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Lee DJ, El-Khoury H, Tramontano AC, Alberge JB, Perry J, Davis MI, Horowitz E, Redd R, Sakrikar D, Barnidge D, Perkins MC, Harding S, Mucci L, Rebbeck TR, Ghobrial IM, Marinac CR. Mass spectrometry-detected MGUS is associated with obesity and other novel modifiable risk factors in a high-risk population. Blood Adv 2024; 8:1737-1746. [PMID: 38212245 PMCID: PMC10997907 DOI: 10.1182/bloodadvances.2023010843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 10/31/2023] [Accepted: 11/11/2023] [Indexed: 01/13/2024] Open
Abstract
ABSTRACT Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant condition of multiple myeloma with few known risk factors. The emergence of mass spectrometry (MS) for the detection of MGUS has provided new opportunities to evaluate its risk factors. In total, 2628 individuals at elevated risk for multiple myeloma were enrolled in a screening study and completed an exposure survey (PROMISE trial). Participant samples were screened by MS, and monoclonal proteins (M-proteins) with concentrations of ≥0.2 g/L were categorized as MS-MGUS. Multivariable logistic models evaluated associations between exposures and MS outcomes. Compared with normal weight (body mass index [BMI] of 18.5 to <25 kg/m2), obesity (BMI of ≥30 kg/m2) was associated with MS-MGUS, adjusting for age, sex, Black race, education, and income (odds ratio [OR], 1.73; 95% confidence interval [CI], 1.21-2.47; P = .003). High physical activity (≥73.5 metabolic equivalent of task (MET)-hours per week vs <10.5 MET-hours per week) had a decreased likelihood of MS-MGUS (OR, 0.45, 95% CI, 0.24-0.80; P = .009), whereas heavy smoking and short sleep had increased likelihood of MS-MGUS (>30 pack-years vs never smoker: OR, 2.19; 95% CI, 1.24-3.74; P = .005, and sleep <6 vs ≥6 hours per day: OR, 2.11; 95% CI, 1.26-3.42; P = .003). In the analysis of all MS-detected monoclonal gammopathies, which are inclusive of M-proteins with concentrations of <0.2 g/L, elevated BMI and smoking were associated with all MS-positive cases. Findings suggest MS-detected monoclonal gammopathies are associated with a broader range of modifiable risk factors than what has been previously identified. This trial was registered at www.clinicaltrials.gov as #NCT03689595.
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Affiliation(s)
- David J. Lee
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Habib El-Khoury
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Jean-Baptiste Alberge
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Jacqueline Perry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Maya I. Davis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Erica Horowitz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Robert Redd
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | - Lorelei Mucci
- Harvard T.H. Chan School of Public Health, Boston, MA
| | - Timothy R. Rebbeck
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA
- Harvard T.H. Chan School of Public Health, Boston, MA
| | - Irene M. Ghobrial
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
| | - Catherine R. Marinac
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
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Barnidge D, Troske D, North S, Wallis G, Perkins M, Harding S. Endogenous monoclonal immunoglobulins analyzed using the EXENT® solution and LC-MS. J Mass Spectrom Adv Clin Lab 2024; 32:31-40. [PMID: 38405412 PMCID: PMC10891330 DOI: 10.1016/j.jmsacl.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/27/2024] Open
Abstract
Introduction The EXENT® Solution, a fully automated system, is a recent advancement for identifying and quantifying monoclonal immunoglobulins in serum. It combines immunoprecipitation with MALDI-TOF mass spectrometry. Compared to gel-based methods, like SPEP and IFE, it has demonstrated the ability to detect monoclonal immunoglobulins in serum at lower levels. In this study, samples that tested negative using EXENT® were reflexed to LC-MS to determine if the more sensitive LC-MS method could identify monoclonal immunoglobulins missed by EXENT®. Objectives To assess whether monoclonal immunoglobulins that are not detected by EXENT® can be detected by LC-MS using a low flow LC system coupled to a Q-TOF mass spectrometer. Methods Samples obtained from patients confirmed to have multiple myeloma (MM) were diluted with pooled polyclonal human serum and analyzed using EXENT®. If a specific monoclonal immunoglobulin was not detected by EXENT®, the sample was then subjected to analysis by LC-MS. For the LC-MS analysis, the sample eluate, obtained after the MALDI-TOF MS spotting step, was collected and transferred to an autosampler tray for subsequent analysis using LC-MS. Conclusion LC-MS has the capability to detect monoclonal immunoglobulins that are no longer detected by EXENT®. Reflexing samples to LC-MS for analysis does not involve additional sample handling, allowing for a faster time-to-result compared to current approaches, such as Next-Generation Sequencing, Next-Generation Flow, and clonotypic peptide methods. Notably, LC-MS offers equivalent sensitivity in detecting these specific monoclonal immunoglobulins.
