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Al Jamal I, Parquet M, Guiyedi K, Aoufouchi S, Le Guillou M, Rizzo D, Pollet J, Dupont M, Boulin M, Faumont N, Boutouil H, Jardin F, Ruminy P, El Hamel C, Lerat J, Al Hamaoui S, Makdissy N, Feuillard J, Gachard N, Peron S. IGH 3'RR recombination uncovers a non-germinal center imprint and c-MYC-dependent IGH rearrangement in unmutated chronic lymphocytic leukemia. Haematologica 2024; 109:466-478. [PMID: 37496419 PMCID: PMC10828775 DOI: 10.3324/haematol.2023.282897] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/20/2023] [Indexed: 07/28/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is an incurable indolent non-Hodgkin lymphoma characterized by tumor B cells that weakly express a B-cell receptor. The mutational status of the variable region (IGHV) within the immunoglobulin heavy chain (IGH) locus is an important prognosis indicator and raises the question of the CLL cell of origin. Mutated IGHV gene CLL are genetically imprinted by activation-induced cytidine deaminase (AID). AID is also required for IGH rearrangements: class switch recombination and recombination between switch Mu (Sμ) and the 3' regulatory region (3'RR) (Sμ-3'RRrec). The great majority of CLL B cells being unswitched led us to examine IGH rearrangement blockade in CLL. Our results separated CLL into two groups on the basis of Sμ-3'RRrec counts per sample: Sμ-3'RRrecHigh cases (mostly unmutated CLL) and Sμ-3'RRrecLow cases (mostly mutated CLL), but not based on the class switch recombination junction counts. Sμ-3'RRrec appeared to be ongoing in Sμ-3'RRrecHigh CLL cells and comparison of Sμ-3'RRrec junction structural features pointed to different B-cell origins for both groups. In accordance with IGHV mutational status and PIM1 mutation rate, Sμ-3'RRrecHigh CLL harbor a non-germinal center experienced B-cell imprint while Sμ-3'RRrecLow CLL are from AID-experienced B cells from a secondary lymphoid organ. In addition to the proposals already made concerning the CLL cell of origin, our study highlights that analysis of IGH recombinatory activity can identify CLL cases from different origins. Finally, on-going Sμ-3'RRrec in Sμ-3'RRrecHigh cells appeared to presumably be the consequence of high c-MYC expression, as c-MYC overexpression potentiated IGH rearrangements and Sμ-3'RRrec, even in the absence of AID for the latter.
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Affiliation(s)
- Israa Al Jamal
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges, France; Faculty of Sciences, GSBT Genomic Surveillance and Biotherapy Team, Mont Michel Campus, Lebanese University, Tripoli
| | - Milene Parquet
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges
| | - Kenza Guiyedi
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges
| | - Said Aoufouchi
- CNRS UMR9019, Gustave Roussy, B-cell and Genome Plasticity Team, Villejuif, France and Universite Paris-Saclay, Orsay
| | - Morwenna Le Guillou
- CNRS UMR9019, Gustave Roussy, B-cell and Genome Plasticity Team, Villejuif, France and Universite Paris-Saclay, Orsay
| | - David Rizzo
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges, France; Laboratoire d'Hematologie Biologique, Centre Hospitalier Universitaire de Limoges, Limoges
| | - Justine Pollet
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges
| | - Marine Dupont
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges, France; Laboratoire d'Hematologie Biologique, Centre Hospitalier Universitaire de Limoges, Limoges
| | - Melanie Boulin
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges, France; Laboratoire d'Hematologie Biologique, Centre Hospitalier Universitaire de Limoges, Limoges
| | - Nathalie Faumont
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges
| | - Hend Boutouil
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges
| | - Fabrice Jardin
- Inserm U1245 and Department of Henri-Becquerel Hematology Center and Normandie Univ UNIROUEN, Rouen
| | - Philippe Ruminy
- Inserm U1245 and Department of Henri-Becquerel Hematology Center and Normandie Univ UNIROUEN, Rouen
| | - Chahrazed El Hamel
- Collection Biologique Hopital de la Mere et de l'Enfant (CB-HME), Department of Pediatrics, Limoges University Hospital, Limoges
| | - Justine Lerat
- Department of Otorinolaryngology, Limoges University Hospital, Limoges
| | - Samar Al Hamaoui
- Faculty of Sciences, GSBT Genomic Surveillance and Biotherapy Team, Mont Michel Campus, Lebanese University, Tripoli
| | - Nehman Makdissy
- Faculty of Sciences, GSBT Genomic Surveillance and Biotherapy Team, Mont Michel Campus, Lebanese University, Tripoli
| | - Jean Feuillard
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges, France; Laboratoire d'Hematologie Biologique, Centre Hospitalier Universitaire de Limoges, Limoges
| | - Nathalie Gachard
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges, France; Laboratoire d'Hematologie Biologique, Centre Hospitalier Universitaire de Limoges, Limoges
| | - Sophie Peron
- Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 7276/INSERM U1262, Universite de Limoges, Limoges.
