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Tentori CA, Zhao LP, Tinterri B, Strange KE, Zoldan K, Dimopoulos K, Feng X, Riva E, Lim B, Simoni Y, Murthy V, Hayes MJ, Poloni A, Padron E, Cardoso BA, Cross M, Winter S, Santaolalla A, Patel BA, Groarke EM, Wiseman DH, Jones K, Jamieson L, Manogaran C, Daver N, Gallur L, Ingram W, Ferrell PB, Sockel K, Dulphy N, Chapuis N, Kubasch AS, Olsnes AM, Kulasekararaj A, De Lavellade H, Kern W, Van Hemelrijck M, Bonnet D, Westers TM, Freeman S, Oelschlaegel U, Valcarcel D, Raddi MG, Grønbæk K, Fontenay M, Loghavi S, Santini V, Almeida AM, Irish JM, Sallman DA, Young NS, van de Loosdrecht AA, Adès L, Della Porta MG, Cargo C, Platzbecker U, Kordasti S. Immune-monitoring of myelodysplastic neoplasms: Recommendations from the i4MDS consortium. Hemasphere 2024; 8:e64. [PMID: 38756352 PMCID: PMC11096644 DOI: 10.1002/hem3.64] [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: 01/31/2024] [Accepted: 03/03/2024] [Indexed: 05/18/2024] Open
Abstract
Advancements in comprehending myelodysplastic neoplasms (MDS) have unfolded significantly in recent years, elucidating a myriad of cellular and molecular underpinnings integral to disease progression. While molecular inclusions into prognostic models have substantively advanced risk stratification, recent revelations have emphasized the pivotal role of immune dysregulation within the bone marrow milieu during MDS evolution. Nonetheless, immunotherapy for MDS has not experienced breakthroughs seen in other malignancies, partly attributable to the absence of an immune classification that could stratify patients toward optimally targeted immunotherapeutic approaches. A pivotal obstacle to establishing "immune classes" among MDS patients is the absence of validated accepted immune panels suitable for routine application in clinical laboratories. In response, we formed International Integrative Innovative Immunology for MDS (i4MDS), a consortium of multidisciplinary experts, and created the following recommendations for standardized methodologies to monitor immune responses in MDS. A central goal of i4MDS is the development of an immune score that could be incorporated into current clinical risk stratification models. This position paper first consolidates current knowledge on MDS immunology. Subsequently, in collaboration with clinical and laboratory specialists, we introduce flow cytometry panels and cytokine assays, meticulously devised for clinical laboratories, aiming to monitor the immune status of MDS patients, evaluating both immune fitness and identifying potential immune "risk factors." By amalgamating this immunological characterization data and molecular data, we aim to enhance patient stratification, identify predictive markers for treatment responsiveness, and accelerate the development of systems immunology tools and innovative immunotherapies.
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Affiliation(s)
- Cristina A. Tentori
- Humanitas Clinical and Research Center–IRCCS & Department of Biomedical SciencesHumanitas UniversityMilanItaly
- Comprehensive Cancer Centre, King's CollegeLondonUK
| | - Lin P. Zhao
- Hématologie seniorsHôpital Saint‐Louis, Assistance Publique des Hôpitaux de Paris (APHP)ParisFrance
- INSERM UMR_S1160, Institut de Recherche Saint LouisUniversité Paris CitéParisFrance
| | - Benedetta Tinterri
- Humanitas Clinical and Research Center–IRCCS & Department of Biomedical SciencesHumanitas UniversityMilanItaly
| | - Kathryn E. Strange
- Comprehensive Cancer Centre, King's CollegeLondonUK
- Research Group of Molecular ImmunologyFrancis Crick InstituteLondonUK
| | - Katharina Zoldan
- Department of Medicine 1, Haematology, Cellular Therapy, Hemostaseology and Infectious DiseasesUniversity Medical Center LeipzigLeipzigGermany
| | - Konstantinos Dimopoulos
- Department of Clinical BiochemistryBispebjerg and Frederiksberg HospitalCopenhagenDenmark
- Department of Pathology, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Xingmin Feng
- Hematology Branch, National Heart, Lung and Blood InstituteBethesdaMarylandUSA
| | - Elena Riva
