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McDonald Z, Taylor P, Liyasova M, Liu Q, Ma B. Mass Spectrometry Provides a Highly Sensitive Noninvasive Means of Sequencing and Tracking M-Protein in the Blood of Multiple Myeloma Patients. J Proteome Res 2021; 20:4176-4185. [PMID: 34242034 DOI: 10.1021/acs.jproteome.0c01022] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The amino acid sequence of the M-protein for multiple myeloma is unique compared to the polyclonal antibodies in patients' blood. This uniqueness is exploited to develop an ultrasensitive M-protein detection method utilizing mass spectrometry (MS). The method involves the de novo amino acid sequencing of the full-length M-protein, and a targeted MS/MS assay to detect and quantify the unique M-protein sequence in serum samples. Healthy control serum spiked with NISTmAb and serial samples from an MM patient were used to demonstrate the ability of the platform to sequence and monitor a target M-protein. The de novo NISTmAb protein sequence obtained matched the published sequence, confirming the ability of the platform to accurately sequence a target M-protein in serum. NISTmAb was quantified down to 0.0002 g/dL in serum, a level hundreds of times more sensitive than conventional blood-based tests such as SPEP and IFE. The M-protein in the patient sample could be quantified throughout complete remission, demonstrating the utility of the assay to track M-protein considerably beyond the sensitivities of current blood-based tests. Notably, the assay detected a 2-fold rise in M-protein levels 10 months before any changes were detected by conventional IFE. The MS-based assay is highly sensitive, noninvasive, and requires only a small amount of serum, less than 100 μL. Sequencing data is deposited into PRIDE with identifier PXD022784, and quantification data can be found in Panorama Public with identifier PXD022980.
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Affiliation(s)
- Zac McDonald
- Rapid Novor, Inc., Kitchener, Ontario N2G 4X8, Canada
| | - Paul Taylor
- Rapid Novor, Inc., Kitchener, Ontario N2G 4X8, Canada
| | | | - Qixin Liu
- Rapid Novor, Inc., Kitchener, Ontario N2G 4X8, Canada
| | - Bin Ma
- University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
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2
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Tian M, Liu Z, Han M, Liu H, Xiang C, Mi F, Deng L, Meng N, Fu R. Malignant plasmacytes in bone marrow detected by flow cytometry as a predictor for the risk stratification system of multiple myeloma. CYTOMETRY PART B-CLINICAL CYTOMETRY 2021; 102:44-49. [PMID: 34057806 DOI: 10.1002/cyto.b.22024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/29/2021] [Accepted: 05/14/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND Multiple myeloma (MM) is a clonal disorder characterized by the proliferation of plasma cells and their accumulation within the bone marrow (BM). The flow cytometric analysis is an essential method for the hematological diseases because of high sensitivity. AIMS This study evaluates the indication role of malignant plasmacytes (PCs) in BM detected by flow cytometry for the risk stratification of MM. METHODS Whole BM samples from 92 newly diagnosed MM patients were included in the study. We collected 106 cells each sample by flow cytometry. Then we analyzed the correlation between the malignant PCs in BM and the characteristics of patients. RESULTS In this study, patients were stratified according to different baseline characteristics and the median ratio of the malignant PCs were compared. The significant statistical differences (p < 0.05) were: Hb < 100 g/L versus ≥100 g/L; β2-microglobulin <3.5 mg/dL versus 3.5-5.5 mg/dL versus >5.5 mg/dL; LDH > 250 U/L versus LDH 250 U/L; ISS I versus ISS II versus ISS III; R-ISS I versus II versus III. The detailed data are showed in Table 2. The significant correlations were observed between the malignant PCs in BM and (Figure 1): plasma cell of biopsy, hemoglobin, β2-microglobulin, lactate dehydrogenase (LDH), creatinine. "Double hit" or "triple hit" are defined as containing any two or three of the high risk cytogenetic abnormalities (t(4;14), t(14;16), t(14;20); del17q; TP53 mutation; 1q21 gain) by mSMAR. "Double or triple hit" had independently unfavorable significance for overall survival. As expected, the malignant PCs of "double or triple hit" group is significantly higher than the group B (one high risk genetic factor) and the group A (normal cytogenetic) (p < 0.0001 and p < 0.019). CONCLUSION Multiparametric flow cytometry is a highly sensitive method to identify and quantify malignant PCs. And the ratio of malignant PCs detected by MFC showed strongly correlation with the severity of the pathology of MM. Malignant PCs in BM detected by flow cytometry could be regarded as a predictor for the risk stratification system of MM. Thus, it should be considered applying in the routine evaluation of MM at diagnosis and after therapy.
