1
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Kim IE, Oduor C, Stamp J, Luftig MA, Moormann AM, Crawford L, Bailey JA. Incorporation of Epstein-Barr viral variation implicates significance of Latent Membrane Protein 1 in survival prediction and prognostic subgrouping in Burkitt lymphoma. Int J Cancer 2025; 156:2188-2199. [PMID: 40047459 PMCID: PMC11971018 DOI: 10.1002/ijc.35384] [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: 05/19/2024] [Revised: 02/06/2025] [Accepted: 02/10/2025] [Indexed: 04/05/2025]
Abstract
Although Epstein-Barr virus (EBV) plays a role in Burkitt lymphoma (BL) tumorigenesis, it is unclear if EBV genetic variation impacts clinical outcomes. From 130 publicly available whole-genome tumor sequences of EBV-positive BL patients, we used least absolute shrinkage and selection operator (LASSO) regression and Bayesian variable selection models within a Cox proportional hazards framework to select the top EBV variants, putative driver genes, and clinical features associated with patient survival time. These features were incorporated into survival prediction and prognostic subgrouping models. Our model yielded 22 EBV variants, including seven in latent membrane protein 1 (LMP1), as most associated with patient survival time. Using the top EBV variants, driver genes, and clinical features, we defined three prognostic subgroups that demonstrated differential survival rates, laying the foundation for incorporating EBV variants such as those in LMP1 as predictive biomarker candidates in future studies.
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Affiliation(s)
- Isaac E. Kim
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- The Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Cliff Oduor
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Julian Stamp
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Micah A. Luftig
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
- Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Ann M. Moormann
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Lorin Crawford
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- Microsoft Research, Cambridge, MA, USA
| | - Jeffrey A. Bailey
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- The Warren Alpert Medical School, Brown University, Providence, RI, USA
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
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2
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Coyle KM, Dreval K, Hodson DJ, Morin RD. Audit of B-cell cancer genes. Blood Adv 2025; 9:2019-2031. [PMID: 39853274 PMCID: PMC12034075 DOI: 10.1182/bloodadvances.2022009461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 01/02/2025] [Accepted: 01/03/2025] [Indexed: 01/26/2025] Open
Abstract
ABSTRACT Comprehensive genetic analysis of tumors with exome or whole-genome sequencing has enabled the identification of the genes that are recurrently mutated in cancer. This has stimulated a series of exciting advances over the past 15 years, guiding us to new molecular biomarkers and therapeutic targets among the common mature B-cell neoplasms. In particular, diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and Burkitt lymphoma (BL) have each been the subject of considerable attention in this field. Currently, >850 genes have been reported as targets of protein-coding mutations in at least 1 of these entities. To reduce this to a manageable size, we describe a systematic approach to prioritize and categorize these genes, based on the quality and type of supporting data. For each entity, we provide a list of candidate driver genes categorized into Tier 1 (high-confidence genes), Tier 2 (candidate driver genes), or Tier 3 (lowest-confidence genes). Collectively, this reduces the number of high-confidence genes for these 3 lymphomas to a mere 144. This further affirms the substantial overlap between the genes relevant in DLBCL and each of FL and BL. These highly curated and annotated gene lists will continue to be maintained as a resource to the community. These results emphasize the extent of the knowledge gap regarding the role of each of these genes in lymphomagenesis. We offer our perspective on how to accelerate the experimental confirmation of drivers using a variety of model systems, using these lists as a guide for prioritizing genes.
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Affiliation(s)
- Krysta M. Coyle
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Kostiantyn Dreval
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Daniel J. Hodson
- Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
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3
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P C. Understanding EBV infection and EBV-associated lymphomas in children. Virology 2025; 608:110544. [PMID: 40267593 DOI: 10.1016/j.virol.2025.110544] [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: 12/23/2024] [Revised: 03/13/2025] [Accepted: 04/15/2025] [Indexed: 04/25/2025]
Abstract
The Epstein-Barr virus (EBV) infects over 90 % of the human population, often behaving as a harmless passenger in most hosts. However, since 1997, it has been classified as a group 1 carcinogen by the International Agency for Research on Cancer (IARC) due to its causal association with several malignancies. Most studies on EBV primary infection and EBV-associated lymphomas have been performed in adults from developed countries. The complex interplay between age of acquisition and symptomatic versus asymptomatic infection is related to the subsequent risk of EBV-associated cancers or autoimmune diseases. This review discusses some characteristics of EBV infection and EBV-associated lymphomas in children from low- and middle-income regions, with a focus on the local immune response.
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Affiliation(s)
- Chabay P
- Multidisciplinary Institute for Investigation in Pediatric Pathologies (IMIPP), CONICET-GCBA, Molecular Biology Laboratory, Pathology Division, Ricardo Gutierrez Children's Hospital, Ciudad Autónoma de Buenos Aires, Argentina.
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4
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Sahasrabuddhe AA, Chen X, Ma K, Wu R, Liang HC, Kapoor R, Chhipa RR, Onder O, McFetridge C, Van Arnam JS, Zhang X, Morrissette JJ, Pillai V, Li MM, Szankasi P, Basrur V, Conlon KP, Raabe TD, Bailey NG, Hogaboam CM, Rottapel R, Kim J, López C, Schlesner M, Siebert R, Dreval K, Morin RD, Moro L, Pagano M, Staudt LM, Lim MS, Elenitoba-Johnson KS. The FBXO45-GEF-H1 Axis Controls Germinal Center Formation and B-cell Lymphomagenesis. Cancer Discov 2025; 15:838-861. [PMID: 39820335 PMCID: PMC11962402 DOI: 10.1158/2159-8290.cd-24-0442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 09/29/2024] [Accepted: 01/15/2025] [Indexed: 01/19/2025]
Abstract
SIGNIFICANCE We describe the identification of a previously unrecognized ubiquitin ligase-substrate (FBXO45-GEF-H1) regulatory axis that plays an important role in germinal center formation and pathogenesis of common BCLs. These studies reveal novel insights linking dysregulated ubiquitin-mediated control to exploitable vulnerabilities and novel therapeutic strategies for these cancers.
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Affiliation(s)
- Anagh A. Sahasrabuddhe
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Kaiyu Ma
- Department of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rui Wu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Huan-Chang Liang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Richa Kapoor
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rishi R. Chhipa
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ozlem Onder
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Courtney McFetridge
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - John S. Van Arnam
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Xiao Zhang
- Division of Bone and Mineral Diseases, Washington University School of Medicine, St. Louis, Missouri
| | - Jennifer J.D. Morrissette
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Vinodh Pillai
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Marilyn M. Li
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | | | - Venkatesha Basrur
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Kevin P. Conlon
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Tobias D. Raabe
- Division of Translational Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Cory M. Hogaboam
- Department of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Robert Rottapel
- Princess Margaret Cancer Centre, Toronto Medical Discovery Tower, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Junhyong Kim
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Cristina López
- Institute of Human Genetics, Ulm University and Ulm Medical Center, Ulm, Germany
| | - Matthias Schlesner
- Biomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm Medical Center, Ulm, Germany
| | - Kostiantyn Dreval
- Canada’s Michael Smith Genome Sciences Center, BC Cancer Research Centre, Vancouver, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada
| | - Ryan D. Morin
- Canada’s Michael Smith Genome Sciences Center, BC Cancer Research Centre, Vancouver, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada
| | - Loredana Moro
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michele Pagano
- Department of Biochemistry and Molecular Pharmacology, Laura and Isaac Perlmutter NYU Cancer Center, NYU Grossman School of Medicine, New York, New York
- Howard Hughes Medical Institute, New York, New York
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Megan S. Lim
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kojo S.J. Elenitoba-Johnson
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
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5
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Glaser S, Wagener R, Kretzmer H, López C, Baptista MJ, Bens S, Bernhart S, Bhatia K, Borkhardt A, Elgaafary S, Hoffmann S, Hübschmann D, Hummel M, Klapper W, Kolarova J, Kreuz M, Lazzi S, Löffler M, Navarro JT, Neequaye J, Onyango N, Onyuma T, Ott G, Radlwimmer B, Rohde M, Rosenwald A, Rosolowski M, Schlesner M, Szczepanowski M, Tapia G, Wößmann W, Küppers R, Trümper L, Leoncini L, Lichter P, del Val C, Ammerpohl O, Burkhardt B, Mbulaiteye SM, Siebert R. Subtyping Burkitt Lymphoma by DNA Methylation. Genes Chromosomes Cancer 2025; 64:e70042. [PMID: 40192513 PMCID: PMC11974478 DOI: 10.1002/gcc.70042] [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: 02/06/2025] [Accepted: 03/05/2025] [Indexed: 04/09/2025] Open
Abstract
Burkitt lymphoma (BL) is an aggressive germinal center B-cell-derived malignancy. Historically, sporadic, endemic, and immunodeficiency-associated variants were distinguished, which differ in the frequency of Epstein-Barr virus (EBV) positivity. Aiming to identify subgroups based on DNA methylation patterns, we here profiled 96 BL cases, 17 BL cell lines, and six EBV-transformed lymphoblastoid cell lines using Illumina BeadChip arrays. DNA methylation analyses clustered the cases into four subgroups: two containing mostly EBV-positive cases (BL-mC1, BL-mC2) and two containing mostly EBV-negative cases (BL-mC3, BL-mC4). The subgroups BL-mC1/2, enriched for EBV-positive cases, showed increased DNA methylation, epigenetic age, and, in part, proliferation history compared to BL-mC3/4. CpGs hypermethylated in EBV-positive BLs were enriched for polycomb repressive complex 2 marks, while the CpGs hypomethylated in EBV-negative BLs were linked to, for example, B-cell receptor signaling. EBV-associated hypermethylation affected regulatory regions of genes frequently mutated in BL (e.g., CCND3, TP53) and impacted superenhancers. This finding suggests that hypermethylation may compensate for the lower mutational burden of pathogenic drivers in EBV-positive BLs. Though minor, significant differences were also observed between EBV-positive endemic and sporadic cases (e.g., at the SOX11 and RUNX1 loci). Our findings suggest that EBV status, rather than epidemiological variants, drives the DNA methylation-based subgrouping of BL.
