1
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Tettero JM, Heidinga ME, Mocking TR, Fransen G, Kelder A, Scholten WJ, Snel AN, Ngai LL, Bachas C, van de Loosdrecht AA, Ossenkoppele GJ, de Leeuw DC, Cloos J, Janssen JJWM. Impact of hemodilution on flow cytometry based measurable residual disease assessment in acute myeloid leukemia. Leukemia 2024; 38:630-639. [PMID: 38272991 PMCID: PMC10912027 DOI: 10.1038/s41375-024-02158-1] [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: 09/24/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/27/2024]
Abstract
Measurable residual disease (MRD) measured in the bone marrow (BM) of acute myeloid leukemia (AML) patients after induction chemotherapy is an established prognostic factor. Hemodilution, stemming from peripheral blood (PB) mixing within BM during aspiration, can yield false-negative MRD results. We prospectively examined hemodilution by measuring MRD in BM aspirates obtained from three consecutive 2 mL pulls, along with PB samples. Our results demonstrated a significant decrease in MRD percentages between the first and second pulls (P = 0.025) and between the second and third pulls (P = 0.025), highlighting the impact of hemodilution. Initially, 39% of MRD levels (18/46 leukemia-associated immunophenotypes) exceeded the 0.1% cut-off, decreasing to 30% (14/46) in the third pull. Additionally, we assessed the performance of six published methods and parameters for distinguishing BM from PB samples, addressing or compensating for hemodilution. The most promising results relied on the percentages of CD16dim granulocytic population (scarce in BM) and CD117high mast cells (exclusive to BM). Our findings highlight the importance of estimating hemodilution in MRD assessment to qualify MRD results, particularly near the common 0.1% cut-off. To avoid false-negative results by hemodilution, it is essential to collect high-quality BM aspirations and preferably utilizing the initial pull for MRD testing.
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Affiliation(s)
- Jesse M Tettero
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Maaike E Heidinga
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Tim R Mocking
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Glenn Fransen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angèle Kelder
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Willemijn J Scholten
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Alexander N Snel
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Lok Lam Ngai
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Arjan A van de Loosdrecht
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Gert J Ossenkoppele
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - David C de Leeuw
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
| | - Jeroen J W M Janssen
- Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
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2
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Óskarsson JÞ, Rögnvaldsson S, Thorsteinsdottir S, Aspelund T, Gunnarsson SB, Hákonardóttir GK, Sigurðardóttir GÁ, Þórðardóttir ÁR, Gíslason GK, Ólafsson A, Sigurðsson JK, Eyþórsson E, Jónsson Á, Viðarsson B, Önundarson PT, Agnarsson BA, Pálmason R, Sigurðardóttir M, Þorsteinsdóttir I, Ólafsson Í, Harding S, Flores-Montero J, Orfao A, Durie BGM, Love TJ, Kristinsson SY. Determining hemodilution in diagnostic bone marrow aspirated samples in plasma cell disorders by next-generation flow cytometry: Proposal for a bone marrow quality index. Blood Cancer J 2023; 13:177. [PMID: 38040702 PMCID: PMC10692231 DOI: 10.1038/s41408-023-00951-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
Hemodilution of bone marrow (BM) aspirates is a limitation of multiparameter flow cytometry (MFC) in plasma cell disorders. There is a need for a validated approach for assessing sample quality and the distribution of non-plasma cell BM populations by MFC could provide a solution. We evaluated BM-associated cell populations, assessed by next-generation flow cytometry (NGF) and white blood cell (WBC) count in 351 BM aspirated samples from 219 participants with plasma cell disorders in the Iceland Screens, Treats, or Prevents MM study (iStopMM), as markers of hemodilution by their discriminatory ability between first and (generally more hemodiluted) second pull BM aspirated samples. The most discriminating markers were used to derive a novel BM quality index (BMQI). Nucleated red blood cells and myeloid precursors provided the greatest discriminatory ability between first vs second pull samples (area under the curve (AUC): 0.87 and 0.85, respectively), significantly better than B cell precursors (AUC = 0.64; p < 0.001), mast cells (AUC = 0.65; p < 0.001), and the BM WBC count (AUC = 0.77; p < 0.05). We generated a novel BMQI that is intrinsic to current NGF protocols, for evaluating quality of diagnostic BM samples and suggest the use of a BMQI scoring system for interpreting results and guiding appropriate actions.
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Affiliation(s)
| | - Sæmundur Rögnvaldsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
| | - Sigrun Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Thor Aspelund
- Public Health Sciences, University of Iceland, Reykjavík, Iceland
| | | | | | | | | | | | - Andri Ólafsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | | | | | | | | | | | | | - Róbert Pálmason
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | | | | | | | | | - Juan Flores-Montero
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service (NUCLEUS), University of Salamanca; Biomedical Research Institute of Salamanca (IBSAL) and CIBERONC, Salamanca, Spain
| | - Alberto Orfao
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service (NUCLEUS), University of Salamanca; Biomedical Research Institute of Salamanca (IBSAL) and CIBERONC, Salamanca, Spain
| | - Brian G M Durie
- Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, CA, USA
| | - Thorvardur Jon Love
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
| | - Sigurdur Yngvi Kristinsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
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3
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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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4
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van der Velden VHJ, Preijers F, Johansson U, Westers TM, Dunlop A, Porwit A, Béné MC, Valent P, Te Marvelde J, Wagner-Ballon O, Oelschlaegel U, Saft L, Kordasti S, Ireland R, Cremers E, Alhan C, Duetz C, Hobo W, Chapuis N, Fontenay M, Bettelheim P, Eidenshink-Brodersen L, Font P, Loken MR, Matarraz S, Ogata K, Orfao A, Psarra K, Subirá D, Wells DA, Della Porta MG, Burbury K, Bellos F, Weiß E, Kern W, van de Loosdrecht A. Flow cytometric analysis of myelodysplasia: Pre-analytical and technical issues-Recommendations from the European LeukemiaNet. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023; 104:15-26. [PMID: 34894176 PMCID: PMC10078694 DOI: 10.1002/cyto.b.22046] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/18/2021] [Accepted: 11/29/2021] [Indexed: 01/19/2023]
Abstract
BACKGROUND Flow cytometry (FCM) aids the diagnosis and prognostic stratification of patients with suspected or confirmed myelodysplastic syndrome (MDS). Over the past few years, significant progress has been made in the FCM field concerning technical issues (including software and hardware) and pre-analytical procedures. METHODS Recommendations are made based on the data and expert discussions generated from 13 yearly meetings of the European LeukemiaNet international MDS Flow working group. RESULTS We report here on the experiences and recommendations concerning (1) the optimal methods of sample processing and handling, (2) antibody panels and fluorochromes, and (3) current hardware technologies. CONCLUSIONS These recommendations will support and facilitate the appropriate application of FCM assays in the diagnostic workup of MDS patients. Further standardization and harmonization will be required to integrate FCM in MDS diagnostic evaluations in daily practice.
