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Ortiz de Landazuri I, Oliver-Caldés A, Español-Rego M, Agulló C, Contreras MT, Zabaleta A, Puig N, Cabañas V, González-Calle V, Zugasti I, Inogés S, Rodríguez Otero P, Martin-Antonio B, Reguera JL, López-Diaz de Cerio A, Aróstegui JI, Uribe-Herranz M, Benítez-Ribas D, Rodríguez-Lobato LG, González EA, Tovar N, Charry P, Navarro S, Rosiñol L, Tréboles K, Mora G, Yagüe J, Moraleda JM, Urbano-Ispizua Á, Mateos MV, Pascal M, Paiva B, Juan M, Fernández de Larrea C. Serum mass spectrometry for treatment monitoring in patients with multiple myeloma receiving ARI0002h CAR T-cells. Br J Haematol 2024. [PMID: 38894496 DOI: 10.1111/bjh.19589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024]
Abstract
Chimeric antigen receptor (CAR) T-cell therapies have increased the patients with relapsed/refractory multiple myeloma (RRMM) in whom standard electrophoretic techniques fail to detect the M-protein. Quantitative immunoprecipitation mass spectrometry (QIP-MS) can accurately measure serum M-protein with high sensitivity, and identify interferences caused by therapeutic monoclonal antibodies. Here, we investigate the outcome of QIP-MS in 33 patients treated with the academic BCMA-directed CAR T-cell ARI0002h (Cesnicabtagene Autoleucel). QIP-MS offered more detailed insights than serum immunofixation (sIFE), identifying glycosylated M-proteins and minor additional peaks. Moreover, the potential interferences owing to daratumumab or tocilizumab treatments were successfully detected. When analysing different assay platforms during patient's monitoring after ARI0002h administration, we observed that QIP-MS showed a high global concordance (78.8%) with sIFE, whereas it was only moderate (55.6%) with bone marrow (BM)-based next-generation flow cytometry (NGF). Furthermore, QIP-MS consistently demonstrated the lowest negativity rate across the different timepoints (27.3% vs. 60.0% in months 1 and 12, respectively). Patients with QIP-MS(+)/BM-based NGF(-) showed a non-significant shorter median progression free survival than those with QIP-MS(-)/BM-based NGF(-). In summary, we show the first experience to our knowledge demonstrating that QIP-MS could be particularly useful as a non-invasive technique when evaluating response after CAR T-cell treatment in MM.
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Affiliation(s)
- Iñaki Ortiz de Landazuri
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Aina Oliver-Caldés
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Marta Español-Rego
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Cristina Agulló
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Instituto Universitario de Biología Molecular y Celular del Cáncer (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - María Teresa Contreras
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Instituto Universitario de Biología Molecular y Celular del Cáncer (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Aintzane Zabaleta
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | - Noemí Puig
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Instituto Universitario de Biología Molecular y Celular del Cáncer (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Valentín Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Pascual Parrilla), Universidad de Murcia, Murcia, Spain
| | - Verónica González-Calle
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Instituto Universitario de Biología Molecular y Celular del Cáncer (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Inés Zugasti
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Susana Inogés
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | - Paula Rodríguez Otero
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | | | - Juan Luis Reguera
- Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS/CSIC/CIBERONC), Universidad de Sevilla, Sevilla, Spain
| | - Ascensión López-Diaz de Cerio
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | - Juan Ignacio Aróstegui
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Mireia Uribe-Herranz
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Daniel Benítez-Ribas
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Luis Gerardo Rodríguez-Lobato
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Europa Azucena González
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Natalia Tovar
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Paola Charry
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Sergio Navarro
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Laura Rosiñol
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Karen Tréboles
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Génesis Mora
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Jordi Yagüe
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - José María Moraleda
- Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Pascual Parrilla), Universidad de Murcia, Murcia, Spain
| | - Álvaro Urbano-Ispizua
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - María Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Instituto Universitario de Biología Molecular y Celular del Cáncer (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Mariona Pascal
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Bruno Paiva
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | - Manel Juan
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Carlos Fernández de Larrea
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
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2
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Stingl C, VanDuijn MM, Dejoie T, Sillevis Smitt PAE, Luider TM. Improved detection of tryptic immunoglobulin variable region peptides by chromatographic and gas-phase fractionation techniques. CELL REPORTS METHODS 2024; 4:100795. [PMID: 38861989 DOI: 10.1016/j.crmeth.2024.100795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 03/30/2024] [Accepted: 05/20/2024] [Indexed: 06/13/2024]
Abstract
The polyclonal repertoire of circulating antibodies potentially holds valuable information about an individual's humoral immune state. While bottom-up proteomics is well suited for serum proteomics, the vast number of antibodies and dynamic range of serum challenge this analysis. To acquire the serum proteome more comprehensively, we incorporated high-field asymmetric waveform ion-mobility spectrometry (FAIMS) or two-dimensional chromatography into standard trypsin-based bottom-up proteomics. Thereby, the number of variable region (VR)-related spectra increased 1.7-fold with FAIMS and 10-fold with chromatography fractionation. To match antibody VRs to spectra, we combined de novo searching and BLAST alignment. Validation of this approach showed that, as peptide length increased, the de novo accuracy decreased and BLAST performance increased. Through in silico calculations on antibody repository sequences, we determined the uniqueness of tryptic VR peptides and their suitability as antibody surrogate. Approximately one-third of these peptides were unique, and about one-third of all antibodies contained at least one unique peptide.
