danziger, S.A.* ; Ratushny, A.* ; Dalton, W.S.* ; Goldschmidt, H.P.* ; Avet-Loiseau, H.* ; Samur, M.* ; Hayete, B.* ; Sonneveld, P.* ; Shain, K.H.* ; Munshi, N.* ; Auclair, D.* ; Hose, D.* ; Morgan, G.* ; Trotter, M.* ; Bassett, D.* ; Goke, J.* ; Walker, B.A.* ; Thakurta, A.* ; Multiple Myeloma DREAM Consortium (Kurz, C.F.)

Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease.

Leukemia 34, 1866–1874 (2020)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
While the past decade has seen meaningful improvements in clinical outcomes for multiple myeloma patients, a subset of patients does not benefit from current therapeutics for unclear reasons. Many gene expression-based models of risk have been developed, but each model uses a different combination of genes and often involves assaying many genes making them difficult to implement. We organized the Multiple Myeloma DREAM Challenge, a crowdsourced effort to develop models of rapid progression in newly diagnosed myeloma patients and to benchmark these against previously published models. This effort lead to more robust predictors and found that incorporating specific demographic and clinical features improved gene expression-based models of high risk. Furthermore, post-challenge analysis identified a novel expression-based risk marker, PHF19, which has recently been found to have an important biological role in multiple myeloma. Lastly, we show that a simple four feature predictor composed of age, ISS, and expression of PHF19 and MMSET performs similarly to more complex models with many more gene expression features included.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
ISSN (print) / ISBN 0887-6924
e-ISSN 1476-5551
Journal Leukemia
Quellenangaben Volume: 34, Issue: , Pages: 1866–1874 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Health Economics and Health Care Management (IGM)