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Affiliation(s)
- Selina Glaser
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
| | - Rabea Wagener
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
| | - Helene Kretzmer
- Department of Genome RegulationMax Planck Institute for Molecular GeneticsBerlinGermany
- Digital Health Cluster, Hasso Plattner Institute for Digital Engineering, Digital Engineering FacultyUniversity of PotsdamPotsdamGermany
| | - Cristina López
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
- Hematopathology Section, Pathology DepartmentHospital Clínic de BarcelonaBarcelonaSpain
| | | | - Susanne Bens
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
| | - Stephan Bernhart
- Interdisciplinary Center for BioinformaticsUniversity of LeipzigLeipzigGermany
- Bioinformatics Group, Department of ComputerUniversity of LeipzigLeipzigGermany
| | - Kishor Bhatia
- Division of Cancer Epidemiology and GeneticsNational Cancer Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Arndt Borkhardt
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical FacultyHeinrich‐Heine University DuesseldorfDuesseldorfGermany
| | - Shaymaa Elgaafary
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
| | - Steve Hoffmann
- Faculty of Biosciences, Leibniz Institute on Aging‐Fritz Lipmann Institute (FLI)Friedrich Schiller University JenaJenaGermany
| | - Daniel Hübschmann
- Pattern Recognition and Digital Medicine Group (PRDM)Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI‐STEM)HeidelbergGermany
| | - Michael Hummel
- Charité Center for Biomedicine (CC4)Charité—University Medicine BerlinBerlinGermany
| | - Wolfram Klapper
- Hematopathology Section, Institute of PathologyChristian‐Albrechts‐UniversityKielGermany
| | - Julia Kolarova
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
| | - Markus Kreuz
- Institute for Medical Informatics Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Stefano Lazzi
- Department of Medical BiotechnologyUniversity of SienaSienaItaly
| | - Markus Löffler
- Institute for Medical Informatics Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Jose Tomas Navarro
- Josep Carreras Leukaemia Research InstituteBadalonaSpain
- Department of Hematology, Institut Català d'Oncologia, Germans Trias i Pujol University HospitalUniversitat Autònoma de BarcelonaBadalonaSpain
| | - Janet Neequaye
- Department of Child HealthUniversity of Ghana Medical SchoolAccraGhana
| | - Noel Onyango
- Department of Medical Microbiology and ImmunologyUniversity of NairobiNairobiKenya
| | | | - German Ott
- Department of Clinical PathologyRobert‐Bosch Krankenhaus, and Dr. Margarete Fischer‐Bosch Institute of Clinical PharmacologyStuttgartGermany
| | - Bernhard Radlwimmer
- Division of Molecular GeneticsGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Marius Rohde
- Department of Pediatric Hematology and OncologyJustus‐Liebig‐University GiessenGiessenGermany
| | | | - Maciej Rosolowski
- Institute for Medical Informatics Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Matthias Schlesner
- Biomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical FacultyUniversity of AugsburgAugsburgGermany
| | - Monika Szczepanowski
- Clinic of Internal Medicine II, Hematology Laboratory SectionUniversity Hospital Schleswig‐Holstein Campus KielKielGermany
| | - Gustavo Tapia
- Department of Pathology, Germans Trias i Pujol University HospitalUniversitat Autònoma de BarcelonaBadalonaSpain
| | - Wilhelm Wößmann
- NHL‐BFM Study Centre and Pediatric Hematology and OncologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research)University of Duisburg‐Essen, Medical SchoolEssenGermany
- German Cancer Consortium (DKTK)EssenGermany
| | - Lorenz Trümper
- Department of Hematology and OncologyGeorg‐August‐University of GöttingenGöttingenGermany
| | - Lorenzo Leoncini
- Department of Medical BiotechnologyUniversity of SienaSienaItaly
| | - Peter Lichter
- Division of Molecular GeneticsGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Coral del Val
- Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI)University of GranadaGranadaSpain
- Instituto de Investigación Biosanitaria Ibs.GRANADAComplejo Hospitales Universitarios de Granada/Universidad de GranadaGranadaSpain
| | - Ole Ammerpohl
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
- German Center for Child and Adolescent Health (DZKJ)UlmGermany
- Airway Research Center NorthMember of the German Center for Lung Research (DZL)GrosshansdorfGermany
| | - Birgit Burkhardt
- Pediatric Hematology and OncologyUniversity Hospital MuensterMuensterGermany
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology and GeneticsNational Cancer Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Reiner Siebert
- Institute of Human GeneticsUlm University and Ulm University Medical CenterUlmGermany
- Institute of Human GeneticsChristian‐Albrechts‐University Kiel and University Hospital Schleswig‐HolsteinKielGermany
- German Center for Child and Adolescent Health (DZKJ)UlmGermany
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6
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Zhao J, Liu TF, Wu KF, Yang LC, Xu XJ, Lu J, Shao JB, Li F, Ma FT, Guo X, Li H, Liu AG, Wang NL, Shen HP, Li Y, Liu SX, Liang CD, Shen SH, Fang YJ, Gao YJ. Clinical and molecular characteristics of paediatric mature B-cell acute lymphocytic leukaemia and non-Hodgkin lymphoma with bone marrow involvement: A joint study between the CCCG leukaemia and lymphoma groups. Br J Haematol 2025; 206:1149-1159. [PMID: 39962993 DOI: 10.1111/bjh.20011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Accepted: 02/05/2025] [Indexed: 04/12/2025]
Abstract
Mature B-cell acute lymphocytic leukaemia (B-ALL) is distinguished from B-cell non-Hodgkin lymphoma (B-NHL) by the arbitrariness of the 25% cut-off, and given that the percentage of bone marrow (BM) blasts can vary according to site of aspirate, we refrained from differentiating mature B-ALL from B-NHL with BM infiltration. A total of 156 patients from the Chinese Children Cancer Group with BM blasts of more than 5% and consistent with immunophenotypic features of mature B cells were included in this study. The 2-year progression-free survival, 2-year event-free survival and 2-year overall survival were 76.6 ± 3.6%, 69.7 ± 3.7% and 80.1 ± 3.3% respectively. Central nervous system (CNS) involvement, serum ferritin levels higher than four times normal and rituximab no more than two doses were associated with lower PFS. Male, bulky disease and head/neck region involvement were associated with higher rate of CNS invasion. We performed an integrative transcriptomic characterization of 36 cases. Structure variant included IG::MYC, IGH::CACS11, MEF2D::BCL9, IGH::VPS53 and ACIN1::NUTM1. SNV analysis uncovered driver variations affecting 10 recurrently mutated genes including ID3, TP53, MYC, ARID1A, SMARCA4, DDX3X, CCND3, RHOA, SMARCB1, FOXO1 and GNA13. Mature B-ALL/B-NHL with BM involvement was a heterogeneous group of malignancies in both clinical features and genetic alternations. Genetics analysis was helpful for making accurate diagnoses and guiding appropriate therapeutic strategies.
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Affiliation(s)
- Jie Zhao
- Department of Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian-Feng Liu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, Tianjin, China
| | - Ke-Fei Wu
- Department of Hematology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang-Chun Yang
- Department of Pediatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Xue-Ju Xu
- Pediatric Hematology/Oncology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun Lu
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jing-Bo Shao
- Department of Hematology and Oncology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fu Li
- Department of Hematology and Oncology, Qilu Children's Hospital of Shandong University, Jinan, China
| | - Fu-Tian Ma
- Department of Hematology and Oncology, Hebei Children's Hospital, Shijiazhuang, China
| | - Xia Guo
- Department of Hematology and Oncology, West China Second Hospital, Sichuan University, Chengdu, China
| | - Hui Li
- Department of Hematology and Oncology, Children's Hospital of Wuhan, Wuhan, China
| | - Ai-Guo Liu
- Department of Hematology and Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ning-Ling Wang
- Children's Hematology-Oncology Department, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - He-Ping Shen
- Department of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yang Li
- Pediatric Hematology/Oncology Department, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Si-Xi Liu
- Department of Hematology-Oncology, Shenzhen Children's Hospital, Shenzhen, China
| | - Chang-Da Liang
- Department of Hematology-Oncology, Children's Hospital of Jiangxi Province, Nanchang, China
| | - Shu-Hong Shen
- Department of Hematology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong-Jun Fang
- Department of Hematology and Oncology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Yi-Jin Gao
- Department of Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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7
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Kim IE, Fola AA, Puig E, Maina TK, Hui ST, Ma H, Zuckerman K, Agwati EO, Leonetti A, Crudale R, Luftig MA, Moormann AM, Oduor C, Bailey JA. Comparison of nanopore with illumina whole genome assemblies of the Epstein-Barr virus in Burkitt lymphoma. Sci Rep 2025; 15:10970. [PMID: 40164811 PMCID: PMC11958722 DOI: 10.1038/s41598-025-94737-0] [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: 04/28/2024] [Accepted: 03/17/2025] [Indexed: 04/02/2025] Open
Abstract
Endemic Burkitt lymphoma (eBL) is one of the most prevalent cancer in children in sub-Saharan Africa, and while prior studies have found that Epstein-Barr virus (EBV) type and variation may alter the tumor driver genes necessary for tumor survival, the precise relationship between EBV variation and EBV-associated tumorigenesis remains unclear due to lack of scalable, cost-effective, viral whole-genome sequencing from tumor samples. This study introduces a rapid and cost-effective method of enriching, sequencing, and assembling accurate EBV genomes in BL tumor cell lines through a combination of selective whole genome amplification (sWGA) and subsequent 2-tube multiplex polymerase chain reaction along with long-read sequencing with a portable sequencer. The method was optimized across a range of parameters to yield a high percentage of EBV reads and sufficient coverage across the EBV genome except for large repeat regions. After optimization, we applied our method to sequence 18 cell lines and 3 patient tumors from fine needle biopsies and assembled them with median coverages of 99.62 and 99.68%, respectively. The assemblies showed high concordance (99.61% similarity) to available Illumina-based assemblies. The improved method and assembly pipeline will allow for better understanding of EBV variation in relation to BL and is applicable more broadly for translational research studies, especially useful for laboratories in Africa where eBL is most widespread.
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Affiliation(s)
- Isaac E Kim
- Center for Computational Molecular Biology, Brown University, Box G-E5, Providence, 02912, RI, USA
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Abebe A Fola
- Center for Computational Molecular Biology, Brown University, Box G-E5, Providence, 02912, RI, USA
| | - Enrique Puig
- Center for Computational Molecular Biology, Brown University, Box G-E5, Providence, 02912, RI, USA
| | - Titus Kipkemboi Maina
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Sin Ting Hui
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Hongyu Ma
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Kaleb Zuckerman
- Center for Computational Molecular Biology, Brown University, Box G-E5, Providence, 02912, RI, USA
| | - Eddy O Agwati
- Department of Zoology, Maseno University, Maseno, Kenya
- Center for Global Health Research (CGHR), Kenya Medical Research Institute, Kisumu, Kenya
| | - Alec Leonetti
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Rebecca Crudale
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Micah A Luftig
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
- Center for Virology, Duke University School of Medicine, Durham, NC, USA
| | - Ann M Moormann
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Cliff Oduor
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Jeffrey A Bailey
- Center for Computational Molecular Biology, Brown University, Box G-E5, Providence, 02912, RI, USA.
- Warren Alpert Medical School, Brown University, Providence, RI, USA.
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA.
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8
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Collinge B, Hilton LK, Wong J, Alduaij W, Ben-Neriah S, Slack GW, Farinha P, Boyle M, Meissner B, Cook JR, Ott G, Rosenwald A, Campo E, Amador C, Greiner TC, Raess PW, Song JY, Inghirami G, Ondrejka SL, Jaffe ES, Weisenburger DD, Chan WC, Holte H, Beiske K, Fu K, Delabie J, Pittaluga S, Iqbal J, Wright G, Savage KJ, Mungall AJ, Staudt LM, Steidl C, Feldman AL, Morin RD, Rimsza LM, Scott DW. High-grade B-cell lymphoma, not otherwise specified: an LLMPP study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.03.11.25323696. [PMID: 40162293 PMCID: PMC11952619 DOI: 10.1101/2025.03.11.25323696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
Molecular characterization of high-grade B-cell lymphoma, not otherwise specified (HGBCL-NOS), is hindered by its rarity, evolving definition, and poor diagnostic reproducibility. To address this challenge, we analyzed 92 HGBCL-NOS tumors collected across Lymphoma/Leukemia Molecular Profiling Project sites. Leveraging comparison cohorts of diffuse large B-cell lymphoma (DLBCL-NOS) and Burkitt lymphoma (BL), and molecular frameworks described in these entities, our analysis revealed a heterogenous molecular landscape, reminiscent of DLBCL-NOS but with an enrichment of BL features. By cell-of-origin, 59% were germinal center B-cell-like (GCB), and 25% were activated B-cell-like (ABC). LymphGen, a genetic classifier for DLBCL-NOS, assigned a genetic subtype to 34% of HGBCL-NOS. Although classification rate was lower than in DLBCL-NOS (66%), assigned subtypes spanned the spectrum of LymphGen classes, including 31% of ABCs classified as MCD. Features differentiating HGBCL-NOS from DLBCL-NOS included MYC -rearrangement (47% vs. 6%), dark zone signature (DZsig) expression (45% vs. 7%), and more frequent mutation of ID3 , MYC , CCND3 , and TP53 - all common to BL. A genetic classifier that differentiates DLBCL-NOS from BL classified 53% of DZsig+ tumors as BL-like, with those classified as DLBCL-like frequently BCL2 -rearranged. Among DZsig-GCB tumors, 95% were DLBCL-like. Centralized pathology review reclassified almost half of tumors as DLBCL-NOS but did not identify a more homogenous HGBCL-NOS population, with no difference in features between confirmed and reclassified tumors. In conclusion, molecular testing enables a subset of HGBCL-NOS to be assigned to established categories. Based on rarity and diagnostic challenges, broader inclusion of HGBCL-NOS should be considered in biomarker-driven DLBCL trials. Key points Molecular analyses reveal that HGBCL-NOS encompasses a heterogeneous collection of tumors.A subset of HGBCL-NOS can be assigned to established molecular groups, while others remain unclassified.