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Affiliation(s)
- David Barnidge
- The Binding Site, Part of ThermoFisher Scientific Research and Development Laboratory, 3777 40th Ave NW, Rochester, MN 55906, United States
| | - Derek Troske
- The Binding Site, Part of ThermoFisher Scientific Research and Development Laboratory, 3777 40th Ave NW, Rochester, MN 55906, United States
| | - Simon North
- The Binding Site, Part of ThermoFisher Scientific, The Binding Site Group Ltd, 8 Calthorpe Road Edgbaston, Birmingham, UK
| | - Gregg Wallis
- The Binding Site, Part of ThermoFisher Scientific, The Binding Site Group Ltd, 8 Calthorpe Road Edgbaston, Birmingham, UK
| | - Mark Perkins
- The Binding Site, Part of ThermoFisher Scientific, The Binding Site Group Ltd, 8 Calthorpe Road Edgbaston, Birmingham, UK
| | - Stephen Harding
- The Binding Site, Part of ThermoFisher Scientific, The Binding Site Group Ltd, 8 Calthorpe Road Edgbaston, Birmingham, UK
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Lee DJ, El-Khoury H, Alberge JB, Sakrikar D, Barnidge D, Perkins MC, Harding S, Perry J, Davis MI, Amstutz J, Horowitz E, Rebbeck TR, Ghobrial IM, Marinac CR. Abstract 3651: Obesity, metabolic comorbidities, and lifestyle factors and their association with monoclonal gammopathies in a high-risk screened population: Results of the PROMISE study. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant condition of multiple myeloma (MM) traditionally identified by serum protein electrophoresis (SPEP) and immunofixation (IFX). Recently, novel, ultra-sensitive mass spectrometry (MS)-based approaches have allowed for monoclonal (M)-protein detection at concentrations below SPEP levels.
MGUS has only few known risk factors implicated in its development and progression. Thus, we analyze MS results of the PROMISE nationwide U.S. screening study to evaluate risk factors for (1) MGUS at traditional SPEP/IFX levels of detection and (2) low-level monoclonal gammopathies, which bear uncertain etiology and clinical significance.
Methods: PROMISE enrolled individuals age ≥40 who are Black and/or have a first-degree relative with a blood cancer or MM precursor condition. Those with ≥2 first-degree relatives were eligible at age ≥18. Participants were screened for monoclonal gammopathy by MALDI-TOF MS and provided a survey querying metabolic comorbidities and lifestyle. M-protein concentrations ≥0.02 g/dL were considered traditionally-defined MGUS, whereas M-proteins <0.02 g/dL are hereafter referred to as monoclonal gammopathy of indeterminate potential (MGIP). Multivariable logistic regression models estimated odds ratios (OR) and 95% confidence intervals (CI) for exposure and MGUS/MGIP associations.