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Affiliation(s)
- MengYue Tian
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - ZhaoYun Liu
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Mei Han
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Hui Liu
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Chenhuan Xiang
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Fu Mi
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Ling Deng
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Nanhao Meng
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Rong Fu
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
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3
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Maclachlan KH, Came N, Diamond B, Roshal M, Ho C, Thoren K, Mayerhoefer ME, Landgren O, Harrison S. Minimal residual disease in multiple myeloma: defining the role of next generation sequencing and flow cytometry in routine diagnostic use. Pathology 2021; 53:385-399. [PMID: 33674146 DOI: 10.1016/j.pathol.2021.02.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/01/2021] [Accepted: 02/03/2021] [Indexed: 12/11/2022]
Abstract
For patients diagnosed with multiple myeloma (MM) there have been significant treatment advances over the past decade, reflected in an increasing proportion of patients achieving durable remissions. Clinical trials repeatedly demonstrate that achieving a deep response to therapy, with a bone marrow assessment proving negative for minimal residual disease (MRD), confers a significant survival advantage. To accurately assess for minute quantities of residual cancer requires highly sensitive methods; either multiparameter flow cytometry or next generation sequencing are currently recommended for MM response assessment. Under optimal conditions, these methods can detect one aberrant cell amongst 1,000,000 normal cells (a sensitivity of 10-6). Here, we will review the practical use of MRD assays in MM, including challenges in implementation for the routine diagnostic laboratory, standardisation across laboratories and clinical trials, the clinical integration of MRD status assessment into MM management and future directions for ongoing research.
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Affiliation(s)
- Kylee H Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Haematology Service, Peter MacCallum Cancer Centre, East Melbourne, Vic, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vic, Australia.
| | - Neil Came
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vic, Australia; Pathology Department, Peter MacCallum Cancer Centre, East Melbourne, Vic, Australia
| | - Benjamin Diamond
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Caleb Ho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Katie Thoren
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marius E Mayerhoefer
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Myeloma Program, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Simon Harrison
- Haematology Service, Peter MacCallum Cancer Centre, East Melbourne, Vic, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vic, Australia
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4
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Bayly E, Nguyen V, Binek A, Piggin A, Baldwin K, Westerman D, Came N. Validation of a modified pre-lysis sample preparation technique for flow cytometric minimal residual disease assessment in multiple myeloma, chronic lymphocytic leukemia, and B-non Hodgkin lymphoma. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 98:385-398. [PMID: 32530574 DOI: 10.1002/cyto.b.21893] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 05/11/2020] [Accepted: 05/13/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Minimal residual disease (MRD) assessment of hematopoietic neoplasia below 10-4 requires more leukocytes than is usually attainable by post-lysis preparation. However, not all laboratories are resourced for consensus Euroflow pre-lysis methodology. Our study aim was to validate a modified pre-lysis protocol against our standard post-lysis method for MRD detection of multiple myeloma (MM), chronic lymphocytic leukemia (CLL), and B-non Hodgkin lymphoma (B-NHL), to meet demand for deeper MRD assessment by flow cytometry. METHOD Clinical samples for MRD assessment of MM, CLL, and B-NHL (50, 30, and 30 cases, respectively) were prepared in parallel by pre and post-lysis methods for the initial validation. Total leukocytes, MRD, and median fluorescence intensity of antigen expression were compared as measures of sensitivity and antigen stability. Lymphocyte and granulocyte composition were compared, assessing relative sample processing stability. Sensitivity of the pre-lysis assay was monitored post validation for a further 18 months. RESULTS Pre-lysis achieved at least 10-4 sensitivity in 85% MM, 81% CLL, and 90% B-NHL samples versus 24%, 48%, and 26% by post-lysis, respectively, with stable antigen expression and leukocyte composition. Post validation over 18 months with technical expertise improving, pre-lysis permitted 10-5 MRD assessment in 69%, 86%, and 82% of the respective patient groups. CONCLUSION This modified pre-lysis procedure provides a sensitive, robust, time efficient, and relatively cost-effective alternative for MRD testing by MFC at 10-5 , facilitating clinically meaningful deeper response assessment for MM, CLL, and B-NHL. This method adaptation may facilitate more widespread adoption of highly sensitive flow cytometry-based MRD assessment.
