Johnson, DC, Lenive, O, Mitchell, J et al. (14 more authors) (2017) Neutral tumor evolution in myeloma is associated with poor prognosis. Blood, 130 (14). pp. 1639-1643. ISSN 0006-4971
Abstract
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 outcome we analysed whole exome sequencing tumor data for 333 patients from Myeloma XI, a UK phase III trial and 434 patients from the CoMMpass study, all of which had received immunomodulatory therapy (IMiD). By analysing mutant allele frequency distributions in tumors we found that 17-20% of MM is under neutral evolutionary dynamics. These tumors are associated with poorer patient survival in non-intensively treated patients, consistent with reduced therapeutic efficacy of micro-environment modulating IMiD drugs. Our findings provide evidence that knowledge of the evolutionary history of MM has relevance for predicting patient outcome and personalising therapy.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 American Society of Hematology. This is an author produced version of a paper published in Blood. This research was originally published in Johnson, DC, Lenive, O, Mitchell, J et al. (14 more authors) (2017) Neutral tumor evolution in myeloma is associated with poor prognosis. Blood. ISSN 0006-4971. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Tumor evolution, sequencing, multiple myeloma, prognosis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Clinical Trials Research (LICTR) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Sep 2017 11:03 |
Last Modified: | 21 Aug 2018 00:38 |
Status: | Published |
Publisher: | American Society of Hematology |
Identification Number: | 10.1182/blood-2016-11-750612 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121045 |