Results: 1,893 screened participants completed the survey. MGUS and MGIP were detected in 13.4% and 22.0% of Blacks and 8.6% and 26.7% of individuals with family history. Adjusting for sex, age at screening, income, and education, obesity or BMI of ≥30 was associated with MGUS (OR, 1.55; 95% CI, 1.08-2.21), compared to BMI <30. Clinician-diagnosed hypertension (yes/no) and diabetes mellitus (yes/no) were associated with MGUS with ORs 1.44 (95% CI, 1.01-2.04) and 1.88 (95% CI, 1.004-3.51). There were no significant associations between MGUS and high cholesterol, high triglycerides, heart disease, myocardial infarction, or stroke. Short sleep of ≤6 hours/day was associated with MGUS (OR, 1.43; 95% CI, 1.01-2.03), compared to >6 hours/day. Physical activity (metabolic equivalents/week), smoking status (current, past, never), alcohol consumption (g/day) had no associations with MGUS. No risk factor associations were found for MGIP.
Conclusion: In screening a high-risk population by mass spectrometry, we found associations of both traditionally established (obesity) and novel risk factors (diabetes, hypertension, short sleep) with MGUS. None of these exposures were associated with MGIP despite finding a high prevalence of MGIP in Blacks and individuals with family history, suggesting that these risk factors may not be etiologically involved in MGIP development but possibly its clonal expansion to more advanced stages.
Citation Format: David J. Lee, Habib El-Khoury, Jean-Baptiste Alberge, D.J. Sakrikar, David Barnidge, Mark C. Perkins, Stephen Harding, Jacqueline Perry, Maya I. Davis, Julia Amstutz, Erica Horowitz, Timothy R. Rebbeck, Irene M. Ghobrial, Catherine R. Marinac. Obesity, metabolic comorbidities, and lifestyle factors and their association with monoclonal gammopathies in a high-risk screened population: Results of the PROMISE study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3651.
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Tan K, Sakrikar D, Ashby J, North S, Ouverson L, Wallis G, Du Chateau B, Harding S, Barnidge D. M185 QIP-MS: A reliable method for detection of M-proteins traceable to the international serum standard DA470K. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Tay W, Barnidge D, Sakrikar D, Harding S, Sherman M, Cheedarla N, Neish A. T042 Automated EXENT® mass spectrometry for the qualitative assessment of monoclonal immunoglobulins in urine. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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El-Khoury H, Lee DJ, Alberge JB, Redd R, Cea-Curry CJ, Perry J, Barr H, Murphy C, Sakrikar D, Barnidge D, Bustoros M, Leblebjian H, Cowan A, Davis MI, Amstutz J, Boehner CJ, Lightbody ED, Sklavenitis-Pistofidis R, Perkins MC, Harding S, Mo CC, Kapoor P, Mikhael J, Borrello IM, Fonseca R, Weiss ST, Karlson E, Trippa L, Rebbeck TR, Getz G, Marinac CR, Ghobrial IM. Prevalence of monoclonal gammopathies and clinical outcomes in a high-risk US population screened by mass spectrometry: a multicentre cohort study. Lancet Haematol 2022; 9:e340-e349. [PMID: 35344689 PMCID: PMC9067621 DOI: 10.1016/s2352-3026(22)00069-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/13/2022] [Accepted: 02/14/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Prevalence estimates for monoclonal gammopathy of undetermined significance (MGUS) are based on predominantly White study populations screened by serum protein electrophoresis supplemented with immunofixation electrophoresis. A prevalence of 3% is reported for MGUS in the general population of European ancestry aged 50 years or older. MGUS prevalence is two times higher in individuals of African descent or with a family history of conditions related to multiple myeloma. We aimed to evaluate the prevalence and clinical implications of monoclonal gammopathies in a high-risk US population screened by quantitative mass spectrometry. METHODS We used quantitative matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry and EXENT-iQ software to screen for and quantify monoclonal gammopathies in serum from 7622 individuals who consented to the PROMISE screening study between Feb 26, 2019, and Nov 4, 2021, and the Mass General Brigham Biobank (MGBB) between July 28, 2010, and July 1, 2021. M-protein concentrations at the monoclonal gammopathy of indeterminate potential (MGIP) level were confirmed by liquid chromatography mass spectrometry testing. 