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Affiliation(s)
- Christoph Stingl
- Clinical and Cancer Proteomics, Department of Neurology, Erasmus MC, 3000 CA Rotterdam, the Netherlands.
| | - Martijn M VanDuijn
- Clinical and Cancer Proteomics, Department of Neurology, Erasmus MC, 3000 CA Rotterdam, the Netherlands
| | - Thomas Dejoie
- Laboratoire de Biochimie, Centre Hospitalier Universitaire (CHU), 44000 Nantes, France
| | - Peter A E Sillevis Smitt
- Clinical and Cancer Proteomics, Department of Neurology, Erasmus MC, 3000 CA Rotterdam, the Netherlands
| | - Theo M Luider
- Clinical and Cancer Proteomics, Department of Neurology, Erasmus MC, 3000 CA Rotterdam, the Netherlands
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Wijnands C, Armony G, Noori S, Gloerich J, Bonifay V, Caillon H, Luider TM, Brehmer S, Pfennig L, Srikumar T, Trede D, Kruppa G, Dejoie T, van Duijn MM, van Gool AJ, Jacobs JFM, Wessels HJCT. An automated workflow based on data independent acquisition for practical and high-throughput personalized assay development and minimal residual disease monitoring in multiple myeloma patients. Clin Chem Lab Med 2024; 0:cclm-2024-0306. [PMID: 38872409 DOI: 10.1515/cclm-2024-0306] [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: 03/07/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024]
Abstract
OBJECTIVES Minimal residual disease (MRD) status in multiple myeloma (MM) is an important prognostic biomarker. Personalized blood-based targeted mass spectrometry detecting M-proteins (MS-MRD) was shown to provide a sensitive and minimally invasive alternative to MRD-assessment in bone marrow. However, MS-MRD still comprises of manual steps that hamper upscaling of MS-MRD testing. Here, we introduce a proof-of-concept for a novel workflow using data independent acquisition-parallel accumulation and serial fragmentation (dia-PASEF) and automated data processing. METHODS Using automated data processing of dia-PASEF measurements, we developed a workflow that identified unique targets from MM patient sera and personalized protein sequence databases. We generated patient-specific libraries linked to dia-PASEF methods and subsequently quantitated and reported M-protein concentrations in MM patient follow-up samples. Assay performance of parallel reaction monitoring (prm)-PASEF and dia-PASEF workflows were compared and we tested mixing patient intake sera for multiplexed target selection. RESULTS No significant differences were observed in lowest detectable concentration, linearity, and slope coefficient when comparing prm-PASEF and dia-PASEF measurements of serial dilutions of patient sera. To improve assay development times, we tested multiplexing patient intake sera for target selection which resulted in the selection of identical clonotypic peptides for both simplex and multiplex dia-PASEF. Furthermore, assay development times improved up to 25× when measuring multiplexed samples for peptide selection compared to simplex. CONCLUSIONS Dia-PASEF technology combined with automated data processing and multiplexed target selection facilitated the development of a faster MS-MRD workflow which benefits upscaling and is an important step towards the clinical implementation of MS-MRD.