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9
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Fu L, Zhou X, Zhang X, Li X, Zhang F, Gu H, Wang X. Circulating tumor DNA in lymphoma: technologies and applications. J Hematol Oncol 2025; 18:29. [PMID: 40069858 PMCID: PMC11900646 DOI: 10.1186/s13045-025-01673-7] [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: 12/19/2024] [Accepted: 02/11/2025] [Indexed: 03/14/2025] Open
Abstract
Lymphoma, a malignant tumor derived from lymphocytes and lymphoid tissues, presents with complex and heterogeneous clinical manifestations, requiring accurate patient classification for appropriate treatment. While invasive pathological examination of lymph nodes or lymphoid tissue remains the gold standard for lymphoma diagnosis, its utility is limited in cases of deep-seated tumors such as intraperitoneal and central nervous system lymphomas. In addition, biopsy procedures carry an inherent risk of complications. Computed tomography (CT) and positron emission tomography/computed tomography (PET/CT) imaging are essential for treatment assessment and monitoring, but lack the ability to detect early clonal evolution and minimal residual disease (MRD). Liquid biopsy-based analysis of circulating tumor DNA (ctDNA) offers a non-invasive alternative that allows for repeated sampling and overcomes the limitations of spatial heterogeneity and invasive biopsies. ctDNA provides genetic and epigenetic insights into lymphoma and serves as a dynamic, quantifiable biomarker for diagnosis, risk stratification, and treatment response. This review comprehensively summarizes common genetic variations in lymphoma and systematically evaluates ctDNA detection technologies, including PCR-based assays and next-generation sequencing (NGS). Applications of ctDNA detection in noninvasive genotyping, risk stratification, therapeutic response monitoring, and MRD detection are discussed across various lymphoma subtypes, including diffuse large B-cell lymphoma, Hodgkin lymphoma, follicular lymphoma, and T-cell lymphoma. By integrating recent research findings, the review highlights the role of ctDNA profiling in advancing precision medicine, enabling personalized therapeutic strategies, and improving clinical outcomes in lymphoma.
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Affiliation(s)
- Lina Fu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China
| | - Xuerong Zhou
- Department of Hematology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China
| | - Xiaoyu Zhang
- Department of Hematology, Qilu Hospital of Shandong University, Shandong Province, 250012, Jinan, China
| | - Xuhua Li
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China
| | - Fan Zhang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China.
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China.
| | - Xiaoxue Wang
- Department of Hematology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
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10
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Metekoua C, Ruffieux Y, Mwansa-Kambafwile J, Kellett P, Egger M, Muchengeti M, Rohner E, Wiggill T. Patterns of incident Burkitt lymphoma during the HIV epidemic among the Black African and White population in South Africa. Br J Cancer 2025; 132:462-468. [PMID: 39809970 PMCID: PMC11876306 DOI: 10.1038/s41416-024-02937-8] [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: 05/07/2024] [Revised: 12/05/2024] [Accepted: 12/27/2024] [Indexed: 01/16/2025] Open
Abstract
BACKGROUND Burkitt lymphoma (BL) may be HIV-associated but data on BL trends in South Africa (SA), where HIV is highly prevalent, are scarce. We compared BL incidence trends over 36 years among Black African and White individuals. METHODS We included histologically diagnosed BL from the National Cancer Registry in SA between 1986-2021. We computed yearly age-standardised incidence rates (ASIR) by race, and annual percentage changes in ASIR using Joinpoint regression. RESULTS Between 1986-2021, 2205 Black African (ASIR: 1.68/1,000,000; 95% confidence interval [CI] 1.63-1.73) and 366 White individuals (ASIR: 2.34/1,000,000; 95% CI 2.15-2.53) had incident BL. Median age at diagnosis increased over time, while the male proportion among those diagnosed declined. The ASIR among Black Africans increased from 1986-2012 and declined thereafter with BL incidence peaks shifting from children and elderly to middle-aged adults. Among White individuals, BL rates rose among all age groups over time. CONCLUSIONS The BL epidemiology among Black Africans, with decreasing rates since 2012, may reflect SA's evolving HIV epidemic. In contrast, BL rates among White individuals in SA and many high-income countries continue to increase over time. Further studies are needed to better understand the differences in BL epidemiology across geographic regions and population groups.
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Affiliation(s)
- Carole Metekoua
- National Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa.
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
| | - Yann Ruffieux
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Judith Mwansa-Kambafwile
- National Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Patricia Kellett
- National Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa
| | - Matthias Egger
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Mazvita Muchengeti
- National Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Eliane Rohner
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Tracey Wiggill
- Medical Microbiology and Immunology, National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
- Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
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11
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Kim IE, Fola AA, Puig E, Maina TK, Hui ST, Ma H, Zuckerman K, Agwati E, Leonetti A, Crudale R, Luftig MA, Moormann AM, Oduor C, Bailey JA. Comparison of Nanopore with Illumina Whole Genome Assemblies of the Epstein-Barr Virus in Burkitt Lymphoma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.21.25322471. [PMID: 40061313 PMCID: PMC11888525 DOI: 10.1101/2025.02.21.25322471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/17/2025]
Abstract
Endemic Burkitt lymphoma (eBL) is one of the most prevalent cancer in children in sub-Saharan Africa, and while prior studies have found that Epstein-Barr virus (EBV) type and variation may alter the tumor driver genes necessary for tumor survival, the precise relationship between EBV variation and EBV-associated tumorigenesis remains unclear due to lack of scalable, cost-effective, viral whole-genome sequencing from tumor samples. This study introduces a rapid and cost-effective method of enriching, sequencing, and assembling accurate EBV genomes in BL tumor cell lines through a combination of selective whole genome amplification (sWGA) and subsequent 2-tube multiplex polymerase chain reaction along with long-read sequencing with a portable sequencer. The method was optimized across a range of parameters to yield a high percentage of EBV reads and sufficient coverage across the EBV genome except for large repeat regions. After optimization, we applied our method to sequence 18 cell lines and 3 patient tumors from fine needle biopsies and assembled them with median coverages of 99.62 and 99.68%, respectively. The assemblies showed high concordance (99.61% similarity) to available Illumina-based assemblies. The improved method and assembly pipeline will allow for better understanding of EBV variation in relation to BL and is applicable more broadly for translational research studies, especially useful for laboratories in Africa where eBL is most widespread.
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Affiliation(s)
- Isaac E. Kim
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Abebe A. Fola
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Enrique Puig
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Titus K. Maina
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
| | - Sin Ting Hui
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
| | - Hongyu Ma
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
| | - Kaleb Zuckerman
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Eddy Agwati
- Department of Zoology, Maseno University, Maseno, Kenya
- Center for Global Health Research (CGHR), Kenya Medical Research Institute, Kisumu, Kenya
| | - Alec Leonetti
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
| | - Rebecca Crudale
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
| | - Micah A. Luftig
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
- Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Ann M. Moormann
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Cliff Oduor
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
| | - Jeffrey A. Bailey
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- Warren Alpert Medical School, Brown University, Providence, RI, USA
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI
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12
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Florez-Vargas O, Ho M, Hogshead MH, Papenberg BW, Lee CH, Forsythe K, Jones K, Luo W, Teshome K, Blauwendraat C, Billingsley KJ, Kolmogorov M, Meredith M, Paten B, Chari R, Zhang C, Schneekloth JS, Machiela MJ, Chanock SJ, Gadalla SM, Savage SA, Mbulaiteye SM, Prokunina-Olsson L. Genetic regulation of TERT splicing affects cancer risk by altering cellular longevity and replicative potential. Nat Commun 2025; 16:1676. [PMID: 39956830 PMCID: PMC11830802 DOI: 10.1038/s41467-025-56947-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: 07/04/2024] [Accepted: 02/06/2025] [Indexed: 02/18/2025] Open
Abstract
The chromosome 5p15.33 region, which encodes telomerase reverse transcriptase (TERT), harbors multiple germline variants identified by genome-wide association studies (GWAS) as risk for some cancers but protective for others. Here, we characterize a variable number tandem repeat within TERT intron 6, VNTR6-1 (38-bp repeat unit), and detect a strong link between VNTR6-1 alleles (Short: 24-27 repeats, Long: 40.5-66.5 repeats) and GWAS signals rs2242652 and rs10069690 within TERT intron 4. Bioinformatics analyses reveal that rs10069690-T allele increases intron 4 retention while VNTR6-1-Long allele expands a polymorphic G-quadruplex (G4, 35-113 copies) within intron 6, with both variants contributing to variable TERT expression through alternative splicing and nonsense-mediated decay. In two cell lines, CRISPR/Cas9 deletion of VNTR6-1 increases the ratio of TERT-full-length (FL) to the alternative TERT-β isoform, promoting apoptosis and reducing cell proliferation. In contrast, treatment with G4-stabilizing ligands shifts splicing from TERT-FL to TERT-β isoform, implicating VNTR6-1 as a splicing switch. We associate the functional variants VNTR6-1, rs10069690, and their haplotypes with multi-cancer risk and age-related telomere shortening. By regulating TERT splicing, these variants may contribute to fine-tuning cellular longevity and replicative potential in the context of stress due to tissue-specific endogenous and exogenous exposures, thereby influencing the cancer risk conferred by this locus.
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Affiliation(s)
- Oscar Florez-Vargas
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Michelle Ho
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Maxwell H Hogshead
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Brenen W Papenberg
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Chia-Han Lee
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Kaitlin Forsythe
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kedest Teshome
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institute of Aging and National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Kimberly J Billingsley
- Center for Alzheimer's and Related Dementias, National Institute of Aging and National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Mikhail Kolmogorov
- Cancer Data Science Laboratory, CCR, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Raj Chari
- Genome Modification Core, Laboratory Animal Sciences Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Chi Zhang
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - John S Schneekloth
- Chemical Biology Laboratory, CCR, National Cancer Institute, Frederick, MD, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Shahinaz M Gadalla
- Clinical Genetics Branch, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Sam M Mbulaiteye
- Infections and Immunoepidemiology Branch, DCEG, National Cancer Institute, Rockville, MD, USA
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13
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Xavier AC, Attarbaschi A, Gratzinger D, Balagué O. Dedicated diagnostic approaches for mature B-cell non-Hodgkin lymphomas occurring in children, adolescents, and young adults. Histopathology 2025; 86:17-37. [PMID: 39564602 PMCID: PMC11648358 DOI: 10.1111/his.15362] [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: 07/11/2024] [Revised: 10/21/2024] [Accepted: 10/22/2024] [Indexed: 11/21/2024]
Abstract
Non-Hodgkin lymphoma (NHL) represents the fourth most common malignant disease among children and adolescents. Current disease classifications, including the most recent World Health Organization (WHO) classification and the International Consensus Classification (ICC), rely on a combination of clinical, epidemiological, histologic, immunophenotypic, and molecular data to define discrete clinicopathologic entities. There is growing evidence that children, adolescents, and young adults (CAYA) with B-cell NHL display unique clinical and epidemiologic characteristics. This may be explained by distinct age-related developmental plasticity, immune and haematopoietic repertoires, environmental exposures and social determinants of health, and germline or acquired genetic and molecular features, including those associated with inborn errors of immunity (IEI). Here, we discuss the unique clinical and biological characteristics of several distinct paediatric B-cell NHL types to indicate a path forward in classification of these CAYA NHL to optimally support multidisciplinary patient care and personalized treatment. We propose a potential "arising in CAYA" classification qualifier to denote the distinct clinicopathologic characteristics of B-cell NHLs that, otherwise, histologically and immunophenotypically resemble those arising in middle-aged and older adults. We also discuss how haemopathology diagnoses are evolving to incorporate the most current scientific knowledge into future classification systems of CAYA B-cell NHL.
