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Monika F, Sabri A, Cantu D, Vail E, Siref A. Molecular characterization of a rare case of high-grade B-cell lymphoma with MYC, BCL2, BCL6, and CCND1 rearrangements. J Hematop 2024; 17:155-161. [PMID: 38914869 PMCID: PMC11324669 DOI: 10.1007/s12308-024-00593-8] [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: 03/04/2024] [Accepted: 06/12/2024] [Indexed: 06/26/2024] Open
Abstract
Quadruple-hit lymphomas are extremely rare non-Hodgkin lymphomas with a reported dismal prognosis in the few reported cases. A "quadruple hit" has been defined by the presence of concurrent MYC, BCL2, BCL6, and CCND1 chromosomal rearrangements. We report a new case of a quadruple hit lymphoma in a 73-year-old Hispanic man who presented with an enlarging left-sided neck mass. Computed tomography showed a 1.9-cm mass in left the tonsil with bulky cervical lymphadenopathy. The presence of all four chromosomal rearrangements can reportedly occur with disease progression in both diffuse large B-cell lymphomas and mantle cell lymphomas. Further characterization of the tumor by next-generation sequencing may be of benefit to delineate between these two possibilities. Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), and next-generation sequencing were used to confirm and classify the diagnosis. Histologic sections of the cervical lymph node demonstrated an atypical lymphoid infiltrate with large and pleomorphic cells, which were positive for CD20, CD10, BCL1 (Cyclin D1), BCL2, BCL6, and cMYC and negative for CD5 and SOX11 on immunohistochemistry with a Ki-67 proliferative index of 70%. FISH demonstrated MYC, BCL2, BCL6, and CCND1 rearrangements and the diagnosis of high-grade B-cell lymphoma with MYC, BCL2, BCL6, and CCND1 was rendered. Our patient was treated with dose adjusted etoposide, doxorubicin, cyclophosphamide, prednisone, and rituximab chemotherapy and has been in remission for 20 months.
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MESH Headings
- Humans
- Male
- Proto-Oncogene Proteins c-bcl-6/genetics
- Aged
- Cyclin D1/genetics
- Cyclin D1/metabolism
- Proto-Oncogene Proteins c-bcl-2/genetics
- Proto-Oncogene Proteins c-myc/genetics
- Gene Rearrangement
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Lymphoma, B-Cell/genetics
- Lymphoma, B-Cell/pathology
- Lymphoma, B-Cell/diagnosis
- Cyclophosphamide/therapeutic use
- Cyclophosphamide/administration & dosage
- Doxorubicin/therapeutic use
- Prednisone/therapeutic use
- Neoplasm Grading
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Lymphoma, Large B-Cell, Diffuse/diagnosis
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/diagnostic imaging
- Rituximab/therapeutic use
- In Situ Hybridization, Fluorescence
- Etoposide/therapeutic use
- Etoposide/administration & dosage
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Affiliation(s)
- Fnu Monika
- Department of Pathology, Creighton University, Omaha, NE, 68124, USA.
| | - Ahmed Sabri
- Department of Pathology, Creighton University, Omaha, NE, 68124, USA
| | - David Cantu
- Department of Pathology, CHI Health Creighton University, Omaha, NE, 68124, USA
| | - Eric Vail
- Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Andrew Siref
- Department of Pathology, CHI Health Creighton University, Omaha, NE, 68124, USA
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2
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Qiu Z, Khalife J, Ethiraj P, Jaafar C, Lin AP, Holder KN, Ritter JP, Chiou L, Huelgas-Morales G, Aslam S, Zhang Z, Liu Z, Arya S, Gupta YK, Dahia PLM, Aguiar RC. IRF8-mutant B cell lymphoma evades immunity through a CD74-dependent deregulation of antigen processing and presentation in MHCII complexes. SCIENCE ADVANCES 2024; 10:eadk2091. [PMID: 38996030 PMCID: PMC11244530 DOI: 10.1126/sciadv.adk2091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 06/06/2024] [Indexed: 07/14/2024]
Abstract
The mechanism by which interferon regulatory factor 8 (IRF8) mutation contributes to lymphomagenesis is unknown. We modeled IRF8 variants in B cell lymphomas and found that they affected the expression of regulators of antigen presentation. Expression of IRF8 mutants in murine B cell lymphomas suppressed CD4, but not CD8, activation elicited by antigen presentation and downmodulated CD74 and human leukocyte antigen (HLA) DM, intracellular regulators of antigen peptide processing/loading in the major histocompatibility complex (MHC) II. Concordantly, mutant IRF8 bound less efficiently to the promoters of these genes. Mice harboring IRF8 mutant lymphomas displayed higher tumor burden and remodeling of the tumor microenvironment, typified by depletion of CD4, CD8, and natural killer cells, increase in regulatory T cells and T follicular helper cells. Deconvolution of bulk RNA sequencing data from IRF8-mutant human diffuse large B cell lymphoma (DLBCL) recapitulated part of the immune remodeling detected in mice. We concluded that IRF8 mutations contribute to DLBCL biology by facilitating immune escape.
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MESH Headings
- Interferon Regulatory Factors/genetics
- Interferon Regulatory Factors/metabolism
- Animals
- Antigen Presentation/immunology
- Antigen Presentation/genetics
- Humans
- Mice
- Mutation
- Histocompatibility Antigens Class II/genetics
- Histocompatibility Antigens Class II/immunology
- Histocompatibility Antigens Class II/metabolism
- Antigens, Differentiation, B-Lymphocyte/genetics
- Antigens, Differentiation, B-Lymphocyte/metabolism
- Lymphoma, B-Cell/genetics
- Lymphoma, B-Cell/immunology
- Tumor Microenvironment/immunology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/pathology
- Cell Line, Tumor
- Tumor Escape/genetics
- Gene Expression Regulation, Neoplastic
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Affiliation(s)
- Zhijun Qiu
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Jihane Khalife
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Purushoth Ethiraj
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Carine Jaafar
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - An-Ping Lin
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Kenneth N. Holder
- Department of Pathology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Jacob P. Ritter
- Department of Pathology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Lilly Chiou
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Gabriela Huelgas-Morales
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Sadia Aslam
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Zhao Zhang
- Department of Molecular Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Zhijie Liu
- Department of Molecular Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Shailee Arya
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Yogesh K. Gupta
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Patricia L. M. Dahia
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Ricardo C.T. Aguiar
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
- South Texas Veterans Health Care System, Audie Murphy VA Hospital, San Antonio, TX 78229, USA
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3
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Norris R, Jones J, Mancini E, Chevassut T, Simoes FA, Pepper C, Pepper A, Mitchell S. Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data. Blood Cancer J 2024; 14:105. [PMID: 38965209 PMCID: PMC11224250 DOI: 10.1038/s41408-024-01090-y] [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: 12/20/2023] [Revised: 06/18/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024] Open
Abstract
Genetic heterogeneity and co-occurring driver mutations impact clinical outcomes in blood cancers, but predicting the emergent effect of co-occurring mutations that impact multiple complex and interacting signalling networks is challenging. Here, we used mathematical models to predict the impact of co-occurring mutations on cellular signalling and cell fates in diffuse large B cell lymphoma and multiple myeloma. Simulations predicted adverse impact on clinical prognosis when combinations of mutations induced both anti-apoptotic (AA) and pro-proliferative (PP) signalling. We integrated patient-specific mutational profiles into personalised lymphoma models, and identified patients characterised by simultaneous upregulation of anti-apoptotic and pro-proliferative (AAPP) signalling in all genomic and cell-of-origin classifications (8-25% of patients). In a discovery cohort and two validation cohorts, patients with upregulation of neither, one (AA or PP), or both (AAPP) signalling states had good, intermediate and poor prognosis respectively. Combining AAPP signalling with genetic or clinical prognostic predictors reliably stratified patients into striking prognostic categories. AAPP patients in poor prognosis genetic clusters had 7.8 months median overall survival, while patients lacking both features had 90% overall survival at 120 months in a validation cohort. Personalised computational models enable identification of novel risk-stratified patient subgroups, providing a valuable tool for future risk-adapted clinical trials.
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Affiliation(s)
- Richard Norris
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - John Jones
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Erika Mancini
- School of Life Sciences, University of Sussex, Brighton, UK
| | - Timothy Chevassut
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Fabio A Simoes
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Chris Pepper
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Andrea Pepper
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Simon Mitchell
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK.
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4
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Negara I, Tomuleasa C, Buruiana S, Efremov DG. Molecular Subtypes and the Role of TP53 in Diffuse Large B-Cell Lymphoma and Richter Syndrome. Cancers (Basel) 2024; 16:2170. [PMID: 38927876 PMCID: PMC11201917 DOI: 10.3390/cancers16122170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 05/30/2024] [Accepted: 06/01/2024] [Indexed: 06/28/2024] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy and a heterogeneous entity comprised of several biologically distinct subtypes. Recently, novel genetic classifications of DLBCL have been resolved based on common mutational patterns indicative of distinct pathways of transformation. However, the complicated and costly nature of the novel classifiers has precluded their inclusion into routine practice. In view of this, the status of the TP53 gene, which is mutated or deleted in 20-30% of the cases, has emerged as an important prognostic factor for DLBCL patients, setting itself apart from other predictors. TP53 genetic lesions are particularly enriched in a genetic subtype of DLBCL that shares genomic features with Richter Syndrome, highlighting the possibility of a subset of DLBCL arising from the transformation of an occult chronic lymphocytic leukemia-like malignancy, such as monoclonal B-cell lymphocytosis. Patients with TP53-mutated DLBCL, including those with Richter Syndrome, have a particularly poor prognosis and display inferior responses to standard chemoimmunotherapy regimens. The data presented in this manuscript argue for the need for improved and more practical risk-stratification models for patients with DLBCL and show the potential for the use of TP53 mutational status for prognostication and, in prospect, treatment stratification in DLBCL.
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Affiliation(s)
- Ivan Negara
- Molecular Hematology Unit, International Centre for Genetic Engineering and Biotechnology, 34149 Trieste, Italy
- Department of Internal Medicine, Hematology, “Nicolae Testemitanu” State University of Medicine and Pharmacy, 2004 Chisinau, Moldova;
| | - Ciprian Tomuleasa
- Department of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania;
| | - Sanda Buruiana
- Department of Internal Medicine, Hematology, “Nicolae Testemitanu” State University of Medicine and Pharmacy, 2004 Chisinau, Moldova;
| | - Dimitar G. Efremov
- Molecular Hematology Unit, International Centre for Genetic Engineering and Biotechnology, 34149 Trieste, Italy
- Macedonian Academy of Sciences and Arts, 1000 Skopje, North Macedonia
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5
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Chang H, Kang J, Pu T, Su R, Chen C, Hu J. Diffuse large B-cell lymphoma-induced intussusception: A case report and literature review. Clin Case Rep 2024; 12:e9046. [PMID: 38895050 PMCID: PMC11183938 DOI: 10.1002/ccr3.9046] [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: 12/20/2023] [Revised: 02/21/2024] [Accepted: 05/18/2024] [Indexed: 06/21/2024] Open
Abstract
Adult intussusception necessitates early surgical intervention. We emphasis the significance of considering diffuse large B-Cell lymphoma in differential diagnoses for adult intussusception, particularly in the colon, to ensure precise diagnosis and optimal management.
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Affiliation(s)
- Hao‐Cheng Chang
- Department of Surgery, Tri‐Service General HospitalNational Defense Medical CenterTaipeiTaiwan
| | - Jung‐Cheng Kang
- Department of Surgery, Division of Colon and Rectal SurgeryTaiwan Adventist HospitalTaipeiTaiwan
| | - Ta‐Wei Pu
- Division of Colon and Rectal Surgery, Department of Surgery, Tri‐Service General Hospital Songshan BranchNational Defense Medical CenterTaipeiTaiwan
- Division of Colon and Rectal Surgery, Department of Surgery, Tri‐Service General HospitalNational Defense Medical CenterTaipeiTaiwan
| | - Ruei‐Yu Su
- Department of Pathology, Tri‐Service General HospitalNational Defense Medical CenterTaipeiTaiwan
- Department of Pathology and Laboratory MedicineTaoyuan Armed Forces General HospitalTaoyuanTaiwan
| | - Chao‐Young Chen
- Division of Colon and Rectal Surgery, Department of Surgery, Tri‐Service General HospitalNational Defense Medical CenterTaipeiTaiwan
| | - Je‐Ming Hu
- Division of Colon and Rectal Surgery, Department of Surgery, Tri‐Service General HospitalNational Defense Medical CenterTaipeiTaiwan
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6
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López C, Fischer A, Rosenwald A, Siebert R, Ott G, Kurz KS. Genetic alterations in mature B- and T-cell lymphomas - a practical guide to WHO-HAEM5. MED GENET-BERLIN 2024; 36:59-73. [PMID: 38835967 PMCID: PMC11006337 DOI: 10.1515/medgen-2024-2005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
The identification of recurrent genomic alterations in tumour cells has a significant role in the classification of mature B- and T-cell lymphomas. Following the development of new technologies, such as next generation sequencing and the improvement of classical technologies such as conventional and molecular cytogenetics, a huge catalogue of genomic alterations in lymphoid neoplasms has been established. These alterations are relevant to refine the taxonomy of the classification of lymphomas, to scrutinize the differential diagnosis within different lymphoma entities and to help assessing the prognosis and clinical management of the patients. Consequently, here we describe the key genetic alterations relevant in mature B- and T-cell lymphomas.