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Affiliation(s)
- Vincent H J van der Velden
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frank Preijers
- Department of Laboratory Medicine - Laboratory for Hematology, Radboudumc, Nijmegen, The Netherlands
| | - Ulrika Johansson
- Laboratory Medicine, SI-HMDS, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Theresia M Westers
- Department of Hematology, Amsterdam UMC, location VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Alan Dunlop
- Department of Haemato-Oncology, Royal Marsden Hospital, Sutton, Surrey, UK
| | - Anna Porwit
- Department of Clinical Sciences, Division of Oncology And Pathology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Marie C Béné
- Hematology Biology, Nantes University Hospital and CRCINA, Nantes, France
| | - Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria
| | - Jeroen Te Marvelde
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Orianne Wagner-Ballon
- Department of Hematology and Immunology; and Université Paris-Est Créteil, Assistance Publique-Hôpitaux de Paris, University Hospital Henri Mondor, Inserm U955, Créteil, France
| | - Uta Oelschlaegel
- Department of Internal Medicine, University Hospital Carl-Gustav-Carus, Dresden, TU, Germany
| | - Leonie Saft
- Department of Clinical Pathology and Oncology, Karolinska University Hospital and Institute, Solna, Stockholm, Sweden
| | - Sharham Kordasti
- Comprehensive Cancer Centre, King's College London and Hematology Department, Guy's Hospital, London, UK
| | - Robin Ireland
- Comprehensive Cancer Centre, King's College London and Hematology Department, Guy's Hospital, London, UK
| | - Eline Cremers
- Department of Internal Medicine, Division of Hematology, Maastricht University Medical Center, AZ, Maastricht, The Netherlands
| | - Canan Alhan
- Department of Hematology, Amsterdam UMC, location VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Carolien Duetz
- Department of Hematology, Amsterdam UMC, location VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Willemijn Hobo
- Department of Laboratory Medicine - Laboratory for Hematology, Radboudumc, Nijmegen, The Netherlands
| | - Nicolas Chapuis
- Assistance Publique-Hôpitaux de Paris. Centre-Université de Paris, Cochin Hospital, Laboratory of Hematology and Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
| | - Michaela Fontenay
- Assistance Publique-Hôpitaux de Paris. Centre-Université de Paris, Cochin Hospital, Laboratory of Hematology and Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
| | - Peter Bettelheim
- Department of Internal Medicine, Ordensklinikum Linz Barmherzige Schwestern - Elisabethinen, Linz, Austria
| | | | - Patricia Font
- Department of Hematology, Hospital General Universitario Gregorio Marañon-IiSGM, Madrid, Spain
| | | | - Sergio Matarraz
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service, University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto Carlos III, Salamanca, Spain
| | - Kiyoyuki Ogata
- Metropolitan Research and Treatment Centre for Blood Disorders (MRTC Japan), Tokyo, Japan
| | - Alberto Orfao
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service, University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto Carlos III, Salamanca, Spain
| | - Katherina Psarra
- Immunology Histocompatibility Department, Evangelismos Hospital, Athens, Greece
| | - Dolores Subirá
- Flow Cytometry Unit. Department of Hematology, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | | | - Matteo G Della Porta
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy & Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Kate Burbury
- Department of Haematology, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Australia
| | | | | | | | - Arjan van de Loosdrecht
- Department of Hematology, Amsterdam UMC, location VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
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Pacelli P, Raspadori D, Bestoso E, Gozzetti A, Bocchia M. "Friends and foes" of multiple myeloma measurable/minimal residual disease evaluation by next generation flow. Front Oncol 2022; 12:1057713. [PMID: 36518304 PMCID: PMC9742464 DOI: 10.3389/fonc.2022.1057713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/14/2022] [Indexed: 09/19/2023] Open
Abstract
Next Generation Flow (NGF) represents a gold standard for the evaluation of Minimal Residual Disease (MRD) in Multiple Myeloma (MM) patients at any stage of treatment. Although the assessment of MRD is still not universally employed in clinical practice, numerous studies have demonstrated the strength of MRD as a reliable predictor of long-term outcome, and its potential to supersede the prognostic value of CR. The possibility to acquire millions of events, in combination with the use of standard reagents and a good expertise in the analysis of rare populations, led to high chance of success and a sensitivity of 10-6 that is superimposable to the one of Next Generation Sequencing molecular techniques. Some minor bias, correlated to the protocols applied, to the quality of samples and to the high heterogeneity of plasma cells phenotype, may be overcome using standard protocols and having at disposition personnel expertise for MRD analysis. With the use of NGF we can today enter a new phase of the quantification of residual disease, switching from the definition of "minimal" residual disease to "measurable" residual disease. This review takes account of the principle "friends and foes" of Myeloma "Measurable" Residual Disease evaluation by NGF, to give insights into the potentiality of this technique. The optimization of the quality of BM samples and the analytic expertise that permits to discriminate properly the rare pathologic clones, are the keys for obtaining results with a high clinical value that could be of great impact and relevance in the future.