- Humanitas Clinical and Research Center–IRCCS & Department of Biomedical SciencesHumanitas UniversityMilanItaly
| | | | - Yannick Simoni
- Université Paris Cité, CNRS, INSERM, Institut CochinParisFrance
| | - Vidhya Murthy
- Centre for Clinical Haematology, University Hospitals of BirminghamBirminghamUK
| | - Madeline J. Hayes
- Cell & Developmental BiologyVanderbilt University School of MedicineNashvilleTennesseeUSA
- Pathology, Microbiology and Immunology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Antonella Poloni
- Department of Clinical and Molecular SciencesUniversità Politecnica delle MarcheAnconaItaly
| | - Eric Padron
- Moffitt Cancer Center, Malignant Hematology DepartmentTampaUSA
| | - Bruno A. Cardoso
- Universidade Católica PortuguesaFaculdade de MedicinaPortugal
- Universidade Católica Portuguesa, Centro de Investigação Interdisciplinar em SaúdePortugal
| | - Michael Cross
- Department of Medicine 1, Haematology, Cellular Therapy, Hemostaseology and Infectious DiseasesUniversity Medical Center LeipzigLeipzigGermany
| | - Susann Winter
- Medical Clinic I, University Hospital Carl Gustav Carus, TU DresdenDresdenGermany
| | | | - Bhavisha A. Patel
- Hematology Branch, National Heart, Lung and Blood InstituteBethesdaMarylandUSA
| | - Emma M. Groarke
- Hematology Branch, National Heart, Lung and Blood InstituteBethesdaMarylandUSA
| | - Daniel H. Wiseman
- Division of Cancer SciencesThe University of ManchesterManchesterUK
- The Christie NHS Foundation TrustManchesterUK
| | - Katy Jones
- Immunophenotyping Laboratory (Synnovis Analytics LLP)Southeast Haematological Malignancy Diagnostic Service, King's College HospitalLondonUK
| | - Lauren Jamieson
- Immunophenotyping Laboratory (Synnovis Analytics LLP)Southeast Haematological Malignancy Diagnostic Service, King's College HospitalLondonUK
| | - Charles Manogaran
- Immunophenotyping Laboratory (Synnovis Analytics LLP)Southeast Haematological Malignancy Diagnostic Service, King's College HospitalLondonUK
| | - Naval Daver
- University of TexasMD Anderson Cancer CenterHouston, TexasUSA
| | - Laura Gallur
- Hematology Department, Vall d'hebron University Hospital, Vall d'hebron Institut of Oncology (VHIO)Vall d'Hebron Barcelona Hospital CampusBarcelonaSpain
| | - Wendy Ingram
- Department of HaematologyUniversity Hospital of WalesCardiffUK
| | - P. Brent Ferrell
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Katja Sockel
- Medical Clinic I, University Hospital Carl Gustav Carus, TU DresdenDresdenGermany
| | - Nicolas Dulphy
- INSERM UMR_S1160, Institut de Recherche Saint LouisUniversité Paris CitéParisFrance
- Laboratoire d'Immunologie et d‘Histocompatibilité, Assistance Publique des Hôpitaux de Paris (APHP), Hôpital Saint‐LouisParisFrance
- Institut Carnot OPALE, Institut de Recherche Saint‐Louis, Hôpital Saint‐LouisParisFrance
| | - Nicolas Chapuis
- Université Paris Cité, CNRS, INSERM, Institut CochinParisFrance
- Assistance Publique‐Hôpitaux de Paris Centre, Hôpital CochinParisFrance
| | - Anne S. Kubasch
- Department of Medicine 1, Haematology, Cellular Therapy, Hemostaseology and Infectious DiseasesUniversity Medical Center LeipzigLeipzigGermany
| | - Astrid M. Olsnes
- Section for Hematology, Department of MedicineHaukeland University HospitalBergenNorway
- Department of Clinical ScienceFaculty of Medicine, University of BergenBergenNorway
| | | | | | | | | | - Dominique Bonnet
- Hematopoietic Stem Cell LaboratoryFrancis Crick InstituteLondonUK
| | - Theresia M. Westers
- Department of Hematology, Cancer Center AmsterdamAmsterdam University Medical Centers, location VU University Medical CenterAmsterdamThe Netherlands
| | - Sylvie Freeman
- Institute of Immunology and ImmunotherapyUniversity of BirminghamBirminghamUK
| | - Uta Oelschlaegel
- Medical Clinic I, University Hospital Carl Gustav Carus, TU DresdenDresdenGermany
| | - David Valcarcel
- Hematology Department, Vall d'hebron University Hospital, Vall d'hebron Institut of Oncology (VHIO)Vall d'Hebron Barcelona Hospital CampusBarcelonaSpain
| | - Marco G. Raddi
- Myelodysplastic Syndrome Unit, Hematology DivisionAzienda Ospedaliero‐Universitaria Careggi, University of FlorenceFlorenceItaly
