ABSTRACT
Acute myeloid leukemia (AML), the most frequent leukemia in adults, is driven by recurrent somatically acquired genetic lesions in a restricted number of genes. Treatment with tyrosine kinase inhibitors has demonstrated that targeting of prevalent FMS-related receptor tyrosine kinase 3 (FLT3) gain-of-function mutations can provide significant survival benefits for patients, although the efficacy of FLT3 inhibitors in eliminating FLT3-mutated clones is variable. We identified a T cell receptor (TCR) reactive to the recurrent D835Y driver mutation in the FLT3 tyrosine kinase domain (TCRFLT3D/Y). TCRFLT3D/Y-redirected T cells selectively eliminated primary human AML cells harboring the FLT3D835Y mutation in vitro and in vivo. TCRFLT3D/Y cells rejected both CD34+ and CD34- AML in mice engrafted with primary leukemia from patients, reaching minimal residual disease-negative levels, and eliminated primary CD34+ AML leukemia-propagating cells in vivo. Thus, T cells targeting a single shared mutation can provide efficient immunotherapy toward selective elimination of clonally involved primary AML cells in vivo.
Subject(s)
Leukemia, Myeloid, Acute , Protein-Tyrosine Kinases , Adult , Humans , Animals , Mice , Mutation , Protein-Tyrosine Kinases/genetics , Gain of Function Mutation , Leukemia, Myeloid, Acute/genetics , Leukemia, Myeloid, Acute/therapy , Receptors, Antigen, T-Cell/genetics , fms-Like Tyrosine Kinase 3/geneticsABSTRACT
Tumor-infiltrating regulatory T cells (Tregs) contribute to an immunosuppressive tumor microenvironment. Despite extensive studies, the prognostic impact of tumor-infiltrating Tregs in B-cell non-Hodgkin lymphomas (B-NHLs) remains unclear. Emerging studies suggest substantial heterogeneity in the phenotypes and suppressive capacities of Tregs, emphasizing the importance of understanding Treg diversity and the need for additional markers to identify highly suppressive Tregs. Here, we applied single-cell RNA sequencing and T-cell receptor sequencing combined with high-dimensional cytometry to decipher the heterogeneity of intratumoral Tregs in diffuse large B-cell lymphoma and follicular lymphoma (FL), compared with that in nonmalignant tonsillar tissue. We identified 3 distinct transcriptional states of Tregs: resting, activated, and unconventional LAG3+FOXP3- Tregs. Activated Tregs were enriched in B-NHL tumors, coexpressed several checkpoint receptors, and had stronger immunosuppressive activity compared with resting Tregs. In FL, activated Tregs were found in closer proximity to CD4+ and CD8+ T cells than other cell types. Furthermore, we used a computational approach to develop unique gene signature matrices, which were used to enumerate each Treg subset in cohorts with bulk gene expression data. In 2 independent FL cohorts, activated Tregs was the major subset, and high abundance was associated with adverse outcome. This study demonstrates that Tregs infiltrating B-NHL tumors are transcriptionally and functionally diverse. Highly immunosuppressive activated Tregs were enriched in tumor tissue but absent in the peripheral blood. Our data suggest that a deeper understanding of Treg heterogeneity in B-NHL could open new paths for rational drug design, facilitating selective targeting to improve antitumor immunity.
Subject(s)
Lymphoma, Follicular , Lymphoma, Large B-Cell, Diffuse , Humans , T-Lymphocytes, Regulatory , CD8-Positive T-Lymphocytes , Prognosis , Immunosuppressive Agents , Tumor MicroenvironmentABSTRACT
PURPOSE: Chromosome 1 (chr1) copy-number abnormalities (CNA) and structural variants (SV) are frequent in newly diagnosed multiple myeloma (NDMM) and are associated with a heterogeneous impact on outcomes, the drivers of which are largely unknown. EXPERIMENTAL DESIGN: A multiomic approach comprising CRISPR, gene mapping of CNAs and SVs, methylation, expression, and mutational analysis was used to document the extent of chr1 molecular variants and their impact on pathway utilization. RESULTS: We identified two distinct groups of gain(1q): focal gains associated with limited gene-expression changes and a neutral prognosis, and whole-arm gains, which are associated with substantial gene-expression changes, complex genetics, and an adverse prognosis. CRISPR identified a number of dependencies on chr1 but only limited variants associated with acquired CNAs. We identified seven regions of deletion, nine of gain, three of chromothripsis (CT), and two of templated insertion (TI), which contain a number of potential drivers. An additional mechanism involving hypomethylation of genes at 1q may contribute to the aberrant gene expression of a number of genes. Expression changes associated with whole-arm gains were substantial and gene set enrichment analysis identified metabolic processes, apoptotic resistance, signaling via the MAPK pathway, and upregulation of transcription factors as being key drivers of the adverse prognosis associated with these variants. CONCLUSIONS: Multiple layers of genetic complexity impact the phenotype associated with CNAs on chr1 to generate its associated clinical phenotype. Whole-arm gains of 1q are the critically important prognostic group that deregulate multiple pathways, which may offer therapeutic vulnerabilities.