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Affiliation(s)
- Charissa Wijnands
- Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gad Armony
- Translational Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Jolein Gloerich
- Translational Metabolic Laboratory, Department of Human Genetics, 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, The Netherlands
| | | | | | | | | | | | - Thomas Dejoie
- Biochemistry Laboratory, Hospital of Nantes, Nantes, France
| | - Martijn M van Duijn
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Alain J van Gool
- Translational Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Joannes F M Jacobs
- Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hans J C T Wessels
- Translational Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
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Derman BA, Fonseca R. Measurable Residual Disease and Decision-Making in Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:477-495. [PMID: 38184470 DOI: 10.1016/j.hoc.2023.12.009] [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] [Indexed: 01/08/2024]
Abstract
Measurable (minimal) residual disease (MRD) has already proven to be one of the most important prognostic factors in multiple myeloma (MM). Each improvement in the depth of MRD testing has led to superior discrimination of outcomes, and sustained MRD negativity seems to be paramount to durable responses. Peripheral blood assays to assess for MRD are still under investigation but hold promise as complementary tools to bone marrow MRD assays such as next-generation sequencing and flow cytometry. Herein, the authors explore the evidence and potential benefits and drawbacks of MRD-adapted clinical decision-making in MM.
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Affiliation(s)
- Benjamin A Derman
- Section of Hematology/Oncology, University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA.
| | - Rafael Fonseca
- Division of Hematology and Medical Oncology, Mayo Clinic in Arizona, 13400 East Shea Boulevard, MCCRB 3-001, Phoenix, AZ 85259, USA
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5
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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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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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Muccio S, Hirtz C, Descloux S, Fedeli O, Macé S, Lehmann S, Vialaret J. A sensitive high-resolution mass spectrometry method for quantifying intact M-protein light chains in patients with multiple myeloma. Clin Chim Acta 2024; 552:117634. [PMID: 37980975 DOI: 10.1016/j.cca.2023.117634] [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: 09/28/2023] [Revised: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 11/21/2023]
Abstract
To determine the disease status and the response to treatment for patients with multiple myeloma, measuring serum M-protein levels is a widely used alternative to invasive punctures to count malignant plasma cells in the bone marrow. However, the quantification of this monoclonal antibody, which varies from patient to patient, poses significant analytical challenges. This paper describes a sensitive and specific mass spectrometry assay that addresses two objectives: to overcome the potential interference of biotherapeutics in the measurement of M-proteins, and to determine the depth of response to treatment by assessing minimal residual disease. After immunocapture of immunoglobulins and free light chains in serum, heavy and light chains were dissociated by chemical reduction and separated by liquid chromatography. M-proteins were analyzed by high-resolution mass spectrometry using a method combining a full MS scan for isotyping and identification and a targeted single ion monitoring scan for quantification. This method was able to discriminate M-protein from the therapeutic antibody in all patient samples analyzed and allowed quantification of M-protein with a LLOQ of 2.0 to 3.5 µg/ml in 5 out of 6 patients. This methodology appears to be promising for assessing minimal residual disease with sufficient sensitivity, specificity, and throughput.
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Affiliation(s)
- Stéphane Muccio
- Sanofi, TMED-BCB, 371 rue du Professeur Blayac, 34184 Montpellier, France.
