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1.
BMC Cancer ; 22(1): 147, 2022 Feb 05.
Article in English | MEDLINE | ID: mdl-35123422

ABSTRACT

BACKGROUND: Multiple myeloma remains an incurable disease with multiple relapses due to residual myeloma cells in the bone marrow of patients after therapy. Presence of small number of cancer cells in the body after cancer treatment, called minimal residual disease, has been shown to be prognostic for progression-free and overall survival. However, for multiple myeloma, it is unclear whether patients attaining minimal residual disease negativity may be candidates for treatment discontinuation. We investigated, if longitudinal flow cytometry-based monitoring of minimal residual disease (flow-MRD) may predict disease progression earlier and with higher sensitivity compared to biochemical assessments. METHODS: Patients from the Nordic countries with newly diagnosed multiple myeloma enrolled in the European-Myeloma-Network-02/Hovon-95 (EMN02/HO95) trial and undergoing bone marrow aspiration confirmation of complete response, were eligible for this Nordic Myeloma Study Group (NMSG) substudy. Longitdudinal flow-MRD assessment of bone marrow samples was performed to identify and enumerate residual malignant plasma cells until observed clinical progression. RESULTS: Minimal residual disease dynamics were compared to biochemically assessed changes in serum free light chain and M-component. Among 20 patients, reaching complete response or stringent complete response during the observation period, and with ≥3 sequential flow-MRD assessments analysed over time, increasing levels of minimal residual disease in the bone marrow were observed in six cases, preceding biochemically assessed disease and clinical progression by 5.5 months and 12.6 months (mean values), respectively. Mean malignant plasma cells doubling time for the six patients was 1.8 months (95% CI, 1.4-2.3 months). Minimal malignant plasma cells detection limit was 4 × 10-5. CONCLUSIONS: Flow-MRD is a sensitive method for longitudinal monitoring of minimal residual disease dynamics in multiple myeloma patients in complete response. Increasing minimal residual disease levels precedes biochemically assessed changes and is an early indicator of subsequent clinical progression. TRIAL REGISTRATION: NCT01208766.


Subject(s)
Flow Cytometry/statistics & numerical data , Multiple Myeloma/drug therapy , Multiple Myeloma/mortality , Neoplasm, Residual/diagnosis , Neoplasm, Residual/mortality , Adolescent , Adult , Female , Humans , Longitudinal Studies , Male , Middle Aged , Multiple Myeloma/pathology , Predictive Value of Tests , Prognosis , Randomized Controlled Trials as Topic , Remission Induction , Scandinavian and Nordic Countries , Sensitivity and Specificity , Withholding Treatment , Young Adult
2.
Am J Hematol ; 94(12): 1364-1373, 2019 12.
Article in English | MEDLINE | ID: mdl-31571261

ABSTRACT

Minimal residual disease (MRD) tracking, by next generation sequencing of immunoglobulin sequences, is moving towards clinical implementation in multiple myeloma. However, there is only sparse information available to address whether clonal sequences remain stable for tracking over time, and to what extent light chain sequences are sufficiently unique for tracking. Here, we analyzed immunoglobulin repertoires from 905 plasma cell myeloma and healthy control samples, focusing on the third complementarity determining region (CDR3). Clonal heavy and/or light chain expression was identified in all patients at baseline, with one or more subclones related to the main clone in 3.2%. In 45 patients with 101 sequential samples, the dominant clonal CDR3 sequences remained identical over time, despite differential clonal evolution by whole exome sequencing in 49% of patients. The low frequency of subclonal CDR3 variants, and absence of evolution over time in active multiple myeloma, indicates that tumor cells at this stage are not under selective pressure to undergo antibody affinity maturation. Next, we establish somatic hypermutation and non-templated insertions as the most important determinants of light chain clonal uniqueness, identifying a potentially trackable sequence in the majority of patients. Taken together, we show that dominant clonal sequences identified at baseline are reliable biomarkers for long-term tracking of the malignant clone, including both IGH and the majority of light chain clones.


Subject(s)
Complementarity Determining Regions/genetics , Gene Rearrangement, B-Lymphocyte, Heavy Chain , Gene Rearrangement, B-Lymphocyte, Light Chain , High-Throughput Nucleotide Sequencing , Multiple Myeloma/pathology , Biomarkers, Tumor , Bone Marrow/pathology , Bone Marrow Cells/metabolism , Clinical Trials as Topic/statistics & numerical data , Clonal Evolution , Clone Cells/pathology , Genes, Immunoglobulin , Humans , Immunoglobulin Heavy Chains/genetics , Immunoglobulin Light Chains/genetics , Multiple Myeloma/genetics , Neoplasm, Residual/diagnosis , Neoplasm, Residual/genetics , RNA, Messenger/genetics , RNA, Neoplasm/genetics , Somatic Hypermutation, Immunoglobulin , VDJ Exons
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