ABSTRACT
The emergence of SARS-CoV-2 variants of concern (VOC) is driven by mutations that mediate escape from neutralizing antibodies. There is also evidence that mutations can cause loss of T cell epitopes. However, studies on viral escape from T cell immunity have been hampered by uncertain estimates of epitope prevalence. Here, we map and quantify CD8 T cell responses to SARS-CoV-2-specific minimal epitopes in blood drawn from April to June 2020 from 83 COVID-19 convalescents. Among 37 HLA ligands eluted from five prevalent alleles and an additional 86 predicted binders, we identify 29 epitopes with an immunoprevalence ranging from 3% to 100% among individuals expressing the relevant HLA allele. Mutations in VOC are reported in 10.3% of the epitopes, while 20.6% of the non-immunogenic peptides are mutated in VOC. The nine most prevalent epitopes are conserved in VOC. Thus, comprehensive mapping of epitope prevalence does not provide evidence that mutations in VOC are driven by escape of T cell immunity.
Subject(s)
COVID-19 , SARS-CoV-2 , Humans , CD8-Positive T-Lymphocytes , COVID-19/immunology , Epitopes, T-Lymphocyte/genetics , Immunodominant Epitopes/genetics , SARS-CoV-2/geneticsSubject(s)
Multiple Myeloma , Humans , Multiple Myeloma/diagnosis , Body Mass Index , Bortezomib , Treatment OutcomeABSTRACT
PURPOSE: Minimal residual disease (MRD) negativity is a strong predictor for outcome in multiple myeloma. To assess V(D)J clonotype capture using the updated Adaptive next-generation sequencing (NGS) MRD assay in a clinical setting, we analyzed baseline and follow-up samples from patients with multiple myeloma who achieved deep clinical responses. EXPERIMENTAL DESIGN: A total of 159 baseline and 31 follow-up samples from patients with multiple myeloma were sequenced using the NGS MRD assay. Baseline samples were also sequenced using a targeted multiple myeloma panel (myTYPE). We estimated ORs with 95% confidence intervals (CI) for clonotypes detection using logistic regression. RESULTS: The V(D)J clonotype capture rate was 93% in baseline samples with detectable genomic aberrations, indicating presence of tumor DNA, assessed through myTYPE. myTYPE-positive samples had significantly higher V(D)J clonotype detection rates in univariate (OR, 7.3; 95% CI, 2.8-22.6) and multivariate analysis (OR, 4.4; 95% CI, 1.4-16.9; P = 0.016). Higher disease burden was associated with higher probability of V(D)J clonotype capture, meanwhile no such association was found for age, gender, or type of heavy or light immunoglobulin chain. All V(D)J clonotypes detected at baseline were detected in MRD-positive samples indicating that the V(D)J clonotypes remained stable and did not undergo further rearrangements during follow-up. Of the 31 posttreatment samples, 12 were MRD-negative using the NGS MRD assay. CONCLUSIONS: NGS for V(D)J rearrangements in multiple myeloma offers a reliable and sensitive method for MRD tracking with high detection rates in the clinical setting.
Subject(s)
Multiple Myeloma , DNA, Neoplasm , Gene Rearrangement , High-Throughput Nucleotide Sequencing/methods , Humans , Multiple Myeloma/diagnosis , Multiple Myeloma/drug therapy , Multiple Myeloma/genetics , Neoplasm, Residual/diagnosis , Neoplasm, Residual/geneticsABSTRACT
Analysis of the genetic basis for multiple myeloma (MM) has informed many of our current concepts of the biology that underlies disease initiation and progression. Studying these events in further detail is predicted to deliver important insights into its pathogenesis, prognosis and treatment. Information from whole genome sequencing of structural variation is revealing the role of these events as drivers of MM. In particular, we discuss how the insights we have gained from studying chromothripsis suggest that it can be used to provide information on disease initiation and that, as a consequence, it can be used for the clinical classification of myeloma precursor diseases allowing for early intervention and prognostic determination. For newly diagnosed MM, the integration of information on the presence of chromothripsis has the potential to significantly enhance current risk prediction strategies and to better characterize patients with high-risk disease biology. In this article we summarize the genetic basis for MM and the role played by chromothripsis as a critical pathogenic factor active at early disease phases.