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Affiliation(s)
- Ana C Xavier
- Division of Hematology/Oncology, Department of PediatricsUniversity of Alabama at BirminghamBirminghamALUSA
| | - Andishe Attarbaschi
- St. Anna Children's Cancer Research InstituteViennaAustria
- Department of Pediatric Hematology/Oncology, St. Anna Children's HospitalMedical University of ViennaViennaAustria
| | - Dita Gratzinger
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Olga Balagué
- Pathology Department, Biomedical CentreHospital Clínic of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I SunyerBarcelonaSpain
- Centro de Investigación Biomédica en Red de CáncerMadridSpain
- Department of Clinical FundamentalsUniversity of BarcelonaBarcelonaSpain
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14
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Fenner RE, Gong C, Hodson DJ. Genetic Manipulation and Extended Culture of Human Germinal Center B Cells to Model Lymphomagenesis. Methods Mol Biol 2025; 2865:395-409. [PMID: 39424734 DOI: 10.1007/978-1-0716-4188-0_17] [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] [Indexed: 10/21/2024]
Abstract
The germinal center (GC) is the stage of B cell differentiation that gives rise to a majority of B cell lymphomas. Here, we present an experimental coculture system for the ex vivo expansion and genetic manipulation of human GC B cells purified from discarded tonsil tissue. This system can be used to investigate the impact of defined genetic alterations, either individually or in combination, upon the growth and survival of human GC B cells in vitro. We provide examples of genetic combinations that lead to the immortalized growth of GC B cells in vitro, and others that result in malignant transformation in immunodeficient mice, allowing the creation of genetically bespoke, synthetic, human lymphoma models.
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Affiliation(s)
- Rachel E Fenner
- Department of Haematology, Cambridge Stem Cell Institute, University of Cambridge, Jeffrey Cheah Biomedical Centre, Cambridge, UK
| | - Chun Gong
- Department of Haematology, Cambridge Stem Cell Institute, University of Cambridge, Jeffrey Cheah Biomedical Centre, Cambridge, UK
| | - Daniel J Hodson
- Department of Haematology, Cambridge Stem Cell Institute, University of Cambridge, Jeffrey Cheah Biomedical Centre, Cambridge, UK.
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15
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Choi JK, Quintanilla-Martinez L. Pediatric lymphomas: overview and diagnostic challenges. Virchows Arch 2025; 486:81-100. [PMID: 39707053 PMCID: PMC11782321 DOI: 10.1007/s00428-024-03980-9] [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: 07/22/2024] [Revised: 11/11/2024] [Accepted: 11/12/2024] [Indexed: 12/23/2024]
Abstract
Only 10% of new lymphoma diagnoses in the USA occur in children < 15 years. Although the same diagnostic criteria apply to both adult and pediatric lymphomas, there are important differences in some lymphoma subtypes. These differences are recognized by the World Health Organization (WHO) with the recent 2022 classification of pediatric tumors including pediatric hematopoietic tumors. Here, we review the WHO classification scheme for pediatric lymphomas and summarize the diagnostic criteria, recent genetic findings, and differences from their adult counterparts for some subtypes including those yet to be included as a definitive subtype. In general, there are differences in relatively frequency, genetic mutation, and prognosis with the pediatric counterpart often having better prognosis. Emerging B-cell lymphomas with recurrent gene alterations such as IRF4 rearrangement and 11q gain/loss chromosomal alterations will be reviewed. The overlapping pathological, clinical, and molecular features between pediatric-type follicular lymphoma (PTFL) and pediatric nodal marginal zone lymphoma (PNMZL) suggesting one disease with broad morphological spectrum will be discussed. The pathogenetic role of EBV in subclassifying Burkitt lymphoma is highlighted. The revised classification of the EBV-positive lymphoproliferative disorders in children is discussed. This review will focus on novel findings, areas of special interest, and diagnostic challenges in pediatric lymphomas.
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Affiliation(s)
- John Kim Choi
- Department of Pathology, The University of Alabama at Birmingham, WP P30N, 619 19Th Street South, Birmingham, AL, 35249-7331, USA.
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tuebingen and Comprehensive Cancer Center, University Hospital Tuebingen, Liebermeisterstr. 8, 72076, Tuebingen, Germany.
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16
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Corinaldesi C, Holmes AB, Martire G, Tosato A, Rizzato D, Lovisa F, Gallingani I, Shen Q, Ferrone L, Harris M, Davies K, Molinaro L, Mortara U, Dei Tos AP, Ofori K, D'Amore ESG, Chiarle R, Ngan B, Carraro E, Pillon M, Hussein S, Bhagat G, Pizzi M, Mussolin L, Basso K. Single-cell transcriptomics of pediatric Burkitt lymphoma reveals intra-tumor heterogeneity and markers of therapy resistance. Leukemia 2025; 39:189-198. [PMID: 39424708 PMCID: PMC11717704 DOI: 10.1038/s41375-024-02431-3] [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: 05/25/2024] [Revised: 09/08/2024] [Accepted: 09/27/2024] [Indexed: 10/21/2024]
Abstract
Burkitt lymphoma (BL) is the most frequent B-cell lymphoma in pediatric patients. While most patients are cured, a fraction of them are resistant to therapy. To investigate BL heterogeneity and the features distinguishing therapy responders (R) from non-responders (NR), we analyzed by single-cell (sc)-transcriptomics diagnostic EBV-negative BL specimens. Analysis of the non-tumor component revealed a predominance of immune cells and a small representation of fibroblasts, enriched in NR. Tumors displayed patient-specific features, as well as shared subpopulations that expressed transcripts related to cell cycle, signaling pathways and cell-of-origin signatures. Several transcripts were differentially expressed in R versus NR. The top candidate, Tropomyosin 2 (TPM2), a member of the tropomyosin actin filament binding protein family, was confirmed to be significantly higher in NR both at the transcript and protein level. Stratification of patients based on TPM2 expression at diagnosis significantly correlated with prognosis, independently of TP53 mutations. These results indicate that BL displays transcriptional heterogeneity and identify candidate biomarkers of therapy resistance.
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Affiliation(s)
| | - Antony B Holmes
- Institute for Cancer Genetics, Columbia University, New York, NY, USA
| | - Gaia Martire
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
- Istituto di Ricerca Pediatrica Citta' della Speranza, Padova, Italy
| | - Anna Tosato
- Institute for Cancer Genetics, Columbia University, New York, NY, USA
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
- Istituto di Ricerca Pediatrica Citta' della Speranza, Padova, Italy
| | - Domenico Rizzato
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
| | - Federica Lovisa
- Istituto di Ricerca Pediatrica Citta' della Speranza, Padova, Italy
| | - Ilaria Gallingani
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
- Istituto di Ricerca Pediatrica Citta' della Speranza, Padova, Italy
| | - Qiong Shen
- Institute for Cancer Genetics, Columbia University, New York, NY, USA
| | - Lavinia Ferrone
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
- Istituto di Ricerca Pediatrica Citta' della Speranza, Padova, Italy
| | - Marian Harris
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Luca Molinaro
- Department of Medical Science, University of Torino, Torino, Italy
| | - Umberto Mortara
- Department of Medical Science, University of Torino, Torino, Italy
| | - Angelo Paolo Dei Tos
- General Pathology and Cytopathology Unit, Department of Medicine-DMED, University-Hospital of Padova, Padova, Italy
| | - Kenneth Ofori
- Department of Pathology & Cell Biology, Columbia University, New York, NY, USA
| | | | - Roberto Chiarle
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
- European Institute of Oncology IRCCS, Division of Hematopathology, Milan, Italy
| | - Bo Ngan
- Hospital for Sick Children (SickKids), Toronto, ON, Canada
| | - Elisa Carraro
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
| | - Marta Pillon
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy
| | - Shafinaz Hussein
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Govind Bhagat
- Department of Pathology & Cell Biology, Columbia University, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Marco Pizzi
- General Pathology and Cytopathology Unit, Department of Medicine-DMED, University-Hospital of Padova, Padova, Italy
| | - Lara Mussolin
- Maternal and Child Health Department, University-Hospital of Padova, Padova, Italy.
- Istituto di Ricerca Pediatrica Citta' della Speranza, Padova, Italy.
| | - Katia Basso
- Institute for Cancer Genetics, Columbia University, New York, NY, USA.
- Department of Pathology & Cell Biology, Columbia University, New York, NY, USA.
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17
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Zhu YX, Wong JC, Hilal T, Maguire A, Ocal J, Zellner K, Chen X, Link BK, Habermann TM, Maurer MJ, Cerhan JR, Johnston PB, Feldman AL, Scott DW, Rosenthal A, Rimsza L. Primary Central Nervous System Lymphoma Tumor Biopsies Show Heterogeneity in Gene Expression Profiles, Genetic Subtypes, and in vitro Drug Sensitivity to Kinase Inhibitors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.11.24316310. [PMID: 39677423 PMCID: PMC11643165 DOI: 10.1101/2024.11.11.24316310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2024]
Abstract
Primary central nervous system lymphoma (PCNSL) is clinically challenging due to its location and small biopsy size, leading to a lack of comprehensive molecular and biologic description. We previously demonstrated that 91% of PCNSL belong to the activated B-cell-like (ABC) molecular subtype of diffuse large B-cell lymphoma (DLBCL). Here we investigated the expression of 739 cancer related genes in HIV (-) patients using NanoString digital gene expression profiling in 25 ABC-PCNSL and 43 ABC-systemic DLBCL, all tumors were EBV (-). We found that two-thirds of ABC-PCNSL samples had a transcriptional landscape distinct from ABC-systemic DLBCL samples. Of the 739 genes measured, 135 were identified as differentially expressed between these ABC-PCNSL and ABC-systemic DLBCL (p<0.05). Compared with ABC-systemic DLBCL, ABC-PCNSL showed higher gene expression in several cancer related gene sets including genes related to Hedgehog, DNA damage repair, Wnt and MAPK signaling. Hierarchical clustering 28 PCNSL samples (25 ABC and 3 GCB subtypes) identified two transcriptional subgroups, P1 (n=9) and P2 (n=19). P2 showed higher activities across most of the cancer related pathways and had a significantly shorter patient survival time (p<0.01). Whole exome sequencing showed that some distinct genetic features of PCNSL compared to DLBCL. The genetic subtypes ("LymphGen") of PCNSL consisted mainly of "MCD" and "Other" subtypes, which did not correlate with clinical survival. These data provide more information about unique characters of PCNSL, which may help to identify novel drug targets for developing therapeutic strategies.
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18
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Kebede AM, Garfinkle EAR, Mathew MT, Varga E, Colace SI, Wheeler G, Kelly BJ, Schieffer KM, Miller KE, Mardis ER, Cottrell CE, Potter SL. Comprehensive genomic characterization of hematologic malignancies at a pediatric tertiary care center. Front Oncol 2024; 14:1498409. [PMID: 39687881 PMCID: PMC11647012 DOI: 10.3389/fonc.2024.1498409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Accepted: 10/28/2024] [Indexed: 12/18/2024] Open
Abstract
Despite the increasing availability of comprehensive next generation sequencing (NGS), its role in characterizing pediatric hematologic malignancies remains undefined. We describe findings from comprehensive genomic profiling of hematologic malignancies at a pediatric tertiary care center. Patients enrolled on a translational research protocol to aid in cancer diagnosis, prognostication, treatment, and detection of cancer predisposition. Disease-involved samples underwent exome and RNA sequencing and analysis for single nucleotide variation, insertion/deletions, copy number alteration, structural variation, fusions, and gene expression. Twenty-eight patients with hematologic malignancies were nominated between 2018-2021. Eighteen individuals received both germline and somatic sequencing; two received germline sequencing only. Germline testing identified patients with cancer predisposition syndromes and non-cancer carrier states. Fifteen patients (15/18, 83%) had cancer-relevant somatic findings. Potential therapeutic targets were identified in seven patients (7/18, 38.9%); three (3/7, 42.9%) received targeted therapies and remain in remission an average of 47 months later.