6305 (83%; 2211 from PROMISE, 4094 from MGBB) of 7622 participants in the cohorts were at high risk for developing a monoclonal gammopathy on the basis of Black race or a family history of haematological malignancies and fell within the eligible high-risk age range (30 years or older for PROMISE cohort and 18 years or older for MGBB cohort); those over 18 years were also eligible if they had two or more family members with a blood cancer (PROMISE cohort). Participants with a plasma cell malignancy diagnosed before screening were excluded. Longitudinal clinical data were available for MGBB participants with a median follow-up time from serum sample screening of 4·5 years (IQR 2·4-6·7). The PROMISE study is registered with ClinicalTrials.gov, NCT03689595. FINDINGS The median age at time of screening was 56·0 years (IQR 46·8-64·1). 5013 (66%) of 7622 participants were female, 2570 (34%) male, and 39 (<1%) unknown. 2439 (32%) self-identified as Black, 4986 (65%) as White, 119 (2%) as other, and 78 (1%) unknown. Using serum protein electrophoresis with immunofixation electrophoresis, the MGUS prevalence was 6% (101 of 1714) in high-risk individuals aged 50 years or older. Using mass spectrometry, we observed a total prevalence of monoclonal gammopathies of 43% (1788 of 4207) in this group. We termed monoclonal gammopathies below the clinical immunofixation electrophoresis detection level (<0·2 g/L) MGIPs, to differentiate them from those with higher concentrations, termed mass-spectrometry MGUS, which had a 13% (592 of 4207) prevalence by mass spectrometry in high-risk individuals aged 50 years or older. MGIP was predominantly of immunoglobulin M isotype, and its prevalence increased with age (19% [488 of 2564] for individuals aged <50 years, 29% [1464 of 5058] for those aged ≥50 years, and 37% [347 of 946] for those aged ≥70 years). Mass-spectrometry MGUS prevalence increased with age (5% [127 of 2564] for individuals aged <50 years, 13% [678 of 5058] for those aged ≥50 years, and 18% [173 of 946] for those aged ≥70 years) and was higher in men (314 [12%] of 2570) compared with women (485 [10%] 5013; p=0·0002), whereas MGIP prevalence did not differ significantly by gender. In those aged 50 years or older, the prevalence of mass spectrometry was significantly higher in Black participants (224 [17%] of 1356) compared with the controls (p=0·0012) but not in those with family history (368 [13%] of 2851) compared with the controls (p=0·1008). Screen-detected monoclonal gammopathies correlated with increased all-cause mortality in MGBB participants (hazard ratio 1·55, 95% CI 1·16-2·08; p=0·0035). All monoclonal gammopathies were associated with an increased likelihood of comorbidities, including myocardial infarction (odds ratio 1·60, 95% CI 1·26-2·02; p=0·00016 for MGIP-high and 1·39, 1·07-1·80; p=0·015 for mass-spectrometry MGUS). INTERPRETATION We detected a high prevalence of monoclonal gammopathies, including age-associated MGIP, and made more precise estimates of mass-spectrometry MGUS compared with conventional gel-based methods. The use of mass spectrometry also highlighted the potential hidden clinical significance of MGIP. Our study suggests the association of monoclonal gammopathies with a variety of clinical phenotypes and decreased overall survival. FUNDING Stand Up To Cancer Dream Team, the Multiple Myeloma Research Foundation, and National Institutes of Health.