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Affiliation(s)
- Paola Pacelli
- Hematology Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | | | - Elena Bestoso
- Hematology Unit, Siena University Hospital, Siena, Italy
| | - Alessandro Gozzetti
- Hematology Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
- Hematology Unit, Siena University Hospital, Siena, Italy
| | - Monica Bocchia
- Hematology Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
- Hematology Unit, Siena University Hospital, Siena, Italy
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Vigliotta I, Armuzzi S, Barone M, Solli V, Pistis I, Borsi E, Taurisano B, Mazzocchetti G, Martello M, Poletti A, Sartor C, Rizzello I, Pantani L, Tacchetti P, Papayannidis C, Mancuso K, Rocchi S, Zamagni E, Curti A, Arpinati M, Cavo M, Terragna C. The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases. Front Oncol 2022; 12:1001048. [PMID: 36276072 PMCID: PMC9582597 DOI: 10.3389/fonc.2022.1001048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/20/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Minimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodilution, several flow cytometry (FC) strategies for hemodilution evaluation have been compared. Methods For each BM sample, cells populations with a well-known distribution in BM and peripheral blood - e.g., mast cells (MC), immature (IG) and mature granulocytes (N) – have been studied by FC and quantified alongside the BM differential count. Results The frequencies of cells’ populations were correlated to the IG/N ratio, highlighting a mild correlation with MCs and erythroblasts (R=0.25 and R=0.38 respectively, with p-value=0.0006 and 0.0000052), whereas no significant correlation was found with B or T-cells. The mild correlation between IG/N, erythroblasts and MCs supported the combined use of these parameters to evaluate BM hemodilution, hence the optimization of the ALLgorithMM. Once validated, the ALLgorithMM was employed to evaluate the dilution status of BM samples in the context of MRD assessment. Overall, we found that 32% of FC and 52% of Next Generation Sequencing (NGS) analyses were MRD negative in samples resulted hemodiluted (HD) or at least mildly hemodiluted (mHD). Conclusions The high frequency of MRD-negative results in both HD and mHD samples implies the presence of possible false negative MRD measurements, impairing the correct assessment of patients’ response to therapy and highlighs the importance to evaluate BM hemodilution.
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Affiliation(s)
- Ilaria Vigliotta
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- *Correspondence: Ilaria Vigliotta, ; Carolina Terragna,
| | - Silvia Armuzzi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Martina Barone
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Vincenza Solli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Ignazia Pistis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Enrica Borsi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Barbara Taurisano
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Gaia Mazzocchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Marina Martello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Andrea Poletti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Chiara Sartor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Ilaria Rizzello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Lucia Pantani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Cristina Papayannidis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Katia Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Serena Rocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Antonio Curti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Mario Arpinati
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Carolina Terragna
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- *Correspondence: Ilaria Vigliotta, ; Carolina Terragna,
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7
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Hoffmann J, Thrun MC, Röhnert MA, von Bonin M, Oelschlägel U, Neubauer A, Ultsch A, Brendel C. Identification of critical hemodilution by artificial intelligence in bone marrow assessed for MRD analysis in acute myeloid leukemia: the Cinderella method. Cytometry A 2022; 103:304-312. [PMID: 36030398 DOI: 10.1002/cyto.a.24686] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/08/2022]
Abstract
Minimal residual disease (MRD) detection is a strong predictor for survival and relapse in acute myeloid leukemia (AML). MRD can be either determined by molecular assessment strategies or via multiparameter flow cytometry. The degree of bone marrow (BM) dilution with peripheral blood (PB) increases with aspiration volume causing consecutive underestimation of the residual AML blast amount. In order to prevent false-negative MRD results, we developed Cinderella, a simple automated method for one-tube simultaneous measurement of hemodilution in BM samples and MRD level. The explainable artificial intelligence (XAI) Cinderella was trained and validated with the digital raw data of a flow cytometric "8-color" AML-MRD antibody panel in 126 BM and 23 PB samples from 35 patients. Cinderella predicted PB dilution with high accordance compared to the results of the Holdrinet formula (Pearson's correlation coefficient r = 0.94, R2 = 0.89, p < 0.001). Unlike conventional neuronal networks Cinderella calculated the distributions of 12 different cell populations that were assigned to true hematopoietic counterparts as a Human in the Loop (HIL) approach. Besides characteristic BM cells such as myelocytes and myeloid progenitor cells the XAI identified discriminating populations, which were not specific for BM or PB (e.g., T cell/ NK cell subpopulations, CD45 negative cells) and considered their frequency differences. Thus, Cinderella represents a HIL-XAI algorithm capable to calculate the degree of hemodilution in bone marrow samples with an AML MRD immunophenotype panel. It is explicable, transparent and paves a simple way to prevent false negative MRD reports. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Joerg Hoffmann
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany
| | - Michael C Thrun
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany.,Databionics, Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany
| | - Maximilian A Röhnert
- Department of Medicine I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Malte von Bonin
- Department of Medicine I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Uta Oelschlägel
- Department of Medicine I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Andreas Neubauer
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany
| | - Alfred Ultsch
- Databionics, Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany
| | - Cornelia Brendel
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany
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8
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Bone Marrow Stromal Cell Regeneration Profile in Treated B-Cell Precursor Acute Lymphoblastic Leukemia Patients: Association with MRD Status and Patient Outcome. Cancers (Basel) 2022; 14:cancers14133088. [PMID: 35804860 PMCID: PMC9265080 DOI: 10.3390/cancers14133088] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/16/2022] [Accepted: 06/16/2022] [Indexed: 12/10/2022] Open
Abstract
For the last two decades, measurable residual disease (MRD) has become one of the most powerful independent prognostic factors in B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, the effect of therapy on the bone marrow (BM) microenvironment and its potential relationship with the MRD status and disease free survival (DFS) still remain to be investigated. Here we analyzed the distribution of mesenchymal stem cells (MSC) and endothelial cells (EC) in the BM of treated BCP-ALL patients, and its relationship with the BM MRD status and patient outcome. For this purpose, the BM MRD status and EC/MSC regeneration profile were analyzed by multiparameter flow cytometry (MFC) in 16 control BM (10 children; 6 adults) and 1204 BM samples from 347 children and 100 adult BCP-ALL patients studied at diagnosis (129 children; 100 adults) and follow-up (824 childhood samples; 151 adult samples). Patients were grouped into a discovery cohort (116 pediatric BCP-ALL patients; 338 samples) and two validation cohorts (74 pediatric BCP-ALL, 211 samples; and 74 adult BCP-ALL patients; 134 samples). Stromal cells (i.e., EC and MSC) were detected at relatively low frequencies in all control BM (16/16; 100%) and in most BCP-ALL follow-up samples (874/975; 90%), while they were undetected in BCP-ALL BM at diagnosis. In control BM samples, the overall percentage of EC plus MSC was higher in children than adults (p = 0.011), but with a similar EC/MSC ratio in both groups. According to the MRD status similar frequencies of both types of BM stromal cells were detected in BCP-ALL BM studied at different time points during the follow-up. Univariate analysis (including all relevant prognostic factors together with the percentage of stromal cells) performed in the discovery cohort was used to select covariates for a multivariate Cox regression model for predicting patient DFS. Of note, an increased percentage of EC (>32%) within the BCP-ALL BM stromal cell compartment at day +78 of therapy emerged as an independent unfavorable prognostic factor for DFS in childhood BCP-ALL in the discovery cohort—hazard ratio (95% confidence interval) of 2.50 (1−9.66); p = 0.05—together with the BM MRD status (p = 0.031). Further investigation of the predictive value of the combination of these two variables (%EC within stromal cells and MRD status at day +78) allowed classification of BCP-ALL into three risk groups with median DFS of: 3.9, 3.1 and 1.1 years, respectively (p = 0.001). These results were confirmed in two validation cohorts of childhood BCP-ALL (n = 74) (p = 0.001) and adult BCP-ALL (n = 40) (p = 0.004) treated at different centers. In summary, our findings suggest that an imbalanced EC/MSC ratio in BM at day +78 of therapy is associated with a shorter DFS of BCP-ALL patients, independently of their MRD status. Further prospective studies are needed to better understand the pathogenic mechanisms involved.