| | - Kirsten Grønbæk
- Department of Hematology, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
- Biotech Research and Innovation Center (BRIC)University of CopenhagenCopenhagenDenmark
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Michaela Fontenay
- Université Paris Cité, CNRS, INSERM, Institut CochinParisFrance
- Assistance Publique‐Hôpitaux de Paris Centre, Hôpital CochinParisFrance
| | - Sanam Loghavi
- University of TexasMD Anderson Cancer CenterHouston, TexasUSA
| | - Valeria Santini
- Myelodysplastic Syndrome Unit, Hematology DivisionAzienda Ospedaliero‐Universitaria Careggi, University of FlorenceFlorenceItaly
| | - Antonio M. Almeida
- Hematology DepartmentHospital da Luz LisboaLisboaPortugal
- DeaneryFaculdade de Medicina, UCPLisboaPortugal
| | - Jonathan M. Irish
- Cell & Developmental BiologyVanderbilt University School of MedicineNashvilleTennesseeUSA
- Pathology, Microbiology and Immunology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | | | - Neal S. Young
- Hematology Branch, National Heart, Lung and Blood InstituteBethesdaMarylandUSA
| | - Arjan A. van de Loosdrecht
- Department of Hematology, Cancer Center AmsterdamAmsterdam University Medical Centers, location VU University Medical CenterAmsterdamThe Netherlands
| | - Lionel Adès
- Hématologie seniorsHôpital Saint‐Louis, Assistance Publique des Hôpitaux de Paris (APHP)ParisFrance
- Université Paris Cité, CNRS, INSERM, Institut CochinParisFrance
| | - Matteo G. Della Porta
- Humanitas Clinical and Research Center–IRCCS & Department of Biomedical SciencesHumanitas UniversityMilanItaly
| | | | - Uwe Platzbecker
- Department of Medicine 1, Haematology, Cellular Therapy, Hemostaseology and Infectious DiseasesUniversity Medical Center LeipzigLeipzigGermany
| | - Shahram Kordasti
- Comprehensive Cancer Centre, King's CollegeLondonUK
- Department of Clinical and Molecular SciencesUniversità Politecnica delle MarcheAnconaItaly
- Haematology DepartmentGuy's and St Thomas NHS TrustLondonUK
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Xing T, Yao WL, Zhao HY, Wang J, Zhang YY, Lv M, Xu LP, Zhang XH, Huang XJ, Kong Y. Bone marrow macrophages are involved in the ineffective hematopoiesis of myelodysplastic syndromes. J Cell Physiol 2024; 239:e31129. [PMID: 38192063 DOI: 10.1002/jcp.31129] [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: 06/15/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 01/10/2024]
Abstract
Myelodysplastic syndromes (MDS) are a group of heterogeneous myeloid clonal disorders characterized by ineffective hematopoiesis. Accumulating evidence has shown that macrophages (MΦs) are important components in the regulation of tumor progression and hematopoietic stem cells (HSCs). However, the roles of bone marrow (BM) MΦs in regulating normal and malignant hematopoiesis in different clinical stages of MDS are largely unknown. Age-paired patients with lower-risk MDS (N = 15), higher-risk MDS (N = 15), de novo acute myeloid leukemia (AML) (N = 15), and healthy donors (HDs) (N = 15) were enrolled. Flow cytometry analysis showed increased pro-inflammatory monocyte subsets and a decreased classically activated (M1) MΦs/alternatively activated (M2) MΦs ratio in the BM of patients with higher-risk MDS compared to lower-risk MDS. BM MФs from patients with higher-risk MDS and AML showed impaired phagocytosis activity but increased migration compared with lower-risk MDS group. AML BM MΦs showed markedly higher S100A8/A9 levels than lower-risk MDS BM MΦs. More importantly, coculture experiments suggested that the HSC supporting abilities of BM MΦs from patients with higher-risk MDS decreased, whereas the malignant cell supporting abilities increased compared with lower-risk MDS. Gene Ontology enrichment comparing BM MΦs from lower-risk MDS and higher-risk MDS for genes was involved in hematopoiesis- and immunity-related pathways. Our results suggest that BM MΦs are involved in ineffective hematopoiesis in patients with MDS, which indicates that repairing aberrant BM MΦs may represent a promising therapeutic approach for patients with MDS.