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Affiliation(s)
- Cristina López
- Universität Würzburg Institut für Pathologie Würzburg Germany
| | - Anja Fischer
- Universität Ulm und Universitätsklinikum Ulm Institut für Humangenetik Ulm Germany
| | - Andreas Rosenwald
- Robert-Bosch-Krankenhaus Abteilung für Klinische Pathologie Stuttgart Germany
| | - Reiner Siebert
- Robert-Bosch-Krankenhaus Abteilung für Klinische Pathologie Stuttgart Germany
| | - German Ott
- Universität Ulm und Universitätsklinikum Ulm Institut für Humangenetik Ulm Germany
| | - Katrin S Kurz
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Molecular Pathology Laboratory Barcelona Spain
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7
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Zhuang X, Liu B, Long J, Wang H, Yu J, Ji X, Li J, Zhu N, Li L, Chen Y, Liu Z, Zhao S. Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle. Clin Transl Oncol 2024; 26:936-950. [PMID: 37783922 DOI: 10.1007/s12094-023-03326-y] [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: 05/04/2023] [Accepted: 09/12/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Diffuse large B-cell lymphoma (DLBCL) exhibits remarkable heterogeneity but still remains undiagnosed in identifying the subpopulation of DLBCL to predict the prognosis and guide clinical treatment. METHODS Molecular subgroups were identified in gene expression data from GSE10846 by a consensus clustering algorithm. And gene set enrichment analysis, immune infiltration, and the proposed cell cycle algorithm were applied to explore the biological functions of different subtypes. Meanwhile, univariate and multivariate Cox regression analyses were used to evaluate independent prognostic factors of DLBCL. Finally, the prognostic model, including some key genes screened by Lasso regression, Random Forest algorithm, and point-biserial correlation, was constructed by an optimal classifier from seven machine learning algorithms and validated by another three external datasets (GSE34171, GSE87371, GSE31312). RESULTS Comprehensive genomic analysis of 1,143 DLBCL samples identify 2 molecularly, prognostically relevant subtypes: immune-enriched (IME) and cell-cycle-enriched (CCE). Then a new predictive model including seven key genes (SERPING1, TIMP2, NME1, DCTPP1, RFC4, POLE2, and SNRPD1) was developed with high prediction accuracy (88.6%) and strong predictive power (AUC = 0.973) based on the Support Vector Machine (SVM) algorithm in 414 patients from GSE10846. The predictive power was similar in another three testing sets (HR > 1.400, p < 0.05). CONCLUSION This model could evaluate survival independently with strong predictive power compared with other clinical risk factors. Our study constructed a reliable model to predict two new subtypes of DLBCL patients, which could guide the implementation of individualized treatment.
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Affiliation(s)
- Xujie Zhuang
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Bo Liu
- School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand
| | - Junqi Long
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Huina Wang
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Jiangyong Yu
- Department of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xinchan Ji
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Jinmeng Li
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Nian Zhu
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Lujia Li
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Yuhaoran Chen
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Zhidong Liu
- Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
| | - Shuangtao Zhao
- Department of Breast Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
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8
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Benitez-Cantos MS, Cano C, Cuadros M, Medina PP. Activation-induced cytidine deaminase causes recurrent splicing mutations in diffuse large B-cell lymphoma. Mol Cancer 2024; 23:42. [PMID: 38402205 PMCID: PMC10893679 DOI: 10.1186/s12943-024-01960-w] [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: 12/04/2023] [Accepted: 02/16/2024] [Indexed: 02/26/2024] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma. A major mutagenic process in DLBCL is aberrant somatic hypermutation (aSHM) by activation-induced cytidine deaminase (AID), which occurs preferentially at RCH/TW sequence motifs proximal to transcription start sites. Splice sequences are highly conserved, rich in RCH/TW motifs, and recurrently mutated in DLBCL. Therefore, we hypothesized that aSHM may cause recurrent splicing mutations in DLBCL. In a meta-cohort of > 1,800 DLBCLs, we found that 77.5% of splicing mutations in 29 recurrently mutated genes followed aSHM patterns. In addition, in whole-genome sequencing (WGS) data from 153 DLBCLs, proximal mutations in splice sequences, especially in donors, were significantly enriched in RCH/TW motifs (p < 0.01). We validated this enrichment in two additional DLBCL cohorts (N > 2,000; p < 0.0001) and confirmed its absence in 12 cancer types without aSHM (N > 6,300). Comparing sequencing data from mouse models with and without AID activity showed that the splice donor sequences were the top genomic feature enriched in AID-induced mutations (p < 0.0001). Finally, we observed that most AID-related splice site mutations are clonal within a sample, indicating that aSHM may cause early loss-of-function events in lymphomagenesis. Overall, these findings support that AID causes an overrepresentation of clonal splicing mutations in DLBCL.
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Affiliation(s)
- Maria S Benitez-Cantos
- GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government, PTS Granada - Avenida de la Ilustración 114, Granada, 18016, Spain
- Health Research Institute of Granada (Ibs.Granada), Avenida de Madrid 15, Granada, 18012, Spain
- Department of Biochemistry and Molecular Biology III and Immunology, Faculty of Medicine, University of Granada, Avenida de la Investigación 11, Granada, 18016, Spain
| | - Carlos Cano
- Department of Computer Science and Artificial Intelligence, School of Computer and Telecommunication Engineering, University of Granada, Calle Periodista Daniel Saucedo Aranda s/n, Granada, 18014, Spain
| | - Marta Cuadros
- GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government, PTS Granada - Avenida de la Ilustración 114, Granada, 18016, Spain
- Health Research Institute of Granada (Ibs.Granada), Avenida de Madrid 15, Granada, 18012, Spain
- Department of Biochemistry and Molecular Biology III and Immunology, Faculty of Medicine, University of Granada, Avenida de la Investigación 11, Granada, 18016, Spain
| | - Pedro P Medina
- GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government, PTS Granada - Avenida de la Ilustración 114, Granada, 18016, Spain.
- Health Research Institute of Granada (Ibs.Granada), Avenida de Madrid 15, Granada, 18012, Spain.
- Department of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Avenida de Fuentenueva s/n, Granada, 18071, Spain.
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9
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Mishina T, Miyoshi H, Takeuchi M, Miyawaki K, Nakashima K, Yamada K, Moritsubo M, Inoue-Mitsuyama K, Shimasaki Y, Imamoto T, Kawamoto K, Furuta T, Kohno K, Kato K, Akashi K, Ohshima K. Co-expression of regulatory B-cell markers, transforming growth factor β and interleukin-10 as a prognostic factor in diffuse large B-cell lymphoma. Pathol Res Pract 2024; 254:155117. [PMID: 38262270 DOI: 10.1016/j.prp.2024.155117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/25/2024]
Abstract
Regulatory B cells (Bregs) suppress antitumor immunity by producing anti-inflammatory cytokines such as transforming growth factor β (TGF-β) and interleukin-10 (IL-10) and promoting tumor growth. It is unknown whether diffuse large B-cell lymphoma (DLBCL), a common subtype of B-cell malignancy, exhibits characteristics similar to those of Bregs. This study aimed to clarify the features of DLBCLs carrying Breg markers. In 123 DLBCL cases, we evaluated TGF-β and IL-10 expression in tumor biopsy samples using immunohistochemical staining and retrospectively analyzed their clinicopathological characteristics. Fifteen cases (12.2 %) classified as Breg-type DLBCL were positive for both TGF-β and IL-10. Breg-type DLBCL is mainly classified as having activated B cell-like cells of origin. Breg-type DLBCL cases showed significantly worse progression-free survival and overall survival (OS) than other DLBCL cases (P = 0.0016 and P = 0.042, respectively). In multivariate analysis, Breg-type DLBCL significantly affected OS (hazard ratio, 3.13; 95 % confidence interval 1.15-8.55; P = 0.025). Gene expression analysis showed that the expression of follicular dendritic cell-associated genes (FCER2, PIK3CD, FOXO1) was downregulated in Breg-type DLBCLs compared to other DLBCLs. These results suggest that the double expression of Breg markers, TGF-β and IL-10, in tumor cells indicates a poor prognosis in DLBCL patients. Further studies evaluating genomic abnormalities could confirm the characteristics of Breg-type DLBCL.
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Affiliation(s)
- Tatsuzo Mishina
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan; Division of Hematology-Oncology, Chiba Cancer Center, Chiba, Japan
| | - Hiroaki Miyoshi
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan.
| | - Mai Takeuchi
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Kohta Miyawaki
- Department of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Kazutaka Nakashima
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Kyohei Yamada
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Mayuko Moritsubo
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | | | - Yasumasa Shimasaki
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Teppei Imamoto
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan; Department of Surgical Pathology, Hokkaido University Hospital, Sapporo, Japan
| | - Keisuke Kawamoto
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Takuya Furuta
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Kei Kohno
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
| | - Koji Kato
- Department of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Koichi Akashi
- Department of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Koichi Ohshima
- Department of Pathology, School of Medicine, Kurume University, Kurume, Japan
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Scheijde-Vermeulen MA, Kester LA, Westera L, Tops BBJ, Meyer-Wentrup FAG. Integration of RNA Sequencing, Whole Exome Sequencing, and Flow Cytometry Into Routine Diagnostic Workup of Pediatric Lymphomas. J Transl Med 2024; 104:100267. [PMID: 37898291 DOI: 10.1016/j.labinv.2023.100267] [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: 06/01/2023] [Revised: 09/13/2023] [Accepted: 10/19/2023] [Indexed: 10/30/2023] Open
Abstract
The study was conducted to assess the feasibility of integrating state-of-the-art sequencing techniques and flow cytometry into diagnostic workup of pediatric lymphoma. RNA sequencing (RNAseq), whole exome sequencing, and flow cytometry were implemented into routine diagnostic workup of pediatric biopsies with lymphoma in the differential diagnosis. Within 1 year, biopsies from 110 children (122 specimens) were analyzed because of suspected malignant lymphoma. The experience with a standardized workflow combining histology and immunohistochemistry, flow cytometry, and next-generation sequencing technologies is reported. Flow cytometry was performed with fresh tissue in 83% (102/122) of specimens and allowed rapid diagnosis of T-cell and B-cell non-Hodgkin lymphomas. RNAseq was performed in all non-Hodgkin lymphoma biopsies and 42% (19/45) of Hodgkin lymphoma samples. RNAseq detected all but one of the translocations found by fluorescence in situ hybridization and PCR. RNAseq and whole exome sequencing identified additional genetic abnormalities not detected by conventional approaches. Finally, 3 cases are highlighted to exemplify how synergy between different diagnostic techniques and specialists can be achieved. This study demonstrates the feasibility and discusses the added value of integrating modern sequencing techniques and flow cytometry into a workflow for routine diagnostic workup of lymphoma. The inclusion of RNA and DNA sequencing not only supports diagnostics but also will lay the ground for the development of novel research-based treatment strategies for pediatric lymphoma patients.
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Affiliation(s)
| | - Lennart A Kester
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Liset Westera
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Bastiaan B J Tops
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
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11
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Tabatabai A, Arora A, Höfmann S, Jauch M, von Tresckow B, Hansen J, Flümann R, Jachimowicz RD, Klein S, Reinhardt HC, Knittel G. Mouse models of diffuse large B cell lymphoma. Front Immunol 2023; 14:1313371. [PMID: 38124747 PMCID: PMC10731046 DOI: 10.3389/fimmu.2023.1313371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023] Open
Abstract
Diffuse large B cell lymphoma (DLBCL) is a genetically highly heterogeneous disease. Yet, to date, the vast majority of patients receive standardized frontline chemo-immune-therapy consisting of an anthracycline backbone. Using these regimens, approximately 65% of patients can be cured, whereas the remaining 35% of patients will face relapsed or refractory disease, which, even in the era of CAR-T cells, is difficult to treat. To systematically tackle this high medical need, it is important to design, generate and deploy suitable in vivo model systems that capture disease biology, heterogeneity and drug response. Recently published, large comprehensive genomic characterization studies, which defined molecular sub-groups of DLBCL, provide an ideal framework for the generation of autochthonous mouse models, as well as an ideal benchmark for cell line-derived or patient-derived mouse models of DLBCL. Here we discuss the current state of the art in the field of mouse modelling of human DLBCL, with a particular focus on disease biology and genetically defined molecular vulnerabilities, as well as potential targeting strategies.
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Affiliation(s)
- Areya Tabatabai
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Aastha Arora
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Svenja Höfmann
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Maximilian Jauch
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Bastian von Tresckow
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Julia Hansen
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Ruth Flümann
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Ron D. Jachimowicz
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Sebastian Klein
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Hans Christian Reinhardt
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Gero Knittel
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
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12
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Hilton LK, Scott DW, Morin RD. Biological heterogeneity in diffuse large B-cell lymphoma. Semin Hematol 2023; 60:267-276. [PMID: 38151380 DOI: 10.1053/j.seminhematol.2023.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/19/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is heterogeneous both in clinical outcomes and the underlying disease biology. Over the last 2 decades, several different approaches for dissecting biological heterogeneity have emerged. Gene expression profiling (GEP) stratifies DLBCL into 3 broad groups (ABC, GCB, and DZsig/MHG), each with parallels to different normal mature B cell developmental states and prognostic implications. More recently, several different genomic approaches have been developed to categorize DLBCL based on the co-occurrence of tumor somatic mutations, identifying more granular biologically unified subgroups that complement GEP-based approaches. We review the molecular approaches and clinical evidence supporting the stratification of DLBCL patients based on tumor biology. By offering a platform for subtype-guided therapy, these divisions remain a promising avenue for improving patient outcomes, especially in subgroups with inferior outcomes with current standard-of-care therapy.