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9
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Gozzetti A, Pacelli P, Raspadori D, Bestoso E, Tocci D, Sicuranza A, Bocchia M. Long-term CR Multiple Myeloma Patients Show Cured or MGUS-like Minimal Residual Disease Pattern by Next Generation Flow. Rev Recent Clin Trials 2022; 17:92-96. [PMID: 35578845 DOI: 10.2174/1574887117666220516145628] [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: 10/22/2022] [Revised: 02/20/2022] [Accepted: 03/18/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND In the era of novel agents, many multiple myeloma patients can achieve a complete remission, but most of them relapse, and minimal residual disease detection can play a crucial role. Next-generation flow (NGF) can detect monoclonal plasma cells with a sensitivity of 10-6. Little is known about long-term remission patients (> 2 years) and in particular, if more sensitive techniques such as NGF can still detect minimal disease in those patients. OBJECTIVE Aim of the study was to analyze patients with MM in response to NGF at > 2 years of sustained remission after several treatments. METHODS MRD was studied by NGF in bone marrow aspirates according to Euroflow Consortium indications. RESULTS 62 patients with sustained CR at >2 years were studied, MRD+ status was detected at a threshold cut-off of 10-6 in 32/62 (52%); 4/15 (27%) patients were MRD positive at >5 years of remission and they displayed a prevalence of normal vs abnormal monoclonal plasma cell immune-phenotype (MGUS-like). CONCLUSION NGF is a powerful technique to detect MRD. Myeloma patients in prolonged sustained complete remission can show in high percentage an MRD negative status or MGUS like.
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Affiliation(s)
- Alessandro Gozzetti
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
| | - Paola Pacelli
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
| | - Donatella Raspadori
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
| | - Elena Bestoso
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
| | - Dania Tocci
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
| | - Anna Sicuranza
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
| | - Monica Bocchia
- Hematology, University of Siena, Azienda Ospedaliera Universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
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10
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Sammartano V, Antonioli E, Buda G, Ciofini S, Candi V, Pengue L, Del Giudice ML, Attucci I, Bacchiarri F, Occhini U, Pirrotta MT, Perfetto F, Bocchia M, Gozzetti A. Daratumumab in AL Amyloidosis: A Real-Life Experience of the “RTM” (Regional Tuscan Myeloma Network). J Pers Med 2022; 12:jpm12030484. [PMID: 35330483 PMCID: PMC8952680 DOI: 10.3390/jpm12030484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/11/2022] [Accepted: 03/15/2022] [Indexed: 01/10/2023] Open
Abstract
Systemic amyloidosis arises from monoclonal CD38+ plasma cells that produce misfolded immunoglobulin light chains, which form amyloid fibrils that are deposited into different tissues, leading to organ damage. Daratumumab is a human IgG/k monoclonal antibody that targets CD38, a glycoprotein uniformly expressed on human plasma cells. Daratumumab has been utilized in recent years with unprecedented responses in multiple myeloma. In patients with relapsed or refractory AL amyloidosis, daratumumab has shown promising efficacy in terms of hematologic responses and improvement in organ function. Here, we report real-life treatment with Daratumumab in 33 AL amyloidosis patients treated within the Regional Tuscan Myeloma network at 5 centers with associated MGUS or SMM (n = 15) or symptomatic MM (n = 18). Patients were treated at relapsed/refractory disease stages (n = 29) with a median of one previous line of therapy or at diagnosis (n = 4). Daratumumab showed good efficacy, representing 60% of good hematological responses and 50% of organ responses in a real-life population of patients with an acceptable toxicity profile.
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Affiliation(s)
- Vincenzo Sammartano
- Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy; (V.S.); (S.C.); (F.B.); (M.B.)
| | - Elisabetta Antonioli
- Hematology, Careggi Hospital, University of Florence, 50134 Florence, Italy; (E.A.); (L.P.); (I.A.)
| | - Gabriele Buda
- Department of Clinical and Experimental Medicine, Hematology, University of Pisa, 56126 Pisa, Italy; (G.B.); (M.L.D.G.)
| | - Sara Ciofini
- Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy; (V.S.); (S.C.); (F.B.); (M.B.)
| | - Veronica Candi
- UOS Ematologia, San Donato Hospital, ASL8, 52100 Arezzo, Italy; (V.C.); (U.O.)
| | - Ludovica Pengue
- Hematology, Careggi Hospital, University of Florence, 50134 Florence, Italy; (E.A.); (L.P.); (I.A.)
| | - Maria Livia Del Giudice
- Department of Clinical and Experimental Medicine, Hematology, University of Pisa, 56126 Pisa, Italy; (G.B.); (M.L.D.G.)
| | - Irene Attucci
- Hematology, Careggi Hospital, University of Florence, 50134 Florence, Italy; (E.A.); (L.P.); (I.A.)
| | - Francesca Bacchiarri
- Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy; (V.S.); (S.C.); (F.B.); (M.B.)
| | - Ubaldo Occhini
- UOS Ematologia, San Donato Hospital, ASL8, 52100 Arezzo, Italy; (V.C.); (U.O.)
| | | | - Federico Perfetto
- IV Internal Medicine Division, Careggi Hospital, University of Florence, 50134 Florence, Italy;
| | - Monica Bocchia
- Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy; (V.S.); (S.C.); (F.B.); (M.B.)
| | - Alessandro Gozzetti
- Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy; (V.S.); (S.C.); (F.B.); (M.B.)