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Affiliation(s)
- Tong Xing
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Wei-Li Yao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Hong-Yan Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Jing Wang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Meng Lv
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yuan Kong
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
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Silzle T, Blum S, Kasprzak A, Nachtkamp K, Rudelius M, Hildebrandt B, Götze KS, Gattermann N, Lauseker M, Germing U. The Absolute Monocyte Count at Diagnosis Affects Prognosis in Myelodysplastic Syndromes Independently of the IPSS-R Risk Score. Cancers (Basel) 2023; 15:3572. [PMID: 37509235 PMCID: PMC10377210 DOI: 10.3390/cancers15143572] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/04/2023] [Accepted: 07/09/2023] [Indexed: 07/30/2023] Open
Abstract
The absolute monocyte count (AMC) is associated with mortality in a variety of medical conditions. Its prognostic impact in myelodysplastic syndromes (MDSs) is less well studied. Therefore, we investigated its potential prognostic value in a cohort from the Düsseldorf MDS registry in relationship to the revised international prognostic scoring system (IPSS-R). An AMC below the population's median (<0.2 × 109/L) was associated with several adverse disease features such as lower haemoglobin levels, lower count of neutrophils and platelets, and a higher percentage of blasts in the bone marrow. MDS patients with an AMC < 0.2 × 109/L had a significantly higher risk of progression into acute myeloid leukemia (AML). In a univariate, proportional hazards model the effect of the AMC as a continuous variable was modelled via p-splines. We found a U-shaped effect with the lowest hazard around 0.3 × 109/L. Accordingly, an AMC within the last quartile of the population (0.4 × 109/L) was associated with a reduced overall survival independently of IPSS-R, but not with the risk of secondary AML. Considering monocytopenia as a risk factor for AML progression in MDS may provide an additional argument for allogeneic transplantation or the use of hypomethylating agents in patients who are not clear candidates for those treatments according to current prognostic scoring systems and/or recommendations. Further studies are needed to assess the prognostic impact of the AMC in the context of prognostic scoring systems, considering the molecular risk profile, and to identify the mechanisms responsible for the higher mortality in MDS patients with a subtle monocytosis.
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Affiliation(s)
- Tobias Silzle
- Department of Medical Oncology and Hematology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Sabine Blum
- Service and Central Laboratory of Hematology, University Hospital of Lausanne and Lausanne University, 1011 Lausanne, Switzerland
| | - Annika Kasprzak
- Department of Hematology, Oncology, and Clinical Immunology, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Kathrin Nachtkamp
- Department of Hematology, Oncology, and Clinical Immunology, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Martina Rudelius
- Institute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany
| | - Barbara Hildebrandt
- Department of Human Genetics, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Katharina S. Götze
- Department of Internal Medicine III, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Norbert Gattermann
- Department of Hematology, Oncology, and Clinical Immunology, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Michael Lauseker
- Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, LMU Munich, 81377 Munich, Germany
| | - Ulrich Germing
- Department of Hematology, Oncology, and Clinical Immunology, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
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Jurado R, Huguet M, Xicoy B, Cabezon M, Jimenez-Ponce A, Quintela D, De La Fuente C, Raya M, Vinets E, Junca J, Julià-Torras J, Zamora L, Oriol A, Navarro JT, Calvo X, Sorigue M. Optimization of monocyte gating to quantify monocyte subsets for the diagnosis of chronic myelomonocytic leukemia. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023; 104:319-330. [PMID: 36448679 DOI: 10.1002/cyto.b.22106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/03/2022] [Accepted: 11/21/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND The presence of >94% classical monocytes (MO1, CD14++/CD16-) in peripheral blood (PB) has an excellent performance for the diagnosis of chronic myelomonocytic leukemia (CMML). However, the monocyte gating strategy is not well defined. The objective of the study was to compare monocyte gating strategies and propose an optimal one. METHODS This is a prospective, single center study assessing monocyte subsets in PB. First, we compared monocyte subsets using 13 monocyte gating strategies in 10 samples. Then we developed our own 10 color tube and tested it on 124 patients (normal white blood cell counts, reactive monocytosis, CMML and a spectrum of other myeloid malignancies). Both conventional and computational (FlowSOM) analyses were used. RESULTS Comparing different monocyte gating strategies, small but significant differences in %MO1 and percentually large differences in %MO3 (nonclassical monocytes) were found, suggesting that the monocyte gating strategy can impact monocyte subset quantification. Then, we designed a 10-color tube for this purpose (CD45/CD33/CD14/CD16/CD64/CD86/CD300/CD2/CD66c/CD56) and applied it to 124 patients. This tube allowed proper monocyte gating even in highly abnormal PB. Computational analysis found a higher %MO1 and lower %MO3 compared to conventional analysis. However, differences between conventional and computational analysis in both MO1 and MO3 were globally consistent and only minimal differences were observed when comparing the ranking of patients according to %MO1 or %MO3 obtained with the conventional versus the computational approach. CONCLUSIONS The choice of monocyte gating strategy appears relevant for the monocyte subset distribution test. Our 10-color proposal allowed satisfactory monocyte gating even in highly abnormal PB. Computational analysis seems promising to increase reproducibility in monocyte subset quantification.
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Affiliation(s)
- Rebeca Jurado
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Maria Huguet
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Blanca Xicoy
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Marta Cabezon
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Ari Jimenez-Ponce
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - David Quintela
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Cristina De La Fuente
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Minerva Raya
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Esther Vinets
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Jordi Junca
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | | | - Lurdes Zamora
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Albert Oriol
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Jose-Tomas Navarro
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Xavier Calvo
- Laboratori de Citologia Hematològica, Servei de Patologia, Grup de Recerca Translacional en Neoplàsies Hematològiques (GRETNHE), IMIM Hospital del Mar Research Institute, Barcelona, Spain
| | - Marc Sorigue
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
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