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Affiliation(s)
- Laura K Hilton
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada.; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
| | - David W Scott
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada.; Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ryan D Morin
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada.; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada; Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Centre, Vancouver, BC, Canada
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13
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Parry EM, Roulland S, Okosun J. DLBCL arising from indolent lymphomas: How are they different? Semin Hematol 2023; 60:277-284. [PMID: 38072721 DOI: 10.1053/j.seminhematol.2023.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/10/2023] [Accepted: 11/16/2023] [Indexed: 03/12/2024]
Abstract
Transformation to diffuse large B-cell lymphoma (DLBCL) is a recognized, but unpredictable, clinical inflection point in the natural history of indolent lymphomas. Large retrospective studies highlight a wide variability in the incidence of transformation across the indolent lymphomas and the adverse outcomes associated with transformed lymphomas. Opportunities to dissect the biology of transformed indolent lymphomas have arisen with evolving technologies and unique tissue collections enabling a growing appreciation, particularly, of their genetic basis, how they relate to the preceding indolent lymphomas and the comparative biology with de novo DLBCL. This review summarizes our current understanding of both the clinical and biological aspects of transformed lymphomas and the outstanding questions that remain.
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Affiliation(s)
- Erin M Parry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA
| | - Sandrine Roulland
- Aix-Marseille University, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy, Marseille, France
| | - Jessica Okosun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK; Department of Haemato-Oncology, St Bartholomew's Hospital, London, UK.
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14
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Jiang C, Qian C, Jiang Z, Teng Y, Lai R, Sun Y, Ni X, Ding C, Xu Y, Tian R. Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study. Eur J Nucl Med Mol Imaging 2023; 50:3949-3960. [PMID: 37606859 DOI: 10.1007/s00259-023-06405-y] [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: 06/19/2023] [Accepted: 08/16/2023] [Indexed: 08/23/2023]
Abstract
OBJECTIVE To develop and independently externally validate robust prognostic imaging biomarkers distilled from PET images using deep learning techniques for precise survival prediction in patients with diffuse large B cell lymphoma (DLBCL). METHODS A total of 684 DLBCL patients from three independent medical centers were included in this retrospective study. Deep learning scores (DLS) were generated from PET images using deep convolutional neural network architecture known as VGG19 and DenseNet121. These DLSs were utilized to predict progression-free survival (PFS) and overall survival (OS). Furthermore, multiparametric models were designed based on results from the Cox proportional hazards model and assessed through calibration curves, concordance index (C-index), and decision curve analysis (DCA) in the training and validation cohorts. RESULTS The DLSPFS and DLSOS exhibited significant associations with PFS and OS, respectively (P<0.05) in the training and validation cohorts. The multiparametric models that incorporated DLSs demonstrated superior efficacy in predicting PFS (C-index: 0.866) and OS (C-index: 0.835) compared to competing models in training cohorts. In external validation cohorts, the C-indices for PFS and OS were 0.760 and. 0.770 and 0.748 and 0.766, respectively, indicating the reliable validity of the multiparametric models. The calibration curves displayed good consistency, and the decision curve analysis (DCA) confirmed that the multiparametric models offered more net clinical benefits. CONCLUSIONS The DLSs were identified as robust prognostic imaging biomarkers for survival in DLBCL patients. Moreover, the multiparametric models developed in this study exhibited promising potential in accurately stratifying patients based on their survival risk.
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Affiliation(s)
- Chong Jiang
- Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Chunjun Qian
- School of Electrical and Information Engineering, Changzhou Institute of Technology, Changzhou, 213032, Jiangsu, China
- The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
- Center of Medical Physics, Nanjing Medical University, Changzhou, 213003, China
| | - Zekun Jiang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yue Teng
- Department of Nuclear Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ruihe Lai
- Department of Nuclear Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yiwen Sun
- Department of Nuclear Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Xinye Ni
- The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
- Center of Medical Physics, Nanjing Medical University, Changzhou, 213003, China
| | - Chongyang Ding
- Department of Nuclear Medicine, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Jiangsu Province, No. 321, Zhongshan Road, Nanjing, 210008, China.
| | - Yuchao Xu
- School of Nuclear Science and Technology, University of South China, Hengyang City, China
| | - Rong Tian
- Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China.
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15
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Qiu Z, Khalife J, Lin AP, Ethiraj P, Jaafar C, Chiou L, Huelgas-Morales G, Aslam S, Arya S, Gupta YK, Dahia PLM, Aguiar RCT. IRF8-mutant B cell lymphoma evades immunity through a CD74-dependent deregulation of antigen processing and presentation in MHC CII complexes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.14.560755. [PMID: 37873241 PMCID: PMC10592808 DOI: 10.1101/2023.10.14.560755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
In diffuse large B-cell lymphoma (DLBCL), the transcription factor IRF8 is the target of a series of potentially oncogenic events, including, chromosomal translocation, focal amplification, and super-enhancer perturbations. IRF8 is also frequently mutant in DLBCL, but how these variants contribute to lymphomagenesis is unknown. We modeled IRF8 mutations in DLBCL and found that they did not meaningfully impact cell fitness. Instead, IRF8 mutants, mapping either to the DNA-binding domain (DBD) or c-terminal tail, displayed diminished transcription activity towards CIITA, a direct IRF8 target. In primary DLBCL, IRF8 mutations were mutually exclusive with mutations in genes involved in antigen presentation. Concordantly, expression of IRF8 mutants in murine B cell lymphomas uniformly suppressed CD4, but not CD8, activation elicited by antigen presentation. Unexpectedly, IRF8 mutation did not modify MHC CII expression on the cell surface, rather it downmodulated CD74 and HLA- DM, intracellular regulators of antigen peptide processing/loading in the MHC CII complex. These changes were functionally relevant as, in comparison to IRF8 WT, mice harboring IRF8 mutant lymphomas displayed a significantly higher tumor burden, in association with a substantial remodeling of the tumor microenvironment (TME), typified by depletion of CD4, CD8, Th1 and NK cells, and increase in T-regs and Tfh cells. Importantly, the clinical and immune phenotypes of IRF8-mutant lymphomas were rescued in vivo by ectopic expression of CD74. Deconvolution of bulk RNAseq data from primary human DLBCL recapitulated part of the immune remodeling detected in mice and pointed to depletion of dendritic cells as another feature of IRF8 mutant TME. We concluded that IRF8 mutations contribute to DLBCL biology by facilitating immune escape.
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16
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Zhang MC, Tian S, Fu D, Wang L, Cheng S, Yi HM, Jiang XF, Song Q, Zhao Y, He Y, Li JF, Mu RJ, Fang H, Yu H, Xiong H, Li B, Chen SJ, Xu PP, Zhao WL. Genetic subtype-guided immunochemotherapy in diffuse large B cell lymphoma: The randomized GUIDANCE-01 trial. Cancer Cell 2023; 41:1705-1716.e5. [PMID: 37774697 DOI: 10.1016/j.ccell.2023.09.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/25/2023] [Accepted: 09/05/2023] [Indexed: 10/01/2023]
Abstract
We report the results of GUIDANCE-01 (NCT04025593), a randomized, phase II trial of R-CHOP alone or combined with targeted agents (R-CHOP-X) guided by genetic subtyping of newly diagnosed, intermediate-risk, or high-risk diffuse large B cell lymphoma (DLBCL). A total of 128 patients were randomized 1:1 to receive R-CHOP-X or R-CHOP. The study achieved the primary endpoint, showing significantly higher complete response rate with R-CHOP-X than R-CHOP (88% vs. 66%, p = 0.003), with overall response rate of 92% vs. 73% (p = 0.005). Two-year progression-free survival rates were 88% vs. 63% (p < 0.001), and 2-year overall survival rates were 94% vs. 77% (p = 0.001). Meanwhile, post hoc RNA-sequencing validated our simplified genetic subtyping algorithm and previously established lymphoma microenvironment subtypes. Our findings highlight the efficacy and safety of R-CHOP-X, a mechanism-based tailored therapy, which dually targeted genetic and microenvironmental alterations in patients with newly diagnosed DLBCL.
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Affiliation(s)
- Mu-Chen Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuang Tian
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Mei Yi
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xu-Feng Jiang
- Department of Nuclear Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Song
- Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang He
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian-Feng Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rong-Ji Mu
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Yu
- Department of Research and Development, Shanghai Righton Biotechnology Co. Ltd, Shanghai, China
| | - Hui Xiong
- Department of Research and Development, Shanghai Righton Biotechnology Co. Ltd, Shanghai, China
| | - Biao Li
- Department of Nuclear Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sai-Juan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China.
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Lefebvre C, Veronese L, Nadal N, Gaillard JB, Penther D, Daudignon A, Chauzeix J, Nguyen-Khac F, Chapiro E. Cytogenetics in the management of mature B-cell non-Hodgkin lymphomas: Guidelines from the Groupe Francophone de Cytogénétique Hematologique (GFCH). Curr Res Transl Med 2023; 71:103425. [PMID: 38016420 DOI: 10.1016/j.retram.2023.103425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 11/30/2023]
Abstract
Non-Hodgkin lymphomas (NHL) consist of a wide range of clinically, phenotypically and genetically distinct neoplasms. The accurate diagnosis of mature B-cell non-Hodgkin lymphoma relies on a multidisciplinary approach that integrates morphological, phenotypical and genetic characteristics together with clinical features. Cytogenetic analyses remain an essential part of the diagnostic workup for mature B-cell lymphomas. Karyotyping is particularly useful to identify hallmark translocations, typical cytogenetic signatures as well as complex karyotypes, all bringing valuable diagnostic and/or prognostic information. Besides the well-known recurrent chromosomal abnormalities such as, for example, t(14;18)(q32;q21)/IGH::BCL2 in follicular lymphoma, recent evidences support a prognostic significance of complex karyotype in mantle cell lymphoma and Waldenström macroglobulinemia. Fluorescence In Situ Hybridization is also a key analysis playing a central role in disease identification, especially in genetically-defined entities, but also in predicting transformation risk or prognostication. This can be exemplified by the pivotal role of MYC, BCL2 and/or BCL6 rearrangements in the diagnostic of aggressive or large B-cell lymphomas. This work relies on the World Health Organization and the International Consensus Classification of hematolymphoid tumors together with the recent cytogenetic advances. Here, we review the various chromosomal abnormalities that delineate well-established mature B-cell non-Hodgkin lymphoma entities as well as newly recognized genetic subtypes and provide cytogenetic guidelines for the diagnostic management of mature B-cell lymphomas.
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Affiliation(s)
- C Lefebvre
- Unité de Génétique des Hémopathies, Service d'Hématologie Biologique, CHU Grenoble Alpes, Grenoble, France.
| | - L Veronese
- Service de Cytogénétique Médicale, CHU Estaing, 1 place Lucie et Raymond Aubrac, 63003 Clermont-Ferrand; EA7453 CHELTER, Université Clermont Auvergne, France
| | - N Nadal
- Service de génétique chromosomique et moléculaire, CHU Dijon, Dijon, France
| | - J-B Gaillard
- Unité de Génétique Chromosomique, Service de Génétique moléculaire et cytogénomique, CHU Montpellier, Montpellier, France
| | - D Penther
- Laboratoire de Génétique Oncologique, Centre Henri Becquerel, Rouen, France
| | - A Daudignon
- Laboratoire de Génétique Médicale - Hôpital Jeanne de Flandre - CHRU de Lille, France
| | - J Chauzeix
- Service d'Hématologie biologique CHU de Limoges - CRIBL, UMR CNRS 7276/INSERM 1262, Limoges, France
| | - F Nguyen-Khac
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Inserm UMRS_1138, Drug Resistance in Hematological Malignancies Team, F-75006 Paris, France; Sorbonne Université, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Service d'Hématologie Biologique, F-75013 Paris, France
| | - E Chapiro
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Inserm UMRS_1138, Drug Resistance in Hematological Malignancies Team, F-75006 Paris, France; Sorbonne Université, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Service d'Hématologie Biologique, F-75013 Paris, France
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18
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Musimar Z, Mpetani M, Abramson JS, Chabner BA, Mohamed Z. Diffuse Large B-Cell Lymphoma Treated With R-CHOP in a Resource-Limited Setting in South Africa: A Real-World Study. Oncologist 2023; 28:e756-e764. [PMID: 37053476 PMCID: PMC10485283 DOI: 10.1093/oncolo/oyad069] [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: 01/20/2022] [Accepted: 02/24/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin's lymphoma worldwide and particularly in Africa, where the incidence of HIV is the highest in the world. R-CHOP is the standard of care regimen for DLBCL, but access to rituximab is limited in developing countries. METHODS This is a retrospective cohort study that included all HIV-negative patients with DLBCL who received R-CHOP at a single institution from January 2012 to December 2017. Clinical and demographic data were collected to assess factors that influenced survival. RESULTS Seventy-three patients were included. Median age was 55 (17-76), 67.1% of patients were younger than 60 years, and 60.3% were female. Most presented with stages III/IV disease (53.5%) but with good performance status (56.% PS 0 and 1). Progression-free survival at 3 and 5 years was 75% and 69%, and overall survival at 3 and 5 years was 77% and 74%, respectively. Median survival had not been reached with a median follow-up of 3.5 years(0.13-7.9). Overall survival was significantly affected by performance status (P = .04), but not by IPI or age. Survival was significantly associated with response to chemotherapy after 4-5 cycles of R-CHOP (P = 0.005). CONCLUSIONS Treatment of DLBCL with R-CHOP is feasible and can achieve good outcomes in resource-limited settings with rituximab-based chemotherapy. Poor performance status was the most important adverse prognostic factor in this cohort of HIV-negative patients.