| | - Christophe Hirtz
- Montpellier Univ, IRMB CHU, INM INSERM, 80 avenue Augustin Fliche, 34295 Montpellier, France
| | - Sandrine Descloux
- Sanofi, TMED-BCB, 371 rue du Professeur Blayac, 34184 Montpellier, France
| | - Olivier Fedeli
- Sanofi, TMED-BCB, 371 rue du Professeur Blayac, 34184 Montpellier, France
| | - Sandrine Macé
- Sanofi, TMED-PMO, 1 avenue Pierre Brossolette, 91385 Chilly-Mazarin, France
| | - Sylvain Lehmann
- Montpellier Univ, IRMB CHU, INM INSERM, 80 avenue Augustin Fliche, 34295 Montpellier, France
| | - Jérôme Vialaret
- Montpellier Univ, IRMB CHU, INM INSERM, 80 avenue Augustin Fliche, 34295 Montpellier, France
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8
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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: 0] [Impact Index Per Article: 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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9
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Peng W, den Boer MA, Tamara S, Mokiem NJ, van der Lans SPA, Bondt A, Schulte D, Haas PJ, Minnema MC, Rooijakkers SHM, van Zuilen AD, Heck AJR, Snijder J. Direct Mass Spectrometry-Based Detection and Antibody Sequencing of Monoclonal Gammopathy of Undetermined Significance from Patient Serum: A Case Study. J Proteome Res 2023; 22:3022-3028. [PMID: 37499263 PMCID: PMC10476240 DOI: 10.1021/acs.jproteome.3c00330] [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: 06/04/2023] [Indexed: 07/29/2023]
Abstract
Monoclonal gammopathy of undetermined significance (MGUS) is a plasma cell disorder characterized by the presence of a predominant monoclonal antibody (i.e., M-protein) in serum, without clinical symptoms. Here we present a case study in which we detect MGUS by liquid-chromatography coupled with mass spectrometry (LC-MS) profiling of IgG1 in human serum. We detected a Fab-glycosylated M-protein and determined the full heavy and light chain sequences by bottom-up proteomics techniques using multiple proteases, further validated by top-down LC-MS. Moreover, the composition and location of the Fab-glycan could be determined in CDR1 of the heavy chain. The outlined approach adds to an expanding mass spectrometry-based toolkit to characterize monoclonal gammopathies such as MGUS and multiple myeloma, with fine molecular detail. The ability to detect monoclonal gammopathies and determine M-protein sequences straight from blood samples by mass spectrometry provides new opportunities to understand the molecular mechanisms of such diseases.
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Affiliation(s)
- Weiwei Peng
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Maurits A. den Boer
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Sem Tamara
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Nadia J. Mokiem
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Sjors P. A. van der Lans
- Medical
Microbiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands
| | - Albert Bondt
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Douwe Schulte
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Pieter-Jan Haas
- Medical
Microbiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands
| | - Monique C. Minnema
- Department
of Hematology, University Medical Center
Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands
| | - Suzan H. M. Rooijakkers
- Medical
Microbiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands
| | - Arjan D. van Zuilen
- Department
of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands
| | - Albert J. R. Heck
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Joost Snijder
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular
Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
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Agarwal M, Vijayaraghavan M, Muthuvel B, Narayanasamy A. Biochemical Analysis of Aqueous Humor in an Elderly Patient with Multiple Myeloma Presenting First as Bilateral Chronic Uveitis. Ocul Immunol Inflamm 2023:1-5. [PMID: 37429027 DOI: 10.1080/09273948.2023.2229416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/20/2023] [Accepted: 06/20/2023] [Indexed: 07/12/2023]
Abstract
PURPOSE To study the biochemical analysis of aqueous humor in a patient with multiple myeloma presenting first as chronic uveitis. METHODS Observational case report. RESULTS A 63-year-old healthy woman presented with blurred vision in both eyes for 9 months. Slit-lamp examination showed bilateral conjunctival congestion, corneal oedema, and anterior uveitis. Fundus exam revealed normal optic disc with fine retinal folds in the macula. Serum protein electrophoretogram showed a monoclonal M protein band in the gamma globulin region. The bone marrow biopsy revealed hypercellular marrow with trilineage haematopoiesis and the bone marrow aspirate showed clonal plasma cells >10%, confirming the diagnosis of multiple myeloma. Aqueous fluid showed a differential band in electrophoretic profile of aqueous humor protein that on mass spectrometry analysis was strongly suggestive of immunoglobulin band. CONCLUSION The biochemical analysis of aqueous humor is another diagnostic test to monitor M protein in patients with multiple myeloma.
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Affiliation(s)
- Mamta Agarwal
- Uveitis & Cornea Services, Medical Research Foundation, Sankara Nethralaya, Chennai, India
| | | | - Bharathselvi Muthuvel
- RS Mehta Jain Department of Biochemistry, Vision Research Foundation, Chennai, India
| | - Angayarkanni Narayanasamy
- Biochemisty Department, Sri Nathella Sampathu Chetty Clinical Laboratory, Sankara Nethralaya, Medical Research Foundation, Chennai, India
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11
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Retrospective Longitudinal Monitoring of Multiple Myeloma Patients by Mass Spectrometry Using Archived Serum Protein Electrophoresis Gels and De Novo Sequence Analysis. Hemasphere 2022; 6:e758. [PMID: 35935609 PMCID: PMC9348860 DOI: 10.1097/hs9.0000000000000758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/03/2022] [Indexed: 11/26/2022] Open
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