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Deng X, Zhang M, Zhou J, Xiao M. Next-generation sequencing for MRD monitoring in B-lineage malignancies: from bench to bedside. Exp Hematol Oncol 2022; 11:50. [PMID: 36057673 PMCID: PMC9440501 DOI: 10.1186/s40164-022-00300-2] [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: 05/22/2022] [Accepted: 08/21/2022] [Indexed: 12/02/2022] Open
Abstract
Minimal residual disease (MRD) is considered the strongest relevant predictor of prognosis and an effective decision-making factor during the treatment of hematological malignancies. Remarkable breakthroughs brought about by new strategies, such as epigenetic therapy and chimeric antigen receptor-T (CAR-T) therapy, have led to considerably deeper responses in patients than ever, which presents difficulties with the widely applied gold-standard techniques of MRD monitoring. Urgent demands for novel approaches that are ultrasensitive and provide sufficient information have put a spotlight on high-throughput technologies. Recently, advances in methodology, represented by next-generation sequencing (NGS)-based clonality assays, have proven robust and suggestive in numerous high-quality studies and have been recommended by some international expert groups as disease-monitoring modalities. This review demonstrates the applicability of NGS-based clonality assessment for MRD monitoring of B-cell malignancies by summarizing the oncogenesis of neoplasms and the corresponding status of immunoglobulin (IG) rearrangements. Furthermore, we focused on the performance of NGS-based assays compared with conventional approaches and the interpretation of results, revealing directions for improvement and prospects in clinical practice.
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Affiliation(s)
- Xinyue Deng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China
| | - Meilan Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China
| | - Jianfeng Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China
| | - Min Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China. .,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China.
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Chauzeix J, Pastoret C, Donaty L, Gachard N, Fest T, Feuillard J, Rizzo D. A reduced panel of eight genes (ATM, SF3B1, NOTCH1, BIRC3, XPO1, MYD88, TNFAIP3, and TP53) as an estimator of the tumor mutational burden in chronic lymphocytic leukemia. Int J Lab Hematol 2021; 43:683-692. [PMID: 33325634 PMCID: PMC8451785 DOI: 10.1111/ijlh.13435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/10/2020] [Accepted: 11/24/2020] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Mutational complexity or tumor mutational burden (TMB) influences the course of chronic lymphocytic leukemia (CLL). However, this information is not routinely used because TMB is usually obtained from whole genome or exome, or from large gene panel high-throughput sequencing. METHODS Here, we used the C-Harrel concordance index to determine the minimum panel of genes for which mutations predict treatment-free survival (TFS) as well as large resequencing panels. RESULTS An eight gene estimator was defined encompassing ATM, SF3B1, NOTCH1, BIRC3, XPO1, MYD88, TNFAIP3, and TP53. TMB estimated from either a large panel of genes or the eight gene estimator was increased in treated patients or in those with a short TFS (<2 years), unmutated IGHV gene or with an unfavorable karyotype. Being an independent prognostic parameter, any mutation in the eight gene estimator predicted a shorter TFS better than Binet stage and IGHV mutational status among patients with an apparently non-progressive disease (TFS >6 months). Strikingly, the eight gene estimator was also highly informative for patients with Binet stage A CLL or with a good prognosis karyotype. CONCLUSION These results suggest that the eight gene estimator, that is easily achievable by high-throughput resequencing, brings robust and valuable information that predicts evolution of untreated patients at diagnosis better than any other parameter.