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Affiliation(s)
- Zola Musimar
- Radiation Oncology Department, Groote Schuur Hospital, University of Cape Town, Cape Town, Western Cape, Republic of South Africa
| | - Mtonga Mpetani
- Radiation Oncology Department, Groote Schuur Hospital, University of Cape Town, Cape Town, Western Cape, Republic of South Africa
| | - Jeremy S Abramson
- Massachusetts General Hospital Cancer Center and the POETIC Fellowship Exchange Program, Dana Faber, Harvard Cancer Center, Boston, MA, USA
| | - Bruce A Chabner
- Massachusetts General Hospital Cancer Center and the POETIC Fellowship Exchange Program, Dana Faber, Harvard Cancer Center, Boston, MA, USA
| | - Zainab Mohamed
- Radiation Oncology Department, Groote Schuur Hospital, University of Cape Town, Cape Town, Western Cape, Republic of South Africa
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19
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Quintanilla-Martinez L, Laurent C, Soma L, Ng SB, Climent F, Ondrejka SL, Zamo A, Wotherspoon A, de Leval L, Dirnhofer S, Leoncini L. Emerging entities: high-grade/large B-cell lymphoma with 11q aberration, large B-cell lymphoma with IRF4 rearrangement, and new molecular subgroups in large B-cell lymphomas. A report of the 2022 EA4HP/SH lymphoma workshop. Virchows Arch 2023; 483:281-298. [PMID: 37555980 PMCID: PMC10541818 DOI: 10.1007/s00428-023-03590-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/13/2023] [Accepted: 06/26/2023] [Indexed: 08/10/2023]
Abstract
Emerging entities and molecular subgroups in large B-cell lymphomas (LBCLs) were discussed during the 2022 European Association for Haematopathology/Society for Hematopathology workshop in Florence, Italy. This session focused on newly recognized diseases and their diagnostic challenges. High-grade/large B-cell lymphoma with 11q aberration (HG/LBCL-11q) is defined by chromosome 11q-gains and telomeric loss. FISH analysis is recommended for the diagnosis. HG/LBCL-11q can occur in the setting of immunodeficiency, including ataxia-telangiectasia, and predominates in children. The morphological spectrum of these cases is broader than previously thought with often Burkitt-like morphology and coarse apoptotic bodies. It has a Burkitt-like immunophenotype (CD10+, BCL6+, BCL2-) but MYC expression is weak or negative, lacks MYC rearrangement, and is in contrast to Burkitt lymphoma 50% of the cases express LMO2. LBCL with IRF4 rearrangement (LBCL-IRF4) occurs mainly in the pediatric population but also in adults. LBCL-IRF4 has an excellent prognosis, with distinguishing molecular findings. IRF4 rearrangements, although characteristic of this entity, are not specific and can be found in association with other chromosomal translocations in other large B-cell lymphomas. Other molecular subgroups discussed included primary bone diffuse large B-cell lymphoma (PB-DLBCL), which has distinctive clinical presentation and molecular findings, and B-acute lymphoblastic leukemia (B-ALL) with IGH::MYC translocation recently segregated from Burkitt lymphoma with TdT expression. This latter disorder has molecular features of precursor B-cells, often tetrasomy 1q and recurrent NRAS and KRAS mutations. In this report, novel findings, recommendations for diagnosis, open questions, and diagnostic challenges raised by the cases submitted to the workshop will be discussed.
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Affiliation(s)
- Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard-Karls-University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Liebermeisterstrasse 8, 72076, Tübingen, Germany.
- Cluster of Excellence iFIT (EXC2180) "Image-guided and functionally Instructed Tumor therapies" Eberhard-Karls-University, Tübingen, Germany.
| | - Camille Laurent
- Department of Pathology, Toulouse University Hospital Center, Cancer Institute, University of Toulouse-Oncopole, Toulouse, France
| | - Lorinda Soma
- Department of Pathology, City of Hope National Medical Center, Duarte, CA, USA
| | - Siok-Bian Ng
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Fina Climent
- Department of Pathology, Hospital Universitari de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Sarah L Ondrejka
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Alberto Zamo
- Institute of Pathology, University of Würzburg, Würzburg, Germany
| | | | - Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Lorenzo Leoncini
- Department of Medical Biotechnology, Section of Pathology, University of Siena, Siena, Italy
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20
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Hilton LK, Ngu HS, Collinge B, Dreval K, Ben-Neriah S, Rushton CK, Wong JC, Cruz M, Roth A, Boyle M, Meissner B, Slack GW, Farinha P, Craig JW, Gerrie AS, Freeman CL, Villa D, Rodrigo JA, Song K, Crump M, Shepherd L, Hay AE, Kuruvilla J, Savage KJ, Kridel R, Karsan A, Marra MA, Sehn LH, Steidl C, Morin RD, Scott DW. Relapse Timing Is Associated With Distinct Evolutionary Dynamics in Diffuse Large B-Cell Lymphoma. J Clin Oncol 2023; 41:4164-4177. [PMID: 37319384 PMCID: PMC10852398 DOI: 10.1200/jco.23.00570] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/17/2023] [Accepted: 05/08/2023] [Indexed: 06/17/2023] Open
Abstract
PURPOSE Diffuse large B-cell lymphoma (DLBCL) is cured in more than 60% of patients, but outcomes remain poor for patients experiencing disease progression or relapse (refractory or relapsed DLBCL [rrDLBCL]), particularly if these events occur early. Although previous studies examining cohorts of rrDLBCL have identified features that are enriched at relapse, few have directly compared serial biopsies to uncover biological and evolutionary dynamics driving rrDLBCL. Here, we sought to confirm the relationship between relapse timing and outcomes after second-line (immuno)chemotherapy and determine the evolutionary dynamics that underpin that relationship. PATIENTS AND METHODS Outcomes were examined in a population-based cohort of 221 patients with DLBCL who experienced progression/relapse after frontline treatment and were treated with second-line (immuno)chemotherapy with an intention-to-treat with autologous stem-cell transplantation (ASCT). Serial DLBCL biopsies from a partially overlapping cohort of 129 patients underwent molecular characterization, including whole-genome or whole-exome sequencing in 73 patients. RESULTS Outcomes to second-line therapy and ASCT are superior for late relapse (>2 years postdiagnosis) versus primary refractory (<9 months) or early relapse (9-24 months). Diagnostic and relapse biopsies were mostly concordant for cell-of-origin classification and genetics-based subgroup. Despite this concordance, the number of mutations exclusive to each biopsy increased with time since diagnosis, and late relapses shared few mutations with their diagnostic counterpart, demonstrating a branching evolution pattern. In patients with highly divergent tumors, many of the same genes acquired new mutations independently in each tumor, suggesting that the earliest mutations in a shared precursor cell constrain tumor evolution toward the same genetics-based subgroups at both diagnosis and relapse. CONCLUSION These results suggest that late relapses commonly represent genetically distinct and chemotherapy-naïve disease and have implications for optimal patient management.
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Affiliation(s)
- Laura K. Hilton
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Henry S. Ngu
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Brett Collinge
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kostiantyn Dreval
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Susana Ben-Neriah
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Christopher K. Rushton
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Jasper C.H. Wong
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Manuela Cruz
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Andrew Roth
- Department of Molecular Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Merrill Boyle
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Barbara Meissner
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Graham W. Slack
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jeffrey W. Craig
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alina S. Gerrie
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ciara L. Freeman
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Diego Villa
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Judith A. Rodrigo
- Department of Hematology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Leukemia/BMT Program of BC, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Kevin Song
- Department of Hematology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Leukemia/BMT Program of BC, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Michael Crump
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Lois Shepherd
- Canadian Cancer Trials Group, Queens University, Kingston, Ontario, Canada
- Department of Medicine, Queens University, Kingston, Ontario, Canada
| | - Annette E. Hay
- Canadian Cancer Trials Group, Queens University, Kingston, Ontario, Canada
- Department of Medicine, Queens University, Kingston, Ontario, Canada
| | - John Kuruvilla
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Kridel
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Aly Karsan
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Marco A. Marra
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ryan D. Morin
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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21
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Chamba C, Mawalla W. The future of lymphoma diagnosis, prognosis, and treatment monitoring in countries with limited access to pathology services. Semin Hematol 2023; 60:215-219. [PMID: 37596119 DOI: 10.1053/j.seminhematol.2023.07.004] [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: 05/31/2023] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/20/2023]
Abstract
The world is moving towards precision medicine for cancer. This movement goes hand in hand with the development of newer advanced technologies for early, precise diagnosis of cancer and personalized treatment plans with fewer adverse effects for the patient. Liquid biopsy is one such advancement. At the same time, it has the advantage of minimal invasion and avoids serial invasive biopsies. In countries with limited access to pathology services, such as sub-Saharan Africa, liquid biopsy may provide an opportunity for early detection and prognostication of lymphoma. We discuss the current diagnostic modalities for lymphoma, highlighting the existing challenges with tissue biopsy, and how feasible it is for countries with limited pathology resources to leverage advancements made in the clinical application of liquid biopsy to improve lymphoma care.
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Affiliation(s)
- Clara Chamba
- Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
| | - William Mawalla
- Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
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22
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Dreval K, Hilton LK, Cruz M, Shaalan H, Ben-Neriah S, Boyle M, Collinge B, Coyle KM, Duns G, Farinha P, Grande BM, Meissner B, Pararajalingam P, Rushton CK, Slack GW, Wong J, Mungall AJ, Marra MA, Connors JM, Steidl C, Scott DW, Morin RD. Genetic subdivisions of follicular lymphoma defined by distinct coding and noncoding mutation patterns. Blood 2023; 142:561-573. [PMID: 37084389 PMCID: PMC10644066 DOI: 10.1182/blood.2022018719] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 04/06/2023] [Accepted: 04/06/2023] [Indexed: 04/23/2023] Open
Abstract
Follicular lymphoma (FL) accounts for ∼20% of all new lymphoma cases. Increases in cytological grade are a feature of the clinical progression of this malignancy, and eventual histologic transformation (HT) to the aggressive diffuse large B-cell lymphoma (DLBCL) occurs in up to 15% of patients. Clinical or genetic features to predict the risk and timing of HT have not been described comprehensively. In this study, we analyzed whole-genome sequencing data from 423 patients to compare the protein coding and noncoding mutation landscapes of untransformed FL, transformed FL, and de novo DLBCL. This revealed 2 genetically distinct subgroups of FL, which we have named DLBCL-like (dFL) and constrained FL (cFL). Each subgroup has distinguishing mutational patterns, aberrant somatic hypermutation rates, and biological and clinical characteristics. We implemented a machine learning-derived classification approach to stratify patients with FL into cFL and dFL subgroups based on their genomic features. Using separate validation cohorts, we demonstrate that cFL status, whether assigned with this full classifier or a single-gene approximation, is associated with a reduced rate of HT. This implies distinct biological features of cFL that constrain its evolution, and we highlight the potential for this classification to predict HT from genetic features present at diagnosis.
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Affiliation(s)
- Kostiantyn Dreval
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Laura K. Hilton
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Manuela Cruz
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Haya Shaalan
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | | | - Merrill Boyle
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Brett Collinge
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Krysta M. Coyle
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Gerben Duns
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | | | | | - Prasath Pararajalingam
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Christopher K. Rushton
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Graham W. Slack
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Jasper Wong
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Andrew J. Mungall
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Marco A. Marra
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | | | | | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Ryan D. Morin
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
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23
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George H, Gunawardana J, Keane C, Hicks RJ, Gandhi MK. A coordinated strategy for a simple, pragmatic approach to the early identification of the ultra-high-risk patient with diffuse large B-cell lymphoma. Intern Med J 2023; 53:1105-1109. [PMID: 37032307 DOI: 10.1111/imj.16078] [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: 01/26/2023] [Accepted: 04/02/2023] [Indexed: 04/11/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most frequent aggressive lymphoma seen in clinical practice. Despite huge strides in understanding its biology, front-line therapy has remained unchanged for decades. Roughly one-third of patients have primary refractory or relapse following the end of conventional first-line therapy. The outcome of patients with primary refractory disease and those with early relapse (defined as relapse less than 1 year from the end of therapy) is markedly inferior to those with later relapse and is exemplified by dismal overall survival. In this article, the authors term patients with features that identify them as being at particularly high-risk for either primary refractory disease or early relapse, as 'ultra-high-risk'. As new treatment options become established (e.g. bispecific T-cell engagers, chimeric antigen receptor 'CAR' T-cells and antibody-drug conjugates), it is likely that there will be a push to incorporate some of these agents into the first-line setting for patients identified as ultra-high-risk. In this review, the authors outline advances in positron emission tomography, widely available laboratory assays and clinical prognosticators, which can detect a high proportion of patients with ultra-high-risk disease. Since these approaches are pragmatic and able to be adopted widely, they could be incorporated into routine clinical practice.
