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Langerhorst P, Baerenfaenger M, Kulkarni P, Nadal S, Wijnands C, Post MA, Noori S, vanDuijn MM, Joosten I, Dejoie T, van Gool AJ, Gloerich J, Lefeber DJ, Wessels HJCT, Jacobs JFM. N-linked glycosylation of the M-protein variable region: glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma. Clin Chem Lab Med 2024; 62:1626-1635. [PMID: 38332688 DOI: 10.1515/cclm-2023-1189] [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: 10/24/2023] [Accepted: 01/28/2024] [Indexed: 02/10/2024]
Abstract
OBJECTIVES Multiple myeloma (MM) is a plasma cell malignancy characterized by a monoclonal expansion of plasma cells that secrete a characteristic M-protein. This M-protein is crucial for diagnosis and monitoring of MM in the blood of patients. Recent evidence has emerged suggesting that N-glycosylation of the M-protein variable (Fab) region contributes to M-protein pathogenicity, and that it is a risk factor for disease progression of plasma cell disorders. Current methodologies lack the specificity to provide a site-specific glycoprofile of the Fab regions of M-proteins. Here, we introduce a novel glycoproteogenomics method that allows detailed M-protein glycoprofiling by integrating patient specific Fab region sequences (genomics) with glycoprofiling by glycoproteomics. METHODS Glycoproteogenomics was used for the detailed analysis of de novo N-glycosylation sites of M-proteins. First, Genomic analysis of the M-protein variable region was used to identify de novo N-glycosylation sites. Subsequently glycopeptide analysis with LC-MS/MS was used for detailed analysis of the M-protein glycan sites. RESULTS Genomic analysis uncovered a more than two-fold increase in the Fab Light Chain N-glycosylation of M-proteins of patients with Multiple Myeloma compared to Fab Light Chain N-glycosylation of polyclonal antibodies from healthy individuals. Subsequent glycoproteogenomics analysis of 41 patients enrolled in the IFM 2009 clinical trial revealed that the majority of the Fab N-glycosylation sites were fully occupied with complex type glycans, distinguishable from Fc region glycans due to high levels of sialylation, fucosylation and bisecting structures. CONCLUSIONS Together, glycoproteogenomics is a powerful tool to study de novo Fab N-glycosylation in plasma cell dyscrasias.
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Affiliation(s)
- Pieter Langerhorst
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Melissa Baerenfaenger
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
- Division of BioAnalytical Chemistry, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Purva Kulkarni
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Simon Nadal
- CY Cergy Paris Université, CNRS, BioCIS, Cergy-Pontoise, France
| | - Charissa Wijnands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Merel A Post
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Martijn M vanDuijn
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Irma Joosten
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Dejoie
- Biochemistry Laboratory, Centre Hospitalier Universitaire (CHU), Nantes, France
| | - Alain J van Gool
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jolein Gloerich
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dirk J Lefeber
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hans J C T Wessels
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Joannes F M Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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Giles HV, Karunanithi K. Performance Characteristics and Limitations of the Available Assays for the Detection and Quantitation of Monoclonal Free Light Chains and New Emerging Methodologies. Antibodies (Basel) 2024; 13:19. [PMID: 38534209 DOI: 10.3390/antib13010019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/26/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024] Open
Abstract
Light chain measurements form an essential component of the testing strategy for the detection and monitoring of patients with suspected and/or proven plasma cell disorders. Urine-based electrophoretic assays remain at the centre of the international guidelines for response assessment but the supplementary role of serum-free light chain (FLC) assays in response assessment and the detection of disease progression due to their increased sensitivity has been increasingly recognised since their introduction in 2001. Serum FLC assays have also been shown to be prognostic across the spectrum of plasma cell disorders and are now incorporated into risk stratification scores for patients with monoclonal gammopathy of undetermined significance (MGUS), smouldering multiple myeloma, and light chain amyloidosis (AL amyloidosis), as well as being incorporated into the criteria for defining symptomatic multiple myeloma. There are now multiple different commercially available serum FLC assays available with differing performance characteristics, which are discussed in this review, along with the implications of these for patient monitoring. Finally, newer methodologies for the identification and characterisation of monoclonal FLC, including modifications to electrophoretic techniques, mass spectrometry-based assays and Amylite, are also described along with the relevant published data available regarding the performance of each assay.