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Affiliation(s)
- Habib El-Khoury
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - David J Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jean-Baptiste Alberge
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert Redd
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Christian J Cea-Curry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jacqueline Perry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Hadley Barr
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Ciara Murphy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | | | - Mark Bustoros
- Department of Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Houry Leblebjian
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Pharmacy, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anna Cowan
- Alix School of Medicine, The Mayo Clinic, Rochester, MN, USA
| | - Maya I Davis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Julia Amstutz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Cody J Boehner
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Elizabeth D Lightbody
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Romanos Sklavenitis-Pistofidis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Clifton C Mo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Joseph Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, AZ, USA; International Myeloma Foundation, North Hollywood, CA, USA
| | - Ivan M Borrello
- Department of Medical Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rafael Fonseca
- Department of Medical Oncology, The Mayo Clinic, Phoenix, AZ, USA
| | - Scott T Weiss
- Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Elizabeth Karlson
- Harvard Medical School, Boston, MA, USA; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Lorenzo Trippa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Timothy R Rebbeck
- The Center for Prevention of Progression of Blood Cancer, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gad Getz
- Harvard Medical School, Boston, MA, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Catherine R Marinac
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Prevention of Progression of Blood Cancer, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Prevention of Progression of Blood Cancer, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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Tan K, Ashby J, North S, Barnidge D, Brusseau S, Patel R, Du Chateau B, Wallis G, Harding S, Sakrikar D. T032 QIP-MS: An alternative method to standard electrophoretic techniques for the identification of intact monoclonal immunoglobulins. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Tan K, Lajko M, Sakrikar D, Ashby J, North S, Wallis G, Harding S, Du Chateau B, Murray D, Barnidge D. T033 QIP-MS discriminates therapeutic monoclonal antibodies from endogenous m-proteins in patients with multiple myeloma. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Deighan WI, Winton VJ, Melani RD, Anderson LC, McGee JP, Schachner LF, Barnidge D, Murray D, Alexander HD, Gibson DS, Deery MJ, McNicholl FP, McLaughlin J, Kelleher NL, Thomas PM. Development of novel methods for non-canonical myeloma protein analysis with an innovative adaptation of immunofixation electrophoresis, native top-down mass spectrometry, and middle-down de novo sequencing. Clin Chem Lab Med 2020; 59:653-661. [PMID: 33079696 DOI: 10.1515/cclm-2020-1072] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 10/07/2020] [Indexed: 12/18/2022]
Abstract
Objectives Multiple myeloma (MM) is a malignant plasma cell neoplasm, requiring the integration of clinical examination, laboratory and radiological investigations for diagnosis. Detection and isotypic identification of the monoclonal protein(s) and measurement of other relevant biomarkers in serum and urine are pivotal analyses. However, occasionally this approach fails to characterize complex protein signatures. Here we describe the development and application of next generation mass spectrometry (MS) techniques, and a novel adaptation of immunofixation, to interrogate non-canonical monoclonal immunoproteins. Methods Immunoprecipitation immunofixation (IP-IFE) was performed on a Sebia Hydrasys Scan2. Middle-down de novo sequencing and native MS were performed with multiple instruments (21T FT-ICR, Q Exactive HF, Orbitrap Fusion Lumos, and Orbitrap Eclipse). Post-acquisition data analysis was performed using Xcalibur Qual Browser, ProSight Lite, and TDValidator. Results We adapted a novel variation of immunofixation electrophoresis (IFE) with an antibody-specific immunosubtraction step, providing insight into the clonal signature of gamma-zone monoclonal immunoglobulin (M-protein) species. We developed and applied advanced mass spectrometric techniques such as middle-down de novo sequencing to attain in-depth characterization of the primary sequence of an M-protein. Quaternary structures of M-proteins were elucidated by native MS, revealing a previously unprecedented non-covalently associated hetero-tetrameric immunoglobulin. Conclusions Next generation proteomic solutions offer great potential for characterizing complex protein structures and may eventually replace current electrophoretic approaches for the identification and quantification of M-proteins. They can also contribute to greater understanding of MM pathogenesis, enabling classification of patients into new subtypes, improved risk stratification and the potential to inform decisions on future personalized treatment modalities.