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Affiliation(s)
- Emma Bayly
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Clinical Haematology, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia
| | - Vuong Nguyen
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Adrian Binek
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Anna Piggin
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Clinical Haematology, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia
| | - Kylie Baldwin
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - David Westerman
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Clinical Haematology, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, Peter MacCallum Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Neil Came
- Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, Peter MacCallum Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
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5
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Rustad EH, Boyle EM. Monitoring minimal residual disease in the bone marrow using next generation sequencing. Best Pract Res Clin Haematol 2020; 33:101149. [PMID: 32139014 DOI: 10.1016/j.beha.2020.101149] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 01/10/2020] [Accepted: 01/13/2020] [Indexed: 12/25/2022]
Abstract
Achieving minimal residual disease (MRD) negativity in the bone marrow is one of the strongest prognostic factors in multiple myeloma. Consequently, MRD testing is routinely performed in clinical trials and moving towards standard of care. This review focuses on the role of next generation sequencing (NGS) of tumor-specific immunoglobulin V(D)J sequences for MRD tracking. The immunoglobulin variable regions are ideal targets for tracking, because every tumor cell shares an identical gene sequence, which is stable over time and generally distinct from the immunoglobulin sequences of normal B-cells. Several excellent assays for NGS-based MRD testing are available, both commercial and community-based, including one that is FDA-approved. These assays can achieve the gold standard analytical sensitivity of one tumor cell per million (10-6), requiring a minimum input of 3 million bone marrow cells. On-going clinical trials will outline how MRD testing should be used to inform dynamic risk-adopted therapy.
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Affiliation(s)
- Even H Rustad
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Eileen M Boyle
- Myeloma Research Program, NYU Langone Perlmutter Cancer Center, NYC, NY, 10016, USA
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6
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Kunacheewa C, Lee HC, Patel K, Thomas S, Amini B, Srour S, Bashir Q, Nieto Y, Qazilbash MH, Weber DM, Feng L, Orlowski RZ, Lin P, Manasanch EE. Minimal Residual Disease Negativity Does Not Overcome Poor Prognosis in High-Risk Multiple Myeloma: A Single-Center Retrospective Study. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2020; 20:e221-e238. [PMID: 32037287 DOI: 10.1016/j.clml.2020.01.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 12/28/2019] [Accepted: 01/02/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND Minimal residual disease (MRD) is a standard measurement for response assessment in multiple myeloma (MM). Despite new treatments, high-risk MM patients continue to have poor prognosis. We evaluated the effect of MRD negativity in high-risk versus standard-risk patients. PATIENTS AND METHODS We retrospectively evaluated all consecutive MM patients who underwent routine MRD testing by 1-tube 8-color advanced flow cytometry with 2,000,000 events and sensitivity level 10-5 at our center from 2015 to 2018 after initial therapy. Kaplan-Meier and log-rank test were used to assess survival estimates and differences between study groups. RESULTS One hundred thirty-six patients with MRD testing after initial therapy or autologous stem-cell transplantation were identified. At a median follow-up of 14 months (range, 1-36 months), progression-free survival and overall survival were significantly worse in high-risk versus standard-risk patients. During the study period, 50% of high-risk group had experienced disease progression (relapse and/or death) versus 20% in the standard-risk group (P = .0006). No patients with standard-risk died, but 4 (14%) in the high-risk group did (P = .0007). Regardless of MRD status, high-risk patients had statistically significant worse progression-free survival than standard-risk patients. At median follow-up, those with disease 10% standard-risk/MRD negative; 20% standard-risk/MRD positive; 40% high-risk/MRD negative; and 45% high-risk/MRD positive had either experienced relapse or died (P = .0041). MRD status did not significantly affect overall survival in either group (P = .0914); however, longer follow-up is needed to assess survival. CONCLUSION Genetic abnormalities remain a powerful prognostic indicator for MM, regardless of MRD status. For newly diagnosed MM patients treated with novel triple-drug initial therapy and frontline autologous stem-cell transplantation, MRD-negative status did not mitigate the poor-prognosis outcomes of high-risk MM patients.
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Affiliation(s)
- Chutima Kunacheewa
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hans C Lee
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Krina Patel
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sheeba Thomas
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Behrang Amini
- Division of Diagnostic Imaging, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Samer Srour
- Department of Stem Cell Transplantation, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Qaiser Bashir
- Department of Stem Cell Transplantation, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yago Nieto
- Department of Stem Cell Transplantation, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Muzzaffar H Qazilbash
- Department of Stem Cell Transplantation, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Donna M Weber
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Lei Feng
- Department of Statistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Pei Lin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Elisabet E Manasanch
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX.
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7
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Finak G, Jiang W, Gottardo R. CytoML for cross-platform cytometry data sharing. Cytometry A 2019; 93:1189-1196. [PMID: 30551257 PMCID: PMC6443375 DOI: 10.1002/cyto.a.23663] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/11/2018] [Accepted: 10/02/2018] [Indexed: 12/20/2022]
Abstract
CytoML is an R/Bioconductor package that enables cross‐platform import, export, and sharing of gated cytometry data. It currently supports Cytobank, FlowJo, Diva, and R, allowing users to import gated cytometry data from commercial platforms into R. Once data are available in R, the data can be further manipulated. For example it can be combined with other computational and analytic approaches, and the results can be exported to FlowJo or Cytobank to be explored by researchers using those platforms. We demonstrate how CytoML and related R packages can be used as a tool to import, modify and export several samples stained with the T cell panel from the FlowCAP IV Lyoplate data set. Once imported, the gating is modified using computational approaches, and exported for visualization in Cytobank and FlowJo. We further show how CytoML can be used to import gated data from a publicly accessible mass cytometry experiment from Cytobank. CytoML is the only tool that allows such sharing of gated cytometry data between researchers working across different platforms, and it will serve as a useful tool for validating and verifying the reproducibility of analyses. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
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Affiliation(s)
- Greg Finak
- Program in Biostatistics Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Western Australia
| | - Wenxin Jiang
- Program in Biostatistics Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Western Australia
| | - Raphael Gottardo
- Program in Biostatistics Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Western Australia
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8
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Romano A, Palumbo GA, Parrinello NL, Conticello C, Martello M, Terragna C. Minimal Residual Disease Assessment Within the Bone Marrow of Multiple Myeloma: A Review of Caveats, Clinical Significance and Future Perspectives. Front Oncol 2019; 9:699. [PMID: 31482061 PMCID: PMC6710454 DOI: 10.3389/fonc.2019.00699] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/15/2019] [Indexed: 12/11/2022] Open
Abstract
There is an increasing clinical interest in the measure and achievement of minimal residual disease (MRD) negativity in the bone marrow of Multiple Myeloma (MM) patients, as defined equally either by Multicolor Flow Cytometry (MFC) or by Next Generation Sequencing (NGS) technologies. At present, modern technologies allow to detect up to one on 104 or on 105 or even on 106 cells, depending on their throughput. MFC approaches, which have been progressively improved up to the so-called Next Generation Flow (NGF), and NGS, which proved clear advantages over ASO-PCR, can detect very low levels of residual disease in the BM. These methods are actually almost superimposable, in terms of MRD detection power, supporting the lack of unanimous preference for either technique on basis of local availability. However, some technical issues are still open: the optimal assay to use to detect either phenotype (e.g., next generation multidimensional flow cytometry, imaging) or genotype aberrations (e.g., ASO-RQ PCR, digital droplet PCR, NGS) and their standardization, the sample source (BM or peripheral blood, PB) and its pre-processing (red-cell lysis vs. Ficoll, fresh vs. frozen samples, requirement of CD138+ cells enrichment). Overall, MRD negativity is considered as the most powerful predictor of favorable long-term outcomes in MM and is likely to represent the major driver of treatment strategies in the near future. In this manuscript, we reviewed the main pitfalls and caveats of MRD detection within bone marrow in MM patients after front-line therapy, highlighting the improving of the currently employed technology and describing alternative methods for MRD testing in MM, such as liquid biopsy.
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Affiliation(s)
- Alessandra Romano
- Department of Surgery and Medical Specialties, University of Catania, Catania, Italy
| | - Giuseppe Alberto Palumbo
- Division of Hematology, Azienda Ospedaliero-Universitaria Policlinico Vittorio Emanuele di Catania, Catania, Italy
- Dipartimento di Scienze Mediche, Chirurgiche e Tecnologie avanzate “G.F. Ingrassia,” University of Catania, Catania, Italy
| | - Nunziatina Laura Parrinello
- Division of Hematology, Azienda Ospedaliero-Universitaria Policlinico Vittorio Emanuele di Catania, Catania, Italy
- Dipartimento di Scienze Mediche, Chirurgiche e Tecnologie avanzate “G.F. Ingrassia,” University of Catania, Catania, Italy
| | - Concetta Conticello
- Division of Hematology, Azienda Ospedaliero-Universitaria Policlinico Vittorio Emanuele di Catania, Catania, Italy
| | - Marina Martello
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Università degli Studi di Bologna, Bologna, Italy
| | - Carolina Terragna
- Istituto di Ematologia “L.A.Seràgnoli,” Azienda Ospedaliera Sant'Orsola-Malpighi, Bologna, Italy
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9
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Rustad EH, Hultcrantz M, Yellapantula VD, Akhlaghi T, Ho C, Arcila ME, Roshal M, Patel A, Chen D, Devlin SM, Jacobsen A, Huang Y, Miller JE, Papaemmanuil E, Landgren O. Baseline identification of clonal V(D)J sequences for DNA-based minimal residual disease detection in multiple myeloma. PLoS One 2019; 14:e0211600. [PMID: 30901326 PMCID: PMC6430394 DOI: 10.1371/journal.pone.0211600] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 01/16/2019] [Indexed: 12/21/2022] Open
Abstract
Tracking of clonal immunoglobulin V(D)J rearrangement sequences by next generation sequencing is highly sensitive for minimal residual disease in multiple myeloma. However, previous studies have found variable rates of V(D)J sequence identification at baseline, which could limit tracking. Here, we aimed to define the factors influencing the identification of clonal V(D)J sequences. Bone marrow mononuclear cells from 177 myeloma patients underwent V(D)J sequencing by the LymphoTrack assays (Invivoscribe). As a molecular control for tumor cell content, we sequenced the samples using our in-house myeloma panel myTYPE. V(D)J sequence clonality was identified in 81% of samples overall, as compared with 95% in samples where tumor-derived DNA was detectable by myTYPE. Clonality was detected more frequently in patients with lambda-restricted disease, mainly because of increased detection of kappa gene rearrangements. Finally, we describe how the tumor cell content of bone marrow aspirates decrease gradually in sequential pulls because of hemodilution: From the initial pull used for aspirate smear, to the final pull that is commonly used for research. In conclusion, baseline clonality detection rates of 95% or higher are feasible in multiple myeloma. Optimal performance depends on the use of good quality aspirates and/or subsequent tumor cell enrichment.
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Affiliation(s)
- Even H. Rustad
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Venkata D. Yellapantula
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Theresia Akhlaghi
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Caleb Ho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Maria E. Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Akshar Patel
- Center for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Denise Chen
- Marie-Josee and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Sean M. Devlin
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | | | - Ying Huang
- Invivoscribe, Inc, San Diego, CA, United States of America
| | | | - Elli Papaemmanuil
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
- * E-mail:
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10
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Rasche L, Alapat D, Kumar M, Gershner G, McDonald J, Wardell CP, Samant R, Van Hemert R, Epstein J, Williams AF, Thanendrarajan S, Schinke C, Bauer M, Ashby C, Tytarenko RG, van Rhee F, Walker BA, Zangari M, Barlogie B, Davies FE, Morgan GJ, Weinhold N. Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma. Leukemia 2018; 33:1713-1722. [PMID: 30573775 PMCID: PMC6586541 DOI: 10.1038/s41375-018-0329-0] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/24/2018] [Accepted: 10/10/2018] [Indexed: 02/08/2023]
Abstract
The iliac crest is the sampling site for minimal residual disease (MRD) monitoring in multiple myeloma (MM). However, the disease distribution is often heterogeneous, and imaging can be used to complement MRD detection at a single site. We have investigated patients in complete remission (CR) during first-line or salvage therapy for whom MRD flow cytometry and the two imaging modalities positron emission tomography (PET) and diffusion-weighted magnetic resonance imaging (DW-MRI) were performed at the onset of CR. Residual focal lesions (FLs), detectable in 24% of first-line patients, were associated with short progression-free survival (PFS), with DW-MRI detecting disease in more patients. In some patients, FLs were only PET positive, indicating that the two approaches are complementary. Combining MRD and imaging improved prediction of outcome, with double-negative and double-positive features defining groups with excellent and dismal PFS, respectively. FLs were a rare event (12%) in first-line MRD-negative CR patients. In contrast, patients achieving an MRD-negative CR during salvage therapy frequently had FLs (50%). Multi-region sequencing and imaging in an MRD-negative patient showed persistence of spatially separated clones. In conclusion, we show that DW-MRI is a promising tool for monitoring residual disease that complements PET and should be combined with MRD.
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Affiliation(s)
- L Rasche
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
| | - D Alapat
- Pathology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - M Kumar
- Radiology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - G Gershner
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - J McDonald
- Radiology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - C P Wardell
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - R Samant
- Radiology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - R Van Hemert
- Radiology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - J Epstein
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - A F Williams
- Pathology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - S Thanendrarajan
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - C Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - M Bauer
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - C Ashby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - R G Tytarenko
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - F van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - B A Walker
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - M Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - B Barlogie
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - F E Davies
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - G J Morgan
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - N Weinhold
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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11
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Landgren O, Rustad EH. Meeting report: Advances in minimal residual disease testing in multiple myeloma 2018. ACTA ACUST UNITED AC 2018. [DOI: 10.1002/acg2.26] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Ola Landgren
- Myeloma Service; Department of Medicine; Memorial Sloan Kettering Cancer Center; New York New York
| | - Even H. Rustad
- Myeloma Service; Department of Medicine; Memorial Sloan Kettering Cancer Center; New York New York
- Department of Clinical and Molecular Medicine; Norwegian University of Science and Technology, NTNU; Trondheim Norway
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12
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Landgren O. MRD Testing in Multiple Myeloma: From a Surrogate Marker of Clinical Outcomes to an Every-Day Clinical Tool. Semin Hematol 2018; 55:1-3. [PMID: 29759146 DOI: 10.1053/j.seminhematol.2018.03.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Accepted: 03/11/2018] [Indexed: 01/23/2023]
Abstract
Minimal residual disease (MRD) testing in multiple myeloma is here to stay. Studies show that MRD negativity is consistently associated with longer progression-free survival (PFS). It is just a matter of time until MRD negativity will become a regulatory endpoint for drug approval. Until that can happen, more analysis will be required to define the exact details of MRD in the regulatory setting. For example, for randomized studies there is need to define the amount of improvement in MRD negativity between the experimental arm and the control arm at a given time-point for a drug to obtain regulatory accelerated approval. Such efforts are underway. For the multiple myeloma field as a whole, important tasks for the (near) coming future are as follows: (1) to conduct or finalize the expanded analysis to define the exact details of MRD in the regulatory setting, (2) to develop new and better MRD assays-both more sensitive MRD assays for bone marrow aspirates and nonbone marrow aspirate-based assays (eg, blood-based and imaging-based MRD assays), and (3) to design novel clinical studies to formally assess the effect of MRD negativity in clinical decision making. The aim with this issue of the Journal is to provide a deep and comprehensive summary of the latest MRD knowledge in the field, and to outline future directions.
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Affiliation(s)
- Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
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