Subject(s)
Chromothripsis , Multiple Myeloma , Humans , Multiple Myeloma/diagnosis , Multiple Myeloma/genetics , Multiple Myeloma/pathology , Whole Genome SequencingABSTRACT
Chromothripsis is detectable in 20-30% of newly diagnosed multiple myeloma (NDMM) patients and is emerging as a new independent adverse prognostic factor. In this study we interrogate 752 NDMM patients using whole genome sequencing (WGS) to investigate the relationship of copy number (CN) signatures to chromothripsis and show they are highly associated. CN signatures are highly predictive of the presence of chromothripsis (AUC = 0.90) and can be used identify its adverse prognostic impact. The ability of CN signatures to predict the presence of chromothripsis is confirmed in a validation series of WGS comprised of 235 hematological cancers (AUC = 0.97) and an independent series of 34 NDMM (AUC = 0.87). We show that CN signatures can also be derived from whole exome data (WES) and using 677 cases from the same series of NDMM, we are able to predict both the presence of chromothripsis (AUC = 0.82) and its adverse prognostic impact. CN signatures constitute a flexible tool to identify the presence of chromothripsis and is applicable to WES and WGS data.
Subject(s)
Chromothripsis , Gene Dosage , Multiple Myeloma/genetics , Humans , Multiple Myeloma/diagnosis , Multiple Myeloma/mortality , Prognosis , Exome Sequencing , Whole Genome SequencingABSTRACT
Background Lenalidomide maintenance improves progression-free survival for patients with multiple myeloma, although its optimal duration is unknown. Clearance of minimal residual disease (MRD) in the bone marrow results in superior outcomes, although its attainment or sustainment does not alter clinical decision-making. Studies that have evaluated MRD serially are limited in length. We therefore aimed to evaluate longitudinal changes in MRD-status (dynamics) and their association with progression-free survival in patients with multiple myeloma. METHODS: In this single-centre, single-arm, phase 2 study, we enrolled patients aged 18 years and older from the Memorial Sloan Kettering Cancer Center (New York, NY, USA) who had newly diagnosed multiple myeloma following unrestricted frontline therapy and an Eastern Cooperative Oncology Group Performance Status of 2 or lower, including patients who started maintenance before study enrolment. All participants received lenalidomide maintenance at 10 mg for 21 days of 28-day cycles until progression or unacceptable toxic effects for up to 5 years on protocol. The primary endpoint was progression-free survival at 60 months per protocol and key secondary endpoints were MRD rates after completion of the 12th, 24th, and 36th cycle of maintenance and the association between progression-free survival and annual measurement of MRD status. MRD was assessed from first-pull bone marrow aspirates at baseline and annually by flow cytometry per International Myeloma Working Group criteria, (limit of detection of at least 1â×â10-5) up to a maximum of 5 years. Patients who completed at least four cycles of treatment were included in the analysis of the primary endpoint, and patients who had completed at least one dose of treatment on protocol were assessable for secondary endpoints. The study was registered at ClinicalTrials.gov, NCT02538198, and is now closed to accrual. FINDINGS: Between Sept 8, 2015, and Jan 25, 2019, 108 patients (100 evaluable for the primary endpoint) were enrolled. Median follow-up was 40·7 months (95% CI 38·7-45·0). At 60 months, progression-free survival was 64% (95% CI 52-79). Median progression-free survival was unreached (95% CI unreached-unreached). MRD dynamics were assessed using 340 MRD assessments done over 5 years for 103 evaluable patients. Patients who sustained MRD negativity for 2 years (n=34) had no recorded disease progression at median 19·8 months (95% CI 15·8-22·3) past the 2-year maintenance landmark. By contrast, patients who lost their MRD-negative responses (n=10) were more likely to progress than those with sustained MRD negativity (HR infinite; p<0·0001) and those with persistent MRD positivity (HR 5·88, 95% CI 1·18-33·33; p=0·015) at the 2-year landmark. Haematological and non-haematological serious adverse events occurred in 19 patients (18%). The most common adverse events of grade 3 or worse were decreased lymphocyte count in 48 (44%) patients and decreased neutrophil count in 47 (44%) patients. One death occurred on study due to sepsis and heart failure and was considered unrelated to the study drug. INTERPRETATION: Serial measurements of MRD allow for dynamic assessment of risk for disease progression. Early intervention should be investigated for patients with loss of MRD negativity. Sustained MRD positivity is not categorically an unfavourable outcome and might portend prolonged stability of low-level disease. FUNDING: Memorial Sloan Kettering and Celgene.