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Affiliation(s)
- W Ian Deighan
- Department of Clinical Chemistry, Altnagelvin Area Hospital, Londonderry, UK
| | - Valerie J Winton
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA
| | - Rafael D Melani
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA
| | - Lissa C Anderson
- Ion Cyclotron Resonance Program, National High Magnetic Field Laboratory, Tallahassee, FL, USA
| | - John P McGee
- Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
| | - Luis F Schachner
- Department of Chemistry, Northwestern University, Evanston, IL, USA
| | - David Barnidge
- Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - David Murray
- Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - H Denis Alexander
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Londonderry, UK
| | - David S Gibson
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Londonderry, UK
| | - Michael J Deery
- Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK
| | | | - Joseph McLaughlin
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Londonderry, UK
| | - Neil L Kelleher
- Proteomics Center of Excellence & Departments of Chemistry and Molecular Biology,Northwestern University, Evanston, IL, USA
| | - Paul M Thomas
- Proteomics Center of Excellence & Departments of Chemistry and Molecular Biology,Northwestern University, Evanston, IL, USA
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North S, Barnidge D, Brusseau S, Patel R, Haselton M, Du Chateau B, Wallis G, Harding S, Sakrikar D, Ashby J. QIP-MS: A specific, sensitive, accurate, and quantitative alternative to electrophoresis that can identify endogenous m-proteins and distinguish them from therapeutic monoclonal antibodies in patients being treated for multiple myeloma. Clin Chim Acta 2019. [DOI: 10.1016/j.cca.2019.03.920] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Saadalla AM, Singh A, Barnidge D, Kohlhagen M, Merlini G, Falk RH, Murray D. High sensitivity M-protein detection in a case of light-chain cardiac amyloidosis without evidence of plasma cell dyscrasia. Am J Hematol 2019; 94:619-621. [PMID: 30575105 DOI: 10.1002/ajh.25383] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Revised: 12/12/2018] [Accepted: 12/17/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Abdulrahman M. Saadalla
- Division of Clinical Biochemistry & Immunology, Department of Laboratory Medicine & PathologyMayo Clinic Rochester Minnesota
| | - Avinainder Singh
- BWH/DFCI Amyloidosis ProgramBrigham and Women's Hospital and Dana Farber Cancer Institute, Harvard Medical School Boston Massachusetts
| | - David Barnidge
- Division of Clinical Biochemistry & Immunology, Department of Laboratory Medicine & PathologyMayo Clinic Rochester Minnesota
| | - Mindy Kohlhagen
- Division of Clinical Biochemistry & Immunology, Department of Laboratory Medicine & PathologyMayo Clinic Rochester Minnesota
| | - Giampaolo Merlini
- Amyloidosis Research and Treatment CenterFondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo Pavia Italy
- Department of Molecular MedicineUniversity of Pavia Pavia Italy
| | - Rodney H. Falk
- BWH/DFCI Amyloidosis ProgramBrigham and Women's Hospital and Dana Farber Cancer Institute, Harvard Medical School Boston Massachusetts
| | - David Murray
- Division of Clinical Biochemistry & Immunology, Department of Laboratory Medicine & PathologyMayo Clinic Rochester Minnesota
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Kourelis T, Murray DL, Dasari S, Kumar S, Barnidge D, Madden B, Arendt B, Milani P, Merlini G, Ramirez-Alvarado M, Kyle RA, Dispenzieri A. MASS-FIX may allow identification of patients at risk for light chain amyloidosis before the onset of symptoms. Am J Hematol 2018; 93:E368-E370. [PMID: 30105838 DOI: 10.1002/ajh.25244] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 08/06/2018] [Indexed: 01/25/2023]
Affiliation(s)
| | - David L. Murray
- Department of Laboratory Medicine; Mayo Clinic; Rochester Minnesota
| | - Surendra Dasari
- Department of Health Sciences Research; Mayo Clinic; Rochester Minnesota
| | - Sanjay Kumar
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - David Barnidge
- Department of Laboratory Medicine; Mayo Clinic; Rochester Minnesota
| | | | - Bonnie Arendt
- Department of Laboratory Medicine; Mayo Clinic; Rochester Minnesota
| | - Paolo Milani
- AMyloidosis Research and Treatment Center, Foundation “Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo” and Department of Molecular Medicine; University of Pavia; Pavia Italy
| | - Giampaolo Merlini
- AMyloidosis Research and Treatment Center, Foundation “Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo” and Department of Molecular Medicine; University of Pavia; Pavia Italy
| | | | - Robert A. Kyle