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Affiliation(s)
- Hannah V Giles
- Department of Clinical Haematology, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2SY, UK
- Instute of Immunology and Immunotherapy, University of Birmingham, Birmingham B15 2TT, UK
| | - Kamaraj Karunanithi
- Department of Clinical Haematology, University Hospitals North Midlands NHS Trust, Royal Stoke Hospital, Newcastle Road, Stoke-on-Trent ST4 6QG, UK
- School of Medicine, Keele University, Keele, Newcastle-under-Lyme ST5 5BG, UK
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3
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Wijnands C, Langerhorst P, Noori S, Keizer-Garritsen J, Wessels HJ, Gloerich J, Bonifay V, Caillon H, Luider TM, van Gool AJ, Dejoie T, VanDuijn MM, Jacobs JF. M-protein diagnostics in multiple myeloma patients using ultra-sensitive targeted mass spectrometry and an off-the-shelf calibrator. Clin Chem Lab Med 2024; 62:540-550. [PMID: 37823394 PMCID: PMC10808047 DOI: 10.1515/cclm-2023-0781] [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: 07/24/2023] [Accepted: 10/02/2023] [Indexed: 10/13/2023]
Abstract
OBJECTIVES Minimal residual disease status in multiple myeloma is an important prognostic biomarker. Recently, personalized blood-based targeted mass spectrometry (MS-MRD) was shown to provide a sensitive and minimally invasive alternative to measure minimal residual disease. However, quantification of MS-MRD requires a unique calibrator for each patient. The use of patient-specific stable isotope labelled (SIL) peptides is relatively costly and time-consuming, thus hindering clinical implementation. Here, we introduce a simplification of MS-MRD by using an off-the-shelf calibrator. METHODS SILuMAB-based MS-MRD was performed by spiking a monoclonal stable isotope labeled IgG, SILuMAB-K1, in the patient serum. The abundance of both M-protein-specific peptides and SILuMAB-specific peptides were monitored by mass spectrometry. The relative ratio between M-protein peptides and SILuMAB peptides allowed for M-protein quantification. We assessed linearity, sensitivity and reproducibility of SILuMAB-based MS-MRD in longitudinally collected sera from the IFM-2009 clinical trial. RESULTS A linear dynamic range was achieved of over 5 log scales, allowing for M-protein quantification down to 0.001 g/L. The inter-assay CV of SILuMAB-based MS-MRD was on average 11 %. Excellent concordance between SIL- and SILuMAB-based MS-MRD was shown (R2>0.985). Additionally, signal intensity of spiked SILuMAB can be used for quality control purpose to assess system performance and incomplete SILuMAB digestion can be used as quality control for sample preparation. CONCLUSIONS Compared to SIL peptides, SILuMAB-based MS-MRD improves the reproducibility, turn-around-times and cost-efficacy of MS-MRD without diminishing its sensitivity and specificity. Furthermore, SILuMAB can be used as a MS-MRD quality control tool to monitor sample preparation efficacy and assay performance.
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Affiliation(s)
- Charissa Wijnands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Pieter Langerhorst
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Hans J.C.T. Wessels
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jolein Gloerich
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Hélène Caillon
- Biochemistry Laboratory, Hospital of Nantes, Nantes, France
| | - Theo M. Luider
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alain J. van Gool
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Dejoie
- Biochemistry Laboratory, Hospital of Nantes, Nantes, France
| | - Martijn M. VanDuijn
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joannes F.M. Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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4
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Guan L, Su W, Zhong J, Qiu L. M-protein detection by mass spectrometry for minimal residual disease in multiple myeloma. Clin Chim Acta 2024; 552:117623. [PMID: 37924928 DOI: 10.1016/j.cca.2023.117623] [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: 08/07/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
Multiple myeloma (MM) is characterized by excessive production of monoclonal immunoglobulins (M proteins). Routine screening methods for M proteins to assess prognosis are unable to detect low levels of M proteins produced by residual tumor cells, ie, minimal residual disease (MRD). Assessment of MRD can be conducted by examining residual tumor cells in bone marrow or circulating M proteins. Advances in mass spectrometry have enabled reliable and highly sensitive detection of low abundance serum biomarkers making it a viable and significantly less invasive approach. Mass spectrometry can achieve dynamic monitoring of MRD and identify therapeutic monoclonal antibodies as well as oligoclonal proteins. In this review we summarize mass spectrometry methods in M protein detection and their applications of MRD detection in MM.