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Affiliation(s)
- Jasmine Chauzeix
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - Cédric Pastoret
- InsermMICMAC ‐ UMR_S 1236CHU RennesUniversité Rennes 1RennesFrance
| | - Lucie Donaty
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - Nathalie Gachard
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - Thierry Fest
- InsermMICMAC ‐ UMR_S 1236CHU RennesUniversité Rennes 1RennesFrance
| | - Jean Feuillard
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - David Rizzo
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
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Faumont N, Taoui O, Collares D, Jais JP, Leroy K, Prévaud L, Jardin F, Molina TJ, Copie-Bergman C, Petit B, Gourin MP, Bordessoule D, Troutaud D, Baud V, Feuillard J. c-Rel Is the Pivotal NF-κB Subunit in Germinal Center Diffuse Large B-Cell Lymphoma: A LYSA Study. Front Oncol 2021; 11:638897. [PMID: 33959502 PMCID: PMC8095348 DOI: 10.3389/fonc.2021.638897] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/15/2021] [Indexed: 12/21/2022] Open
Abstract
Relationships between c-Rel and GCB-DLBCLs remain unclear. We found that strong c-Rel DNA-binding activity was mostly found in GCBs on two independent series of 48 DLBCLs and 66 DLBCLs, the latter issued from the GHEDI series. c-Rel DNA-binding activity was associated with increased REL mRNA expression. Extending the study to the whole GHEDI and Lenz DLBCL published series of 202 and 233 cases, it was found that the c-Rel gene expression profile (GEP) overlapped partially (12%) but only with the GCB GEP and not with the GEP of ABC-DLBCLs. Cases with both overexpression of REL mRNA and c-Rel GEP were defined as those having a c-Rel signature. These cases were GCBs in 88 and 83% of the GHEDI or Lenz's DLBCL series respectively. The c-Rel signature was also associated with various recurrent GCB-DLBCL genetic events, including REL gains, BCL2 translocation, MEF2B, EZH2, CREBBP, and TNFRSF14 mutations and with the EZB GCB genetic subtype. By CGH array, the c-Rel signature was specifically correlated with 2p15-16.1 amplification that includes XPO1, BCL11A, and USP34 and with the 22q11.22 deletion that covers IGLL5 and PRAME. The total number of gene copy number aberrations, so-called genomic imbalance complexity, was decreased in cases with the c-Rel signature. These cases exhibited a better overall survival. Functionally, overexpression of c-Rel induced its constitutive nuclear localization and protected cells against apoptosis while its repression tended to increase cell death. These results show that, clinically and biologically, c-Rel is the pivotal NF-κB subunit in the GCB-DLBCL subgroup. Functionally, c-Rel overexpression could directly promote DLBCL tumorigenesis without need for further activation signals.