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Affiliation(s)
- Ann M. Kebede
- Division of Pediatric Heme/Onc/BMT, Nationwide Children’s Hospital, Columbus, OH, United States
| | - Elizabeth A. R. Garfinkle
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
| | - Mariam T. Mathew
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pathology and Laboratory Medicine, The Ohio State University, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
| | - Elizabeth Varga
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
| | - Susan I. Colace
- Division of Pediatric Heme/Onc/BMT, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
| | - Gregory Wheeler
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
| | - Benjamin J. Kelly
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
| | - Kathleen M. Schieffer
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pathology and Laboratory Medicine, The Ohio State University, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
| | - Katherine E. Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
| | - Elaine R. Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
| | - Catherine E. Cottrell
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pathology and Laboratory Medicine, The Ohio State University, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
| | - Samara L. Potter
- Division of Pediatric Heme/Onc/BMT, Nationwide Children’s Hospital, Columbus, OH, United States
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
- Department of Pediatrics, The Ohio State University, Columbus, OH, United States
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19
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Florez-Vargas O, Ho M, Hogshead M, Lee CH, Papenberg BW, Forsythe K, Jones K, Luo W, Teshome K, Blauwendraat C, Billingsley KJ, Kolmogorov M, Meredith M, Paten B, Chari R, Zhang C, Schneekloth JS, Machiela MJ, Chanock SJ, Gadalla S, Savage SA, Mbulaiteye SM, Prokunina-Olsson L. Genetic regulation of TERT splicing contributes to reduced or elevated cancer risk by altering cellular longevity and replicative potential. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.04.24316722. [PMID: 39802763 PMCID: PMC11722454 DOI: 10.1101/2024.11.04.24316722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2025]
Abstract
The chromosome 5p15.33 region, which encodes telomerase reverse transcriptase (TERT), harbors multiple germline variants identified by genome-wide association studies (GWAS) as risk for some cancers but protective for others. We characterized a variable number tandem repeat within TERT intron 6 (VNTR6-1, 38-bp repeat unit) and observed a strong association between VNTR6-1 alleles (Short: 24-27 repeats, Long: 40.5-66.5 repeats) and GWAS signals within TERT intron 4. Specifically, VNTR6-1 fully explained the GWAS signals for rs2242652 and partially for rs10069690. VNTR6-1, rs10069690 and their haplotypes were associated with multi-cancer risk and age-related telomere shortening. Both variants reduce TERT expression through alternative splicing and nonsense-mediated decay: rs10069690-T increases intron 4 retention and VNTR6-1-Long expands a polymorphic G quadruplex (G4, 35-113 copies) within intron 6. Treatment with G4-stabilizing ligands decreased the fraction of the functional telomerase-encoding TERT full-length isoform, whereas CRISPR/Cas9 deletion of VNTR6-1 increased this fraction and apoptosis while reducing cell proliferation. Thus, VNTR6-1 and rs10069690 regulate the expression and splicing of TERT transcripts encoding both functional and nonfunctional telomerase. Altered TERT isoform ratios might modulate cellular longevity and replicative potential at homeostasis and in response to environmental factors, thus selectively contributing to the reduced or elevated cancer risk conferred by this locus.
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Affiliation(s)
- Oscar Florez-Vargas
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Michelle Ho
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Maxwell Hogshead
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Chia-Han Lee
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Brenen W Papenberg
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Kaitlin Forsythe
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Kristine Jones
- Cancer Genomic Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wen Luo
- Cancer Genomic Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kedest Teshome
- Cancer Genomic Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer’s and Related Dementias, National Institute of Aging and National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Kimberly J Billingsley
- Center for Alzheimer’s and Related Dementias, National Institute of Aging and National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Mikhail Kolmogorov
- Cancer Data Science Laboratory, CCR, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Raj Chari
- Genome Modification Core, Laboratory Animal Sciences Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Chi Zhang
- Cancer Genomic Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - John S. Schneekloth
- Chemical Biology Laboratory, CCR, National Cancer Institute, Frederick, MD, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Shahinaz Gadalla
- Clinical Genetics Branch, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, DCEG, National Cancer Institute, Rockville, MD, USA
| | - Sam M Mbulaiteye
- Infections and Immunoepidemiology Branch, DCEG, National Cancer Institute, Rockville, MD, USA
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20
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Mato S, Castrejón-de-Anta N, Colmenero A, Carità L, Salmerón-Villalobos J, Ramis-Zaldivar JE, Nadeu F, Garcia N, Wang L, Verdú-Amorós J, Andrés M, Conde N, Celis V, Ortega MJ, Galera A, Astigarraga I, Perez-Alonso V, Quiroga E, Jiang A, Scott DW, Campo E, Balagué O, Salaverria I. MYC-rearranged mature B-cell lymphomas in children and young adults are molecularly Burkitt Lymphoma. Blood Cancer J 2024; 14:171. [PMID: 39375391 PMCID: PMC11458770 DOI: 10.1038/s41408-024-01153-0] [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: 07/24/2024] [Revised: 09/20/2024] [Accepted: 09/23/2024] [Indexed: 10/09/2024] Open
Abstract
Aggressive B-cell non-Hodgkin lymphomas (NHL) in children, adolescents, and young adults (CAYA) include Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), and a subset of high-grade tumors with features intermediate between these entities whose genetic and molecular profiles have not been completely elucidated. In this study, we have characterized 37 aggressive B-NHL in CAYA, 33 with high-grade morphology, and 4 DLBCL with MYC rearrangement (MYC-R), using targeted next-generation sequencing and the aggressive lymphoma gene expression germinal center B-cell-like (GCB), activated B-cell-like (ABC), and dark zone signatures (DZsig). Twenty-two tumors had MYC-R without BCL2 breaks, and two MYC-non-R cases had BCL6 translocations. MYC-R cases, including DLBCL, carried BL-related mutations and copy number alterations. Conversely, MYC-non-R lymphomas had alterations in the B-cell receptor signaling/NF-κB pathway (71%). DZsig was expressed in 12/13 of MYC-R tumors but only in 2/10 of MYC-non-R GCB tumors (P < 0.001). The 3-year event-free survival (EFS) of the whole cohort was 79.6%. TP53 and KMT2C mutations conferred inferior outcome (3-year EFS P < 0.05). Overall, MYC-R lymphomas in CAYA have a molecular profile similar to BL regardless of their high-grade or DLBCL morphology, whereas MYC-non-R has more heterogeneous genetic alterations closer to that of DLBCL.
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Affiliation(s)
- Sara Mato
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- University of Barcelona (UB), Barcelona, Spain
| | - Natalia Castrejón-de-Anta
- University of Barcelona (UB), Barcelona, Spain
- Hematopathology Section, Laboratory of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Ariadna Colmenero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- University of Barcelona (UB), Barcelona, Spain
| | - Lorenzo Carità
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Joan Enric Ramis-Zaldivar
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Noelia Garcia
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Luojun Wang
- Hematopathology Section, Laboratory of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Jaime Verdú-Amorós
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Pediatric Oncology Department, Hospital Clínico Universitario, Biomedical Research Institute INCLIVA de Valencia, Valencia, Spain
| | - Mara Andrés
- Pediatric Oncology Department, Hospital La Fe, Valencia, Spain
| | - Nuria Conde
- Pediatric Oncology Department, Hospital Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Verónica Celis
- Pediatric Oncology Department, Hospital Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Maria José Ortega
- Pediatric Oncology Department, Hospital Virgen de las Nieves, Granada, Spain
| | - Ana Galera
- Pediatric Oncohematology Department, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Itziar Astigarraga
- Pediatric Oncology Unit, Hospital Universitario Cruces Osakidetza, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Vanesa Perez-Alonso
- Pediatric Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Eduardo Quiroga
- Pediatric Oncology Department, Hospital Virgen del Rocio, Sevilla, Spain
| | - Aixiang Jiang
- BC Cancer's Centre for Lymphoid, Vancouver, BC, Canada
| | - David W Scott
- BC Cancer's Centre for Lymphoid, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- University of Barcelona (UB), Barcelona, Spain
- Hematopathology Section, Laboratory of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Olga Balagué
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
- University of Barcelona (UB), Barcelona, Spain.
- Hematopathology Section, Laboratory of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
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21
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Wang Y, Shen Z, He C, Xing X, Tan Z, Sang W. Global, regional, and national burden of Burkitt lymphoma from 1990 to 2021 and predictions to 2030: a systematic analysis for the Global Burden of Disease Study 2021. Blood Cancer J 2024; 14:154. [PMID: 39251600 PMCID: PMC11385923 DOI: 10.1038/s41408-024-01138-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 08/29/2024] [Accepted: 09/02/2024] [Indexed: 09/11/2024] Open
Affiliation(s)
- Ying Wang
- Department of Personnel, Jiangsu Province (Suqian) Hospital, Suqian, 223800, Jiangsu, China
| | - Ziyuan Shen
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Chenlu He
- Department of Public Health, Affiliated Wuxi Fifth Hospital of Jiangnan University, Wuxi, 214000, Jiangsu, China
- Department of Public Health, The Fifth People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, China
| | - Xing Xing
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Zaixiang Tan
- Research Center of Health Policy and Health Management, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Wei Sang
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China.
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China.
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22
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Corcoran SR, Phelan JD, Choi J, Shevchenko G, Fenner RE, Yu X, Scheich S, Hsiao T, Morris VM, Papachristou EK, Kishore K, D'Santos CS, Ji Y, Pittaluga S, Wright GW, Urlaub H, Pan KT, Oellerich T, Muppidi J, Hodson DJ, Staudt LM. Molecular Determinants of Sensitivity to Polatuzumab Vedotin in Diffuse Large B-Cell Lymphoma. Cancer Discov 2024; 14:1653-1674. [PMID: 38683128 DOI: 10.1158/2159-8290.cd-23-0802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 03/12/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024]
Abstract
Polatuzumab vedotin (Pola-V) is an antibody-drug conjugate directed to the CD79B subunit of the B-cell receptor (BCR). When combined with conventional immunochemotherapy, Pola-V improves outcomes in diffuse large B-cell lymphoma (DLBCL). To identify determinants of Pola-V sensitivity, we used CRISPR-Cas9 screening for genes that modulated Pola-V toxicity for lymphomas or the surface expression of its target, CD79B. Our results reveal the striking impact of CD79B glycosylation on Pola-V epitope availability on the lymphoma cell surface and on Pola-V toxicity. Genetic, pharmacological, and enzymatic approaches that remove sialic acid from N-linked glycans enhanced lymphoma killing by Pola-V. Pola-V toxicity was also modulated by KLHL6, an E3 ubiquitin ligase that is recurrently inactivated in germinal center derived lymphomas. We reveal how KLHL6 targets CD79B for degradation in normal and malignant germinal center B cells, thereby determining expression of the surface BCR complex. Our findings suggest precision medicine strategies to optimize Pola-V as a lymphoma therapeutic. Significance: These findings unravel the molecular basis of response heterogeneity to Pola-V and identify approaches that might be deployed therapeutically to enhance the efficacy of CD79B-specific tumor killing. In addition, they reveal a novel post-translational mechanism used by normal and malignant germinal center B cells to regulate expression of the BCR. See related commentary by Leveille, p. 1577 See related article by Meriranta et al.