- Correspondence: ; Tel.: +39-0577-586784
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11
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Technical Aspects of Flow Cytometry-based Measurable Residual Disease Quantification in Acute Myeloid Leukemia: Experience of the European LeukemiaNet MRD Working Party. Hemasphere 2022; 6:e676. [PMID: 34964040 PMCID: PMC8701786 DOI: 10.1097/hs9.0000000000000676] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/23/2021] [Indexed: 12/12/2022] Open
Abstract
Measurable residual disease (MRD) quantified by multiparameter flow cytometry (MFC) is a strong and independent prognostic factor in acute myeloid leukemia (AML). However, several technical factors may affect the final read-out of the assay. Experts from the MRD Working Party of the European LeukemiaNet evaluated which aspects are crucial for accurate MFC-MRD measurement. Here, we report on the agreement, obtained via a combination of a cross-sectional questionnaire, live discussions, and a Delphi poll. The recommendations consist of several key issues from bone marrow sampling to final laboratory reporting to ensure quality and reproducibility of results. Furthermore, the experiences were tested by comparing two 8-color MRD panels in multiple laboratories. The results presented here underscore the feasibility and the utility of a harmonized theoretical and practical MFC-MRD assessment and are a next step toward further harmonization.
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12
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Shaikh MS, Ali B, Janjua M, Akbar A, Haider SA, Moiz B, Raheem A, Baird JK, Beg MA. Plasmodium in the bone marrow: case series from a hospital in Pakistan, 2007-2015. Malar J 2021; 20:254. [PMID: 34103036 PMCID: PMC8186108 DOI: 10.1186/s12936-021-03792-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 05/29/2021] [Indexed: 12/12/2022] Open
Abstract
Background Malaria is a life-threatening, multisystem disease caused by the plasmodial parasite with a global incidence of approximately 229 million annually. The parasites are known to have unique and crucial interactions with various body tissues during its life cycle, notably the liver, spleen, and recent work has shown the bone marrow to be a reservoir of infection. Methods This study is a case series of patients in whom examination of bone marrow revealed malarial parasites. A retrospective record review of 35 parasite-positive bone marrow specimens examined at Aga Khan University Hospital (AKUH), Karachi, Pakistan, over the years 2007 to 2015 was conducted. Bone marrow aspirates were collected as per International Council for Standardization in Haematology (ICSH) guidelines. Results The median age of patients was 22 years (range 1–75), and 60 % (n = 21) were male. 22 patients had evidence of Plasmodium falciparum, 12 had evidence of Plasmodium vivax and 1 patient had a mixed infection. Gametocytes and trophozoites were the most common stages identified on both peripheral blood and bone marrow examinations. Indications for bone marrow examination included fever of unknown origin and the workup of cytopenias and malignancies. Conclusions The incidental finding of Plasmodium in samples of bone marrow suggests the reticuloendothelial system may be regularly harbour these parasites, be the infection acute or chronic in character.
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Affiliation(s)
- Muhammad Shariq Shaikh
- Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Stadium Road, 74800, Karachi, Pakistan
| | - Basim Ali
- Aga Khan University, Karachi, Pakistan
| | | | | | | | - Bushra Moiz
- Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Stadium Road, 74800, Karachi, Pakistan
| | - Ahmed Raheem
- Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Stadium Road, 74800, Karachi, Pakistan
| | - John Kevin Baird
- Eijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mohammad Asim Beg
- Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Stadium Road, 74800, Karachi, Pakistan.
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13
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Mendonça de Pontes R, Flores-Montero J, Sanoja-Flores L, Puig N, Pessoa de Magalhães RJ, Corral-Mateos A, Salgado AB, García-Sánchez O, Pérez-Morán J, Mateos MV, Burgos L, Paiva B, te Marvelde J, van der Velden VHJ, Aguilar C, Bárez A, García-Mateo A, Labrador J, Leoz P, Aguilera-Sanz C, Durie B, van Dongen JJM, Maiolino A, Sobral da Costa E, Orfao A. B-Cell Regeneration Profile and Minimal Residual Disease Status in Bone Marrow of Treated Multiple Myeloma Patients. Cancers (Basel) 2021; 13:cancers13071704. [PMID: 33916787 PMCID: PMC8038337 DOI: 10.3390/cancers13071704] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/27/2021] [Accepted: 03/29/2021] [Indexed: 11/16/2022] Open
Abstract
B-cell regeneration during therapy has been considered as a strong prognostic factor in multiple myeloma (MM). However, the effects of therapy and hemodilution in bone marrow (BM) B-cell recovery have not been systematically evaluated during follow-up. MM (n = 177) and adult (≥50y) healthy donor (HD; n = 14) BM samples were studied by next-generation flow (NGF) to simultaneously assess measurable residual disease (MRD) and residual normal B-cell populations. BM hemodilution was detected in 41 out of 177 (23%) patient samples, leading to lower total B-cell, B-cell precursor (BCP) and normal plasma cell (nPC) counts. Among MM BM, decreased percentages (vs. HD) of BCP, transitional/naïve B-cell (TBC/NBC) and nPC populations were observed at diagnosis. BM BCP increased after induction therapy, whereas TBC/NBC counts remained abnormally low. At day+100 postautologous stem cell transplantation, a greater increase in BCP with recovered TBC/NBC cell numbers but persistently low memory B-cell and nPC counts were found. At the end of therapy, complete response (CR) BM samples showed higher CD19- nPC counts vs. non-CR specimens. MRD positivity was associated with higher BCP and nPC percentages. Hemodilution showed a negative impact on BM B-cell distribution. Different BM B-cell regeneration profiles are present in MM at diagnosis and after therapy with no significant association with patient outcome.