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Affiliation(s)
| | - Jay Gunawardana
- Mater Research, University of Queensland, Brisbane, Queensland, Australia
| | - Colm Keane
- Frazer Institute, University of Queensland, Brisbane, Queensland, Australia
- Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Rod J Hicks
- Department of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medicine, Central Clinical School, Alfred Hospital, Monash University, Melbourne, Victoria, Australia
| | - Maher K Gandhi
- Mater Research, University of Queensland, Brisbane, Queensland, Australia
- Princess Alexandra Hospital, Brisbane, Queensland, Australia
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24
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Haider Z, Wästerlid T, Spångberg LD, Rabbani L, Jylhä C, Thorvaldsdottir B, Skaftason A, Awier HN, Krstic A, Gellerbring A, Lyander A, Hägglund M, Jeggari A, Rassidakis G, Sonnevi K, Sander B, Rosenquist R, Tham E, Smedby KE. Whole-genome informed circulating tumor DNA analysis by multiplex digital PCR for disease monitoring in B-cell lymphomas: a proof-of-concept study. Front Oncol 2023; 13:1176698. [PMID: 37333831 PMCID: PMC10272573 DOI: 10.3389/fonc.2023.1176698] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 05/02/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Analyzing liquid biopsies for tumor-specific aberrations can facilitate detection of measurable residual disease (MRD) during treatment and at follow-up. In this study, we assessed the clinical potential of using whole-genome sequencing (WGS) of lymphomas at diagnosis to identify patient-specific structural (SVs) and single nucleotide variants (SNVs) to enable longitudinal, multi-targeted droplet digital PCR analysis (ddPCR) of cell-free DNA (cfDNA). Methods In 9 patients with B-cell lymphoma (diffuse large B-cell lymphoma and follicular lymphoma), comprehensive genomic profiling at diagnosis was performed by 30X WGS of paired tumor and normal specimens. Patient-specific multiplex ddPCR (m-ddPCR) assays were designed for simultaneous detection of multiple SNVs, indels and/or SVs, with a detection sensitivity of 0.0025% for SV assays and 0.02% for SNVs/indel assays. M-ddPCR was applied to analyze cfDNA isolated from serially collected plasma at clinically critical timepoints during primary and/or relapse treatment and at follow-up. Results A total of 164 SNVs/indels were identified by WGS including 30 variants known to be functionally relevant in lymphoma pathogenesis. The most frequently mutated genes included KMT2D, PIM1, SOCS1 and BCL2. WGS analysis further identified recurrent SVs including t(14;18)(q32;q21) (IGH::BCL2), and t(6;14)(p25;q32) (IGH::IRF4). Plasma analysis at diagnosis showed positive circulating tumor DNA (ctDNA) levels in 88% of patients and the ctDNA burden correlated with baseline clinical parameters (LDH and sedimentation rate, p-value <0.01). While clearance of ctDNA levels after primary treatment cycle 1 was observed in 3/6 patients, all patients analyzed at final evaluation of primary treatment showed negative ctDNA, hence correlating with PET-CT imaging. One patient with positive ctDNA at interim also displayed detectable ctDNA (average variant allele frequency (VAF) 6.9%) in the follow-up plasma sample collected 2 years after final evaluation of primary treatment and 25 weeks before clinical manifestation of relapse. Conclusion In summary, we demonstrate that multi-targeted cfDNA analysis, using a combination of SNVs/indels and SVs candidates identified by WGS analysis, provides a sensitive tool for MRD monitoring and can detect lymphoma relapse earlier than clinical manifestation.
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Affiliation(s)
- Zahra Haider
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Tove Wästerlid
- Department of Medicine, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Linn Deleskog Spångberg
- Department of Medicine, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Leily Rabbani
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Jylhä
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Birna Thorvaldsdottir
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Aron Skaftason
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Hero Nikdin Awier
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Aleksandra Krstic
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Gellerbring
- Clinical Genomics Stockholm, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology, Stockholm, Sweden
| | - Anna Lyander
- Clinical Genomics Stockholm, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology, Stockholm, Sweden
| | - Moa Hägglund
- Clinical Genomics Stockholm, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology, Stockholm, Sweden
| | - Ashwini Jeggari
- Clinical Genomics Stockholm, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology, Stockholm, Sweden
| | - Georgios Rassidakis
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Laboratory, Stockholm, Sweden
| | - Kristina Sonnevi
- Department of Medicine, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Birgitta Sander
- Department of Laboratory Medicine, Division of Pathology and Cancer Diagnostics, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Genomic Medicine Center Karolinska, Karolinska University Hospital, Stockholm, Sweden
| | - Emma Tham
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Karin E. Smedby
- Department of Medicine, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
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25
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Robbe P, Schuh A. Genomic Stratification of Hematological Malignancies. Hemasphere 2023; 7:e902. [PMID: 37251914 PMCID: PMC10219718 DOI: 10.1097/hs9.0000000000000902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023] Open
Affiliation(s)
- Pauline Robbe
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Anna Schuh
- Department of Oncology, University of Oxford, United Kingdom
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26
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Davies AJ, Barrans S, Stanton L, Caddy J, Wilding S, Saunders G, Mamot C, Novak U, McMillan A, Fields P, Collins GP, Stephens R, Cucco F, Sha C, van Hoppe M, Tooze R, Davies JR, Griffiths G, Schuh A, Burton C, Westhead DR, Du MQ, Johnson PW. Differential Efficacy From the Addition of Bortezomib to R-CHOP in Diffuse Large B-Cell Lymphoma According to the Molecular Subgroup in the REMoDL-B Study With a 5-Year Follow-Up. J Clin Oncol 2023; 41:2718-2723. [PMID: 36972491 PMCID: PMC10414744 DOI: 10.1200/jco.23.00033] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/10/2023] [Indexed: 03/29/2023] Open
Abstract
Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported.The REMoDL-B phase III adaptive trial compared rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) versus R-CHOP + bortezomib (RB-CHOP) in patients with diffuse large B-cell lymphoma (DLBCL), stratified by molecular subtype. Primary analysis at a median follow-up of 30 months found no effect of bortezomib on progression-free survival (PFS) or overall survival (OS). Retrospective analysis using a gene expression-based classifier identified a molecular high-grade (MHG) group with worse outcomes. We present an updated analysis for patients successfully classified by the gene expression profile (GEP). Eligible patients were age older than 18 years with untreated DLBCL, fit enough for full-dose chemotherapy, and with adequate biopsies for GEP. Of 1,077 patients registered, 801 were identified with Activated B-Cell (ABC), Germinal Center B-cell, or MHG lymphoma. At a median follow-up of 64 months, there was no overall benefit of bortezomib on PFS or OS (5-year PFS hazard ratio [HR], 0.81; P = .085; OS HR, 0.86; P = .32). However, improved PFS and OS were seen in ABC lymphomas after RB-CHOP: 5-year OS 67% with R-CHOP versus 80% with RB-CHOP (HR, 0.58; 95% CI, 0.35 to 0.95; P = .032). Five-year PFS was higher in MHG lymphomas: 29% versus 55% (HR, 0.46; 95% CI, 0.26 to 0.84). Patients with ABC and MHG DLBCL may benefit from the addition of bortezomib to R-CHOP in initial therapy.
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Affiliation(s)
- Andrew J. Davies
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Sharon Barrans
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Louise Stanton
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Josh Caddy
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Sam Wilding
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Geoff Saunders
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | | | - Urban Novak
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrew McMillan
- Department of Haematology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | - Paul Fields
- Department of Haematology, Guy's and St Thomas's Hospitals NHS Trust, Kings Health Partners, London, United Kingdom
| | - Graham P. Collins
- Oxford Cancer and Haematology Centre, Churchill Hospital, Oxford, United Kingdom
| | - Richard Stephens
- National Cancer Research Institute Consumer Forum, London, United Kingdom
| | - Francesco Cucco
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Chulin Sha
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Moniek van Hoppe
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Reuben Tooze
- Section of Experimental Haematology, University of Leeds, Leeds, United Kingdom
| | - John R. Davies
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Gareth Griffiths
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Anna Schuh
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Catherine Burton
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - David R. Westhead
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Ming-Qing Du
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Peter W.M. Johnson
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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27
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Hilton LK, Ngu HS, Collinge B, Dreval K, Ben-Neriah S, Rushton CK, Wong JC, Cruz M, Roth A, Boyle M, Meissner B, Slack GW, Farinha P, Craig JW, Gerrie AS, Freeman CL, Villa D, Crump M, Shepherd L, Hay AE, Kuruvilla J, Savage KJ, Kridel R, Karsan A, Marra MA, Sehn LH, Steidl C, Morin RD, Scott DW. Relapse timing is associated with distinct evolutionary dynamics in DLBCL. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.06.23286584. [PMID: 36945587 PMCID: PMC10029038 DOI: 10.1101/2023.03.06.23286584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is cured in over 60% of patients, but outcomes are poor for patients with relapsed or refractory disease (rrDLBCL). Here, we performed whole genome/exome sequencing (WGS/WES) on tumors from 73 serially-biopsied patients with rrDLBCL. Based on the observation that outcomes to salvage therapy/autologous stem cell transplantation are related to time-to-relapse, we stratified patients into groups according to relapse timing to explore the relationship to genetic divergence and sensitivity to salvage immunochemotherapy. The degree of mutational divergence increased with time between biopsies, yet tumor pairs were mostly concordant for cell-of-origin, oncogene rearrangement status and genetics-based subgroup. In patients with highly divergent tumors, several genes acquired exclusive mutations independently in each tumor, which, along with concordance of genetics-based subgroups, suggests that the earliest mutations in a shared precursor cell constrain tumor evolution. These results suggest that late relapses commonly represent genetically distinct and chemotherapy-naïve disease.
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Affiliation(s)
- Laura K. Hilton
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Henry S. Ngu
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Brett Collinge
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kostiantyn Dreval
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Susana Ben-Neriah
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Christopher K. Rushton
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Jasper C.H. Wong
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Manuela Cruz
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Andrew Roth
- Department of Molecular Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Merrill Boyle
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Barbara Meissner
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Graham W. Slack
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Jeffrey W. Craig
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alina S. Gerrie
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ciara L. Freeman
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Diego Villa
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Michael Crump
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - Lois Shepherd
- Canadian Cancer Trials Group, Queens University, Kingston, ON, Canada
- Department of Medicine, Queens University, Kingston, ON, Canada
| | - Annette E. Hay
- Canadian Cancer Trials Group, Queens University, Kingston, ON, Canada
- Department of Medicine, Queens University, Kingston, ON, Canada
| | - John Kuruvilla
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Robert Kridel
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - Aly Karsan
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Marco A. Marra
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ryan D. Morin
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer Research Institute, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
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28
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Laurent C. [Histoseminar: "The contribution of new molecular biology techniques in the diagnosis of lymphoma: Myth or reality?"]. Ann Pathol 2023; 43:117-120. [PMID: 36797104 DOI: 10.1016/j.annpat.2023.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 02/16/2023]
Affiliation(s)
- Camille Laurent
- Département d'anatomie et cytologie pathologiques, institut universitaire du cancer Toulouse - Oncopole, 31059 Toulouse, France.
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29
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Slack GW. Diagnostic, Prognostic, and Predictive Role of Next-Generation Sequencing in Mature Lymphoid Neoplasms. Surg Pathol Clin 2023; 16:433-442. [PMID: 37149368 DOI: 10.1016/j.path.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Lymphoma is a clinically and biologically heterogeneous disease. Next-generation sequencing (NGS) has expanded our understanding of this heterogeneity at the genetic level, refining disease classification, defining new entities, and providing additional information that can be used in diagnosis and management. This review highlights some of the NGS findings in lymphoma and how they can be used as genetic biomarkers to aid diagnosis and prognosis and guide therapy.
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30
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Spriano F, Tarantelli C, Arribas AJ, Gaudio E, Cascione L, Aresu L, Rinaldi A, Zucca E, Rossi D, Stathis A, Murone M, Radtke F, Lehal R, Bertoni F. In vitro anti-lymphoma activity of the first-in-class pan-NOTCH transcription inhibitor CB-103. Br J Haematol 2023; 200:669-672. [PMID: 36484636 DOI: 10.1111/bjh.18576] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/15/2022] [Accepted: 11/15/2022] [Indexed: 12/13/2022]
Affiliation(s)
- Filippo Spriano
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland
| | - Chiara Tarantelli
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland
| | - Alberto J Arribas
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland.,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Eugenio Gaudio
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland
| | - Luciano Cascione
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland.,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Luca Aresu
- Department of Veterinary Science, University of Turin, Grugliasco, Turin, Italy
| | - Andrea Rinaldi
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland
| | - Emanuele Zucca
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland.,Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Davide Rossi
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland.,Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Anastasios Stathis
- Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.,Faculty of Biomedical Sciences, USI, Lugano, Switzerland
| | | | - Freddy Radtke
- Swiss Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | | | - Francesco Bertoni
- Faculty of Biomedical Sciences, Institute of Oncology Research, USI, Bellinzona, Switzerland.,Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
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31
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Huang D, Berglund M, Damdimopoulos A, Antonson P, Lindskog C, Enblad G, Amini RM, Okret S. Sex- and Female Age-Dependent Differences in Gene Expression in Diffuse Large B-Cell Lymphoma-Possible Estrogen Effects. Cancers (Basel) 2023; 15:cancers15041298. [PMID: 36831639 PMCID: PMC9954534 DOI: 10.3390/cancers15041298] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/09/2023] [Accepted: 02/15/2023] [Indexed: 02/22/2023] Open
Abstract
For most lymphomas, including diffuse large B-cell lymphoma (DLBCL), the male incidence is higher, and the prognosis is worse compared to females. The reasons are unclear; however, epidemiological and experimental data suggest that estrogens are involved. With this in mind, we analyzed gene expression data from a publicly available cohort (EGAD00001003600) of 746 DLBCL samples based on RNA sequencing. We found 1293 genes to be differentially expressed between males and females (adj. p-value < 0.05). Few autosomal genes and pathways showed common sex-regulated expression between germinal center B-cell (GCB) and activated B-cell lymphoma (ABC) DLBCL. Analysis of differentially expressed genes between pre- vs. postmenopausal females identified 208 GCB and 345 ABC genes, with only 5 being shared. When combining the differentially expressed genes between females vs. males and pre- vs. postmenopausal females, nine putative estrogen-regulated genes were identified in ABC DLBCL. Two of them, NR4A2 and MUC5B, showed induced and repressed expression, respectively. Interestingly, NR4A2 has been reported as a tumor suppressor in lymphoma. We show that ABC DLBCL females with a high NR4A2 expression showed better survival. Inversely, MUC5B expression causes a more malignant phenotype in several cancers. NR4A2 and MUC5B were confirmed to be estrogen-regulated when the ABC cell line U2932 was grafted to mice. The results demonstrate sex- and female reproductive age-dependent differences in gene expression between DLBCL subtypes, likely due to estrogens. This may contribute to the sex differences in incidence and prognosis.