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Affiliation(s)
- Lihua Guan
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, PR China
| | - Wei Su
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, PR China
| | - Jian Zhong
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, PR China
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, PR China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, PR China.
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5
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Wijnands C, Noori S, Donk NWCJVD, VanDuijn MM, Jacobs JFM. Advances in minimal residual disease monitoring in multiple myeloma. Crit Rev Clin Lab Sci 2023; 60:518-534. [PMID: 37232394 DOI: 10.1080/10408363.2023.2209652] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 05/27/2023]
Abstract
Multiple myeloma (MM) is characterized by the clonal expansion of plasma cells and the excretion of a monoclonal immunoglobulin (M-protein), or fragments thereof. This biomarker plays a key role in the diagnosis and monitoring of MM. Although there is currently no cure for MM, novel treatment modalities such as bispecific antibodies and CAR T-cell therapies have led to substantial improvement in survival. With the introduction of several classes of effective drugs, an increasing percentage of patients achieve a complete response. This poses new challenges to traditional electrophoretic and immunochemical M-protein diagnostics because these methods lack sensitivity to monitor minimal residual disease (MRD). In 2016, the International Myeloma Working Group (IMWG) expanded their disease response criteria with bone marrow-based MRD assessment using flow cytometry or next-generation sequencing in combination with imaging-based disease monitoring of extramedullary disease. MRD status is an important independent prognostic marker and its potential as a surrogate endpoint for progression-free survival is currently being studied. In addition, numerous clinical trials are investigating the added clinical value of MRD-guided therapy decisions in individual patients. Because of these novel clinical applications, repeated MRD evaluation is becoming common practice in clinical trials as well as in the management of patients outside clinical trials. In response to this, novel mass spectrometric methods that have been developed for blood-based MRD monitoring represent attractive minimally invasive alternatives to bone marrow-based MRD evaluation. This paves the way for dynamic MRD monitoring to allow the detection of early disease relapse, which may prove to be a crucial factor in facilitating future clinical implementation of MRD-guided therapy. This review provides an overview of state-of-the-art of MRD monitoring, describes new developments and applications of blood-based MRD monitoring, and suggests future directions for its successful integration into the clinical management of MM patients.
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Affiliation(s)
- Charissa Wijnands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | | | - Martijn M VanDuijn
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Joannes F M Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
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6
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Kubicki T, Derman BA, Dytfeld D, Jakubowiak AJ. Measurable residual disease in peripheral blood in myeloma: dream or reality. Curr Opin Oncol 2023; 35:574-580. [PMID: 37621165 DOI: 10.1097/cco.0000000000000987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
PURPOSE OF REVIEW Therapeutic advancements in multiple myeloma have led to increasingly deeper and more durable responses, creating a need for highly sensitive and applicable techniques for measurable residual disease (MRD) assessment. Bone marrow assays can deeply assess for MRD, but it is not conducive to performing frequent and dynamic evaluations, which may be needed for MRD-adapted treatment approaches. Recently, numerous techniques for MRD assessment in peripheral blood have come under investigation, and their integration into routine clinical practice is eagerly anticipated. RECENT FINDINGS The identification of circulating tumor cells (CTCs), evaluation of cell-free DNA, and measuring monoclonal protein concentration with mass spectrometry are promising research areas for assessing myeloma in peripheral blood. CTCs assessment and cell-free DNA may carry prognostic significance, but they lack the sensitivity of bone marrow-based techniques. Mass spectrometry has already been implemented in clinical practice in certain centers, but its full potential has yet to be fully realized. This review focuses on recent developments in these fields, emphasizing the potential future roles of these assessments. SUMMARY MRD assessment in peripheral blood is still in the development stage but holds promise for not only complementing bone marrow based evaluations but also potential for improving sensitivity.