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Affiliation(s)
- Robéria Mendonça de Pontes
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
- Cytometry Service, Institute of Paediatrics and Puericultura Martagão Gesteira (IPPMG), Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-912, Brazil
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (J.F.-M.); (A.C.-M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
| | - Luzalba Sanoja-Flores
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Institute of Biomedicine of Seville, Department of Hematology, University Hospital Virgen del Rocío of the Consejo Superior de Investigaciones Científicas (CSIC), University of Seville, 41013 Seville, Spain
| | - Noemi Puig
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - Roberto J. Pessoa de Magalhães
- Department of Internal Medicine, University Hospital Clementino Fraga Filho, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil;
| | - Alba Corral-Mateos
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (J.F.-M.); (A.C.-M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
| | - Anna Beatriz Salgado
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
| | - Omar García-Sánchez
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - José Pérez-Morán
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - Maria-Victoria Mateos
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - Leire Burgos
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Bruno Paiva
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Jeroen te Marvelde
- Department of Immunology, Erasmus MC, (EMC) University Medical Center Rotterdam, 3015 GA Rotterdam, The Netherlands; (J.t.M.); (V.H.J.v.d.V.)
| | - Vincent H. J. van der Velden
- Department of Immunology, Erasmus MC, (EMC) University Medical Center Rotterdam, 3015 GA Rotterdam, The Netherlands; (J.t.M.); (V.H.J.v.d.V.)
| | - Carlos Aguilar
- Department of Hematology, Hospital General de Santa Bárbara, 42005 Soria, Spain;
| | - Abelardo Bárez
- Department of Hematology, Complejo Asistencial de Ávila, 05071 Ávila, Spain;
| | | | - Jorge Labrador
- Department of Hematology and Research Unit, Hospital Universitario de Burgos, 09006 Burgos, Spain;
| | - Pilar Leoz
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | | | - Brian Durie
- Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, CA 90048, USA;
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Correspondence: (J.J.M.v.D.); (A.O.); Tel.: +31-71-526-5128 (J.J.M.v.D.); +34-923-294811 (A.O.)
| | - Angelo Maiolino
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
- Department of Internal Medicine, University Hospital Clementino Fraga Filho, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil;
- Americas Centro de Oncologia Integrado, Rio de Janeiro 22290-030, Brazil
| | - Elaine Sobral da Costa
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
- Cytometry Service, Institute of Paediatrics and Puericultura Martagão Gesteira (IPPMG), Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-912, Brazil
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (J.F.-M.); (A.C.-M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Correspondence: (J.J.M.v.D.); (A.O.); Tel.: +31-71-526-5128 (J.J.M.v.D.); +34-923-294811 (A.O.)
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14
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Diamond BT, Rustad E, Maclachlan K, Thoren K, Ho C, Roshal M, Ulaner GA, Landgren CO. Defining the undetectable: The current landscape of minimal residual disease assessment in multiple myeloma and goals for future clarity. Blood Rev 2021; 46:100732. [PMID: 32771227 PMCID: PMC9928431 DOI: 10.1016/j.blre.2020.100732] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/05/2020] [Accepted: 07/06/2020] [Indexed: 01/19/2023]
Abstract
Multiple Myeloma, the second most prevalent hematologic malignancy, yet lacks an established curative therapy. However, overall response rate to modern four-drug regimens approaches 100%. Major efforts have thus focused on the measurement of minute quantities of residual disease (minimal residual disease or MRD) for prognostic metrics and therapeutic response evaluation. Currently, MRD is assessed by flow cytometry or by next generation sequencing to track tumor-specific immunoglobulin V(D)J rearrangements. These bone marrow-based methods can reach sensitivity thresholds of the identification of one neoplastic cell in 1,000,000 (10-6). New technologies are being developed to be used alone or in conjunction with established methods, including peripheral blood-based assays, mass spectrometry, and targeted imaging. Data is also building for MRD as a surrogate endpoint for overall survival. Here, we will address the currently utilized MRD assays, challenges in validation across labs and clinical trials, techniques in development, and future directions for successful clinical application of MRD in multiple myeloma.
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Affiliation(s)
| | | | | | | | - Caleb Ho
- Memorial Sloan Kettering Cancer Center, USA
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15
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Boggs NA, Rao VK. The Role of Bone Marrow Evaluation in Clinical Allergy and Immunology Practice: When and Why. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2020; 8:3356-3362. [PMID: 32531483 PMCID: PMC10996386 DOI: 10.1016/j.jaip.2020.05.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 05/24/2020] [Accepted: 05/27/2020] [Indexed: 11/21/2022]
Abstract
Allergists and immunologists rely on other specialists for higher risk procedures such as biopsies of the lung or gastrointestinal tract. However, we perform and interpret a handful of procedures ourselves. Training programs have historically required competency for prescribing immunoglobulin infusions, patch testing, rhino laryngoscopy, lung function testing, and provocation testing for airway hyperreactivity even though other specialists often perform them. Bone marrow aspirations and biopsies are not included in fellowship training assessments despite a significant number of marrow evaluations being requested by allergists and immunologists. For example, nearly 1 marrow assessment per month has been requested over 2 years for patients in the Allergy Immunology Clinic at Walter Reed National Military Medical Center. Marrow assessments are often required for diagnosis, monitoring, and treatment-related toxicities. Interpretive and procedural competency would benefit the field given the range of diseases in clinical immunology practice that require marrow assessment. We have generated a comprehensive list of the major conditions that might require bone marrow assessments in any Allergy and Immunology practice. We then summarize the specific tests that must be ordered and show how to determine sample quality. Finally, some providers may desire procedural competency and for those individuals we discuss tips for the procedure.
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Affiliation(s)
- Nathan A Boggs
- Uniformed Services University of the Health Sciences, Bethesda, Md.
| | - V Koneti Rao
- National Institutes of Health, National Institute of Allergy and Infectious Diseases, Bethesda, Md
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16
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Kim M, Park CJ. Minimal Residual Disease Detection in Pediatric Acute Lymphoblastic Leukemia. CLINICAL PEDIATRIC HEMATOLOGY-ONCOLOGY 2020. [DOI: 10.15264/cpho.2020.27.2.87] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Miyoung Kim
- Department of Laboratory Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Hallym University College of Medicine, Anyang, Korea
| | - Chan-Jeoung Park
- Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea
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17
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Gozzetti A, Raspadori D, Bacchiarri F, Sicuranza A, Pacelli P, Ferrigno I, Tocci D, Bocchia M. Minimal Residual Disease in Multiple Myeloma: State of the Art and Applications in Clinical Practice. J Pers Med 2020; 10:jpm10030120. [PMID: 32927719 PMCID: PMC7565263 DOI: 10.3390/jpm10030120] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 09/03/2020] [Accepted: 09/08/2020] [Indexed: 12/14/2022] Open
Abstract
Novel drugs have revolutionized multiple myeloma therapy in the last 20 years, with median survival that has doubled to up to 8–10 years. The introduction of therapeutic strategies, such as consolidation and maintenance after autologous stem cell transplants, has also ameliorated clinical results. The goal of modern therapies is becoming not only complete remission, but also the deepest possible remission. In this context, the evaluation of minimal residual disease by techniques such as next-generation sequencing (NGS) and next-generation flow (NGF) is becoming part of all new clinical trials that test drug efficacy. This review focuses on minimal residual disease approaches in clinical trials, with particular attention to real-world practices.
