Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
1.
Blood ; 2024 May 10.
Article in English | MEDLINE | ID: mdl-38728430

ABSTRACT

Acquisition of a hyperdiploid (HY) karyotype or immunoglobulin heavy chain (IGH) translocations are considered key initiating events in multiple myeloma (MM). To explore if other genomic events can precede these events, we analyzed whole-genome sequencing (WGS) data from 1173 MM samples. Integrating molecular time and structural variants (SV) within early chromosomal duplications, we indeed identified pre-gain deletions in 9.4% of HY patients without IGH translocations, challenging HY as the earliest somatic event. Remarkably, these deletions affected tumor suppressor genes (TSG) and/or oncogenes in 2.4% of HY patients without IGH translocations, supporting their role in MM pathogenesis. Furthermore, our study points to post-gain deletions as novel driver mechanisms in MM. Using multi-omics approaches to investigate their biological impact, we found associations with poor clinical outcome in newly diagnosed patients and profound effects on both oncogene and TSG activity, despite the diploid gene status. Overall, this study provides novel insights into the temporal dynamics of genomic alterations in MM.

2.
Nat Commun ; 12(1): 1861, 2021 03 25.
Article in English | MEDLINE | ID: mdl-33767199

ABSTRACT

Multiple myeloma (MM) is consistently preceded by precursor conditions recognized clinically as monoclonal gammopathy of undetermined significance (MGUS) or smoldering myeloma (SMM). We interrogate the whole genome sequence (WGS) profile of 18 MGUS and compare them with those from 14 SMMs and 80 MMs. We show that cases with a non-progressing, clinically stable myeloma precursor condition (n = 15) are characterized by later initiation in the patient's life and by the absence of myeloma defining genomic events including: chromothripsis, templated insertions, mutations in driver genes, aneuploidy, and canonical APOBEC mutational activity. This data provides evidence that WGS can be used to recognize two biologically and clinically distinct myeloma precursor entities that are either progressive or stable.


Subject(s)
Genome, Human/genetics , Monoclonal Gammopathy of Undetermined Significance/genetics , Multiple Myeloma/genetics , Smoldering Multiple Myeloma/genetics , DNA Copy Number Variations/genetics , Disease Progression , Humans , Monoclonal Gammopathy of Undetermined Significance/pathology , Multiple Myeloma/pathology , Polymorphism, Single Nucleotide/genetics , Risk Factors , Smoldering Multiple Myeloma/pathology , Whole Genome Sequencing
4.
Blood Rev ; 46: 100732, 2021 03.
Article in English | MEDLINE | ID: mdl-32771227

ABSTRACT

Multiple Myeloma, the second most prevalent hematologic malignancy, yet lacks an established curative therapy. However, overall response rate to modern four-drug regimens approaches 100%. Major efforts have thus focused on the measurement of minute quantities of residual disease (minimal residual disease or MRD) for prognostic metrics and therapeutic response evaluation. Currently, MRD is assessed by flow cytometry or by next generation sequencing to track tumor-specific immunoglobulin V(D)J rearrangements. These bone marrow-based methods can reach sensitivity thresholds of the identification of one neoplastic cell in 1,000,000 (10-6). New technologies are being developed to be used alone or in conjunction with established methods, including peripheral blood-based assays, mass spectrometry, and targeted imaging. Data is also building for MRD as a surrogate endpoint for overall survival. Here, we will address the currently utilized MRD assays, challenges in validation across labs and clinical trials, techniques in development, and future directions for successful clinical application of MRD in multiple myeloma.