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7
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Marx A, Osváth M, Szikora B, Pipek O, Csabai I, Nagy Á, Bödör C, Matula Z, Nagy G, Bors A, Uher F, Mikala G, Vályi-Nagy I, Kacskovics I. Liquid biopsy-based monitoring of residual disease in multiple myeloma by analysis of the rearranged immunoglobulin genes-A feasibility study. PLoS One 2023; 18:e0285696. [PMID: 37235573 DOI: 10.1371/journal.pone.0285696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
The need for sensitive monitoring of minimal/measurable residual disease (MRD) in multiple myeloma emerged as novel therapies led to deeper responses. Moreover, the potential benefits of blood-based analyses, the so-called liquid biopsy is prompting more and more studies to assess its feasibility. Considering these recent demands, we aimed to optimize a highly sensitive molecular system based on the rearranged immunoglobulin (Ig) genes to monitor MRD from peripheral blood. We analyzed a small group of myeloma patients with the high-risk t(4;14) translocation, using next-generation sequencing of Ig genes and droplet digital PCR of patient-specific Ig heavy chain (IgH) sequences. Moreover, well established monitoring methods such as multiparametric flow cytometry and RT-qPCR of the fusion transcript IgH::MMSET (IgH and multiple myeloma SET domain-containing protein) were utilized to evaluate the feasibility of these novel molecular tools. Serum measurements of M-protein and free light chains together with the clinical assessment by the treating physician served as routine clinical data. We found significant correlation between our molecular data and clinical parameters, using Spearman correlations. While the comparisons of the Ig-based methods and the other monitoring methods (flow cytometry, qPCR) were not statistically evaluable, we found common trends in their target detection. Regarding longitudinal disease monitoring, the applied methods yielded complementary information thus increasing the reliability of MRD evaluation. We also detected indications of early relapse before clinical signs, although this implication needs further verification in a larger patient cohort.
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Affiliation(s)
- Anita Marx
- Department of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
- Doctoral School of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Magdolna Osváth
- Department of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
- Doctoral School of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Bence Szikora
- Department of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Orsolya Pipek
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary
| | - István Csabai
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Ákos Nagy
- Department of Pathology and Experimental Cancer Research, HCEMM-SE Molecular Oncohematology Research Group, Semmelweis University, Budapest, Hungary
| | - Csaba Bödör
- Department of Pathology and Experimental Cancer Research, HCEMM-SE Molecular Oncohematology Research Group, Semmelweis University, Budapest, Hungary
| | - Zsolt Matula
- National Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary
| | - Ginette Nagy
- National Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary
| | - András Bors
- National Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary
| | - Ferenc Uher
- National Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary
| | - Gábor Mikala
- National Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary
| | - István Vályi-Nagy
- National Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary
| | - Imre Kacskovics
- Department of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
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8
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Nau A, Shen Y, Sanchorawala V, Prokaeva T, Morgan GJ. Complete variable domain sequences of monoclonal antibody light chains identified from untargeted RNA sequencing data. Front Immunol 2023; 14:1167235. [PMID: 37143670 PMCID: PMC10151772 DOI: 10.3389/fimmu.2023.1167235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/31/2023] [Indexed: 05/06/2023] Open
Abstract
Introduction Monoclonal antibody light chain proteins secreted by clonal plasma cells cause tissue damage due to amyloid deposition and other mechanisms. The unique protein sequence associated with each case contributes to the diversity of clinical features observed in patients. Extensive work has characterized many light chains associated with multiple myeloma, light chain amyloidosis and other disorders, which we have collected in the publicly accessible database, AL-Base. However, light chain sequence diversity makes it difficult to determine the contribution of specific amino acid changes to pathology. Sequences of light chains associated with multiple myeloma provide a useful comparison to study mechanisms of light chain aggregation, but relatively few monoclonal sequences have been determined. Therefore, we sought to identify complete light chain sequences from existing high throughput sequencing data. Methods We developed a computational approach using the MiXCR suite of tools to extract complete rearranged IGVL-IGJL sequences from untargeted RNA sequencing data. This method was applied to whole-transcriptome RNA sequencing data from 766 newly diagnosed patients in the Multiple Myeloma Research Foundation CoMMpass study. Results Monoclonal IGVL-IGJL sequences were defined as those where >50% of assigned IGK or IGL reads from each sample mapped to a unique sequence. Clonal light chain sequences were identified in 705/766 samples from the CoMMpass study. Of these, 685 sequences covered the complete IGVL-IGJL region. The identity of the assigned sequences is consistent with their associated clinical data and with partial sequences previously determined from the same cohort of samples. Sequences have been deposited in AL-Base. Discussion Our method allows routine identification of clonal antibody sequences from RNA sequencing data collected for gene expression studies. The sequences identified represent, to our knowledge, the largest collection of multiple myeloma-associated light chains reported to date. This work substantially increases the number of monoclonal light chains known to be associated with non-amyloid plasma cell disorders and will facilitate studies of light chain pathology.
