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Venglar O, Kapustova V, Anilkumar Sithara A, Zihala D, Muronova L, Sevcikova T, Vrana J, Vdovin A, Radocha J, Krhovska P, Hrdinka M, Turjap M, Popkova T, Chyra Z, Broskevicova L, Simicek M, Koristek Z, Hajek R, Jelinek T. Insight into the mechanism of CD34 + cell mobilisation impairment in multiple myeloma patients treated with anti-CD38 therapy. Br J Haematol 2024; 204:1439-1449. [PMID: 37807708 DOI: 10.1111/bjh.19141] [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: 08/06/2023] [Revised: 09/22/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023]
Abstract
Induction therapy followed by CD34+ cell mobilisation and autologous transplantation represents standard of care for multiple myeloma (MM). However, the anti-CD38 monoclonal antibodies daratumumab and isatuximab have been associated with mobilisation impairment, yet the mechanism remains unclear. In this study, we investigated the effect of three different regimens (dara-VCd, isa-KRd and VTd) on CD34+ cells using flow cytometry and transcriptomics. Decreased CD34+ cell peak concentration and yields, longer collection and delayed engraftment were reproduced after dara-VCd/isa-KRd versus VTd induction in 34 patients in total. Using flow cytometry, we detected major changes in the proportion of apheresis product and bone marrow CD34+ subsets in patients treated with regimens containing anti-CD38 therapy; however, without any decrease in CD38high B-lymphoid progenitors in both materials. RNA-seq of mobilised CD34+ cells from 21 patients showed that adhesion genes are overexpressed in CD34+ cells after dara-VCd/isa-KRd and JCAD, NRP2, MDK, ITGA3 and CLEC3B were identified as potential target genes. Finally, direct in vitro effect of isatuximab in upregulating JCAD and CLEC3B was confirmed by quantitative PCR. These findings suggest that upregulated adhesion-related interactions, rather than killing of CD34+ cells by effector mechanisms, could be leading causes of decreased mobilisation efficacy in MM patients treated with anti-CD38 therapy.
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Affiliation(s)
- Ondrej Venglar
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Veronika Kapustova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Anjana Anilkumar Sithara
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - David Zihala
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ludmila Muronova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Tereza Sevcikova
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jan Vrana
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Alexander Vdovin
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jakub Radocha
- 4th Department of Internal Medicine - Hematology, Charles University and University Hospital in Hradec Kralove, Hradec Kralove, Czech Republic
| | - Petra Krhovska
- Department of Hematooncology, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Matous Hrdinka
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Michal Turjap
- Clinical Trials Section of Pharmacy, University Hospital Ostrava, Ostrava, Czech Republic
| | - Tereza Popkova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Zuzana Chyra
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Lucie Broskevicova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Michal Simicek
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Zdenek Koristek
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Roman Hajek
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Tomas Jelinek
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
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2
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Fan H, Wang B, Shi L, Pan N, Yan W, Xu J, Gong L, Li L, Liu Y, Du C, Cui J, Zhu G, Deng S, Sui W, Xu Y, Yi S, Hao M, Zou D, Chen X, Qiu L, An G. Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM). Clin Cancer Res 2024; 30:1131-1142. [PMID: 38170583 PMCID: PMC10940853 DOI: 10.1158/1078-0432.ccr-23-2767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/10/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE We investigated both the clinical utilities and the prognostic impacts of the clonotypic peptide mass spectrometry (MS)-EasyM, a blood-based minimal residual disease (MRD) monitoring protocol in multiple myeloma. EXPERIMENTAL DESIGN A total of 447 sequential serum samples from 56 patients with multiple myeloma were analyzed using EasyM. Patient-specific M-protein peptides were sequenced from diagnostic samples; sequential samples were quantified by EasyM to monitor the M-protein. The performance of EasyM was compared with serum immunofixation electrophoresis (IFE), bone marrow multiparameter flow cytometry (MFC), and next-generation flow cytometry (NGF) detection. The optimal balance of EasyM sensitivity/specificity versus NGF (10-5 sensitivity) was determined and the prognostic impact of MS-MRD status was investigated. RESULTS Of the 447 serum samples detected and measured by EasyM, 397, 126, and 92 had time-matching results for comparison with serum IFE, MFC-MRD, and NGF-MRD, respectively. Using a dotp >0.9 as the MS-MRD positive, sensitivity was 99.6% versus IFE and 100.0% versus MFC and NGF. Using an MS negative cutoff informed by ROC analysis (<1.86% of that at diagnosis), EasyM sensitivity remained high versus IFE (88.3%), MFC (85.1%), and NGF (93.2%), whereas specificity increased to 90.4%, 55.8%, and 93.2%, respectively. In the multivariate analysis, older diagnostic age was an independent predictor for progression-free survival [PFS; high risk (HR), 3.15; 1.26-7.86], the best MS-MRD status (MS-MRD negative) was independent predictor for both PFS (HR, 0.25; 0.12-0.52) and overall survival (HR, 0.16; 0.06-0.40). CONCLUSIONS EasyM is a highly sensitive and minimal invasive method of MRD monitoring in multiple myeloma; MS-MRD had significant predictive ability for survival outcomes.