Subject(s)
Multiple Myeloma/diagnosis , Neoplasm, Residual/diagnosis , Biomarkers, Tumor , Diagnostic Imaging , Disease Management , Flow Cytometry/methods , High-Throughput Nucleotide Sequencing/methods , Humans , Mass Spectrometry/methods , Molecular Diagnostic Techniques/methods , Molecular Diagnostic Techniques/standards , Multiple Myeloma/etiology
5.
J Mol Diagn ; 23(2): 181-199, 2021 02.
Article in English | MEDLINE | ID: mdl-33217553

ABSTRACT

The 2016 International Myeloma Working Group consensus recommendations emphasize high-sensitivity methods for minimal residual disease (MRD) detection, treatment response assessment, and prognostication. Next-generation sequencing (NGS) of IGH gene rearrangements is highly specific and sensitive, but its description in routine clinical practice and performance comparison with high-sensitivity flow cytometry (hsFC) remain limited. In this large, single-institution study including 438 samples from 251 patients, the use of NGS targeting the IGH and IGK genes for clonal characterization and monitoring, with comparison to hsFC, is described. The index clone characterization success rate was 93.6% (235/251), which depended on plasma cell (PC) cellularity, reaching 98% when PC ≥10% and below 80% when PC <5%. A total of 85% of cases were successfully characterized using leader and FR1 primer sets, and most clones showed high somatic hypermutation rates (median, 8.1%). Among monitoring samples from 124 patients, 78.6% (147/187) had detectable disease by NGS. Concordance with hsFC was 92.9% (170/183). Discordant cases encompassed 8 of 124 hsFC MRD+/NGS MRD- patients (6.5%) and 4 of 124 hsFC MRD-/NGS MRD+ patients (3.2%), all with low-level disease near detection limits for both assays. Among concordant hsFC MRD-/NGS MRD- cases, only 5 of 24 patients (20.8%) showed subsequent overt relapse at 3-year follow-up. HsFC and NGS showed similar operational sensitivity, and the choice of test may depend on practical, rather than test performance, considerations.


Subject(s)
Clone Cells/pathology , Flow Cytometry , High-Throughput Nucleotide Sequencing , Multiple Myeloma/diagnosis , Neoplasm, Residual/diagnosis , Base Sequence , Feasibility Studies , Humans , Plasma Cells/pathology , Recurrence , Reproducibility of Results , Sensitivity and Specificity
6.
Nat Commun ; 11(1): 3617, 2020 07 17.
Article in English | MEDLINE | ID: mdl-32680998

ABSTRACT

Multiple myeloma (MM) progression is characterized by the seeding of cancer cells in different anatomic sites. To characterize this evolutionary process, we interrogated, by whole genome sequencing, 25 samples collected at autopsy from 4 patients with relapsed MM and an additional set of 125 whole exomes collected from 51 patients. Mutational signatures analysis showed how cytotoxic agents introduce hundreds of unique mutations in each surviving cancer cell, detectable by bulk sequencing only in cases of clonal expansion of a single cancer cell bearing the mutational signature. Thus, a unique, single-cell genomic barcode can link chemotherapy exposure to a discrete time window in a patient's life. We leveraged this concept to show that MM systemic seeding is accelerated at relapse and appears to be driven by the survival and subsequent expansion of a single myeloma cell following treatment with high-dose melphalan therapy and autologous stem cell transplant.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/adverse effects , Clonal Evolution/drug effects , Hematopoietic Stem Cell Transplantation/adverse effects , Multiple Myeloma/pathology , Neoplasm Recurrence, Local/pathology , Antineoplastic Combined Chemotherapy Protocols/administration & dosage , Cell Survival/drug effects , Cell Survival/genetics , Disease Progression , Dose-Response Relationship, Drug , Humans , Male , Melphalan/administration & dosage , Melphalan/adverse effects , Middle Aged , Multiple Myeloma/diagnostic imaging , Multiple Myeloma/genetics , Multiple Myeloma/therapy , Mutation/drug effects , Neoplasm Invasiveness/genetics , Neoplasm Invasiveness/pathology , Neoplasm Recurrence, Local/diagnostic imaging , Neoplasm Recurrence, Local/genetics , Neoplasm Recurrence, Local/therapy , Positron Emission Tomography Computed Tomography , Single-Cell Analysis , Spatio-Temporal Analysis , Transplantation, Autologous/adverse effects , Whole Genome Sequencing
SELECTION OF CITATIONS
SEARCH DETAIL
...