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Affiliation(s)
- Allison Nau
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Yun Shen
- Research Computing Services, Boston University, Boston, MA, United States
| | - Vaishali Sanchorawala
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Section of Hematology and Medical Oncology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Tatiana Prokaeva
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Gareth J. Morgan
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Section of Hematology and Medical Oncology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
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9
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Giles HV, Wechalekar A, Pratt G. The potential role of mass spectrometry for the identification and monitoring of patients with plasma cell disorders: Where are we now and which questions remain unanswered? Br J Haematol 2022; 198:641-653. [PMID: 35514140 DOI: 10.1111/bjh.18226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/08/2022] [Accepted: 04/20/2022] [Indexed: 11/28/2022]
Abstract
Mass spectrometry (MS) techniques provide a highly sensitive methodology for the assessment and monitoring of paraproteins compared to standard electrophoretic techniques. The International Myeloma Working Group (IMWG) recently approved the use of intact light chain matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) in lieu of immunofixation in the clinical assessment of patients and the assessment of patients enrolled on clinical trials. The increased sensitivity of these assays may help to detect and monitor monoclonal proteins (MP) in many patients with previously non-measurable disease, will reduce complete response (CR) rates and increase detection of low-level MP. The ability to track the unique mass or amino acid sequence of the MP also eliminates interference from therapeutic monoclonal antibodies (tmAbs) in most patients with IgG kappa myeloma. The intact light chain assays also provide structural information about the monoclonal light chain, including the presence of N-linked glycosylation, which has been shown to be commoner on amyloidogenic light chains and may have prognostic significance in monoclonal gammopathy of undetermined significance (MGUS). In this review, we discuss these issues alongside differences in the analytical and practical aspects related to the different MS assays under development and the challenges for MS.
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Affiliation(s)
- Hannah V Giles
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,University of Birmingham, Birmingham, UK
| | - Ashutosh Wechalekar
- Royal Free London NHS Foundation Trust, London, UK.,University College London, London, UK
| | - Guy Pratt
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,University of Birmingham, Birmingham, UK
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10
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Langerhorst P, Noori S, Zajec M, De Rijke YB, Gloerich J, van Gool AJ, Caillon H, Joosten I, Luider TM, Corre J, VanDuijn MM, Dejoie T, Jacobs JFM. Multiple Myeloma Minimal Residual Disease Detection: Targeted Mass Spectrometry in Blood vs Next-Generation Sequencing in Bone Marrow. Clin Chem 2021; 67:1689-1698. [PMID: 34643690 DOI: 10.1093/clinchem/hvab187] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 08/18/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND Minimal residual disease (MRD) status assessed on bone marrow aspirates is a major prognostic biomarker in multiple myeloma (MM). In this study we evaluated blood-based targeted mass spectrometry (MS-MRD) as a sensitive, minimally invasive alternative to measure MM disease activity. METHODS Therapy response of 41 MM patients in the IFM-2009 clinical trial (NCT01191060) was assessed with MS-MRD on frozen sera and compared to routine state-of-the-art monoclonal protein (M-protein) diagnostics and next-generation sequencing (NGS-MRD) at 2 time points. RESULTS In all 41 patients we were able to identify clonotypic M-protein-specific peptides and perform serum-based MS-MRD measurements. MS-MRD is significantly more sensitive to detect M-protein compared to either electrophoretic M-protein diagnostics or serum free light chain analysis. The concordance between NGS-MRD and MS-MRD status in 81 paired bone marrow/sera samples was 79%. The 50% progression-free survival (PFS) was identical (49 months) for patients who were either NGS-positive or MS-positive directly after maintenance treatment. The 50% PFS was 69 and 89 months for NGS-negative and MS-negative patients, respectively. The longest 50% PFS (96 months) was observed in patients who were MRD-negative for both methods. MS-MRD relapse during maintenance treatment was significantly correlated to poor PFS (P < 0.0001). CONCLUSIONS Our data indicate proof-of-principle that MS-MRD evaluation in blood is a feasible, patient friendly alternative to NGS-MRD assessed on bone marrow. Clinical validation of the prognostic value of MS-MRD and its complementary value in MRD-evaluation of patients with MM is warranted in an independent larger cohort.