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Affiliation(s)
- Dan Huang
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
| | - Mattias Berglund
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
| | - Anastasios Damdimopoulos
- Bioinformatics and Expression Core Facility, Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
| | - Per Antonson
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Gunilla Enblad
- Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Rose-Marie Amini
- Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Sam Okret
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
- Correspondence: ; Tel.: +46-8-524-81069
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32
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Epstein-Barr Virus and the Pathogenesis of Diffuse Large B-Cell Lymphoma. Life (Basel) 2023; 13:life13020521. [PMID: 36836878 PMCID: PMC9967091 DOI: 10.3390/life13020521] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 02/17/2023] Open
Abstract
Epstein-Barr virus (EBV), defined as a group I carcinogen by the World Health Organization (WHO), is present in the tumour cells of patients with different forms of B-cell lymphoma, including Burkitt lymphoma, Hodgkin lymphoma, post-transplant lymphoproliferative disorders, and, most recently, diffuse large B-cell lymphoma (DLBCL). Understanding how EBV contributes to the development of these different types of B-cell lymphoma has not only provided fundamental insights into the underlying mechanisms of viral oncogenesis, but has also highlighted potential new therapeutic opportunities. In this review, we describe the effects of EBV infection in normal B-cells and we address the germinal centre model of infection and how this can lead to lymphoma in some instances. We then explore the recent reclassification of EBV+ DLBCL as an established entity in the WHO fifth edition and ICC 2022 classifications, emphasising the unique nature of this entity. To that end, we also explore the unique genetic background of this entity and briefly discuss the potential role of the tumour microenvironment in lymphomagenesis and disease progression. Despite the recent progress in elucidating the mechanisms of this malignancy, much work remains to be done to improve patient stratification, treatment strategies, and outcomes.
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33
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McCurry D, Flowers CR, Bermack C. Immune-based therapies in diffuse large B-cell lymphoma. Expert Opin Investig Drugs 2023; 32:479-493. [PMID: 37394970 DOI: 10.1080/13543784.2023.2230137] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/23/2023] [Indexed: 07/04/2023]
Abstract
INTRODUCTION Diffuse large B-cell lymphoma (DLBCL) is an aggressive and clinically heterogeneous malignancy originating from B-cells with up to 40% of patients experiencing primary refractory disease or relapse after first-line treatment. However, the past 5 years have seen a flurry of new drug approvals for DLBCL anchored upon new immune therapies, including chimeric antigen receptor (CAR) T-cells and antibody-based therapies. AREAS COVERED This article summarizes recent advances in the treatment of DLBCL, including in the first line and relapsed and refractory setting (second-line and beyond). A literature search was conducted for publications relevant to the immunotherapeutic approach to DLBCL from 2000 through March 2023 within PubMed and articles were reviewed. The search terms were immunotherapy, monoclonal antibodies, chimeric antigen receptor modified T-cell (CAR-T), and classification of DLBCL. Relevant clinical trials and pre-clinical studies exploring the strengths and weaknesses of current immune therapies against DLBCL were chosen. We additionally explored how intrinsic differences amongst DLBCL subtype biology and endogenous host immune recruitment contribute to variable therapeutic efficacy. EXPERT OPINION Future treatments will minimize chemotherapy exposure and be chosen by underlying tumor biology, paving the way for the promise of chemotherapeutic free regimens and improved outcomes for poor-risk subgroups.
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Affiliation(s)
- Dustin McCurry
- Oncology Fellow, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Christopher R Flowers
- Division Head Ad Interim of Cancer Medicine, Chair and Professor of the Department of Lymphoma-Myeloma, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Casey Bermack
- Oncology Fellow, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
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34
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Song JY, Dirnhofer S, Piris MA, Quintanilla-Martínez L, Pileri S, Campo E. Diffuse large B-cell lymphomas, not otherwise specified, and emerging entities. Virchows Arch 2023; 482:179-192. [PMID: 36459219 DOI: 10.1007/s00428-022-03466-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/03/2022]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is an aggressive and heterogenous group of diseases and the most common subtype of non-Hodgkin lymphoma. In the past decade, there has been an explosion in molecular profiling that has helped to identify subgroups and shared oncogenic driving mechanisms. Since the 2017 World Health Organization (WHO) classification, additional studies investigating these genomic abnormalities and phenotypic findings have been reported. Here we review these findings in DLBCL and address the proposed changes by the 2022 International Consensus Classification.
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Affiliation(s)
- Joo Y Song
- Department of Pathology, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Miguel A Piris
- Servicio de Anatomia Patologica, Fundacion Jimenez Diaz, CIBERONC, Madrid, Spain
| | - Leticia Quintanilla-Martínez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT, Image-Guided and Functionally Instructed Tumor Therapy, Tübingen, Germany
| | - Stefano Pileri
- Division of Hematopathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Elias Campo
- Hematopathology Unit, Hospital Clinic of Barcelona, Institute for Biomedical Research August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
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35
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Cutmore NH, Krupka JA, Hodson DJ. Genetic Profiling in Diffuse Large B-Cell Lymphoma: The Promise and the Challenge. Mod Pathol 2023; 36:100007. [PMID: 36788062 PMCID: PMC7614242 DOI: 10.1016/j.modpat.2022.100007] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/08/2022] [Accepted: 09/19/2022] [Indexed: 01/19/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma. Over the previous 2 decades, tremendous progress has been made in our understanding of the molecular pathogenesis of DLBCL. However, this biological understanding has not yet been translated into improved first-line therapy. A major barrier to the introduction of molecularly targeted therapy in DLBCL is the considerable molecular heterogeneity of this disease. Recent studies have tried to rationalize this heterogeneity by proposing new genetic subtypes of DLBCL. Although remarkable consensus exists over the broad nature of these genetic subtypes, important questions remain over precisely how, or even why, genetic subtyping might be incorporated into diagnostic laboratories. In this review, we compare the findings of the major genetic subtyping studies and discuss the implications this may have for diagnostic pathology services and the management of DLBCL.
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Affiliation(s)
- Natasha H Cutmore
- Wellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Joanna A Krupka
- Wellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Daniel J Hodson
- Wellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
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36
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Falini B, Martino G, Lazzi S. A comparison of the International Consensus and 5th World Health Organization classifications of mature B-cell lymphomas. Leukemia 2023; 37:18-34. [PMID: 36460764 PMCID: PMC9883170 DOI: 10.1038/s41375-022-01764-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 12/03/2022]
Abstract
Several editions of the World Health Organization (WHO) classifications of lympho-hemopoietic neoplasms in 2001, 2008 and 2017 served as the international standard for diagnosis. Since the 4th WHO edition, here referred as WHO-HAEM4, significant clinico-pathological, immunophenotypic and molecular advances have been made in the field of lymphomas, contributing to refining diagnostic criteria of several diseases, to upgrade entities previously defined as provisional and to identify new entities. This process has resulted in two recent classifying proposals of lymphoid neoplasms, the International Consensus Classification (ICC) and the 5th edition of the WHO classification (WHO-HAEM5). In this paper, we review and compare the two classifications in terms of diagnostic criteria and entity definition, with focus on mature B-cell neoplasms. The main aim is to provide a tool to facilitate the work of pathologists, hematologists and researchers involved in the diagnosis and treatment of lymphomas.
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Affiliation(s)
- Brunangelo Falini
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy.
| | - Giovanni Martino
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy
| | - Stefano Lazzi
- Institute of Pathology, Department of Medical Biotechnology, University of Siena, Siena, Italy
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37
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de Leval L, Alizadeh AA, Bergsagel PL, Campo E, Davies A, Dogan A, Fitzgibbon J, Horwitz SM, Melnick AM, Morice WG, Morin RD, Nadel B, Pileri SA, Rosenquist R, Rossi D, Salaverria I, Steidl C, Treon SP, Zelenetz AD, Advani RH, Allen CE, Ansell SM, Chan WC, Cook JR, Cook LB, d’Amore F, Dirnhofer S, Dreyling M, Dunleavy K, Feldman AL, Fend F, Gaulard P, Ghia P, Gribben JG, Hermine O, Hodson DJ, Hsi ED, Inghirami G, Jaffe ES, Karube K, Kataoka K, Klapper W, Kim WS, King RL, Ko YH, LaCasce AS, Lenz G, Martin-Subero JI, Piris MA, Pittaluga S, Pasqualucci L, Quintanilla-Martinez L, Rodig SJ, Rosenwald A, Salles GA, San-Miguel J, Savage KJ, Sehn LH, Semenzato G, Staudt LM, Swerdlow SH, Tam CS, Trotman J, Vose JM, Weigert O, Wilson WH, Winter JN, Wu CJ, Zinzani PL, Zucca E, Bagg A, Scott DW. Genomic profiling for clinical decision making in lymphoid neoplasms. Blood 2022; 140:2193-2227. [PMID: 36001803 PMCID: PMC9837456 DOI: 10.1182/blood.2022015854] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 01/28/2023] Open
Abstract
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
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Affiliation(s)
- Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Ash A. Alizadeh
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Stanford Cancer Institute, Stanford University, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Andrew Davies
- Centre for Cancer Immunology, University of Southampton, Southampton, United Kingdom
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Steven M. Horwitz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Stefano A. Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, IEO, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Davide Rossi
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | | | - Andrew D. Zelenetz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Ranjana H. Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Carl E. Allen
- Division of Pediatric Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | | | - Wing C. Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - James R. Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Lucy B. Cook
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Francesco d’Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kieron Dunleavy
- Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, AP-HP, Créteil, France
- Faculty of Medicine, IMRB, INSERM U955, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
| | - John G. Gribben
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Olivier Hermine
- Service D’hématologie, Hôpital Universitaire Necker, Université René Descartes, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Eric D. Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kennosuke Karube
- Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Toyko, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Wolfram Klapper
- Hematopathology Section and Lymph Node Registry, Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Won Seog Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Rebecca L. King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Young H. Ko
- Department of Pathology, Cheju Halla General Hospital, Jeju, Korea
| | | | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - José I. Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Miguel A. Piris
- Department of Pathology, Jiménez Díaz Foundation University Hospital, CIBERONC, Madrid, Spain
| | - Stefania Pittaluga
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY
- Department of Pathology & Cell Biology, Columbia University, New York, NY
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | - Gilles A. Salles
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Navarra, Cancer Center of University of Navarra, Cima Universidad de NavarraI, Instituto de Investigacion Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Céncer, Pamplona, Spain
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Gianpietro Semenzato
- Department of Medicine, University of Padua and Veneto Institute of Molecular Medicine, Padova, Italy
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Judith Trotman
- Haematology Department, Concord Repatriation General Hospital, Sydney, Australia
| | - Julie M. Vose
- Department of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE
| | - Oliver Weigert
- Department of Medicine III, LMU Hospital, Munich, Germany
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jane N. Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Pier L. Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Istitudo di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale Università di Bologna, Bologna, Italy
| | - Emanuele Zucca
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
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Campo E, Jaffe ES, Cook JR, Quintanilla-Martinez L, Swerdlow SH, Anderson KC, Brousset P, Cerroni L, de Leval L, Dirnhofer S, Dogan A, Feldman AL, Fend F, Friedberg JW, Gaulard P, Ghia P, Horwitz SM, King RL, Salles G, San-Miguel J, Seymour JF, Treon SP, Vose JM, Zucca E, Advani R, Ansell S, Au WY, Barrionuevo C, Bergsagel L, Chan WC, Cohen JI, d'Amore F, Davies A, Falini B, Ghobrial IM, Goodlad JR, Gribben JG, Hsi ED, Kahl BS, Kim WS, Kumar S, LaCasce AS, Laurent C, Lenz G, Leonard JP, Link MP, Lopez-Guillermo A, Mateos MV, Macintyre E, Melnick AM, Morschhauser F, Nakamura S, Narbaitz M, Pavlovsky A, Pileri SA, Piris M, Pro B, Rajkumar V, Rosen ST, Sander B, Sehn L, Shipp MA, Smith SM, Staudt LM, Thieblemont C, Tousseyn T, Wilson WH, Yoshino T, Zinzani PL, Dreyling M, Scott DW, Winter JN, Zelenetz AD. The International Consensus Classification of Mature Lymphoid Neoplasms: a report from the Clinical Advisory Committee. Blood 2022; 140:1229-1253. [PMID: 35653592 PMCID: PMC9479027 DOI: 10.1182/blood.2022015851] [Citation(s) in RCA: 545] [Impact Index Per Article: 272.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/18/2022] [Indexed: 11/20/2022] Open
Abstract
Since the publication of the Revised European-American Classification of Lymphoid Neoplasms in 1994, subsequent updates of the classification of lymphoid neoplasms have been generated through iterative international efforts to achieve broad consensus among hematopathologists, geneticists, molecular scientists, and clinicians. Significant progress has recently been made in the characterization of malignancies of the immune system, with many new insights provided by genomic studies. They have led to this proposal. We have followed the same process that was successfully used for the third and fourth editions of the World Health Organization Classification of Hematologic Neoplasms. The definition, recommended studies, and criteria for the diagnosis of many entities have been extensively refined. Some categories considered provisional have now been upgraded to definite entities. Terminology for some diseases has been revised to adapt nomenclature to the current knowledge of their biology, but these modifications have been restricted to well-justified situations. Major findings from recent genomic studies have impacted the conceptual framework and diagnostic criteria for many disease entities. These changes will have an impact on optimal clinical management. The conclusions of this work are summarized in this report as the proposed International Consensus Classification of mature lymphoid, histiocytic, and dendritic cell tumors.