Subject(s)
Lenalidomide/therapeutic use , Multiple Myeloma/drug therapy , Administration, Oral , Aged , Drug Administration Schedule , Female , Follow-Up Studies , Humans , Male , Middle Aged , Multiple Myeloma/pathology , Neoplasm Grading , Neoplasm, Residual , Progression-Free SurvivalABSTRACT
IMPORTANCE: Recently, the benefit of adding daratumumab to the proteasome inhibitor-based, 3-drug combination of bortezomib, lenalidomide, and dexamethasone for patients with newly diagnosed multiple myeloma who underwent high-dose melphalan chemotherapy and autologous hemopoietic cell transplant was assessed. Here, we examine the addition of daratumumab to the second-generation proteasome inhibitor-based, 3-drug combination of carfilzomib, lenalidomide, and dexamethasone. OBJECTIVE: To assess the safety and effectiveness of carfilzomib-lenalidomide-dexamethasone-daratumumab combination therapy for patients with newly diagnosed multiple myeloma, in the absence of high-dose melphalan chemotherapy and autologous hemopoietic cell transplant. DESIGN, SETTING, AND PARTICIPANTS: Clinical and correlative pilot study at the Memorial Sloan Kettering Cancer Center in New York, New York. Patients with newly diagnosed multiple myeloma were enrolled between October 1, 2018, and November 15, 2019. The median follow-up from start of treatment was 20.3 months (95% CI, 19.2-21.9 months). INTERVENTIONS: Eight 28-day cycles with intravenous carfilzomib, 20/56 mg/m2 (days 1, 8, and 15); oral lenalidomide, 25 mg, (days 1-21); dexamethasone, 40 mg weekly, orally or intravenously (cycles 1-4), and 20 mg after cycle 4; and intravenous daratumumab, 16 mg/kg (days 1, 8, 15, and 22 [cycles 1-2]; days 1 and 15 [cycles 3-6]; and day 1 [cycles 7 and 8]). MAIN OUTCOMES AND MEASURES: The primary end point was the minimal residual disease (MRD) rate, in the absence of high-dose melphalan chemotherapy and autologous hemopoietic cell transplant. Secondary end points included determining safety and tolerability, evaluating rates of clinical response per the International Myeloma Working Group, and estimating progression-free survival (PFS) and overall survival (OS) rates. RESULTS: Forty-one evaluable patients were enrolled (median age, 59 years; range, 30-70 years); 25 (61%) were female, and 20 (49%) had high-risk multiple myeloma. The primary end point (MRD negativity in the bone marrow; 10-5 sensitivity) was achieved in 29 of 41 patients (71%; 95% CI, 54%-83%), and therefore the trial was deemed successful. Median time to MRD negativity was 6 cycles (range, 1-8 cycles). Secondary end points of the overall response rate and the very good partial response or complete response rate were 100% (41 of 41 patients) and 95% (39 of 41 patients), respectively. At 11 months of the median follow-up, the 1-year PFS rate and the OS rate were 98% (95% CI, 93%-100%) and 100%, respectively. Most common (≥2 patients) grade 3 or 4 adverse events were neutropenia (12 patients [27%]), rash (4 patients [9%]), lung infection (3 patients [7%]), and increased alanine aminotransferase level (2 patients [4%]). There were no deaths. CONCLUSIONS AND RELEVANCE: In this nonrandomized clinical trial, carfilzomib-lenalidomide-dexamethasone-daratumumab combination therapy was associated with high rates of MRD negativity in patients with newly diagnosed multiple myeloma and high rates of PFS.