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Affiliation(s)
- Sean R Corcoran
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts
| | - James D Phelan
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Jaewoo Choi
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Galina Shevchenko
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Rachel E Fenner
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Xin Yu
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Sebastian Scheich
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Tony Hsiao
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Vivian M Morris
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
- Department of Biology, Johns Hopkins University, Baltimore, Maryland
| | | | - Kamal Kishore
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Clive S D'Santos
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Yanlong Ji
- Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Stefania Pittaluga
- Laboratory of Pathology, National Cancer Institute, NIH, Bethesda, Maryland
| | - George W Wright
- Biometrics Research Program, National Cancer Institute, NIH, Bethesda, Maryland
| | - Henning Urlaub
- Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Kuan-Ting Pan
- University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Thomas Oellerich
- University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Jagan Muppidi
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Daniel J Hodson
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Louis M Staudt
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
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23
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Hilton LK, Collinge B, Ben-Neriah S, Alduaij W, Shaalan H, Weng AP, Cruz M, Slack GW, Farinha P, Miyata-Takata T, Boyle M, Meissner B, Cook JR, Ondrejka SL, Ott G, Rosenwald A, Campo E, Amador C, Greiner TC, Raess PW, Song JY, Inghirami G, Jaffe ES, Weisenburger DD, Chan WC, Beiske K, Fu K, Delabie J, Pittaluga S, Iqbal J, Wright G, Sehn LH, Savage KJ, Mungall AJ, Feldman AL, Staudt LM, Steidl C, Rimsza LM, Morin RD, Scott DW. Motive and opportunity: MYC rearrangements in high-grade B-cell lymphoma with MYC and BCL2 rearrangements (an LLMPP study). Blood 2024; 144:525-540. [PMID: 38701426 PMCID: PMC11307266 DOI: 10.1182/blood.2024024251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 05/05/2024] Open
Abstract
ABSTRACT Rearrangements that place the oncogenes MYC, BCL2, or BCL6 adjacent to superenhancers are common in mature B-cell lymphomas. Lymphomas with diffuse large B-cell lymphoma (DLBCL) or high-grade morphology with both MYC and BCL2 rearrangements are classified as high-grade B-cell lymphoma with MYC and BCL2 rearrangements ("double hit"; HGBCL-DH-BCL2) and are associated with aggressive disease and poor outcomes. Although it is established that MYC rearrangements involving immunoglobulin (IG) loci are associated with inferior outcomes relative to those involving other non-IG superenhancers, the frequency of and mechanisms driving IG vs non-IG MYC rearrangements have not been elucidated. Here, we used custom targeted capture and/or whole-genome sequencing to characterize oncogene rearrangements across 883 mature B-cell lymphomas including Burkitt lymphoma, follicular lymphoma, DLBCL, and HGBCL-DH-BCL2 tumors. We demonstrate that, although BCL2 rearrangement topology is consistent across entities, HGBCL-DH-BCL2 have distinct MYC rearrangement architecture relative to tumors with single MYC rearrangements or with both MYC and BCL6 rearrangements (HGBCL-DH-BCL6), including both a higher frequency of non-IG rearrangements and different architecture of MYC::IGH rearrangements. The distinct MYC rearrangement patterns in HGBCL-DH-BCL2 occur on the background of high levels of somatic hypermutation across MYC partner loci in HGBCL-DH-BCL2, creating more opportunity to form these rearrangements. Furthermore, because 1 IGH allele is already disrupted by the existing BCL2 rearrangement, the MYC rearrangement architecture in HGBCL-DH-BCL2 likely reflects selective pressure to preserve both BCL2 and B-cell receptor expression. These data provide new mechanistic explanations for the distinct patterns of MYC rearrangements observed across different lymphoma entities.
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Affiliation(s)
- Laura K. Hilton
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Brett Collinge
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | | | - Waleed Alduaij
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Haya Shaalan
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Andrew P. Weng
- Terry Fox Laboratory, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Manuela Cruz
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Graham W. Slack
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | | | - Merrill Boyle
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | | | - James R. Cook
- Department of Clinical Pathology, Cleveland Clinic, Cleveland, OH
| | | | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
| | | | - Elias Campo
- Hematopathology Section, Hospital Clinic of Barcelona, Institut d’Investigaciones Biomediques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Catalina Amador
- Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL
| | - Timothy C. Greiner
- Department of Pathology, Microbiology and Immunology, University of Nebraska Medical Center, Omaha, NE
| | - Philipp W. Raess
- Department of Pathology and Laboratory Medicine, Oregon Health & Science University, Portland, OR
| | - Joo Y. Song
- Department of Pathology, City of Hope, Duarte, CA
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Dennis D. Weisenburger
- Department of Pathology, Microbiology and Immunology, University of Nebraska Medical Center, Omaha, NE
| | - Wing C. Chan
- Department of Pathology, City of Hope, Duarte, CA
| | - Klaus Beiske
- Department of Pathology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Kai Fu
- Department of Pathology and Laboratory Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Jan Delabie
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Stefania Pittaluga
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Javeed Iqbal
- Department of Pathology, Microbiology and Immunology, University of Nebraska Medical Center, Omaha, NE
| | - George Wright
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Andrew J. Mungall
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Lisa M. Rimsza
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ
| | - Ryan D. Morin
- Centre for Lymphoid Cancer, BC 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 Institute, Vancouver, BC, Canada
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
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24
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Sureda-Gómez M, Iaccarino I, De Bolòs A, Meyer M, Balsas P, Richter J, Rodríguez ML, López C, Carreras-Caballé M, Glaser S, Nadeu F, Jares P, Clot G, Siciliano MC, Bellan C, Tornambè S, Boccacci R, Leoncini L, Campo E, Siebert R, Amador V, Klapper W. SOX11 expression is restricted to EBV-negative Burkitt lymphoma and is associated with molecular genetic features. Blood 2024; 144:187-200. [PMID: 38620074 DOI: 10.1182/blood.2023023242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/27/2024] [Accepted: 03/21/2024] [Indexed: 04/17/2024] Open
Abstract
ABSTRACT SRY-related HMG-box gene 11 (SOX11) is a transcription factor overexpressed in mantle cell lymphoma (MCL), a subset of Burkitt lymphomas (BL) and precursor lymphoid cell neoplasms but is absent in normal B cells and other B-cell lymphomas. SOX11 has an oncogenic role in MCL but its contribution to BL pathogenesis remains uncertain. Here, we observed that the presence of Epstein-Barr virus (EBV) and SOX11 expression were mutually exclusive in BL. SOX11 expression in EBV-negative (EVB-) BL was associated with an IG∷MYC translocation generated by aberrant class switch recombination, whereas in EBV-negative (EBV-)/SOX11-negative (SOX11-) tumors the IG∷MYC translocation was mediated by mistaken somatic hypermutations. Interestingly, EBV- SOX11-expressing BL showed higher frequency of SMARCA4 and ID3 mutations than EBV-/SOX11- cases. By RNA sequencing, we identified a SOX11-associated gene expression profile, with functional annotations showing partial overlap with the SOX11 transcriptional program of MCL. Contrary to MCL, no differences on cell migration or B-cell receptor signaling were found between SOX11- and SOX11-positive (SOX11+) BL cells. However, SOX11+ BL showed higher adhesion to vascular cell adhesion molecule 1 (VCAM-1) than SOX11- BL cell lines. Here, we demonstrate that EBV- BL comprises 2 subsets of cases based on SOX11 expression. The mutual exclusion of SOX11 and EBV, and the association of SOX11 with a specific genetic landscape suggest a role of SOX11 in the early pathogenesis of BL.
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Affiliation(s)
- Marta Sureda-Gómez
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Ingram Iaccarino
- Department of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel, Kiel, Germany
| | - Anna De Bolòs
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
| | - Mieke Meyer
- Department of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel, Kiel, Germany
| | - Patricia Balsas
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Julia Richter
- Department of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel, Kiel, Germany
| | | | - Cristina López
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | | | - Selina Glaser
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
| | - Pedro Jares
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Department of Hematology Hospital Clinic of Barcelona, Barcelona, Spain
- University of Barcelona, Barcelona, Spain
| | - Guillem Clot
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- University of Barcelona, Barcelona, Spain
| | - Maria Chiara Siciliano
- Department of Medical Biotechnologies, Section of Pathological Anatomy, University of Siena, Siena, Italy
| | - Cristiana Bellan
- Department of Medical Biotechnologies, Section of Pathological Anatomy, University of Siena, Siena, Italy
| | - Salvatore Tornambè
- Department of Medical Biotechnologies, Section of Pathological Anatomy, University of Siena, Siena, Italy
| | - Roberto Boccacci
- Department of Medical Biotechnologies, Section of Pathological Anatomy, University of Siena, Siena, Italy
| | - Lorenzo Leoncini
- Department of Medical Biotechnologies, Section of Pathological Anatomy, University of Siena, Siena, Italy
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Department of Hematology Hospital Clinic of Barcelona, Barcelona, Spain
- University of Barcelona, Barcelona, Spain
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Virginia Amador
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
| | - Wolfram Klapper
- Department of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel, Kiel, Germany
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25
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Wang L, Yang L, Guan F, Chen J, Cheng Y, Miao Y, He J, Cai Z, Huang H, Zhao Y. TP53 and KMT2D mutations associated with worse prognosis in peripheral T-cell lymphomas. Cancer Med 2024; 13:e70027. [PMID: 39041683 PMCID: PMC11264255 DOI: 10.1002/cam4.70027] [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: 04/23/2024] [Revised: 07/05/2024] [Accepted: 07/08/2024] [Indexed: 07/24/2024] Open
Abstract
There are limited studies on mutation profiling for Peripheral T-cell lymphomas (PTCL) in the Chinese population. We retrospectively analyzed the clinical and genetic landscape of 66 newly diagnosed Chinese patients. Targeted next-generation sequencing (NGS) was performed for tissues from these patients. At least one mutation was detected in 60 (90.9%) patients, with a median number of 3 (0-7) mutations, and 32 (48.5%) cases detected with more than 4 mutations. The genes with higher mutation frequencies were TET2, RHOA, DNMT3A, IDH2, TP53, STAT3, and KMT2D respectively. When mutant genes are classified by functional group, the most prevalent mutations are related to epigenetics and signal transduction. IPI ≥2, PIT ≥2, and failure to achieve partial remission (PR) were factors for inferior progression-free survival (PFS) and overall survival (OS). Multivariate analysis showed TP53 was an adverse factor for PFS (HR, 3.523; 95% CI, 1.262-9.835; p = 0.016), and KMT2D was an adverse factor for OS (HR, 10.097; 95% CI, 1.000-101.953; p = 0.048). Mutation profiling could help differentiate distinct types of PTCL and serve as a useful tool for determining treatment options and prognoses.
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Affiliation(s)
- Lingling Wang
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
- Department of HematologyThe First People's Hospital of Yancheng, The Yancheng Clinical College of Xuzhou Medical UniversityYanchengChina
| | - Lei Yang
- Department of HematologyThe Affiliated People's Hospital of Jiangsu UniversityZhenjiangChina
| | - Fangshu Guan
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
| | - Jing Chen
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
| | - Yuexin Cheng
- Department of HematologyThe First People's Hospital of Yancheng, The Yancheng Clinical College of Xuzhou Medical UniversityYanchengChina
| | - Yuqing Miao
- Department of HematologyThe First People's Hospital of Yancheng, The Yancheng Clinical College of Xuzhou Medical UniversityYanchengChina
| | - Jingsong He
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
| | - Zhen Cai
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
| | - He Huang
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
| | - Yi Zhao
- Bone Marrow Transplantation CenterThe First Affiliated Hospital, School of Medicine, Zhejiang UniversityHangzhouChina
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26
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Atallah-Yunes SA, Habermann TM, Khurana A. Targeted therapy in Burkitt lymphoma: Small molecule inhibitors under investigation. Br J Haematol 2024; 204:2165-2172. [PMID: 38577716 DOI: 10.1111/bjh.19425] [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: 01/18/2024] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 04/06/2024]
Abstract
Multiagent chemoimmunotherapy remains the standard of care treatment for Burkitt lymphoma leading to a cure in the majority of cases. However, frontline treatment regimens are associated with a significant risk of treatment related toxicity especially in elderly and immunocompromised patients. Additionally, prognosis remains dismal in refractory/relapsed Burkitt lymphoma. Thus, novel therapies are required to not only improve outcomes in relapsed/refractory Burkitt lymphoma but also minimize frontline treatment related toxicities. Recurrent genomic changes and signalling pathway alterations that have been implicated in the Burkitt lymphomagenesis include cell cycle dysregulation, cell proliferation, inhibition of apoptosis, epigenetic dysregulation and tonic B-cell receptor-phosphatidylinositol 3-kinase (BCR-PI3K) signalling. Here, we will discuss novel targeted therapy approaches using small molecule inhibitors that could pave the way to the future treatment landscape based on the understanding of recurrent genomic changes and signalling pathway alterations in the lymphomagenesis of adult Burkitt lymphoma.