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Affiliation(s)
- Elias Campo
- Haematopathology Section, Hospital Clínic of Barcelona, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Centro de Investigación Biomédica en Red de Cancer (CIBERONC), Barcelona, Spain
| | - Elaine S Jaffe
- Hematopathology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - James R Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Steven H Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Pierre Brousset
- Department of Pathology, Institut Universitaire du Cancer de Toulouse-Oncopole, and Laboratoire d'Excellence Toulouse Cancer, Toulouse, France
| | - Lorenzo Cerroni
- Department of Dermatology, Medical University of Graz, Graz, Austria
| | - Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ahmet Dogan
- Laboratory of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew L Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | | | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, Assistance Publique-Hôpitaux de Paris (AP-HP), Créteil, France
- Mondor Institute for Biomedical Research, INSERM U955, Faculty of Medicine, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Strategic Research Program on Chronic Lymphocytic Leukemia, Division of Experimental Oncology, IRCCS Ospedale San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
| | - Steven M Horwitz
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Rebecca L King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Gilles Salles
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, CIBERONC, Pamplona, Spain
| | - John F Seymour
- Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | | | - Julie M Vose
- Division of Hematology-Oncology, Department of Internal Medicine, University of Nebraska Medical Center, University of Nebraska, Omaha, NE
| | - Emanuele Zucca
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, and Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Ranjana Advani
- Stanford Cancer Center, Blood and Marrow Transplant Program, Stanford University, Stanford, CA
| | - Stephen Ansell
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Wing-Yan Au
- Blood-Med Clinic, Hong Kong, People's Republic of China
| | - Carlos Barrionuevo
- Department of Pathology, Instituto Nacional de Enfermedades Neoplásicas, Faculty of Medicine, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Wing C Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - Jeffrey I Cohen
- Medical Virology Section, Laboratory of Infectious Diseases, National Institutes of Health, National Institute of Allergy and Infectious Diseases, Bethesda, MD
| | - Francesco d'Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Andrew Davies
- Cancer Research UK Centre, Centre for Cancer Immunology, Faculty of Medicine, Southampton General Hospital, University of Southampton, Southampton, United Kingdom
| | - Brunangelo Falini
- Institute of Hematology and Center for Hemato-Oncology Research, Hospital of Perugia, University of Perugia , Perugia, Italy
| | - Irene M Ghobrial
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Harvard University, Boston, MA
| | - John R Goodlad
- National Health Service Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - John G Gribben
- Department of Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Eric D Hsi
- Department of Pathology, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC
| | - Brad S Kahl
- Oncology Division, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO
| | - Won-Seog Kim
- Hematology and Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Shaji Kumar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | | | - Camille Laurent
- Department of Pathology, Institut Universitaire du Cancer de Toulouse-Oncopole, and Laboratoire d'Excellence Toulouse Cancer, Toulouse, France
| | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - John P Leonard
- Weill Department of Medicine, Weill Medical College, Cornell University, New York, NY
| | - Michael P Link
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, Stanford University School of Medicine, Stanford University, Stanford, CA
| | - Armando Lopez-Guillermo
- Department of Hematology, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Maria Victoria Mateos
- Department of Hematology, Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Centro de Investigación del Cancer, Universidad de Salamanca, Salamanca, Spain
| | - Elizabeth Macintyre
- Laboratoire d'Onco-Hématologie, AP-HP, Hôpital Necker-Enfants Malades, Université de Paris Cité and Institut Necker-Enfants Malades, Paris, France
| | - Ari M Melnick
- Division of Hematology and Oncology, Weill Medical College, Cornell University, New York, NY
| | - Franck Morschhauser
- Department of Hematology, Centre Hospitalier Universitaire de Lille, University Lille, Lille, France
| | - Shigeo Nakamura
- Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Marina Narbaitz
- Department of Pathology, Instituto de Investigaciones Hematológicas, Academia Nacional de Medicina and Fundacion para combatir la leucemia (FUNDALEU), Buenos Aires, Argentina
| | - Astrid Pavlovsky
- Fundación para Combatir la Leucemia (FUNDALEU), Centro de Hematología Pavlovsky, Buenos Aires, Argentina
| | - Stefano A Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, Milan, Italy
| | - Miguel Piris
- Jiménez Díaz Foundation University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Barbara Pro
- Division of Hematology and Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Vincent Rajkumar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Steven T Rosen
- Beckman Research Institute, and Department of Hematology & Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA
| | - Birgitta Sander
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Laurie Sehn
- Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Sonali M Smith
- Section of Hematology/Oncology, University of Chicago, Chicago, IL
| | - Louis M Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Catherine Thieblemont
- Service Hémato-Oncologie, AP-HP, Hôpital Saint-Louis, Paris, France
- DMU-DHI, Université de Paris-Paris Diderot, Paris, France
| | - Thomas Tousseyn
- Department of Pathology, Universitair Ziekenhuis Leuven Hospitals, Leuven, Belgium
| | - Wyndham H Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Tadashi Yoshino
- Department of Pathology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Pier-Luigi Zinzani
- Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Martin Dreyling
- Department of Medicine III, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - David W Scott
- Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Jane N Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL; and
| | - Andrew D Zelenetz
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College, Cornell University, New York, NY
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Chemotherapy-free treatment in unfit patients aged 75 years and older with DLBCL: toward a new paradigm? THE LANCET. HEALTHY LONGEVITY 2022; 3:e453-e454. [PMID: 36102755 DOI: 10.1016/s2666-7568(22)00150-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 01/15/2023] Open
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Xiang X, Gao LM, Zhang Y, Tang Y, Zhao S, Liu W, Ye Y, Zhang W. Identification of FCER1G related to Activated Memory CD4 + T Cells Infiltration by Gene Co-expression Network and Construction of a Risk Prediction Module in Diffuse Large B-Cell Lymphoma. Front Genet 2022; 13:849422. [PMID: 35711924 PMCID: PMC9196638 DOI: 10.3389/fgene.2022.849422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/26/2022] [Indexed: 02/05/2023] Open
Abstract
Diffuse large B cell lymphoma (DLBCL) is a group of biologically heterogeneous tumors with different prognoses. The tumor microenvironment plays a vital role in the tumorigenesis and development of DLBCL, and activated memory CD4+ T cells are an essential component of immunological cells in the lymphoma microenvironment. So far, there are few reports about activated memory CD4+T cells infiltration and related genes in the DLBCL tumor microenvironment. This study obtained the mRNA expression profile information of the testing GSE87371 dataset and another six validation datasets (GSE53786, GSE181063, GSE10846, GSE32918, GSE32018, GSE9327, GSE3892, TCGA-DLBC) from the GEO and TCGA databases. Weighted Gene Co-expression Network Analysis (WGCNA) screened gene module associated with activated memory CD4+ T cells infiltration. CIBERSORT and TIMER (immune cells infiltrating estimation analysis tools) were used to identify the relationship between activated memory CD4+ T cells and genes associated with immune infiltrating cells in the tumor microenvironment. The least absolute shrinkage and selection operator (LASSO) built the risk prediction model and verified it using nomogram and Kaplan-Meier analysis. Further functional characterization includes Gene Ontology, KEGG pathway analysis and Gene Set Enrichment Analysis (GSEA) to investigate the role and underlying mechanisms of these genes. These results suggest that the expression of FCER1G can reflect the invasion of activated memory CD4+ T cells in DLBCL, which provides a new idea for studying the tumor microenvironment and may become a potential predictive biomarker for the assessment of DLBCL.
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Affiliation(s)
- Xiaoyu Xiang
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Li-Min Gao
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Yuehua Zhang
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Yuan Tang
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Sha Zhao
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Weiping Liu
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Yunxia Ye
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
| | - Wenyan Zhang
- Department of Pathology, West China Hospital of Sichuan University, Chengdu, China
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41
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Jiang J, Lyu W, Chen N. A bibliometric analysis of diffuse large B-cell lymphoma research from 2001 to 2020. Comput Biol Med 2022; 146:105565. [PMID: 35594683 DOI: 10.1016/j.compbiomed.2022.105565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 04/07/2022] [Accepted: 04/25/2022] [Indexed: 11/25/2022]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a subtype of non-Hodgkin lymphoma (NHL) with the highest incidence, accounting for approximately one-third of NHL cases. Given the accumulated scientific publications related to the DLBCL domain, this study aimed to provide a comprehensive review of DLBCL studies from this millennium using the bibliometric method. With a strict retrieval strategy applied in the Web of Science database, a total of 10,869 publications from 2001 to 2020 were obtained and exported. The temporal and geographical distribution of these publications and the performance of contributing countries, institutions, journals, and authors corresponding to these documents were investigated, as well as an in-depth content analysis through keyword co-occurrence. With regard to the most productive countries, the United States ranks first with 2344 (21.6%) publications and shows the most frequent collaborations with other countries. By contrast, China has demonstrated remarkable performance in the growth rate of publications over the years, and it ranks first in the number of publications in the last five years. The University of Texas System is the institution with the highest number of published articles (4.99%). Leukemia Lymphoma is the journal with the highest number of publications in this field which contributed 588 articles. Solid and close collaborations between scholars are becoming more frequent over the four five-year periods. Overall, the highest cooperation frequency in the last two decades happens to Gascoyne RD at the British Columbia Cancer Agency and British Columbia Cancer Research Center in Canada. By comparing the article citation and keyword co-occurrence in each five-year period, as well as the changes in keyword clusters over two decades, we conclude that the stage, evaluation, prognosis, and treatment of DLBCL have always been the research hotspots in this field. Meanwhile, the evolution of keyword co-occurrence over the years demonstrates that new clusters appear. For instance, the effect of ferroptosis mechanism in DLBCL, immunotherapy for DLBCL, and PDL-1, PDL-2, and CAR-T therapy have drawn increasing attention from academia. Our research highlights the key characteristics of DLBCL research and provides comprehensive insights into the research status and evolutions in this field.
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Affiliation(s)
- Junyi Jiang
- Center for Science Communication and Achievement Transformation, National Natural Science Foundation of China, 100085, Beijing, China
| | - Wei Lyu
- School of Business Administration, Northeastern University, 110169, Shenyang, Liaoning, China
| | - Na Chen
- Department of Hematology, Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong, China; Department of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, 250021, Jinan, Shandong, China.
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42
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López C, Schleussner N, Bernhart SH, Kleinheinz K, Sungalee S, Sczakiel HL, Kretzmer H, Toprak UH, Glaser S, Wagener R, Ammerpohl O, Bens S, Giefing M, González Sánchez JC, Apic G, Hübschmann D, Janz M, Kreuz M, Mottok A, Müller JM, Seufert J, Hoffmann S, Korbel JO, Russell RB, Schüle R, Trümper L, Klapper W, Radlwimmer B, Lichter P, Küppers R, Schlesner M, Mathas S, Siebert R. Focal structural variants revealed by whole genome sequencing disrupt the histone demethylase KDM4C in B-cell lymphomas. Haematologica 2022; 108:543-554. [PMID: 35522148 PMCID: PMC9890021 DOI: 10.3324/haematol.2021.280005] [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: 09/13/2021] [Indexed: 02/03/2023] Open
Abstract
Histone methylation-modifiers, such as EZH2 and KMT2D, are recurrently altered in B-cell lymphomas. To comprehensively describe the landscape of alterations affecting genes encoding histone methylation-modifiers in lymphomagenesis we investigated whole genome and transcriptome data of 186 mature B-cell lymphomas sequenced in the ICGC MMML-Seq project. Besides confirming common alterations of KMT2D (47% of cases), EZH2 (17%), SETD1B (5%), PRDM9 (4%), KMT2C (4%), and SETD2 (4%), also identified by prior exome or RNA-sequencing studies, we here found recurrent alterations to KDM4C in chromosome 9p24, encoding a histone demethylase. Focal structural variation was the main mechanism of KDM4C alterations, and was independent from 9p24 amplification. We also identified KDM4C alterations in lymphoma cell lines including a focal homozygous deletion in a classical Hodgkin lymphoma cell line. By integrating RNA-sequencing and genome sequencing data we predict that KDM4C structural variants result in loss-offunction. By functional reconstitution studies in cell lines, we provide evidence that KDM4C can act as a tumor suppressor. Thus, we show that identification of structural variants in whole genome sequencing data adds to the comprehensive description of the mutational landscape of lymphomas and, moreover, establish KDM4C as a putative tumor suppressive gene recurrently altered in subsets of B-cell derived lymphomas.