Subject(s)
Multiple Myeloma , Antibodies, Monoclonal , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Bortezomib , Dexamethasone , Female , Humans , Lenalidomide , Multiple Myeloma/diagnosis , Oligopeptides , Pilot ProjectsABSTRACT
Mutational signatures have emerged as powerful biomarkers in cancer patients, with prognostic and therapeutic implications. Wider clinical utility requires access to reproducible algorithms, which allow characterization of mutational signatures in a given tumor sample. Here, we show how mutational signature fitting can be applied to hematological cancer genomes to identify biologically and clinically important mutational processes, highlighting the importance of careful interpretation in light of biological knowledge. Our newly released R package mmsig comes with a dynamic error-suppression procedure that improves specificity in important clinical and biological settings. In particular, mmsig allows accurate detection of mutational signatures with low abundance, such as those introduced by APOBEC cytidine deaminases. This is particularly important in the most recent mutational signature reference (COSMIC v3.1) where each signature is more clearly defined. Our mutational signature fitting algorithm mmsig is a robust tool that can be implemented immediately in the clinic.
Subject(s)
Biomarkers, Tumor/analysis , DNA Mutational Analysis/methods , Hematologic Neoplasms/diagnosis , Mutation , Algorithms , Hematologic Neoplasms/genetics , Humans , Models, StatisticalABSTRACT
PURPOSE: The World Trade Center (WTC) attack of September 11, 2001 created an unprecedented environmental exposure to known and suspected carcinogens. High incidence of multiple myeloma and precursor conditions has been reported among first responders to the WTC disaster. To expand on our prior screening studies, and to characterize the genomic impact of the exposure to known and potential carcinogens in the WTC debris, we were motivated to perform whole-genome sequencing (WGS) of WTC first responders and recovery workers who developed a plasma cell disorder after the attack. EXPERIMENTAL DESIGN: We performed WGS of nine CD138-positive bone marrow mononuclear samples from patients who were diagnosed with plasma cell disorders after the WTC disaster. RESULTS: No significant differences were observed in comparing the post-WTC driver and mutational signature landscapes with 110 previously published WGSs from 56 patients with multiple myeloma and the CoMMpass WGS cohort (n = 752). Leveraging constant activity of the single-base substitution mutational signatures 1 and 5 over time, we estimated that tumor-initiating chromosomal gains were windowed to both pre- and post-WTC exposure. CONCLUSIONS: Although limitations in sample size preclude any definitive conclusions, our findings suggest that the observed increased incidence of plasma cell neoplasms in this population is due to complex and heterogeneous effects of the WTC exposure that may have initiated or contributed to progression of malignancy.
Subject(s)
Carcinogens, Environmental/toxicity , Emergency Responders , Neoplasms, Plasma Cell/etiology , September 11 Terrorist Attacks , Whole Genome Sequencing/methods , Aged , Environmental Exposure , Humans , Male , Middle Aged , Mutation , Neoplasms, Plasma Cell/epidemiology , Neoplasms, Plasma Cell/genetics , Polymorphism, Single NucleotideABSTRACT
Smoldering myeloma (SMM) is associated with a high-risk of progression to myeloma (MM). We report the results of a study of 82 patients with both targeted sequencing that included a capture of the immunoglobulin and MYC regions. By comparing these results to newly diagnosed myeloma (MM) we show fewer NRAS and FAM46C mutations together with fewer adverse translocations, del(1p), del(14q), del(16q), and del(17p) in SMM consistent with their role as drivers of the transition to MM. KRAS mutations are associated with a shorter time to progression (HR 3.5 (1.5-8.1), p = 0.001). In an analysis of change in clonal structure over time we studied 53 samples from nine patients at multiple time points. Branching evolutionary patterns, novel mutations, biallelic hits in crucial tumour suppressor genes, and segmental copy number changes are key mechanisms underlying the transition to MM, which can precede progression and be used to guide early intervention strategies.