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Angela Dispenzieri
- Division of Hematology; Mayo Clinic; Rochester Minnesota
- Department of Laboratory Medicine; Mayo Clinic; Rochester Minnesota
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Kumar S, Dispenzieri A, Dasari S, Milani P, Merlini G, Hetrick M, Barnidge D, Madden B, Murray D. Abstract 2693: Mass spectrometric approach to identify N-glycosylation of light chain in patients with immunoglobulin light chain amyloidosis (AL). Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-2693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
AL is a rare plasma cell disorder, resulting from clonal bone marrow plasma cells secreting immunoglobulin light chains (LC), which aggregate abnormally into fibrils, and leads to amyloid deposits in different organs. Previous studies using LC immunopurification and MALDI-TOF/MS (MASS-FIX) on patients with known plasma cell disorders (PCDs), demonstrated that monoclonal LC from AL patients display unusually complex mass to charge spectra (m/z) for their LCs at much higher frequencies than other PCDs such as multiple myeloma. We hypothesized that these were post-translational modification, presumably glycoforms. Here, we report investigations into LC glycosylation using MASS- FIX. Serum from 212 lambda and 72 kappa AL patients were collected following Mayo Clinic IRB guidelines. LC was purified from serum using nanobody enrichment method, followed by MASS-FIX. The LCs spectra acquired on MASS-FIX were visually analyzed and were classified into different patterns. The kappa and lambda LC mass distributions with abnormal complex patterns were interrogated for the presence of glycosylation by exposure to the LC to a deglycoslylating enzyme (PNGase F) and analysis of LC mass distribution using MASS-FIX and by LC-ESI-Orbitrap. Monoclonal LCs demonstrating significantly mass shifted peak outside the normal kappa and lambda mass distribution were observed in 31% of kappa and 6% of lambda patients with AL. In order to determine if this characteristic mass shift was due to glycosylation, 16 kappa and 6 lambda LCs were treated with a PNGase F and LC spectrum were re-examined by MASS-FIX and LC-ESI-Orbitrap. The monoclonal LCs whose masses were significantly shifted beyond normal kappa and lambda mass distributions were found to shift to lower molecular weight after PNGase F treatment, confirming the presence of N-glycosylation. Moreover, an additional 5 kappa and 23 lambda samples had other complex patterns, typically with multiple additional peaks at increments of 162 Da. These samples did not shift with PNGase F suggesting either glycation or O-glycosylation. This work is significant as it confirms that N-glycosylated LCs are over represented in patients with AL in comparison to other PCDs. In patients with AL, the frequency of N-glycosylation of kappa LC clones was 5 times higher than that of lambda LC clones. More work is needed to explore the mechanism for this finding, the role of glycosylation in fibril formation, and the other complex patterns observed. In addition, MASS-FIX method used in this work is currently being validated in the clinical lab such that rapid detection of N-glycosylation in patients with monoclonal gammopathies will be possible routinely, potentially leading to earlier clinical suspicion for AL among patients with monoclonal gammopathies and hence to earlier detection of AL.
Citation Format: Sanjay Kumar, Angela Dispenzieri, Surendra Dasari, Paolo Milani, Giampaolo Merlini, MeLea Hetrick, David Barnidge, Benjamin Madden, David Murray. Mass spectrometric approach to identify N-glycosylation of light chain in patients with immunoglobulin light chain amyloidosis (AL) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2693.
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Abstract
Studies monitoring immunoglobulin (Ig) antigen specificity have brought to light key Ig biomarkers for immunity, autoimmunity, cancer detection, and immune system function evaluation. A fundamentally new approach to the detection of Igs based on the primary structure of the Ig is beginning to emerge in the literature. This approach has only become feasible in light of advances in proteomics and rapid improvements in mass spectrometry (MS). Driven primarily by the development of Ig pharmaceuticals, Ig MS-based proteomic methods are revealing structural features which were previously unavailable with other characterization techniques. The task of adapting these techniques to clinical chemistry is in its infancy, but these methods have the potential to dramatically alter testing for Ig biomarkers. The purpose of this article is to review the advances that have been made in proteomic characterization of Igs by MS and the early attempts to apply these methods to clinical samples.