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Affiliation(s)
- Pieter Langerhorst
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marina Zajec
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yolanda B De Rijke
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jolein Gloerich
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alain J van Gool
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Hélène Caillon
- Laboratoire de Biochimie, Centre Hospitalier Universitaire (CHU), Nantes, France
| | - Irma Joosten
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Theo M Luider
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jill Corre
- Unité de Génomique du Myélome, Institute Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | - Martijn M VanDuijn
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Thomas Dejoie
- Laboratoire de Biochimie, Centre Hospitalier Universitaire (CHU), Nantes, France
| | - Joannes F M Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
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Noori S, Verkleij CPM, Zajec M, Langerhorst P, Bosman PWC, de Rijke YB, Zweegman S, VanDuijn M, Luider T, van de Donk NWCJ, Jacobs JFM. Monitoring the M-protein of multiple myeloma patients treated with a combination of monoclonal antibodies: the laboratory solution to eliminate interference. Clin Chem Lab Med 2021; 59:1963-1971. [PMID: 34392637 DOI: 10.1515/cclm-2021-0399] [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: 04/01/2021] [Accepted: 08/08/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVES The therapeutic monoclonal antibody (t-mAb) daratumumab, used to treat multiple myeloma (MM) patients, interferes with routine, electrophoretic based M-protein diagnostics. Electrophoretic response assessment becomes increasingly difficult when multiple t-mAbs are combined for use in a single patient. This is the first study to address the analytical challenges of M-protein monitoring when multiple t-mAbs are combined. METHODS In this proof-of-principle study we evaluate two different methods to monitor M-protein responses in three MM patients, who receive both daratumumab and nivolumab. The double hydrashift assay aims to resolve t-mAb interference on immunofixation. The MS-MRD (mass spectrometry minimal residual disease) assay measures clonotypic peptides to quantitate both M-protein and t-mAb concentrations. RESULTS After exposure to daratumumab and nivolumab, both t-mAbs become visible on immunofixation electrophoresis (IFE) as two IgG-kappa bands that migrate close to each other at the cathodal end of the γ-region. In case the M-protein co-migrates with these t-mAbs, the observed interference was completely abolished with the double IFE hydrashift assay. In all three patients the MS-MRD assay was also able to distinguish the M-protein from the t-mAbs. Additional advantage of the MS-MRD assay is that this multiplex assay is more sensitive and allows quantitative M-protein-, daratumumab- and nivolumab-monitoring. CONCLUSIONS Daratumumab and nivolumab interfere with electrophoretic M-protein diagnostics. However, the M-protein can be distinguished from both t-mAbs by use of a double hydrashift assay. The MS-MRD assay provides an alternative method that allows sensitive and simultaneous quantitative monitoring of both the M-protein and t-mAbs.
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Affiliation(s)
- Somayya Noori
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Christie P M Verkleij
- Department of Hematology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marina Zajec
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pieter Langerhorst
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Patricia W C Bosman
- Department of Hematology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yolanda B de Rijke
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sonja Zweegman
- Department of Hematology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Martijn VanDuijn
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Theo Luider
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Niels W C J van de Donk
- Department of Hematology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joannes F M Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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