Subject(s)
Evolution, Molecular , Smoldering Multiple Myeloma/genetics , APOBEC Deaminases/genetics , Adult , Aged , Aged, 80 and over , Alleles , Biomarkers, Tumor/metabolism , Clone Cells , DNA Copy Number Variations/genetics , Disease Progression , Female , Gene Expression Regulation, Neoplastic , Genes, Tumor Suppressor , Genome, Human , Humans , Male , Middle Aged , Multivariate Analysis , Mutation/genetics , Mutation Rate , Progression-Free Survival , Proto-Oncogene Proteins p21(ras)/genetics , Smoldering Multiple Myeloma/diagnosis , Time Factors , Translocation, GeneticABSTRACT
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 SpecificityABSTRACT
PURPOSE: Duration of first remission is important for the survival of patients with multiple myeloma. EXPERIMENTAL DESIGN: From the CoMMpass study (NCT01454297), 926 patients with newly diagnosed multiple myeloma, characterized by next-generation sequencing, were analyzed to evaluate those who experienced early progressive disease (PD; time to progression, TTP ≤18 months). RESULTS: After a median follow-up of 39 months, early PD was detected in 191/926 (20.6%) patients, 228/926 (24.6%) patients had late PD (TTP >18 months), while 507/926 (54.8%) did not have PD at the current follow-up. Compared with patients with late PD, patients with early PD had a lower at least very good partial response rate (47% vs. 82%, P < 0.001) and more frequently acquired double refractoriness to immunomodulatory drugs (IMiD) and proteasome inhibitors (PI; 21% vs. 8%, P < 0.001). Patients with early PD were at higher risk of death compared with patients with late PD and no PD (HR, 3.65; 95% CI, 2.7-4.93; P < 0.001), showing a dismal median overall survival (32.8 months). In a multivariate logistic regression model, independent factors increasing the early PD risk were TP53 mutation (OR, 3.78, P < 0.001), high lactate dehydrogenase levels (OR, 3.15, P = 0.006), λ-chain translocation (OR, 2.25, P = 0.033), and IGLL5 mutation (OR, 2.15, P = 0.007). Carfilzomib-based induction (OR, 0.15, P = 0.014), autologous stem-cell transplantation (OR, 0.27, P < 0.001), and continuous therapy with PIs and IMiDs (OR, 0.34, P = 0.024) mitigated the risk of early PD. CONCLUSIONS: Early PD identifies a high-risk multiple myeloma population. Further research is needed to better identify baseline features predicting early PD and the optimal treatment approaches for patients at risk.
Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Multiple Myeloma/drug therapy , Neoplasm Recurrence, Local/epidemiology , Aged , Antineoplastic Combined Chemotherapy Protocols/pharmacology , Disease Progression , Disease-Free Survival , Drug Resistance, Neoplasm/genetics , Female , Follow-Up Studies , High-Throughput Nucleotide Sequencing , Humans , Immunologic Factors/pharmacology , Immunologic Factors/therapeutic use , Longitudinal Studies , Male , Middle Aged , Multiple Myeloma/genetics , Multiple Myeloma/mortality , Neoplasm Recurrence, Local/genetics , Neoplasm Recurrence, Local/prevention & control , Prospective Studies , Proteasome Inhibitors/pharmacology , Proteasome Inhibitors/therapeutic use , Risk Assessment/methods , Time FactorsABSTRACT
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 SequencingABSTRACT
The evolution and progression of multiple myeloma and its precursors over time is poorly understood. Here, we investigate the landscape and timing of mutational processes shaping multiple myeloma evolution in a large cohort of 89 whole genomes and 973 exomes. We identify eight processes, including a mutational signature caused by exposure to melphalan. Reconstructing the chronological activity of each mutational signature, we estimate that the initial transformation of a germinal center B-cell usually occurred during the first 2nd-3rd decades of life. We define four main patterns of activation-induced deaminase (AID) and apolipoprotein B mRNA editing catalytic polypeptide-like (APOBEC) mutagenesis over time, including a subset of patients with evidence of prolonged AID activity during the pre-malignant phase, indicating antigen-responsiveness and germinal center reentry. Our findings provide a framework to study the etiology of multiple myeloma and explore strategies for prevention and early detection.
Subject(s)
Gene Expression Regulation, Neoplastic , Multiple Myeloma/etiology , Multiple Myeloma/genetics , APOBEC-1 Deaminase/metabolism , Cytidine Deaminase/metabolism , DNA Mutational Analysis , Early Detection of Cancer , Exome , Genetics , Germinal Center/pathology , Humans , Linear Models , Minor Histocompatibility Antigens/metabolism , Mutation , Proteins/metabolism , RNA Editing , RNA, Messenger , Single-Cell AnalysisABSTRACT
Multiple myeloma is the second most common lymphoproliferative disorder, characterized by aberrant expansion of monoclonal plasma cells. In the last years, thanks to novel next generation sequencing technologies, multiple myeloma has emerged as one of the most complex hematological cancers, shaped over time by the activity of multiple mutational processes and by the acquisition of key driver events. In this review, we describe how whole genome sequencing is emerging as a key technology to decipher this complexity at every stage of myeloma development: precursors, diagnosis and relapsed/refractory. Defining the time windows when driver events are acquired improves our understanding of cancer etiology and paves the way for early diagnosis and ultimately prevention.