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18
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Gener G, Espasa A, Raya M, Vergara S, Juncà J, Sorigue M. Brief communication: Distribution of bone marrow cell subsets and hemodilution in patients with acute leukemia. Int J Lab Hematol 2020; 42:e192-e195. [PMID: 32449827 DOI: 10.1111/ijlh.13243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/25/2020] [Accepted: 05/04/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Georgina Gener
- Hematology Laboratory, Institut Català d'Oncologia, Functional cytomics-IJC, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Andrea Espasa
- Hematology Laboratory, Institut Català d'Oncologia, Functional cytomics-IJC, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Minerva Raya
- Hematology Laboratory, Institut Català d'Oncologia, Functional cytomics-IJC, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Sara Vergara
- Hematology Laboratory, Institut Català d'Oncologia, Functional cytomics-IJC, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Jordi Juncà
- Hematology Laboratory, Institut Català d'Oncologia, Functional cytomics-IJC, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Marc Sorigue
- Hematology Laboratory, Institut Català d'Oncologia, Functional cytomics-IJC, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
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19
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Orfao A, Matarraz S, Pérez-Andrés M, Almeida J, Teodosio C, Berkowska MA, van Dongen JJ. Immunophenotypic dissection of normal hematopoiesis. J Immunol Methods 2019; 475:112684. [DOI: 10.1016/j.jim.2019.112684] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 10/09/2019] [Accepted: 10/10/2019] [Indexed: 10/25/2022]
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20
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Austin M, O'Connor S, Morilla R, Pawlyn C, Kaiser MF, Boyd KD. An analysis of the false negative rate of minimal residual disease measurement by multiparameter flow cytometry in multiple myeloma. Int J Lab Hematol 2019; 42:e65-e67. [PMID: 31539199 DOI: 10.1111/ijlh.13112] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/30/2019] [Accepted: 08/27/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Michael Austin
- Haemato-Oncology Department, The Royal Marsden Hospital, Sutton, UK
| | - Simon O'Connor
- Histopathology Department, The Royal Marsden Hospital, Sutton, UK
| | - Ricardo Morilla
- Immunophenotyping Laboratory, The Royal Marsden Hospital, Sutton, UK
| | - Charlotte Pawlyn
- Haemato-Oncology Department, The Royal Marsden Hospital, Sutton, UK.,Division of Molecular Pathology, The Institute of Cancer Research, Sutton, UK
| | - Martin F Kaiser
- Haemato-Oncology Department, The Royal Marsden Hospital, Sutton, UK.,Division of Molecular Pathology, The Institute of Cancer Research, Sutton, UK
| | - Kevin D Boyd
- Haemato-Oncology Department, The Royal Marsden Hospital, Sutton, UK.,Division of Molecular Pathology, The Institute of Cancer Research, Sutton, UK
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21
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Schuurhuis GJ, Ossenkoppele GJ, Kelder A, Cloos J. Measurable residual disease in acute myeloid leukemia using flow cytometry: approaches for harmonization/standardization. Expert Rev Hematol 2019; 11:921-935. [PMID: 30466339 DOI: 10.1080/17474086.2018.1549479] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: Measurable residual disease (MRD) in acute myeloid leukemia (AML) is a rapidly evolving area with many institutes embarking on it, both in academic and pharmaceutical settings. However, there is a multitude of approaches to design, perform, and report flow cytometric MRD. Together with the long-term experience needed, this makes flow cytometric MRD in AML nonstandardized and time-consuming. Areas covered: This paper briefly summarizes critical issues, like sample preparation and transport, markers and fluorochromes of choice, but in particular focuses on the main issues, which includes specificity and sensitivity, hereby providing a new model that may circumvent the main disadvantages of the present approaches. New approaches that may add to the value of flow cytometric MRD includes assessment of leukemia stem cells, MRD in peripheral blood, and approaches to use multidimensional image analysis. Expert commentary: MRD in AML requires standardization/harmonization on many aspects, for which the present paper offers possible guidelines.
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Affiliation(s)
- Gerrit J Schuurhuis
- a Department of Hematology , VU University Medical Center , Amsterdam , Netherlands
| | - Gert J Ossenkoppele
- a Department of Hematology , VU University Medical Center , Amsterdam , Netherlands
| | - Angèle Kelder
- a Department of Hematology , VU University Medical Center , Amsterdam , Netherlands
| | - Jacqueline Cloos
- a Department of Hematology , VU University Medical Center , Amsterdam , Netherlands
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22
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Rustad EH, Hultcrantz M, Yellapantula VD, Akhlaghi T, Ho C, Arcila ME, Roshal M, Patel A, Chen D, Devlin SM, Jacobsen A, Huang Y, Miller JE, Papaemmanuil E, Landgren O. Baseline identification of clonal V(D)J sequences for DNA-based minimal residual disease detection in multiple myeloma. PLoS One 2019; 14:e0211600. [PMID: 30901326 PMCID: PMC6430394 DOI: 10.1371/journal.pone.0211600] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 01/16/2019] [Indexed: 12/21/2022] Open
Abstract
Tracking of clonal immunoglobulin V(D)J rearrangement sequences by next generation sequencing is highly sensitive for minimal residual disease in multiple myeloma. However, previous studies have found variable rates of V(D)J sequence identification at baseline, which could limit tracking. Here, we aimed to define the factors influencing the identification of clonal V(D)J sequences. Bone marrow mononuclear cells from 177 myeloma patients underwent V(D)J sequencing by the LymphoTrack assays (Invivoscribe). As a molecular control for tumor cell content, we sequenced the samples using our in-house myeloma panel myTYPE. V(D)J sequence clonality was identified in 81% of samples overall, as compared with 95% in samples where tumor-derived DNA was detectable by myTYPE. Clonality was detected more frequently in patients with lambda-restricted disease, mainly because of increased detection of kappa gene rearrangements. Finally, we describe how the tumor cell content of bone marrow aspirates decrease gradually in sequential pulls because of hemodilution: From the initial pull used for aspirate smear, to the final pull that is commonly used for research. In conclusion, baseline clonality detection rates of 95% or higher are feasible in multiple myeloma. Optimal performance depends on the use of good quality aspirates and/or subsequent tumor cell enrichment.
