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Lookup NU author(s): Professor Graham Jackson
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© 2017 by The American Society of Hematology. Recent studies suggest that the evolutionary history of a cancer is important in forecasting clinical outlook. To gain insight into the clonal dynamics of multiple myeloma (MM) and its possible influence on patient outcomes, we analyzed whole exome sequencing tumor data for 333 patients from Myeloma XI, a UK phase 3 trial and 434 patients from the CoMMpass study, all of which had received immunomodulatory drug (IMiD) therapy. By analyzing mutant allele frequency distributions in tumors, we found that 17% to 20% of MM is under neutral evolutionary dynamics. These tumors are associated with poorer patient survival in nonintensively treated patients, which is consistent with the reduced therapeutic efficacy of microenvironment-modulating IMiDs. Our findings provide evidence that knowledge of the evolutionary history of MM has relevance for predicting patient outcomes and personalizing therapy.
Author(s): Johnson DC, Lenive O, Mitchell J, Jackson G, Owen R, Drayson M, Cook G, Jones JR, Pawlyn C, Davies FE, Walker BA, Wardell C, Gregory WM, Cairns D, Morgan GJ, Houlston RS, Kaiser MF
Publication type: Article
Publication status: Published
Journal: Blood
Year: 2017
Volume: 130
Issue: 14
Pages: 1639-1643
Print publication date: 05/10/2017
Online publication date: 21/08/2017
Acceptance date: 07/08/2017
ISSN (print): 0006-4971
ISSN (electronic): 1528-0020
Publisher: American Society of Hematology
URL: https://doi.org/10.1182/blood-2016-11-750612
DOI: 10.1182/blood-2016-11-750612
PubMed id: 28827410
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