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Affiliation(s)
- Nathalie Faumont
- CNRS UMR-7276, INSERM U1262, CRIBL, University of Limoges, and Hematology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France
| | - Oussama Taoui
- CNRS UMR-7276, INSERM U1262, CRIBL, University of Limoges, and Hematology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France
| | - Davi Collares
- Université de Paris, NF-κappaB, Differentiation and Cancer, Paris, France
| | | | - Karen Leroy
- UMRS1138, Centre de Recherche des Cordeliers, Paris Descartes University, CARPEM, Department of Genetics and Molecular Biology, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Léa Prévaud
- CNRS UMR-7276, INSERM U1262, CRIBL, University of Limoges, and Hematology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France
| | - Fabrice Jardin
- Inserm U1245 and Department of Henri-Becquerel Hematology Center and Normandie Univ UNIROUEN, Rouen, France
| | - Thierry J Molina
- Université de Paris, NF-κappaB, Differentiation and Cancer, Paris, France.,Pathology Department, Necker Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Paris, France
| | | | - Barbara Petit
- Pathology Department, CHU of Limoges, Limoges, France
| | - Marie-Pierre Gourin
- Regional Reference Structure of Limousin Lymphomas, Clinical Hematology Department, CHU of Limoges, Limoges, France
| | - Dominique Bordessoule
- CNRS UMR-7276, INSERM U1262, CRIBL, University of Limoges, and Hematology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France.,Regional Reference Structure of Limousin Lymphomas, Clinical Hematology Department, CHU of Limoges, Limoges, France
| | | | - Véronique Baud
- Université de Paris, NF-κappaB, Differentiation and Cancer, Paris, France
| | - Jean Feuillard
- CNRS UMR-7276, INSERM U1262, CRIBL, University of Limoges, and Hematology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France
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Abstract
Although the first-line rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone regimen (R-CHOP) substantially improved outcomes for patients with diffuse large B-cell lymphoma (DLBCL), 40% of the patients suffered from relapsed/refractory disease and had poor survival outcomes. The detailed mechanism underlying R-CHOP resistance has not been well defined. For this review, we conducted a thorough search for literature and clinical trials involving DLBCL resistance. We discussed DLBCL biology, epigenetics, and aberrant signaling of the B-cell receptor (BCR), phosphatidylinositol 3-kinase (PI3K)/Akt, nuclear factor kappa light chain enhancer of activated B-cells (NF-κB), and the Janus kinase (JAK)/signal transducer and activator of transcription 3 (STAT3) pathways as defining mechanisms of DLBCL heterogeneity and R-CHOP resistance. The cell of origin, double- or triple-hit lymphoma and double-protein-expression, clonal evolution, tumor microenvironment, and multi-drug resistance help to contextualize DLBCL resistance in an (epi)genetically and biologically comparative manner. With better understanding of the biological and molecular landscape of DLBCL, a more detailed classification system and tailored treatments will ideally become available to further improve the prognosis of DLBCL patients.
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Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy. Eur Radiol 2020; 30:4623-4632. [PMID: 32248365 DOI: 10.1007/s00330-020-06815-8] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 02/27/2020] [Accepted: 03/16/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To explore the prognostic value of positron emission tomography (PET) radiomic features in the field of diffuse large B cell lymphoma (DLBCL) treated with a first-line immunochemotherapy. METHODS One-hundred thirty-two patients newly diagnosed with DLBCL were retrospectively included. PET studies were reconstructed using an ordered subset expectation maximisation algorithm with point spread function modelling. The total metabolic tumour volume (MTV) was recorded for each patient, and the volume of interest structure of the largest target lesion was used to compute 18F-FDG textural parameters. Data was randomly split into training and validation datasets. Optimal cutoff values were determined by means of 2-year event-free survival (EFS) ROC analyses. Two-year EFS analyses were performed using Kaplan-Meier survival analyses and univariable and multivariable Cox regression models. RESULTS The median follow-up was 27 months, and the 2-year event-free survival (2y-EFS) was 77.3% in the entire population. ROC analyses for the 2y-EFS reached statistical significance for total MTV as well as four second-order metrics (homogeneity, contrast, correlation, dissimilarity) and five third-order metrics (LZE (Long-Zone Emphasis), LZLGE (Long-Zone Low-Grey Level Emphasis), LZHGE (Long-Zone High-Grey Level Emphasis), GLNU (Grey-Level Non-Uniformity) and ZP (Zone Percentage)). LZHGE displayed the highest ROC analysis accuracy (acc. = 0.76) and the best discriminant value on univariable Kaplan-Meier analysis (p < 0.0001, HR = 4.54). On multivariable analysis, including IPIaa, total MTV and LZHGE, LZHGE was the only independent predictor of 2y-EFS. These results were confirmed on the validation dataset. CONCLUSIONS Baseline 18F-FDG PET heterogeneity of the largest lymphoma lesion is a promising predictor of 2y-EFS in newly diagnosed DLBCL treated with immunochemotherapy. KEY POINTS •18F-FDG metabolic heterogeneity emerges as a new tool for survival prognostication of patients and has been explored in many solid tumours with promising results. • Baseline18F-FDG PET heterogeneity of the largest lymphoma lesion is an independent predictor of 2y-EFS in newly diagnosed DLBCL treated with immunochemotherapy. • DLBCL patients presenting with a heterogeneous tumour displayed a worse prognosis.
