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Haematologica ; 104(7): 1440-1450, 2019 07.
Article in English | MEDLINE | ID: mdl-30733268

ABSTRACT

The emergence of treatment resistant sub-clones is a key feature of relapse in multiple myeloma. Therapeutic attempts to extend remission and prevent relapse include maximizing response and the use of maintenance therapy. We used whole exome sequencing to study the genetics of paired samples taken at presentation and at relapse from 56 newly diagnosed patients, following induction therapy, randomized to receive either lenalidomide maintenance or observation as part of the Myeloma XI trial. Patients included were considered high risk, relapsing within 30 months of maintenance randomization. Patients achieving a complete response had predominantly branching evolutionary patterns leading to relapse, characterized by a greater mutational burden, an altered mutational profile, bi-allelic inactivation of tumor suppressor genes, and acquired structural aberrations. Conversely, in patients achieving a partial response, the evolutionary features were predominantly stable with a similar mutational and structural profile seen at both time points. There were no significant differences between patients relapsing after lenalidomide maintenance versus observation. This study shows that the depth of response is a key determinant of the evolutionary patterns seen at relapse. This trial is registered at clinicaltrials.gov identifier: 01554852.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Biomarkers, Tumor/genetics , Clonal Evolution , Multiple Myeloma/pathology , Mutation , Neoplasm Recurrence, Local/pathology , Aged , Female , Follow-Up Studies , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Humans , Lenalidomide/administration & dosage , Maintenance Chemotherapy , Male , Multiple Myeloma/drug therapy , Multiple Myeloma/genetics , Neoplasm Recurrence, Local/drug therapy , Neoplasm Recurrence, Local/genetics , Remission Induction , Thalidomide/administration & dosage , Treatment Outcome , Exome Sequencing
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