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Affiliation(s)
- David Murray
- Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN , USA
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Abstract
The choice of electrospray ionisation/time-of-flight mass spectrometry (ESI/TOF-MS) as mass analyser for combination with microseparation techniques, such as µLC, CE and CEC, may be recommended due to the features that present-day TOF-MS instruments have to offer. Advanced digital electronics, which ensure a fast and accurate data handling over a more or less 'unlimited' mass range, make these mass spectrometers the instruments of choice to sensitively cope with low flow rates, high-speed analyses and often very narrow bandwidths without risking the loss of valuable information. Recent achievements in interfacing microseparation techniques to ESI/TOF-MS will be presented and discussed.
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Mills JS, Miettinen HM, Barnidge D, Vlases MJ, Wimer-Mackin S, Dratz EA, Sunner J, Jesaitis AJ. Identification of a ligand binding site in the human neutrophil formyl peptide receptor using a site-specific fluorescent photoaffinity label and mass spectrometry. J Biol Chem 1998; 273:10428-35. [PMID: 9553101 DOI: 10.1074/jbc.273.17.10428] [Citation(s) in RCA: 60] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
A novel fluorescent photoaffinity cross-linking probe, formyl-Met-p-benzoyl-L-phenylalanine-Phe-Tyr-Lys-epsilon-N-fluorescei n (fMBpaFYK-fl), was synthesized and used to identify binding site residues in recombinant human phagocyte chemoattractant formyl peptide receptor (FPR). After photoactivation, fluorescein-labeled membranes from Chinese hamster ovary cells were solubilized in octylglucoside and separated by tandem anion exchange and gel filtration chromatography. A single peak of fluorescence was observed in extracts of FPR-expressing cells that was absent in extracts from wild type controls. Photolabeled Chinese hamster ovary membranes were cleaved with CNBr, and the fluorescent fragments were isolated on an antifluorescein immunoaffinity matrix. Matrix-assisted laser desorption ionization mass spectrometry identified a major species with mass = 1754, consistent with the CNBr fragment of fMBpaFYK-fl cross-linked to Val-Arg-Lys-Ala-Hse (an expected CNBr fragment of FPR, residues 83-87). This peptide was further cleaved with trypsin, repurified by antifluorescein immunoaffinity, and subjected to matrix-assisted laser desorption ionization mass spectrometry. A tryptic fragment with mass = 1582 was observed, which is the mass of fMBpaFYK-fl cross-linked to Val-Arg-Lys (FPR residues 83-85), an expected trypsin cleavage product of Val-Arg-Lys-Ala-Hse. Residues 83-85 lie within the putative second transmembrane-spanning region of FPR near the extracellular surface. A 3D model of FPR is presented, which accounts for intramembrane, site-directed mutagenesis results (Miettinen, H. M., Mills, J., Gripentrog, J., Dratz, E. A., Granger, B. L., and Jesaitis, A. J. (1997) J. Immunol. 159, 4045-4054) and the photochemical cross-linking data.
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MESH Headings
- Affinity Labels
- Amino Acid Sequence
- Animals
- Binding Sites
- CHO Cells
- Cell Membrane/metabolism
- Cricetinae
- Fluorescent Dyes
- Humans
- Models, Molecular
- Molecular Sequence Data
- Mutagenesis, Site-Directed
- N-Formylmethionine Leucyl-Phenylalanine/metabolism
- Neutrophils/metabolism
- Receptors, Formyl Peptide
- Receptors, Immunologic/chemistry
- Receptors, Immunologic/genetics
- Receptors, Immunologic/metabolism
- Receptors, Peptide/chemistry
- Receptors, Peptide/genetics
- Receptors, Peptide/metabolism
- Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Affiliation(s)
- J S Mills
- Department of Microbiology, Montana State University, Bozeman, Montana 59717-3520, USA
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