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Affiliation(s)
- Cristina López
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany,*CL and NS contributed equally as co-first authors
| | - Nikolai Schleussner
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany,*CL and NS contributed equally as co-first authors
| | - Stephan H. Bernhart
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany,Bioinformatics Group, Department of Computer, University of Leipzig, Leipzig, Germany,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Kortine Kleinheinz
- Department for Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and Bioquant, University of Heidelberg, Heidelberg, Germany
| | | | - Henrike L. Sczakiel
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany
| | - Helene Kretzmer
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany,Bioinformatics Group, Department of Computer, University of Leipzig, Leipzig, Germany,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany,Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Umut H. Toprak
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), Heidelberg, Germany,Faculty of Biosciences, Heidelberg University, Heidelberg, Germany,Hopp-Children’s Cancer Center at the NCT Heidelberg (KiTZ), Division of Neuroblastoma Genomics (B087), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Selina Glaser
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Rabea Wagener
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Ole Ammerpohl
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Susanne Bens
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Maciej Giefing
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany,Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | | | - Gordana Apic
- BioQuant and Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Heidelberg, Germany
| | - Daniel Hübschmann
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Department for Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and Bioquant, University of Heidelberg, Heidelberg, Germany,German Cancer Consortium (DKTK), Heidelberg, Germany,Heidelberg Institute of Stem Cell Technology and Experimental Medicine (HI-STEM), Heidelberg, Germany
| | - Martin Janz
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany
| | - Markus Kreuz
- Institute for Medical Informatics Statistics and Epidemiology, Leipzig, Germany
| | - Anja Mottok
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Judith M. Müller
- Klinik fur Urologie und Zentrale Klinische Forschung, Klinikum der Albert-Ludwigs-Universität Freiburg, Freiburg, Germany
| | - Julian Seufert
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steve Hoffmann
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany,Bioinformatics Group, Department of Computer, University of Leipzig, Leipzig, Germany,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany,Leibniz Institute on Ageing-Fritz Lipmann Institute (FLI), Computational Biology, Jena, Germany
| | - Jan O. Korbel
- EMBL Heidelberg, Genome Biology Unit, Heidelberg,, Germany
| | - Robert B. Russell
- BioQuant and Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Heidelberg, Germany
| | - Roland Schüle
- Klinik fur Urologie und Zentrale Klinische Forschung, Klinikum der Albert-Ludwigs-Universität Freiburg, Freiburg, Germany,BIOSS Centre of Biological Signalling Studies, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Lorenz Trümper
- Department of Hematology and Oncology, Georg-August-University of Göttingen, Göttingen, Germany
| | - Wolfram Klapper
- Hematopathology Section, Christian-Albrechts-University, Kiel, Germany
| | - Bernhard Radlwimmer
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Lichter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany, and German Cancer Consortium (DKTK)
| | - Matthias Schlesner
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), Heidelberg, Germany,Biomedical Informatics, Data Mining and Data Analytics, Augsburg University, Augsburg, Germany
| | - Stephan Mathas
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany,SM and RS contributed equally as co-senior authors
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany,SM and RS contributed equally as co-senior authors
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de Groot FA, de Groen RAL, van den Berg A, Jansen PM, Lam KH, Mutsaers PGNJ, van Noesel CJM, Chamuleau MED, Stevens WBC, Plaça JR, Mous R, Kersten MJ, van der Poel MMW, Tousseyn T, Woei-a-Jin FJSH, Diepstra A, Nijland M, Vermaat JSP. Biological and Clinical Implications of Gene-Expression Profiling in Diffuse Large B-Cell Lymphoma: A Proposal for a Targeted BLYM-777 Consortium Panel as Part of a Multilayered Analytical Approach. Cancers (Basel) 2022; 14:cancers14081857. [PMID: 35454765 PMCID: PMC9028345 DOI: 10.3390/cancers14081857] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 02/04/2023] Open
Abstract
Gene-expression profiling (GEP) is used to study the molecular biology of lymphomas. Here, advancing insights from GEP studies in diffuse large B-cell lymphoma (DLBCL) lymphomagenesis are discussed. GEP studies elucidated subtypes based on cell-of-origin principles and profoundly changed the biological understanding of DLBCL with clinical relevance. Studies integrating GEP and next-generation DNA sequencing defined different molecular subtypes of DLBCL entities originating at specific anatomical localizations. With the emergence of high-throughput technologies, the tumor microenvironment (TME) has been recognized as a critical component in DLBCL pathogenesis. TME studies have characterized so-called "lymphoma microenvironments" and "ecotypes". Despite gained insights, unexplained chemo-refractoriness in DLBCL remains. To further elucidate the complex biology of DLBCL, we propose a novel targeted GEP consortium panel, called BLYM-777. This knowledge-based biology-driven panel includes probes for 777 genes, covering many aspects regarding B-cell lymphomagenesis (f.e., MYC signature, TME, immune surveillance and resistance to CAR T-cell therapy). Regarding lymphomagenesis, upcoming DLBCL studies need to incorporate genomic and transcriptomic approaches with proteomic methods and correlate these multi-omics data with patient characteristics of well-defined and homogeneous cohorts. This multilayered methodology potentially enhances diagnostic classification of DLBCL subtypes, prognostication, and the development of novel targeted therapeutic strategies.
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Affiliation(s)
- Fleur A. de Groot
- Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (F.A.d.G.); (R.A.L.d.G.)
| | - Ruben A. L. de Groen
- Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (F.A.d.G.); (R.A.L.d.G.)
| | - Anke van den Berg
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (A.v.d.B.); (J.R.P.); (A.D.)
| | - Patty M. Jansen
- Department of Pathology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
| | - King H. Lam
- Department of Pathology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands;
| | - Pim G. N. J. Mutsaers
- Department of Hematology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands;
| | - Carel J. M. van Noesel
- Department of Pathology, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands;
| | - Martine E. D. Chamuleau
- Cancer Center Amsterdam and LYMMCARE, Department of Hematology, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands; (M.E.D.C.); (M.J.K.)
| | - Wendy B. C. Stevens
- Department of Hematology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands;
| | - Jessica R. Plaça
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (A.v.d.B.); (J.R.P.); (A.D.)
| | - Rogier Mous
- Department of Hematology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands;
| | - Marie José Kersten
- Cancer Center Amsterdam and LYMMCARE, Department of Hematology, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands; (M.E.D.C.); (M.J.K.)
| | - Marjolein M. W. van der Poel
- Department of Internal Medicine, Division of Hematology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
| | - Thomas Tousseyn
- Department of Pathology, University Hospitals Leuven, 3000 Leuven, Belgium;
| | | | - Arjan Diepstra
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (A.v.d.B.); (J.R.P.); (A.D.)
| | - Marcel Nijland
- Department of Hematology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Joost S. P. Vermaat
- Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (F.A.d.G.); (R.A.L.d.G.)
- Correspondence:
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44
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Shared and distinct genetic features in human and canine B-cell lymphomas. Blood Adv 2022; 6:3404-3409. [PMID: 35359007 PMCID: PMC9198934 DOI: 10.1182/bloodadvances.2021006429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/08/2022] [Indexed: 11/30/2022] Open
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45
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Genta S, Ghilardi G, Cascione L, Juskevicius D, Tzankov A, Schär S, Milan L, Pirosa MC, Esposito F, Ruberto T, Giovanella L, Hayoz S, Mamot C, Dirnhofer S, Zucca E, Ceriani L. Integration of Baseline Metabolic Parameters and Mutational Profiles Predicts Long-Term Response to First-Line Therapy in DLBCL Patients: A Post Hoc Analysis of the SAKK38/07 Study. Cancers (Basel) 2022; 14:cancers14041018. [PMID: 35205765 PMCID: PMC8870624 DOI: 10.3390/cancers14041018] [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: 12/13/2021] [Revised: 02/10/2022] [Accepted: 02/14/2022] [Indexed: 12/16/2022] Open
Abstract
Accurate estimation of the progression risk after first-line therapy represents an unmet clinical need in diffuse large B-cell lymphoma (DLBCL). Baseline (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) parameters, together with genetic analysis of lymphoma cells, could refine the prediction of treatment failure. We evaluated the combined impact of mutation profiling and baseline PET/CT functional parameters on the outcome of DLBCL patients treated with the R-CHOP14 regimen in the SAKK38/07 clinical trial (NCT00544219). The concomitant presence of mutated SOCS1 with wild-type CREBBP and EP300 defined a group of patients with a favorable prognosis and 2-year progression-free survival (PFS) of 100%. Using an unsupervised recursive partitioning approach, we generated a classification-tree algorithm that predicts treatment outcomes. Patients with elevated metabolic tumor volume (MTV) and high metabolic heterogeneity (MH) (15%) had the highest risk of relapse. Patients with low MTV and favorable mutational profile (9%) had the lowest risk, while the remaining patients constituted the intermediate-risk group (76%). The resulting model stratified patients among three groups with 2-year PFS of 100%, 82%, and 42%, respectively (p < 0.001).
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Affiliation(s)
- Sofia Genta
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (S.G.); (M.C.P.); (F.E.); (E.Z.)
| | - Guido Ghilardi
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland;
| | - Luciano Cascione
- Institute of Oncology Research, Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Darius Juskevicius
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; (D.J.); (A.T.); (S.D.)
| | - Alexandar Tzankov
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; (D.J.); (A.T.); (S.D.)
| | - Sämi Schär
- Swiss Group for Clinical Cancer Research (SAKK) Coordinating Center, 3008 Bern, Switzerland; (S.S.); (S.H.)
| | - Lisa Milan
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (L.M.); (T.R.); (L.G.)
| | - Maria Cristina Pirosa
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (S.G.); (M.C.P.); (F.E.); (E.Z.)
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland;
| | - Fabiana Esposito
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (S.G.); (M.C.P.); (F.E.); (E.Z.)
| | - Teresa Ruberto
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (L.M.); (T.R.); (L.G.)
| | - Luca Giovanella
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (L.M.); (T.R.); (L.G.)
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006 Zurich, Switzerland
| | - Stefanie Hayoz
- Swiss Group for Clinical Cancer Research (SAKK) Coordinating Center, 3008 Bern, Switzerland; (S.S.); (S.H.)
| | - Christoph Mamot
- Division of Oncology, Cantonal Hospital Aarau, 5001 Aarau, Switzerland;
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; (D.J.); (A.T.); (S.D.)
| | - Emanuele Zucca
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (S.G.); (M.C.P.); (F.E.); (E.Z.)
- Institute of Oncology Research, Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
- Department of Medical Oncology, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Luca Ceriani
- Institute of Oncology Research, Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; (L.M.); (T.R.); (L.G.)
- Correspondence:
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46
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Sartori G, Napoli S, Cascione L, Chung EYL, Priebe V, Arribas AJ, Mensah AA, Dall'Angelo M, Falzarano C, Barnabei L, Forcato M, Rinaldi A, Bicciato S, Thome M, Bertoni F. ASB2 is a direct target of FLI1 that sustains NF-κB pathway activation in germinal center-derived diffuse large B-cell lymphoma. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2021; 40:357. [PMID: 34763718 PMCID: PMC8582153 DOI: 10.1186/s13046-021-02159-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 10/28/2021] [Indexed: 12/13/2022]
Abstract
Background Diffuse large B-cell lymphoma (DLBCL) comprises at least two main biologically distinct entities: germinal center B-cell (GCB) and activated B-cell (ABC) subtype. Albeit sharing common lesions, GCB and ABC DLBCL present subtype-specific oncogenic pathway perturbations. ABC DLBCL is typically characterized by a constitutively active NF-kB. However, the latter is seen in also 30% of GCB DLBCL. Another recurrent lesion in DLBCL is an 11q24.3 gain, associated with the overexpression of two ETS transcription factors, ETS1 and FLI1. Here, we showed that FLI1 is more expressed in GCB than ABC DLBCL and we characterized its transcriptional network. Methods Gene expression data were obtained from public datasets GSE98588, phs001444.v2.p1, GSE95013 and GSE10846. ChIP-Seq for FLI1 paired with transcriptome analysis (RNA-Seq) after FLI1 silencing (siRNAs) was performed. Sequencing was carried out using the NextSeq 500 (Illumina). Detection of peaks was done using HOMER (v2.6); differential expressed genes were identified using moderated t-test (limma R-package) and functionally annotated with g:Profiler. ChIP-Seq and RNA-Seq data from GCB DLBCL cell lines after FLI1 downregulation were integrated to identify putative direct targets of FLI1. Results Analysis of clinical DLBCL specimens showed that FLI1 gene was more frequently expressed at higher levels in GCB than in ABC DLBCL and its protein levels were higher in GCB than in ABC DLBCL cell lines. Genes negatively regulated by FLI1 included tumor suppressor genes involved in negative regulation of cell cycle and hypoxia. Among positively regulated targets of FLI1, we found genes annotated for immune response, MYC targets, NF-κB and BCR signaling and NOTCH pathway genes. Of note, direct targets of FLI1 overlapped with genes regulated by ETS1, the other transcription factor gained at the 11q24.3 locus in DLBCL, suggesting a functional convergence within the ETS family. Positive targets of FLI1 included the NF-κB-associated ASB2, a putative essential gene for DLBCL cell survival. ASB2 gene downregulation was toxic in GCB DLBCL cell lines and induced NF-κB inhibition via downregulation of RelB and increased IκBα. Additionally, downregulation of FLI1, but not ASB2, caused reduction of NF-κB1 and RelA protein levels. Conclusions We conclude that FLI1 directly regulates a network of biologically crucial genes and processes in GCB DLBCL. FLI1 regulates both the classical NF-κB pathway at the transcriptional level, and the alternative NF-κB pathway, via ASB2. FLI1 and ASB2 inhibition represents a potential novel therapeutic approach for GCB DLBCL. Supplementary Information The online version contains supplementary material available at 10.1186/s13046-021-02159-3.
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Affiliation(s)
- Giulio Sartori
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Sara Napoli
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Luciano Cascione
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Elaine Yee Lin Chung
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Valdemar Priebe
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Alberto Jesus Arribas
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Afua Adjeiwaa Mensah
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Michela Dall'Angelo
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Department of Computer Science, University of Verona, Verona, Italy
| | - Chiara Falzarano
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Laura Barnabei
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Mattia Forcato
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea Rinaldi
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland
| | - Silvio Bicciato
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Margot Thome
- Department of Biochemistry, University of Lausanne, Epalinges, Switzerland
| | - Francesco Bertoni
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, via Francesco Chiesa 5, 6500, Bellinzona, Switzerland. .,Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland.
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