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Affiliation(s)
| | - Thomas M Habermann
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Arushi Khurana
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
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27
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Gagnon MF, Bruehl FK, Sill DR, Meyer RG, Greipp PT, Hoppman NL, Xu X, Baughn LB, Peterson JF, McPhail ED, Ketterling RP, King RL. Cytogenetic and pathologic characterization of MYC-rearranged B-cell lymphomas in pediatric and young adult patients. J Hematop 2024; 17:51-61. [PMID: 38561469 PMCID: PMC11127862 DOI: 10.1007/s12308-024-00579-6] [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: 02/12/2024] [Accepted: 03/19/2024] [Indexed: 04/04/2024] Open
Abstract
MYC-rearranged B-cell lymphoma (BCL) in the pediatric/young adult (YA) age group differs substantially in disease composition from adult cohorts. However, data regarding the partner genes, concurrent rearrangements, and ultimate diagnoses in these patients is scarce compared to that in adult cohorts. We aimed to characterize the spectrum of MYC-rearranged (MYC-R) mature, aggressive BCL in the pediatric/YA population. A retrospective study of morphologic, immunophenotypic, and fluorescence in situ hybridization (FISH) results of patients age ≤ 30 years with suspected Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL) or high-grade B-cell lymphoma (HGBCL), and a MYC-R by FISH between 2013-2022 was performed. Two-hundred fifty-eight cases (129 (50%) pediatric (< 18 years) and 129 (50%) YA (18-30 years)) were included. Most MYC-R BCL in pediatric (89%) and YA (66%) cases were BL. While double-hit (DH) cytogenetics (MYC with BCL2 and/or BCL6-R, HGBCL-DH) was rare in the pediatric population (2/129, 2%), HGBCL-DH increased with age and was identified in 17/129 (13%) of YA cases. Most HGBCL-DH had MYC and BCL6-R, while BCL2-R were rare in both groups (3/258, 1%). MYC-R without an IG partner was more common in the YA group (14/116 (12%) vs 2/128 (2%), p = 0.001). The pediatric to YA transition is characterized by decreasing frequency in BL and increasing genetic heterogeneity of MYC-R BCL, with emergence of DH-BCL with MYC and BCL6-R. FISH to evaluate for BCL2 and BCL6 rearrangements is likely not warranted in the pediatric population but should continue to be applied in YA BCL.
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Affiliation(s)
- Marie-France Gagnon
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Frido K Bruehl
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Daniel R Sill
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Reid G Meyer
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Patricia T Greipp
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Nicole L Hoppman
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Xinjie Xu
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Linda B Baughn
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Jess F Peterson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Ellen D McPhail
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Rhett P Ketterling
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Rebecca L King
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
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28
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Choi J, Ceribelli M, Phelan JD, Häupl B, Huang DW, Wright GW, Hsiao T, Morris V, Ciccarese F, Wang B, Corcoran S, Scheich S, Yu X, Xu W, Yang Y, Zhao H, Zhou J, Zhang G, Muppidi J, Inghirami GG, Oellerich T, Wilson WH, Thomas CJ, Staudt LM. Molecular targets of glucocorticoids that elucidate their therapeutic efficacy in aggressive lymphomas. Cancer Cell 2024; 42:833-849.e12. [PMID: 38701792 PMCID: PMC11168741 DOI: 10.1016/j.ccell.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/29/2024] [Accepted: 04/09/2024] [Indexed: 05/05/2024]
Abstract
Glucocorticoids have been used for decades to treat lymphomas without an established mechanism of action. Using functional genomic, proteomic, and chemical screens, we discover that glucocorticoids inhibit oncogenic signaling by the B cell receptor (BCR), a recurrent feature of aggressive B cell malignancies, including diffuse large B cell lymphoma and Burkitt lymphoma. Glucocorticoids induce the glucocorticoid receptor (GR) to directly transactivate genes encoding negative regulators of BCR stability (LAPTM5; KLHL14) and the PI3 kinase pathway (INPP5D; DDIT4). GR directly represses transcription of CSK, a kinase that limits the activity of BCR-proximal Src-family kinases. CSK inhibition attenuates the constitutive BCR signaling of lymphomas by hyperactivating Src-family kinases, triggering their ubiquitination and degradation. With the knowledge that glucocorticoids disable oncogenic BCR signaling, they can now be deployed rationally to treat BCR-dependent aggressive lymphomas and used to construct mechanistically sound combination regimens with inhibitors of BTK, PI3 kinase, BCL2, and CSK.
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MESH Headings
- Humans
- Glucocorticoids/pharmacology
- Receptors, Antigen, B-Cell/metabolism
- Animals
- Signal Transduction/drug effects
- Receptors, Glucocorticoid/metabolism
- Mice
- Cell Line, Tumor
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Burkitt Lymphoma/drug therapy
- Burkitt Lymphoma/genetics
- Burkitt Lymphoma/metabolism
- Burkitt Lymphoma/pathology
- Molecular Targeted Therapy/methods
- Phosphatidylinositol 3-Kinases/metabolism
- src-Family Kinases/metabolism
- Gene Expression Regulation, Neoplastic/drug effects
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Affiliation(s)
- Jaewoo Choi
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - James D Phelan
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Björn Häupl
- Department of Medicine II, Hematology/Oncology, Goethe University, Frankfurt, Germany; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60528 Frankfurt am Main, Germany
| | - Da Wei Huang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - George W Wright
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tony Hsiao
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Vivian Morris
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Francesco Ciccarese
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy
| | - Boya Wang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sean Corcoran
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sebastian Scheich
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medicine II, Hematology/Oncology, Goethe University, Frankfurt, Germany; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60528 Frankfurt am Main, Germany; University Cancer Center (UCT) Frankfurt, University Hospital, Goethe University, 60590 Frankfurt am Main, Germany; Frankfurt Cancer Institute, Goethe University, 60596 Frankfurt am Main, Germany
| | - Xin Yu
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Weihong Xu
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yandan Yang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hong Zhao
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joyce Zhou
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Grace Zhang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jagan Muppidi
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Giorgio G Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Thomas Oellerich
- Department of Medicine II, Hematology/Oncology, Goethe University, Frankfurt, Germany; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60528 Frankfurt am Main, Germany
| | - Wyndham H Wilson
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Craig J Thomas
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Louis M Staudt
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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29
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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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30
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Malfona F, Testi AM, Chiaretti S, Moleti ML. Refractory Burkitt Lymphoma: Diagnosis and Interventional Strategies. Blood Lymphat Cancer 2024; 14:1-15. [PMID: 38510818 PMCID: PMC10949171 DOI: 10.2147/blctt.s407804] [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: 11/29/2023] [Accepted: 02/23/2024] [Indexed: 03/22/2024]
Abstract
Despite excellent results in frontline therapy, particularly in pediatric age, refractory Burkitt lymphoma still remains a therapeutic challenge, with dismal outcome. The prognosis is very poor, ranging from less than 10% to 30-40%, with longer survival only in transplanted patients. On account of the paucity of data, mostly reporting on small series of patients, with heterogeneous characteristics and salvage treatments, at present it is impossible to draw definitive conclusions on the treatment of choice for this difficult to treat subset of patients. New insights into Burkitt lymphoma/leukemia cell biology have led to the development of new drugs, currently being tested, directed at different specific targets. Herein, we describe the results so far reported in refractory Burkitt lymphoma/leukemia, with standard treatments and hematopoietic stem cell transplant, and we review the new targeted drugs currently under evaluation.
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Affiliation(s)
- Francesco Malfona
- Department of Translational and Precision Medicine, ‘Sapienza’ University, Rome, Italy
| | - Anna Maria Testi
- Department of Translational and Precision Medicine, ‘Sapienza’ University, Rome, Italy
| | - Sabina Chiaretti
- Department of Translational and Precision Medicine, ‘Sapienza’ University, Rome, Italy
| | - Maria Luisa Moleti
- Department of Translational and Precision Medicine, ‘Sapienza’ University, Rome, Italy
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31
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Bednarska K, Chowdhury R, Tobin JWD, Swain F, Keane C, Boyle S, Khanna R, Gandhi MK. Epstein-Barr virus-associated lymphomas decoded. Br J Haematol 2024; 204:415-433. [PMID: 38155519 DOI: 10.1111/bjh.19255] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 11/15/2023] [Accepted: 11/29/2023] [Indexed: 12/30/2023]
Abstract
Epstein-Barr virus (EBV)-associated lymphomas cover a range of histological B- and T-cell non-Hodgkin and Hodgkin lymphoma subtypes. The role of EBV on B-cell malignant pathogenesis and its impact on the tumour microenvironment are intriguing but incompletely understood. Both the International Consensus Classification (ICC) and 5th Edition of the World Health Organization (WHO-HAEM5) proposals give prominence to the distinct clinical, prognostic, genetic and tumour microenvironmental features of EBV in lymphoproliferative disorders. There have been major advances in our biological understanding, in how to harness features of EBV and its host immune response for targeted therapy, and in using EBV as a method to monitor disease response. In this article, we showcase the latest developments and how they may be integrated to stimulate new and innovative approaches for further lines of investigation and therapy.
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Affiliation(s)
- Karolina Bednarska
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Rakin Chowdhury
- Frazer Institute, University of Queensland, Brisbane, Queensland, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Joshua W D Tobin
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Fiona Swain
- Frazer Institute, University of Queensland, Brisbane, Queensland, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Colm Keane
- Frazer Institute, University of Queensland, Brisbane, Queensland, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Stephen Boyle
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Rajiv Khanna
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Maher K Gandhi
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
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32
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Ribera JM, Morgades M, Garcia-Calduch O, Sirvent M, Buendia B, Cervera M, Luzardo H, Hernandez-Rivas JM, Sitges M, Garcia-Cadenas I, Abrisqueta P, Montesinos P, Bastos-Oreiro M, De Llano MPQ, Bravo P, Torrent A, Herrera P, Garcia-Guinon A, Vall-Llovera F, Serrano J, Terol MJ, Bergua JM, Garcia-Noblejas A, Barrenetxea C, Llorente L, Garcia-Belmonte D, Gimeno E, Cladera A, Mercadal S, Sancho JM. Feasibility and outcomes after dose reduction of immunochemotherapy in young adults with Burkitt lymphoma and leukemia: results of the BURKIMAB14 trial. Haematologica 2024; 109:543-552. [PMID: 37560813 PMCID: PMC10828757 DOI: 10.3324/haematol.2023.283342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023] Open
Abstract
High dose-intensive or infusional intermediate-dose immunochemotherapy is highly effective treatment for Burkitt lymphoma irrespective of human immunodeficiency virus (HIV) infection. However, toxicities of these regimens are relevant, especially in older adults and elderly patients. The prospective multicenter BURKIMAB14 trial included four to six blocks of immunochemotherapy according to stage (localized: 1 and 2 non-bulky; advanced: 2 bulky, 3, 4) and age, with dose reduction in patients >55 years old. Dose-intensity of chemotherapy was reduced in patients ≤55 years old after achieving complete metabolic response (CMR). Their outcomes were compared with those of similar patients included in the former BURKIMAB08 trial, in which there was no dose reduction. CMR was attained in 86 of 107 (80%) patients (17/19 in localized stages and 69/88 in advanced stages). Patients from the BURKIMAB14 trial ≤55 years old showed similar overall survival (OS), fewer infections and cytopenias than patients from the BURKIMAB08 trial. Patients >55 years old had a significantly higher treatment- related mortality despite dose reduction of chemotherapy. With a median follow-up of 3.61 years the 4-year OS probability was 73% (range, 63-81%). Age (≤55 vs. >55 years) and stage (localized vs. advanced) had prognostic significance. No significant differences in OS were observed in HIV-positive versus HIV-negative patients. The results of BURKIMAB14 are similar to those of other dose-intensive immunochemotherapy trials. Age >55 years and advanced stage, but not HIV infection, were associated with poor survival. Dose reduction of chemotherapy in young adults in CMR is safe and does not impact outcomes (clinicaltrials gov. Identifier: NCT05049473).