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Affiliation(s)
- Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Bing Wang
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Lihui Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ni Pan
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiequn Chen
- Department of Hematology, Affiliated Hospital of Northwest University, Institute of Hematology, Northwest University, Xian, Shaanxi, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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3
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Seth A, Murray D, Buadi FK, Gertz MA, Yadav U, Kumar SK, Gonsalves WI. Failure of mobilization of hematopoietic stem cells associated with elevated serum levels of anti-CD38 monoclonal antibody. Eur J Haematol 2023; 111:318-321. [PMID: 37209032 PMCID: PMC10524502 DOI: 10.1111/ejh.14008] [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: 12/20/2022] [Revised: 05/08/2023] [Accepted: 05/08/2023] [Indexed: 05/21/2023]
Abstract
Daratumumab is an anti-CD38 antibody that is increasingly incorporated in induction regimens for treating patients with newly diagnosed multiple myeloma (NDMM). Previous reports have demonstrated a lower yield of hematopoietic stem cells (HSCs) after induction with daratumumab; however, none of them reported a failure to collect an adequate number of HSCs. We describe a case of adequate HSC mobilization failure in a patient who inadvertently received excessive doses of daratumumab and was confirmed by higher-than-expected circulating levels of daratumumab by mass spectrometry. Eventual clearance of circulating daratumumab was associated with the successful mobilization and harvesting of HSCs.
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Affiliation(s)
- Abhishek Seth
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
| | - David Murray
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | | | - Morie A. Gertz
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Udit Yadav
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Shaji K. Kumar
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
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4
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Baughn LB, Jessen E, Sharma N, Tang H, Smadbeck JB, Long MD, Pearce K, Smith M, Dasari S, Sachs Z, Linden MA, Cook J, Keith Stewart A, Chesi M, Mitra A, Leif Bergsagel P, Van Ness B, Kumar SK. Mass Cytometry reveals unique phenotypic patterns associated with subclonal diversity and outcomes in multiple myeloma. Blood Cancer J 2023; 13:84. [PMID: 37217482 PMCID: PMC10203138 DOI: 10.1038/s41408-023-00851-5] [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: 11/27/2022] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/24/2023] Open
Abstract
Multiple myeloma (MM) remains an incurable plasma cell (PC) malignancy. Although it is known that MM tumor cells display extensive intratumoral genetic heterogeneity, an integrated map of the tumor proteomic landscape has not been comprehensively evaluated. We evaluated 49 primary tumor samples from newly diagnosed or relapsed/refractory MM patients by mass cytometry (CyTOF) using 34 antibody targets to characterize the integrated landscape of single-cell cell surface and intracellular signaling proteins. We identified 13 phenotypic meta-clusters across all samples. The abundance of each phenotypic meta-cluster was compared to patient age, sex, treatment response, tumor genetic abnormalities and overall survival. Relative abundance of several of these phenotypic meta-clusters were associated with disease subtypes and clinical behavior. Increased abundance of phenotypic meta-cluster 1, characterized by elevated CD45 and reduced BCL-2 expression, was significantly associated with a favorable treatment response and improved overall survival independent of tumor genetic abnormalities or patient demographic variables. We validated this association using an unrelated gene expression dataset. This study represents the first, large-scale, single-cell protein atlas of primary MM tumors and demonstrates that subclonal protein profiling may be an important determinant of clinical behavior and outcome.