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Affiliation(s)
- Even H. Rustad
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Venkata D. Yellapantula
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Theresia Akhlaghi
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Caleb Ho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Maria E. Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Akshar Patel
- Center for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Denise Chen
- Marie-Josee and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Sean M. Devlin
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | | | - Ying Huang
- Invivoscribe, Inc, San Diego, CA, United States of America
| | | | - Elli Papaemmanuil
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
- * E-mail:
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23
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Schuurhuis GJ, Heuser M, Freeman S, Béné MC, Buccisano F, Cloos J, Grimwade D, Haferlach T, Hills RK, Hourigan CS, Jorgensen JL, Kern W, Lacombe F, Maurillo L, Preudhomme C, van der Reijden BA, Thiede C, Venditti A, Vyas P, Wood BL, Walter RB, Döhner K, Roboz GJ, Ossenkoppele GJ. Minimal/measurable residual disease in AML: a consensus document from the European LeukemiaNet MRD Working Party. Blood 2018; 131:1275-1291. [PMID: 29330221 PMCID: PMC5865231 DOI: 10.1182/blood-2017-09-801498] [Citation(s) in RCA: 738] [Impact Index Per Article: 123.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 01/03/2018] [Indexed: 12/13/2022] Open
Abstract
Measurable residual disease (MRD; previously termed minimal residual disease) is an independent, postdiagnosis, prognostic indicator in acute myeloid leukemia (AML) that is important for risk stratification and treatment planning, in conjunction with other well-established clinical, cytogenetic, and molecular data assessed at diagnosis. MRD can be evaluated using a variety of multiparameter flow cytometry and molecular protocols, but, to date, these approaches have not been qualitatively or quantitatively standardized, making their use in clinical practice challenging. The objective of this work was to identify key clinical and scientific issues in the measurement and application of MRD in AML, to achieve consensus on these issues, and to provide guidelines for the current and future use of MRD in clinical practice. The work was accomplished over 2 years, during 4 meetings by a specially designated MRD Working Party of the European LeukemiaNet. The group included 24 faculty with expertise in AML hematopathology, molecular diagnostics, clinical trials, and clinical medicine, from 19 institutions in Europe and the United States.
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Affiliation(s)
- Gerrit J Schuurhuis
- Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands
| | - Michael Heuser
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Sylvie Freeman
- Department of Clinical Immunology, Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | | | - Francesco Buccisano
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Jacqueline Cloos
- Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands
- Department of Pediatric Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - David Grimwade
- Division of Genetics & Molecular Medicine, King's College, London, United Kingdom
| | | | - Robert K Hills
- Centre for Trials Research, Cardiff University, Cardiff, United Kingdom
| | | | - Jeffrey L Jorgensen
- Division of Pathology/Laboratory Medicine, Department of Hematopathology, MD Anderson Cancer Center, Houston, TX
| | | | - Francis Lacombe
- Flow Cytometry Platform, University Hospital, Bordeaux, France
| | - Luca Maurillo
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Claude Preudhomme
- Center of Pathology, Laboratory of Hematology, University Hospital of Lille, Lille, France
| | - Bert A van der Reijden
- Department of Laboratory Medicine, Laboratory of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christian Thiede
- Universitätsklinikum Carl Gustav Garus an der Technischen Universität Dresden, Dresden, Germany
| | - Adriano Venditti
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Paresh Vyas
- Medical Research Council Molecular Haematology Unit, Oxford Centre for Haematology, University of Oxford and Oxford University Hospitals National Health Service Trust, Oxford, United Kingdom
| | - Brent L Wood
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Laboratory Medicine and
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Hematology, Department of Medicine, University of Washington, Seattle, WA
| | - Konstanze Döhner
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany; and
| | - Gail J Roboz
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - Gert J Ossenkoppele
- Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands
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24
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Lorand-Metze I, Longhini AL, Oliveira-Duarte G, Correia RP, Santos-Silva MC, Yamamoto M, Sandes AF, Oliveira AF, Souto EX, Ikoma MRV, Pereira-Cunha FG, Beltrame M, Metze K. Normal variation of bone marrow B-cell precursors according to age - reference ranges for studies in myelodysplastic syndromes in Brazil. CYTOMETRY PART B-CLINICAL CYTOMETRY 2017; 94:644-650. [DOI: 10.1002/cyto.b.21604] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 11/28/2017] [Accepted: 11/29/2017] [Indexed: 12/21/2022]
Affiliation(s)
- I. Lorand-Metze
- Hematology - Hemotherapy Center, University of Campinas, Campinas; São Paulo Brazil
| | - A. L. Longhini
- Hematology - Hemotherapy Center, University of Campinas, Campinas; São Paulo Brazil
| | - G. Oliveira-Duarte
- Hematology - Hemotherapy Center, University of Campinas, Campinas; São Paulo Brazil
| | - R. P. Correia
- Laboratory of Hematology, Hospital Albert Einstein; São Paulo Brazil
| | - M. C. Santos-Silva
- Laboratory of Experimental Oncology; Federal University of Santa Catarina; Florianópolis Brazil
| | - M. Yamamoto
- Department of Hematology; Federal University of São Paulo; São Paulo Brazil
| | - A. F. Sandes
- Laboratory of Hematology; Laboratórios Fleury; São Paulo Brazil
| | - A. F. Oliveira
- Laboratory of Hematology; Childrens' Cancer Hospital, Barretos Cancer Center; Barretos Brazil
| | - E. X. Souto
- Laboratory of Hematology; DASA; São Paulo Brazil
| | - M. R. V. Ikoma
- Laboratory of Cytometry; Hospital Amaral Carvalho; Jaú, São Paulo Brazil
| | | | - M. Beltrame
- Department of Hematology; Federal University of Paraná; Curitiba Brazil
| | - K. Metze
- Department of Pathology; University of Campinas; Campinas Brazil
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