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Affiliation(s)
- Josep-Maria Ribera
- Institut Catala d'Oncologia-Hospital Germans Trias i Pujol. Josep Carreras Research Institute-Badalona. Universitat Autonoma de Barcelona.
| | - Mireia Morgades
- Institut Catala d'Oncologia-Hospital Germans Trias i Pujol. Josep Carreras Research Institute-Badalona. Universitat Autonoma de Barcelona
| | - Olga Garcia-Calduch
- Institut Catala d'Oncologia-Hospital Germans Trias i Pujol. Josep Carreras Research Institute-Badalona. Universitat Autonoma de Barcelona
| | | | | | - Marta Cervera
- Institut Catala d'Oncologia-Hospital Joan XXIII. Tarragona
| | - Hugo Luzardo
- Hospital Universitario de Gran Canaria Dr. Negrin. Las Palmas de Gran Canaria
| | - Jesus-Maria Hernandez-Rivas
- IBSAL, IBMCC, Centro de Investigacion del Cancer, CIBERONC, Universidad de Salamanca-CSIC, Hospital Universitario de Salamanca. Salamanca
| | - Marta Sitges
- Institut Catala d'Oncologia-Hospital Josep Trueta. Girona
| | | | | | | | | | | | - Pilar Bravo
- Hospital Universitario de Fuenlabrada. Madrid
| | - Anna Torrent
- Institut Catala d'Oncologia-Hospital Germans Trias i Pujol. Josep Carreras Research Institute-Badalona. Universitat Autonoma de Barcelona
| | | | | | | | | | | | | | | | | | | | | | | | | | - Santiago Mercadal
- Institut Catala d'Oncologia-Hospital Duran i Reynals. L'Hospitalet de Llobregat
| | - Juan-Manuel Sancho
- Institut Catala d'Oncologia-Hospital Germans Trias i Pujol. Josep Carreras Research Institute-Badalona. Universitat Autonoma de Barcelona
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33
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Fend F, van den Brand M, Groenen PJ, Quintanilla-Martinez L, Bagg A. Diagnostic and prognostic molecular pathology of lymphoid malignancies. Virchows Arch 2024; 484:195-214. [PMID: 37747559 PMCID: PMC10948535 DOI: 10.1007/s00428-023-03644-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/26/2023]
Abstract
With the explosion in knowledge about the molecular landscape of lymphoid malignancies and the increasing availability of high throughput techniques, molecular diagnostics in hematopathology has moved from isolated marker studies to a more comprehensive approach, integrating results of multiple genes analyzed with a variety of techniques on the DNA and RNA level. Although diagnosis of lymphoma still relies on the careful integration of clinical, morphological, phenotypic, and, if necessary molecular features, and only few entities are defined strictly by genetic features, genetic profiling has contributed profoundly to our current understanding of lymphomas and shaped the two current lymphoma classifications, the International Consensus Classification and the fifth edition of the WHO classification of lymphoid malignancies. In this review, the current state of the art of molecular diagnostics in lymphoproliferations is summarized, including clonality analysis, mutational studies, and gene expression profiling, with a focus on practical applications for diagnosis and prognostication. With consideration for differences in accessibility of high throughput techniques and cost limitations, we tried to distinguish between diagnostically relevant and in part disease-defining molecular features and optional, more extensive genetic profiling, which is usually restricted to clinical studies, patients with relapsed or refractory disease or specific therapeutic decisions. Although molecular diagnostics in lymphomas currently is primarily done for diagnosis and subclassification, prognostic stratification and predictive markers will gain importance in the near future.
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Affiliation(s)
- Falko Fend
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany.
| | - Michiel van den Brand
- Pathology-DNA, Location Rijnstate Hospital, Arnhem, the Netherlands
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Patricia Jta Groenen
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University Tübingen, Tübingen, Germany
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
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Hong HG, Gouveia MH, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Wang X, Zhou J, Leal TP, Otim I, Legason ID, Nabalende H, Dhudha H, Mumia M, Baker FS, Okusolubo T, Ayers LW, Bhatia K, Goedert JJ, Woo J, Manning M, Cole N, Luo W, Hicks B, Chagaluka G, Johnston WT, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Hutchinson A, Yeager M, Adeyemo AA, Thein SL, Rotimi CN, Chanock SJ, Prokunina-Olsson L, Mbulaiteye SM. Sickle cell allele HBB-rs334(T) is associated with decreased risk of childhood Burkitt lymphoma in East Africa. Am J Hematol 2024; 99:113-123. [PMID: 38009642 PMCID: PMC10872868 DOI: 10.1002/ajh.27149] [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: 08/07/2023] [Revised: 09/30/2023] [Accepted: 10/23/2023] [Indexed: 11/29/2023]
Abstract
Burkitt lymphoma (BL) is an aggressive B-cell lymphoma that significantly contributes to childhood cancer burden in sub-Saharan Africa. Plasmodium falciparum, which causes malaria, is geographically associated with BL, but the evidence remains insufficient for causal inference. Inference could be strengthened by demonstrating that mendelian genes known to protect against malaria-such as the sickle cell trait variant, HBB-rs334(T)-also protect against BL. We investigated this hypothesis among 800 BL cases and 3845 controls in four East African countries using genome-scan data to detect polymorphisms in 22 genes known to affect malaria risk. We fit generalized linear mixed models to estimate odds ratios (OR) and 95% confidence intervals (95% CI), controlling for age, sex, country, and ancestry. The ORs of the loci with BL and P. falciparum infection among controls were correlated (Spearman's ρ = 0.37, p = .039). HBB-rs334(T) was associated with lower P. falciparum infection risk among controls (OR = 0.752, 95% CI 0.628-0.9; p = .00189) and BL risk (OR = 0.687, 95% CI 0.533-0.885; p = .0037). ABO-rs8176703(T) was associated with decreased risk of BL (OR = 0.591, 95% CI 0.379-0.992; p = .00271), but not of P. falciparum infection. Our results increase support for the etiological correlation between P. falciparum and BL risk.
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Affiliation(s)
- Hyokyoung G. Hong
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Mateus H. Gouveia
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Martin D. Ogwang
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
| | - Steven J. Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Pamela A. Were
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T. Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N. Wekesa
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Xunde Wang
- Sickle Cell Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USAs
| | - Jiefu Zhou
- Department of Statistics and Probability, Michigan State University, MI, USA
| | - Thiago Peixoto Leal
- Lerner Research Institute, Genomic Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Isaac Otim
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D. Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Herry Dhudha
- EMBLEM Study, Bugando Medical Center, Mwanza, Tanzania
| | - Mediatrix Mumia
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Francine S. Baker
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Temiloluwa Okusolubo
- Sickle Cell Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USAs
| | - Leona W. Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Joshua Woo
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Michelle Manning
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Nathan Cole
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - George Chagaluka
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - W Thomas Johnston
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Eric Borgstein
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - George N. Liomba
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Steve Kamiza
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Nyengo Mkandawire
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | | | - Elizabeth M. Molyneux
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Adebowale A. Adeyemo
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Swee Lay Thein
- Sickle Cell Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USAs
| | - Charles N. Rotimi
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
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35
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Rodriguez-Pinilla SM, Dojcinov S, Dotlic S, Gibson SE, Hartmann S, Klimkowska M, Sabattini E, Tousseyn TA, de Jong D, Hsi ED. Aggressive B-cell non-Hodgkin lymphomas: a report of the lymphoma workshop of the 20th meeting of the European Association for Haematopathology. Virchows Arch 2024; 484:15-29. [PMID: 37530792 PMCID: PMC10791773 DOI: 10.1007/s00428-023-03579-6] [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: 02/14/2023] [Revised: 05/22/2023] [Accepted: 06/07/2023] [Indexed: 08/03/2023]
Abstract
Aggressive B-cell non-Hodgkin lymphomas are a heterogeneous group of diseases and our concepts are evolving as we learn more about their clinical, pathologic, molecular genetic features. Session IV of the 2020 EAHP Workshop covered aggressive, predominantly high-grade B-cell lymphomas, many that were difficult to classify. In this manuscript, we summarize the features of the submitted cases and highlight differential diagnostic difficulties. We specifically review issues related to high-grade B-cell lymphomas (HGBCLs) with MYC and BCL2 and/or BCL6 rearrangements including TdT expression in these cases, HGBCL, not otherwise specified, large B-cell lymphomas with IRF4 rearrangement, high-grade/large B-cell lymphomas with 11q aberration, Burkitt lymphoma, and pleomorphic mantle cell lymphoma. Since the workshop, the 5th edition of the WHO Classification for Haematolymphoid Tumours (WHO-HAEM5) and International Consensus Classification (ICC) 2022 were published. We endeavor to use the updated terminology.
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Affiliation(s)
| | - Stefan Dojcinov
- Department of Pathology, Morriston Hospital, Swansea Bay University Health Board, Swansea, UK
| | - Snjezana Dotlic
- Department of Pathology and Cytology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Sarah E Gibson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA
| | - Sylvia Hartmann
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt Am Main, Frankfurt Am Main, Germany
| | - Monika Klimkowska
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Elena Sabattini
- Haematopathology Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Thomas A Tousseyn
- Department of Imaging and Pathology, Translational Cell and Tissue Research Lab, KU Leuven, Leuven, Belgium
| | - Daphne de Jong
- Department of Pathology, Amsterdam UMC, Location VUMC, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands.
| | - Eric D Hsi
- Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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36
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Mitra B, Beri NR, Guo R, Burton EM, Murray-Nerger LA, Gewurz BE. Characterization of target gene regulation by the two Epstein-Barr virus oncogene LMP1 domains essential for B-cell transformation. mBio 2023; 14:e0233823. [PMID: 38009935 PMCID: PMC10746160 DOI: 10.1128/mbio.02338-23] [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: 08/31/2023] [Accepted: 10/09/2023] [Indexed: 11/29/2023] Open
Abstract
IMPORTANCE Epstein-Barr virus (EBV) causes multiple human cancers, including B-cell lymphomas. In cell culture, EBV converts healthy human B-cells into immortalized ones that grow continuously, which model post-transplant lymphomas. Constitutive signaling from two cytoplasmic tail domains of the EBV oncogene latent membrane protein 1 (LMP1) is required for this transformation, yet there has not been systematic analysis of their host gene targets. We identified that only signaling from the membrane proximal domain is required for survival of these EBV-immortalized cells and that its loss triggers apoptosis. We identified key LMP1 target genes, whose abundance changed significantly with loss of LMP1 signals, or that were instead upregulated in response to switching on signaling by one or both LMP1 domains in an EBV-uninfected human B-cell model. These included major anti-apoptotic factors necessary for EBV-infected B-cell survival. Bioinformatics analyses identified clusters of B-cell genes that respond differently to signaling by either or both domains.
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Affiliation(s)
- Bidisha Mitra
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Integrated Solutions for Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Nina Rose Beri
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Integrated Solutions for Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Rui Guo
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Integrated Solutions for Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Eric M. Burton
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Integrated Solutions for Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Laura A. Murray-Nerger
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Integrated Solutions for Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin E. Gewurz
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Integrated Solutions for Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
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37
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Radford EJ, Tan HK, Andersson MHL, Stephenson JD, Gardner EJ, Ironfield H, Waters AJ, Gitterman D, Lindsay S, Abascal F, Martincorena I, Kolesnik-Taylor A, Ng-Cordell E, Firth HV, Baker K, Perry JRB, Adams DJ, Gerety SS, Hurles ME. Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation. Nat Commun 2023; 14:7702. [PMID: 38057330 PMCID: PMC10700591 DOI: 10.1038/s41467-023-43041-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/30/2023] [Indexed: 12/08/2023] Open
Abstract
Loss-of-function of DDX3X is a leading cause of neurodevelopmental disorders (NDD) in females. DDX3X is also a somatically mutated cancer driver gene proposed to have tumour promoting and suppressing effects. We perform saturation genome editing of DDX3X, testing in vitro the functional impact of 12,776 nucleotide variants. We identify 3432 functionally abnormal variants, in three distinct classes. We train a machine learning classifier to identify functionally abnormal variants of NDD-relevance. This classifier has at least 97% sensitivity and 99% specificity to detect variants pathogenic for NDD, substantially out-performing in silico predictors, and resolving up to 93% of variants of uncertain significance. Moreover, functionally-abnormal variants can account for almost all of the excess nonsynonymous DDX3X somatic mutations seen in DDX3X-driven cancers. Systematic maps of variant effects generated in experimentally tractable cell types have the potential to transform clinical interpretation of both germline and somatic disease-associated variation.
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Affiliation(s)
- Elizabeth J Radford
- Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
- Department of Paediatrics, University of Cambridge, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Hong-Kee Tan
- Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | | | | | - Eugene J Gardner
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | | | | | | | | | | | | | | | - