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Veenbergen S, Jugooa R, Te Marvelde J, de Vries ACH, van der Velden VHJ. Normal and malignant cells are homogeneously distributed in the bone marrow of children. Leuk Lymphoma 2024; 65:1186-1189. [PMID: 38587123 DOI: 10.1080/10428194.2024.2337782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 04/09/2024]
Affiliation(s)
- Sharon Veenbergen
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Romana Jugooa
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jeroen Te Marvelde
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Andrica C H de Vries
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent H J van der Velden
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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2
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Mikkilineni L, Natrakul DA, Lam N, Manasanch EE, Mann J, Weissler KA, Wong N, Brudno JN, Goff SL, Yang JC, Ganaden M, Patel R, Zheng Z, Gartner JJ, Martin KR, Wang HW, Yuan CM, Lowe T, Maric I, Shao L, Jin P, Stroncek DF, Highfill SL, Rosenberg SA, Kochenderfer JN. Rapid anti-myeloma activity by T cells expressing an anti-BCMA CAR with a human heavy-chain-only antigen-binding domain. Mol Ther 2024; 32:503-526. [PMID: 38155568 PMCID: PMC10861980 DOI: 10.1016/j.ymthe.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/08/2023] [Accepted: 12/21/2023] [Indexed: 12/30/2023] Open
Abstract
Multiple myeloma (MM) is a rarely curable malignancy of plasma cells. MM expresses B cell maturation antigen (BCMA). We developed a fully human anti-BCMA chimeric antigen receptor (CAR) with a heavy-chain-only antigen-recognition domain, a 4-1BB domain, and a CD3ζ domain. The CAR was designated FHVH33-CD8BBZ. We conducted the first-in-humans clinical trial of T cells expressing FHVH33-CD8BBZ (FHVH-T). Twenty-five patients with relapsed MM were treated. The stringent complete response rate (sCR) was 52%. Median progression-free survival (PFS) was 78 weeks. Of 24 evaluable patients, 6 (25%) had a maximum cytokine-release syndrome (CRS) grade of 3; no patients had CRS of greater than grade 3. Most anti-MM activity occurred within 2-4 weeks of FHVH-T infusion as shown by decreases in the rapidly changing MM markers serum free light chains, urine light chains, and bone marrow plasma cells. Blood CAR+ cell levels peaked during the time that MM elimination was occurring, between 7 and 15 days after FHVH-T infusion. C-C chemokine receptor type 7 (CCR7) expression on infusion CD4+ FHVH-T correlated with peak blood FHVH-T levels. Single-cell RNA sequencing revealed a shift toward more differentiated FHVH-T after infusion. Anti-CAR antibody responses were detected in 4 of 12 patients assessed. FHVH-T has powerful, rapid, and durable anti-MM activity.
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Affiliation(s)
- Lekha Mikkilineni
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Danielle A Natrakul
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Norris Lam
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Jennifer Mann
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Katherine A Weissler
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathan Wong
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research in the CCR Collaborative Bioinformatics Resource, National Cancer Institute, Bethesda, MD, USA
| | - Jennifer N Brudno
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie L Goff
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James C Yang
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Micaela Ganaden
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rashmika Patel
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhili Zheng
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jared J Gartner
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kathryn R Martin
- Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Hao-Wei Wang
- Flow Cytometry Unit, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Constance M Yuan
- Flow Cytometry Unit, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tyler Lowe
- Flow Cytometry Unit, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irina Maric
- Hematology Service, Department of Laboratory Medicine, Clinical Center, NIH, Bethesda, MD, USA
| | - Lipei Shao
- Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Ping Jin
- Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD, USA
| | - David F Stroncek
- Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Steven L Highfill
- Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Steven A Rosenberg
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James N Kochenderfer
- Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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3
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Óskarsson JÞ, Rögnvaldsson S, Thorsteinsdottir S, Aspelund T, Gunnarsson SB, Hákonardóttir GK, Sigurðardóttir GÁ, Þórðardóttir ÁR, Gíslason GK, Ólafsson A, Sigurðsson JK, Eyþórsson E, Jónsson Á, Viðarsson B, Önundarson PT, Agnarsson BA, Pálmason R, Sigurðardóttir M, Þorsteinsdóttir I, Ólafsson Í, Harding S, Flores-Montero J, Orfao A, Durie BGM, Love TJ, Kristinsson SY. Determining hemodilution in diagnostic bone marrow aspirated samples in plasma cell disorders by next-generation flow cytometry: Proposal for a bone marrow quality index. Blood Cancer J 2023; 13:177. [PMID: 38040702 PMCID: PMC10692231 DOI: 10.1038/s41408-023-00951-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
Hemodilution of bone marrow (BM) aspirates is a limitation of multiparameter flow cytometry (MFC) in plasma cell disorders. There is a need for a validated approach for assessing sample quality and the distribution of non-plasma cell BM populations by MFC could provide a solution. We evaluated BM-associated cell populations, assessed by next-generation flow cytometry (NGF) and white blood cell (WBC) count in 351 BM aspirated samples from 219 participants with plasma cell disorders in the Iceland Screens, Treats, or Prevents MM study (iStopMM), as markers of hemodilution by their discriminatory ability between first and (generally more hemodiluted) second pull BM aspirated samples. The most discriminating markers were used to derive a novel BM quality index (BMQI). Nucleated red blood cells and myeloid precursors provided the greatest discriminatory ability between first vs second pull samples (area under the curve (AUC): 0.87 and 0.85, respectively), significantly better than B cell precursors (AUC = 0.64; p < 0.001), mast cells (AUC = 0.65; p < 0.001), and the BM WBC count (AUC = 0.77; p < 0.05). We generated a novel BMQI that is intrinsic to current NGF protocols, for evaluating quality of diagnostic BM samples and suggest the use of a BMQI scoring system for interpreting results and guiding appropriate actions.
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Affiliation(s)
| | - Sæmundur Rögnvaldsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
| | - Sigrun Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Thor Aspelund
- Public Health Sciences, University of Iceland, Reykjavík, Iceland
| | | | | | | | | | | | - Andri Ólafsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | | | | | | | | | | | | | - Róbert Pálmason
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | | | | | | | | | - Juan Flores-Montero
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service (NUCLEUS), University of Salamanca; Biomedical Research Institute of Salamanca (IBSAL) and CIBERONC, Salamanca, Spain
| | - Alberto Orfao
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service (NUCLEUS), University of Salamanca; Biomedical Research Institute of Salamanca (IBSAL) and CIBERONC, Salamanca, Spain
| | - Brian G M Durie
- Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, CA, USA
| | - Thorvardur Jon Love
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
| | - Sigurdur Yngvi Kristinsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
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Roshal M, Gao Q. Flow Cytometry in Diagnosis, Prognostication, and Monitoring of Multiple Myeloma and Related Disorders. Clin Lab Med 2023; 43:363-375. [PMID: 37481317 DOI: 10.1016/j.cll.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
Flow cytometry plays a critical role in the diagnosis, prognostication, therapy response evaluation, and clinical management of plasma cell neoplasms. The review summarizes how flow cytometry is used in the initial evaluation to distinguish primary and secondary clonal plasma cell populations from each other and from reactive plasma cells. We further illustrate the kinds of prognostic information the assessment can provide at diagnosis and disease follow-up of primary plasma cell neoplasms. Technical requirements for MRD assays and their use in therapy efficacy assessment and clinical decision-making in multi-myeloma are discussed.
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Affiliation(s)
- Mikhail Roshal
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center.
| | - Qi Gao
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center
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5
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Rath A, Panda T, Dass J, Seth T, Mahapatra M, Tyagi S. Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience. J Lab Physicians 2023; 15:392-398. [PMID: 37564229 PMCID: PMC10411076 DOI: 10.1055/s-0043-1761204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Background Immunophenotyping and enumeration of plasma cells (PCs) by flow cytometry are deemed to be prognostically significant. However, PCs enumeration by flow cytometry is challenging owing to discrepancy with morphology and PCs loss during sample processing. Enumeration and differentiation of abnormal plasma cells (APCs) and normal plasma cells (NPCs) is difficult because abnormal antigen expression can be seen in subsets of NPCs. This is particularly true when a limited panel of antibodies are relied upon. Aims and purpose To study the immunophenotypic profile of newly diagnosed multiple myeloma (MM) cases by flow cytometry and evaluate the sensitivities and specificities of individual antigens and combinations. Methods We studied immunophenotype of PCs in newly diagnosed MM cases ( n = 48) and control cases ( n = 10) by a 6-color, 3-tube flow cytometry panel. The sensitivities and specificities of antigens in MM were evaluated and compared with control cases. Results Majority of MM cases ( n = 43) had < 3% NPCs. CD19 was the most sensitive (100%) and CD81 was the most specific marker (100%) for differentiating APCs from NPCs. CD38 MFI came out as a useful marker for APCs identification. In combination, CD19 and CD81 had a higher sensitivity and specificity to detect APCs. Conclusion NPCs may show aberrant antigen expression. A combination of multiple markers including CD81 and CD38 MFI should be used for accurate APC detection.
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Affiliation(s)
- Asish Rath
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Tribikram Panda
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Jasmita Dass
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Tulika Seth
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Manoranjan Mahapatra
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Seema Tyagi
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
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Dietz R, Lollie TK, Goh T, Rao N, Pullarkat S. Comparison of laboratory methods for the detection of neoplastic plasma cells in plasma cell dyscrasias. J Clin Pathol 2022; 75:739-743. [DOI: 10.1136/jcp-2022-208446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/22/2022] [Indexed: 11/03/2022]
Abstract
AimsTo compare the ability of immunohistochemistry (IHC), multiparameter flow cytometry (MFC) and fluorescence in situ hybridisation (FISH) to detect clonal plasma cells. We also attempted to outline a testing strategy for monitoring multiple myeloma patients.MethodsA retrospective review was performed on 278 CD138+sorted FISH studies from November 2019 to December 2020 along with their concurrent IHC and MFC results. A p value was computed using McNemar’s test for paired data. Association was calculated using the non-parametric Spearman correlation coefficient.ResultsUsing the Mc Nemar’s test for paired data, CD138+sorted FISH studies achieved the highest proportion of positive results and was significantly greater than MFC (63% vs 53%, p=0.01). FISH had more positive results than IHC, although this did not reach statistical significance (60% vs 57%, p=0.34). IHC and MFC had high correlation and high agreement (90.3% agreement, kappa=0.805, p<0.0001). CD138+sorted FISH studies achieved the highest proportion of positive results relative to IHC and MFC, indicating that it may be a reliable marker for clonal plasma cell detection.ConclusionsWhile CD138+sorted FISH is primarily used for prognostication, it may be employed as a single test for detection and monitoring clonality in certain scenarios. Further studies are needed to monitor the outcomes of patients with positive FISH and negative IHC and MFC. Additionally, there was high agreement between IHC and MFC, suggesting that performing both tests may not be necessary.
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Jain G, Das N, Gajendra S, Gangwar SP, Gupta R, Mallik S, Sharma A, Kumar L, Upadhyay AD. Effect of the sequence of pull of bone marrow aspirates on plasma cell quantification in plasma cell proliferative disorders. Int J Lab Hematol 2022; 44:837-845. [DOI: 10.1111/ijlh.13887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 05/11/2022] [Indexed: 02/04/2023]
Affiliation(s)
- Garima Jain
- Department of Laboratory Oncology Dr. BRAIRCH, AIIMS New Delhi India
| | - Nupur Das
- Department of Laboratory Oncology Dr. BRAIRCH, AIIMS New Delhi India
| | - Smeeta Gajendra
- Department of Laboratory Oncology Dr. BRAIRCH, AIIMS New Delhi India
| | | | - Ritu Gupta
- Department of Laboratory Oncology Dr. BRAIRCH, AIIMS New Delhi India
| | | | - Atul Sharma
- Department of Medical Oncology Dr. BRAIRCH, AIIMS New Delhi India
| | - Lalit Kumar
- Department of Medical Oncology Dr. BRAIRCH, AIIMS New Delhi India
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Soh KT, Came N, Otteson GE, Jevremovic D, Shi M, Olteanu H, Natoni A, Lagoo A, Theakston E, Óskarsson JÞ, Gorniak M, Grigoriadis G, Arroz M, Fletcher M, Lin P, Ludwig P, Tembhare P, Matuzeviciene R, Radzevicius M, Kay S, Chen W, Cabrita C, Wallace PK. Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis. CYTOMETRY PART B: CLINICAL CYTOMETRY 2022; 102:88-106. [PMID: 35005838 PMCID: PMC10105368 DOI: 10.1002/cyto.b.22053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/15/2021] [Accepted: 12/21/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Multiple myeloma (MM) measurable residual disease (MRD) evaluated by flow cytometry is a surrogate for progression-free and overall survival in clinical trials. However, analysis and reporting between centers lack uniformity. We designed and evaluated a consensus protocol for MM MRD analysis to reduce inter-laboratory variation in MM MRD reporting. METHODS Seventeen participants from 13 countries performed blinded analysis of the same eight de-identified flow cytometry files from patients with/without MRD using their own method (Stage 1). A consensus gating protocol was then designed following survey and discussions, and the data re-analyzed for MRD and other bone marrow cells (Stage 2). Inter-laboratory variation using the consensus strategy was reassessed for another 10 cases and compared with earlier results (Stage 3). RESULTS In Stage 1, participants agreed on MRD+/MRD- status 89% and 68% of the time respectively. Inter-observer variation was high for total numbers of analyzed cells, total and normal plasma cells (PCs), limit of detection, lower limit of quantification, and enumeration of cell populations that determine sample adequacy. The identification of abnormal PCs remained relatively consistent. By consensus method, average agreement on MRD- status improved to 74%. Better consistency enumerating all parameters among operators resulted in near-unanimous agreement on sample adequacy. CONCLUSION Uniform flow cytometry data analysis substantially reduced inter-laboratory variation in reporting multiple components of the MM MRD assay. Adoption of a harmonized approach would meet an important need for conformity in reporting MM MRD for clinical trials, and wider acceptance of MM MRD as a surrogate clinical endpoint.
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Affiliation(s)
- Kah Teong Soh
- Roswell Park Comprehensive Cancer Center Buffalo New York USA
| | - Neil Came
- Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | | | | | - Min Shi
- Mayo Clinic Rochester Minnesota USA
| | | | | | - Anand Lagoo
- Duke University Medical Center Durham North Carolina USA
| | | | | | | | | | - Maria Arroz
- Centro Hospitalar de Lisboa Ocidental Hospital S. Francisco Xavier Lisbon Portugal
| | - Matthew Fletcher
- UK NEQAS for Leucocyte Immunophenotyping, Department of Haematology Royal Hallamshire Hospital Sheffield UK
| | - Pei Lin
- MD Anderson Cancer Center Houston Texas USA
| | | | | | - Reda Matuzeviciene
- Institute of Biomedical Sciences, Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Faculty of Medicine Vilnius University Vilnius Lithuania
- Laboratory Medicine Centre Vilnius University Hospital Santaros Clinics Vilnius Lithuania
| | - Mantas Radzevicius
- Institute of Biomedical Sciences, Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Faculty of Medicine Vilnius University Vilnius Lithuania
- Laboratory Medicine Centre Vilnius University Hospital Santaros Clinics Vilnius Lithuania
| | - Sigi Kay
- Tel‐Aviv Sourasky Medical Center Tel‐Aviv Israel
| | - Weina Chen
- University of Texas Southwestern Medical Center Dallas Texas USA
| | | | - Paul K. Wallace
- Roswell Park Comprehensive Cancer Center Buffalo New York USA
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Yee AJ, Raje N. Minimal residual disease in multiple myeloma: why, when, where. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2021; 2021:37-45. [PMID: 34889430 PMCID: PMC8791109 DOI: 10.1182/hematology.2021000230] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Improvements in multiple myeloma therapy have led to deeper responses that are beyond the limit of detection by historical immunohistochemistry and conventional flow cytometry in bone marrow samples. In parallel, more sensitive techniques for assessing minimal residual disease (MRD) through next-generation flow cytometry and sequencing have been developed and are now routinely available. Deep responses when measured by these assays correspond with improved outcomes and survival. We review the data supporting MRD testing as well as its limitations and how it may fit in with current and future clinical practice.
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Affiliation(s)
- Andrew J Yee
- Center for Multiple Myeloma, Massachusetts General Hospital Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Noopur Raje
- Center for Multiple Myeloma, Massachusetts General Hospital Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
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10
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Soh KT, Wallace PK. Evaluation of measurable residual disease in multiple myeloma by multiparametric flow cytometry: Current paradigm, guidelines, and future applications. Int J Lab Hematol 2021; 43 Suppl 1:43-53. [PMID: 34288449 DOI: 10.1111/ijlh.13562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/22/2021] [Accepted: 04/07/2021] [Indexed: 12/16/2022]
Abstract
Multiple myeloma (MM) is a heterogeneous group of mature B-cell diseases that are typically characterized by the presence and accumulation of abnormal plasma cells (PCs), which results in the excess production of monoclonal immunoglobulin and/or light chain found in the serum and/or urine. Multiparametric flow cytometry (MFC) is an indispensable tool to supplement the diagnosis, classification and monitoring of the disease due to its high patient applicability, excellent sensitivity and encouraging results from various clinical trials. In this regard, minimal or, more appropriately, measurable residual disease (MRD) negativity by MFC has been recognized as a powerful predictor of favourable long-term outcomes. Before flow cytometry can be effectively implemented in the clinical setting for MM MRD testing, sample preparation, panel configuration, analysis and gating strategies must be optimized to ensure accurate results. This manuscript will discuss the current consensus guidelines for flow cytometric processing of samples and reporting of results for MM MRD testing. We also discuss alternative approaches to detect plasma cells in the presence of daratumumab treatment. Finally, there is a lack of information describing the subclonal distribution of myeloma cells based on their protein expression. The advent of high-dimensional analysis may assist in following the evolution of antigen expression patterns on abnormal plasma cells in patients with relapsed/refractory disease. This in turn can help identify clonal subtypes that are more aggressive for potential informed decision. An analysis using t-SNE to identify the emergence of PCs subclones by MFC, along with the analysis of their immunophenotypic profiles are presented as a future perspective.
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Affiliation(s)
- Kah Teong Soh
- Department of Flow and Image Cytometry, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Paul K Wallace
- Department of Flow and Image Cytometry, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
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11
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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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12
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Marrow uptake on FDG PET/CT is associated with progression from smoldering to symptomatic multiple myeloma. Skeletal Radiol 2021; 50:79-85. [PMID: 32621061 DOI: 10.1007/s00256-020-03529-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/16/2020] [Accepted: 06/21/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine association of body composition measurements on CT and PET with progression of smoldering myeloma to multiple myeloma. METHODS A retrospective cohort study in 65 patients with smoldering myeloma and PET/CT at diagnosis was performed at a tertiary cancer center. Subjects were between 38 and 87 years of age (mean 64) and included 37 males. Primary outcome was progression-free survival as a function of bone, fat, and muscle metrics on CT and PET (measured at the level of L4 pedicles) and clinical confounders. CT metrics included attenuation of L4 and retroperitoneal fat and various indices derived from the psoas muscle. PET measures included SUVmax and SUVmean of L4, retroperitoneal fat, and psoas. Cox proportional hazards modeling was performed with entry and retention criteria of p < 0.1 and p < 0.05, respectively. RESULTS SUVmax and SUVmean were associated for each compartment (R2 = 0.78-0.84), and SUVmean (SUV) was used for subsequent analyses. SUV of the L4 vertebral body was associated with attenuation of the L4 vertebral body (p = 0.0032). There was no association between SUV and CT for muscle and fat compartments. In the subset of patients with bone marrow biopsy results (n = 43), there was no association between SUV of L4 and plasma cell concentration on core biopsy or flow cytometry (p = 0.089 and 0.072, respectively). The final Cox model showed association with albumin (HR 0.29, 95%CI 0.088-0.93, p = 0.038), M protein (HR 1.31, 95%CI 1.021-1.68, p = 0.034), and SUV of L4 (HR 1.99, 95%CI 1.037-3.82, p = 0.039). CONCLUSION SUV of L4 is a prognostic indicator in patients with smoldering myeloma.
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Biological properties of bone marrow plasma cells influence their recovery in aspirate specimens: impact on classification of plasma cell disorders and potential bias to evaluation of treatment response. Ann Hematol 2020; 99:2599-2609. [PMID: 32935190 PMCID: PMC7536141 DOI: 10.1007/s00277-020-04249-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 09/01/2020] [Indexed: 01/22/2023]
Abstract
Methods to estimate bone marrow plasma cells (BMPC) basically include histopathology, cytomorphology, and flow cytometry. The present study compares the outcomes of these methods with special focus on the impact of BMPC-specific characteristics on their recovery by either method. Laboratory reports of diagnostic samples from 238 consecutive patients with suspected or known plasma cell disease were retrospectively analyzed. The median (IQR) proportion of BMPC was 30.0% (15.0–70.0%) by histological review (hBMPC), 7.0% (2.0–16.0%) by smear review (sBMPC), and 3.0% (0.8–10.0%) by flow cytometry (fBMPC). The disparity of results between core biopsy and aspirate smear was enhanced in case of poor quality of the smear, increased BM fiber content, higher grade cell atypia, expression of CD56 (all P < 0.0001), the number of cytogenetic aberrations (P = 0.0002), and abnormalities of the MYC gene (P = 0.0002). Conversely, expression of CD19 and a non-clonal plasma cell phenotype were associated with a lower difference between hBMPC and sBMPC (both P < 0.0001). The disparity between the percentages of sBMPC and fBMPC was associated with the quality of the smear (P = 0.0007) and expression of CD56 (P < 0.0001). Our results suggest that the recovery of BMPC in aspirate specimens not only is a matter of sampling quality but also depends on biological cell properties. Aspiration failure due to malignant type features of BMPC may lead to misclassification of plasma cell disorders and represent a bias for the detection of minimal residual disease after therapy.
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Shalabi H, Yuan CM, Kulshreshtha A, Dulau-Florea A, Salem D, Gupta GK, Roth M, Filie AC, Yates B, Delbrook C, Derdak J, Mackall CL, Lee DW, Fry TJ, Wayne AS, Stetler-Stevenson M, Shah NN. Disease detection methodologies in relapsed B-cell acute lymphoblastic leukemia: Opportunities for improvement. Pediatr Blood Cancer 2020; 67:e28149. [PMID: 31981407 PMCID: PMC7036332 DOI: 10.1002/pbc.28149] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 11/25/2019] [Accepted: 12/11/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Accurate disease detection is integral to risk stratification in B-cell acute lymphoblastic leukemia (ALL). The gold standard used to evaluate response in the United States includes morphologic evaluation and minimal residual disease (MRD) testing of aspirated bone marrow (BM) by flow cytometry (FC). This MRD assessment is usually made on a single aspirate sample that is subject to variability in collection techniques and sampling error. Additionally, central nervous system (CNS) assessments for ALL include evaluations of cytopathology and cell counts, which can miss subclinical involvement. PROCEDURE We retrospectively compared BM biopsy, aspirate, and FC samples obtained from children and young adults with relapsed/refractory ALL to identify the frequency and degree of disease discrepancies in this population. We also compared CNS FC and cytopathology techniques. RESULTS Sixty of 410 (14.6%) BM samples had discrepant results, 41 (10%) of which were clinically relevant as they resulted in a change in the assignment of marrow status. Discrepant BM results were found in 28 of 89 (31.5%) patients evaluated. Additionally, cerebrospinal fluid (CSF) FC identified disease in 9.7% of cases where cytopathology was negative. CONCLUSIONS These results support further investigation of the role of concurrent BM biopsy, with aspirate and FC evaluations, and the addition of FC to CSF evaluations, to fully assess disease status and response, particularly in patients with relapsed/refractory ALL. Prospective studies incorporating more comprehensive analysis to evaluate the impact on clinical outcomes are warranted.
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Affiliation(s)
- Haneen Shalabi
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD
| | | | - Amita Kulshreshtha
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Alina Dulau-Florea
- Department of Laboratory Medicine, Clinical Center, Hematology Section, NIH, Bethesda, MD
| | - Dalia Salem
- Laboratory of Pathology, CCR, NCI, NIH, Bethesda, MD,Mansoura University Faculty of Medicine, Clinical Pathology, Mansoura EG
| | - Gaurav K. Gupta
- Department of Laboratory Medicine, Clinical Center, Hematology Section, NIH, Bethesda, MD
| | - Mark Roth
- Laboratory of Pathology, CCR, NCI, NIH, Bethesda, MD
| | | | - Bonnie Yates
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Cindy Delbrook
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Joanne Derdak
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Crystal L. Mackall
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD,Cancer Immunology and Immunotherapy Program, Stanford University
| | - Daniel W. Lee
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD,Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Virginia
| | - Terry J. Fry
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD,Division of Human Immunology and Immunotherapy Initiative, Pediatric Hematology/Oncology, Children’s Hospital of Colorado
| | - Alan S. Wayne
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD,Children’s Center for Cancer and Blood Diseases, Division of Hematology, Oncology and Blood and Marrow Transplantation, Children’s Hospital Los Angeles, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Nirali N. Shah
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, MD
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15
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Roshal M. Measurable disease evaluation in patients with myeloma. Best Pract Res Clin Haematol 2020; 33:101154. [PMID: 32139019 DOI: 10.1016/j.beha.2020.101154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 01/30/2020] [Indexed: 01/09/2023]
Abstract
Recent years saw significant breakthroughs in treatment of multiple myeloma. Durable remissions are now seen in a significant proportion of patients with the previously uniformly incurable and progressive disease. Yet because of deep suppression of the neoplastic myeloma clones by the newer therapies, older disease monitoring techniques are insufficient to distinguish between the patients at high risk of imminent relapse and those in whom durable remission is expected. This review briefly describes prognostic and therapeutic implications of measurable disease (MRD) evaluation, explains why deep MRD evaluation is needed for patients without morphologic evidence of disease, and reviews the state of the art of evaluation of myeloma MRD by flow cytometry.
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Affiliation(s)
- Mikhail Roshal
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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16
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Manasanch EE. What to do with minimal residual disease testing in myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2019; 2019:137-141. [PMID: 31808833 PMCID: PMC6913484 DOI: 10.1182/hematology.2019000080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
The role and use of minimal residual disease (MRD) testing has changed significantly over the past few years as it has become part of the routine care for response assessment in multiple myeloma. The most widely used standardized methods to assess MRD in myeloma in the bone marrow are multicolor flow cytometry and next-generation sequencing. Importantly, the depth of MRD negativity in the bone marrow correlates with improved progression-free survival and overall survival in myeloma. Whole-body position emission tomography-computed tomography and magnetic resonance imaging are also used to evaluate patchy and extramedullary disease, which may not be readily visible through bone marrow assessment. This article reviews a clinical case in which MRD testing, both in bone marrow and in functional imaging, is part of the standard of care. It also reviews the different modalities of MRD testing and current practice guidelines. Finally, patients with myeloma may be tested for MRD after treatment because this is part of the routine response assessment according to International Myeloma Working Group criteria and correlates with clinical outcomes. Important questions such as when to stop therapy for sustained MRD-negative patients or whether to change treatments for patients who go from MRD negative to positive without other evidence of disease relapse are being evaluated in clinical trials and remain controversial.
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Affiliation(s)
- Elisabet E Manasanch
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
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17
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Salem DA, Maric I, Yuan CM, Liewehr DJ, Venzon DJ, Kochenderfer J, Stetler-Stevenson M. Quantification of B-cell maturation antigen, a target for novel chimeric antigen receptor T-cell therapy in Myeloma. Leuk Res 2018; 71:106-111. [PMID: 30053652 DOI: 10.1016/j.leukres.2018.07.015] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 07/15/2018] [Accepted: 07/16/2018] [Indexed: 01/17/2023]
Abstract
B-cell maturation antigen (BCMA) is expressed by normal and malignant plasma cells and is targeted via anti-BCMA chimeric antigen receptor T-cell therapy (BCMA CAR T-cell therapy) in plasma cell myeloma (PCM) patients. Surface BCMA expression is required for CAR T-cell binding and killing. We determined the incidence and intensity of expression of BCMA in bone marrow PCM cells using flow cytometry (FC) and immunohistochemistry (IHC). PCM BCMA expression was assessed by FC in 70 patients and in 43 concurrent specimens by IHC. BCMA expression was detected in 94% of patients. FC could assess BCMA expression in all specimens and expression was quantifiable (QuantiBRITE system, BD Biosciences, San Jose, CA) in 89% of cases. Expression was highly variable and could be numerically classified into dim, moderate or bright levels of expression. In the 43 specimens assessed successfully by both IHC and FC, FC showed higher positivity rate (97%) than IHC (72%), indicating that FC is more useful than IHC in detection of BCMA (p = 0.002; McNemar's test). We conclude that FC is more sensitive than IHC and can be used to objectively quantify BCMA expression by myeloma cells. IHC is primarily useful when there is significant infiltration of the bone marrow by myeloma and is less sensitive with low numbers of myeloma cells. Furthermore, the ability of FC to differentiate between normal and abnormal plasma cells and to quantify BCMA on these cells, makes it a useful and sensitive tool in screening patients for CAR T-cell therapy and for follow-up post therapy.
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Affiliation(s)
- Dalia A Salem
- Flow Cytometry, Laboratory of Pathology, CCR, NCI, NIH, USA; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Egypt.
| | | | | | - David J Liewehr
- Biostatistics and Data Management Section, CCR, NCI, NIH, USA
| | - David J Venzon
- Biostatistics and Data Management Section, CCR, NCI, NIH, USA
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18
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Roshal M. Minimal Residual Disease Detection by Flow Cytometry in Multiple Myeloma: Why and How? Semin Hematol 2018; 55:4-12. [PMID: 29759152 DOI: 10.1053/j.seminhematol.2018.02.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 02/27/2018] [Indexed: 11/11/2022]
Abstract
The outlook for myeloma patients has steadily improved with the introduction of newer drug combinations in recent years. Unlike older therapies that largely achieved only modest levels of neoplastic clone reduction, the newer drug combinations have led to deeper suppression of myeloma clones in most patients. Frequently the neoplastic clones become undetectable with traditional disease evaluation approaches. Recent studies using ultrasensitive disease monitoring have demonstrated that patients with disease undetectable by traditional techniques show wide heterogeneity in disease levels varying by several orders of magnitude. Moreover, measurement of the depth of disease suppression even at very low level has emerged as the most powerful prognostication tool in myeloma. Minimal (or measurable) residual disease (MRD) evaluation has also been proposed as a relevant tool in assessment of drug efficacy and in selection of further therapeutic options. In the face of the robust MRD measurement utility data, it has become critical to develop widely applicable disease monitoring techniques that can be applied to more patients in a variety of clinical setting. Both DNA-based and flow cytometry-based approaches have been successfully developed for this purpose achieving sensitivity approaching 1 neoplastic cell in a million. This review article focuses on the theoretical and practical aspects and challenges of deep MRD monitoring in myeloma by flow cytometry. Challenges of flow cytometric disease monitoring in the era of antigen-directed therapy are also discussed.
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Affiliation(s)
- Mikhail Roshal
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
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19
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Salem DAR, Korde N, Venzon DJ, Liewehr DJ, Maric I, Calvo KR, Braylan R, Tembhare PR, Yuan CM, Landgren CO, Stetler-Stevenson M. Expression of the IL-6 receptor alpha-chain (CD126) in normal and abnormal plasma cells in monoclonal gammopathy of undetermined significance and smoldering myeloma. Leuk Lymphoma 2017; 59:178-186. [PMID: 28540748 DOI: 10.1080/10428194.2017.1321746] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IL-6 activity in normal plasma cells (nPCs) and abnormal plasma cells (aPCs) is CD126 (subunit of IL-6 receptor) dependent. We quantified CD126 expression on nPCs and aPCs in monoclonal gammopathy of undetermined significance (MGUS), smoldering myeloma (SMM), and multiple myeloma (MM). CD126 was detected on all nPCs and aPCs indicating that CD126 does not have diagnostic utility. CD126 expression was higher in aPCs than in nPCs in 85% SMM but only 41% MGUS and there was evidence that CD126 was higher in aPCs than nPCs in the SMM (p = .048) but not MGUS (p = .96) patients. There is also a greater association between nPC and aPC CD126 expression in low risk MGUS than observed in high risk MGUS and SMM, suggesting normal regulation of CD126 decreases with disease progression. Future studies need to elucidate the role of bone marrow milieu versus escape from normal CD126 regulation in malignant transformation of clonal plasma cells.
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Affiliation(s)
- Dalia Abdel-Raouf Salem
- a Laboratory of Pathology , CCR, NCI, NIH , Bethesda , MD , USA.,b Department of Clinical Pathology, Faculty of Medicine , Mansoura University , Mansoura , Egypt
| | - Neha Korde
- c Myeloma Service, Department of Medicine , Memorial Sloan-Kettering Cancer Center , New York , NY , USA
| | - David J Venzon
- d Biostatistics and Data Management Section, CCR, NCI, NIH , Bethesda , MD , USA
| | - David J Liewehr
- d Biostatistics and Data Management Section, CCR, NCI, NIH , Bethesda , MD , USA
| | - Irina Maric
- e Hematology Service, Department of Laboratory Medicine , CC, NIH , Bethesda , MD , USA
| | - Katherine R Calvo
- e Hematology Service, Department of Laboratory Medicine , CC, NIH , Bethesda , MD , USA
| | - Raul Braylan
- e Hematology Service, Department of Laboratory Medicine , CC, NIH , Bethesda , MD , USA
| | | | | | - Carl Ola Landgren
- c Myeloma Service, Department of Medicine , Memorial Sloan-Kettering Cancer Center , New York , NY , USA
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Tran DN, Smith SABC, Brown DA, Parker AJC, Joseph JE, Armstrong N, Sewell WA. Polychromatic flow cytometry is more sensitive than microscopy in detecting small monoclonal plasma cell populations. CYTOMETRY PART B-CLINICAL CYTOMETRY 2016; 92:136-144. [PMID: 27416483 DOI: 10.1002/cyto.b.21401] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Revised: 05/19/2016] [Accepted: 07/13/2016] [Indexed: 11/11/2022]
Abstract
BACKGROUND There is an emerging role for flow cytometry (FC) in the assessment of small populations of plasma cells (PC). However, FC's utility has been questioned due to consistent underestimation of the percentage of PC compared to microscopy. METHODS A retrospective study was performed on bone marrow samples analysed by 8-colour FC. Plasma cell populations were classified as polyclonal or monoclonal based on FC analysis. FC findings were compared with microscopy of aspirates, histology and immunohistochemistry of trephine biopsies, and immunofixation (IFX) of serum and/or urine. RESULTS FC underestimated PC compared to aspirate and trephine microscopy. The 10% diagnostic cutoff for MM on aspirate microscopy corresponded to a 3.5% cutoff on FC. Abnormal plasma cell morphology by aspirate microscopy and clonality by FC correlated in 229 of 294 cases (78%). However, in 50 cases, FC demonstrated a monoclonal population but microscopy reported no abnormality. In 15 cases, abnormalities were reported by microscopy but not by FC. Clonality assessment by trephine microscopy and FC agreed in 251/280 cases (90%), but all 29 discordant cases were monoclonal by FC and not monoclonal by microscopy. These cases had fewer PC and proportionally more polyclonal PC, and when IFX detected a paraprotein, it had the same light chain as in the PC determined by FC. CONCLUSIONS FC was more sensitive in detecting monoclonal populations that were small or accompanied by polyclonal PC. This study supports the inclusion of FC in the evaluation of PC, especially in the assessment of small populations. © 2016 International Clinical Cytometry Society.
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Affiliation(s)
- Daniel N Tran
- Immunology Department, SydPath, St Vincent's Hospital Sydney, New South Wales, Australia.,St Vincent's Clinical School, University of New South Wales, New South Wales, Australia.,Garvan Institute of Medical Research, New South Wales, Australia
| | - Sandy A B C Smith
- Immunology Department, SydPath, St Vincent's Hospital Sydney, New South Wales, Australia
| | - David A Brown
- Immunology Department, SydPath, St Vincent's Hospital Sydney, New South Wales, Australia.,St Vincent's Clinical School, University of New South Wales, New South Wales, Australia.,Applied Medical Research Centre, St Vincent's Hospital Sydney, New South Wales, Australia
| | - Andrew J C Parker
- Anatomical Pathology Department, SydPath, St Vincent's Hospital Sydney, New South Wales, Australia
| | - Joanne E Joseph
- St Vincent's Clinical School, University of New South Wales, New South Wales, Australia.,Applied Medical Research Centre, St Vincent's Hospital Sydney, New South Wales, Australia.,Haematology Department, SydPath, St Vincent's Hospital Sydney, New South Wales, Australia
| | - Nicola Armstrong
- Garvan Institute of Medical Research, New South Wales, Australia.,Mathematics and Statistics, Murdoch University, Western Australia, Australia
| | - William A Sewell
- Immunology Department, SydPath, St Vincent's Hospital Sydney, New South Wales, Australia.,St Vincent's Clinical School, University of New South Wales, New South Wales, Australia.,Garvan Institute of Medical Research, New South Wales, Australia
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Royston DJ, Gao Q, Nguyen N, Maslak P, Dogan A, Roshal M. Single-Tube 10-Fluorochrome Analysis for Efficient Flow Cytometric Evaluation of Minimal Residual Disease in Plasma Cell Myeloma. Am J Clin Pathol 2016; 146:41-9. [PMID: 27402608 DOI: 10.1093/ajcp/aqw052] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Widespread adoption of recent recommendations for minimal residual disease (MRD) detection in myeloma has partly been impeded by a paucity of studies detailing multiparameter flow cytometry (MPF) assay validation. In response, we have validated a novel and efficient single-tube 10-color assay for MRD detection that incorporates the recently recommended plasma cell markers. METHODS Aspirate samples from 53 patients with plasma cell disorder were analyzed using a novel single-tube 10-color method. The limit of detection, precision of measurement, and linearity of measurement of our new assay were determined using serial dilution experiments. The stability of the new antibody cocktail and the viability/specificity of stained samples were evaluated using serial time course measurements. RESULTS There was a high degree of quantitative agreement between our new 10-color method and an established eight-color method. Four positive samples detected by the 10-color assay were below or at the limit of detection of the eight-color assay, confirming its high sensitivity. In two cases, subsequent revision of the International Myeloma Working Group Uniform Response Criteria was necessary. CONCLUSION Adoption of our validated 10-color assay would enable clinical laboratories to satisfy current MRD recommendations without significantly increasing the demands on current workflow practices.
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Affiliation(s)
| | - Qi Gao
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nghia Nguyen
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Peter Maslak
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mikhail Roshal
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
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Cogbill CH, Spears MD, Vantuinen P, Harrington AM, Olteanu H, Kroft SH. Morphologic and cytogenetic variables affect the flow cytometric recovery of plasma cell myeloma cells in bone marrow aspirates. Int J Lab Hematol 2015. [DOI: 10.1111/ijlh.12411] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- C. H. Cogbill
- Department of Pathology; Medical College of Wisconsin; Milwaukee WI USA
| | - M. D. Spears
- Department of Pathology; Medical College of Wisconsin; Milwaukee WI USA
| | - P. Vantuinen
- Department of Pathology; Medical College of Wisconsin; Milwaukee WI USA
| | - A. M. Harrington
- Department of Pathology; Medical College of Wisconsin; Milwaukee WI USA
| | - H. Olteanu
- Department of Pathology; Medical College of Wisconsin; Milwaukee WI USA
| | - S. H. Kroft
- Department of Pathology; Medical College of Wisconsin; Milwaukee WI USA
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