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Vannata B, Conconi A, Winkler J, Cascione L, Margiotta Casaluci G, Nassi L, Moia R, Pirosa MC, Moccia AA, Stathis A, Rossi D, Gaidano G, Zucca E. Late relapse in patients with diffuse large B-cell lymphoma: impact of rituximab on their incidence and outcome. Br J Haematol 2019; 187:478-487. [PMID: 31385291 DOI: 10.1111/bjh.16106] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 05/21/2019] [Indexed: 12/14/2022]
Abstract
Diffuse large B-cell lymphoma (DLBCL) constitutes 25-35% of all non-Hodgkin lymphomas in Western countries. Approximately two thirds of the patients can be cured with standard immuno-chemotherapy. Most relapses occur within 1-2 years from diagnosis, however, the occurrence of relapses after 5 years or more has been described. We aimed at defining the incidence and clinical features of late relapses. Data of 1113 DLBCL patients were analysed. Among the 196 patients relapsing after a first complete remission, 36 (18% of relapses and 3% of all DLBCLs) experienced a recurrence more than 5 years from diagnosis. Late relapsing patients, in comparison with those relapsing earlier, showed a more favourable risk profile at presentation: normal lactate dehydrogenase levels (P = 0·002), early Ann Arbor stage (P = 0·006) and low International Prognostic Index (P = 0·003). The risk of late relapse was lowered by the introduction of rituximab as part of the front-line treatment (P < 0·001). Cause-specific survival (CSS) from the time of relapse was significantly better for late relapsing patients compared to those relapsing early: 5-year CSS rates were 53% and 31%, respectively (P = 0·033). A trend toward a better overall survival was also observed, with 5-year rates after relapse of 47% and 25%, respectively (P = 0·054).
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Affiliation(s)
- Barbara Vannata
- Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
| | - Annarita Conconi
- Division of Haematology, Department of Internal Medicine, Ospedale degli Infermi, Biella, Italy
| | - Jonas Winkler
- Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
| | | | - Gloria Margiotta Casaluci
- Division of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont and AOU Maggiore della Carità, Novara, Italy
| | - Luca Nassi
- Division of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont and AOU Maggiore della Carità, Novara, Italy
| | - Riccardo Moia
- Division of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont and AOU Maggiore della Carità, Novara, Italy
| | | | - Alden A Moccia
- Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
| | - Anastasios Stathis
- Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
| | - Davide Rossi
- Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland.,Institute of Oncology Research (IOR), Bellinzona, Switzerland
| | - Gianluca Gaidano
- Division of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont and AOU Maggiore della Carità, Novara, Italy
| | - Emanuele Zucca
- Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland.,Institute of Oncology Research (IOR), Bellinzona, Switzerland
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Management of relapsed/refractory DLBCL. Best Pract Res Clin Haematol 2018; 31:209-216. [DOI: 10.1016/j.beha.2018.07.014] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 07/20/2018] [Indexed: 01/01/2023]
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