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Affiliation(s)
- Linda B Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
| | - Erik Jessen
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Neeraj Sharma
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Hongwei Tang
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - James B Smadbeck
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Mark D Long
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Kathryn Pearce
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Matthew Smith
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Surendra Dasari
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Zohar Sachs
- Division of Hematology, Oncology, and Transplantation, Department of Medicine and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Michael A Linden
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Joselle Cook
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Marta Chesi
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Amit Mitra
- Department of Drug Discovery and Development, Auburn University, Auburn, AL, USA
| | - P Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Brian Van Ness
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, USA
| | - Shaji K Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
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5
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Chiu CY, Mustafayev K, Lee HC, Manasanch EE, Yepez Guevara E, Torres HA. Effect of anti-CD38 monoclonal antibodies on hepatitis C virus replication in chronically infected patients with multiple myeloma: a prospective series. Leuk Lymphoma 2023; 64:900-903. [PMID: 36883878 DOI: 10.1080/10428194.2023.2183731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Affiliation(s)
- Chia-Yu Chiu
- Department of Infectious Diseases, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khalis Mustafayev
- Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hans C Lee
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisabet E Manasanch
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eduardo Yepez Guevara
- Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Harrys A Torres
- Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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6
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Implications and prognostic impact of mass spectrometry in patients with newly-diagnosed multiple myeloma. Blood Cancer J 2023; 13:1. [PMID: 36599831 DOI: 10.1038/s41408-022-00772-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Mass spectrometry (MS) is a promising tool for monitoring monoclonal protein in plasma cell dyscrasias. We included 480 transplant-eligible newly-diagnosed multiple myeloma (MM) patients from the GMMG-MM5 trial (EudraCT No. 2010-019173-16) and performed a retrospective MS analysis at baseline (480 patients) and at the pre-defined, consecutive time points after induction (444 patients), prior to maintenance (305 patients) and after one year of maintenance (227 patients). We found that MS negativity was significantly associated with improved progression-free survival (PFS) even in patients with complete response (CR) at all investigated follow-up time points. The prognostic impact was independent of established risk factors, such as the revised International Staging System. Combining MS and baseline cytogenetics improved the prediction of outcome: MS-positive patients with high-risk cytogenetics had a dismal PFS of 1.9 years (95% confidence interval [CI]: 1.6-2.3 years) from the start of maintenance. Testing the value of sequential MS prior to and after one year of maintenance, patients converting from MS positivity to negativity had an excellent PFS (median not reached) while patients converting from MS negativity to positivity progressed early (median 0.6 years, 95% CI: 0.3-not reached). Among patients with sustained MS positivity, the baseline high-risk cytogenetic status had a significant impact and defined a group with poor PFS. Combining minimal residual disease (MRD) in the bone marrow and MS allowed the identification of double negative patients with a favorable PFS (median 3.33 years, 95% CI: 3.08-not reached) and no overall survival events. Our study provides strong evidence that MS is superior to conventional response monitoring, highlighting the potential of MS to become a new standard. Our data indicate that MS should be performed sequentially and combined with baseline disease features and MRD to improve its clinical value.Clinical Trials Register: EudraCT No. 2010-019173-16.
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7
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Murray DL. Bringing mass spectrometry into the care of patients with multiple myeloma. Int J Hematol 2022; 115:790-798. [PMID: 35471500 DOI: 10.1007/s12185-022-03364-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/19/2022] [Accepted: 04/19/2022] [Indexed: 10/18/2022]
Abstract
Serum protein electrophoresis methods are widely employed to detect, quantify and isotype M-proteins for multiple myeloma patients. Increasing clinical demands to detect residual disease and interferences from new therapeutic monoclonal antibody treatments have stretched electrophoretic methods to their analytical limits. Newer techniques to detect M-proteins using mass spectrometry (MS) are emerging with improved clinical and analytical performance. These techniques are beginning to gain traction within the routine clinical lab testing. This review describes these MS methods with attention to the current and future roles such testing could play in the care of multiple myeloma patients.
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Affiliation(s)
- David L Murray
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St. SW, Rochester, MN, 55906, USA.
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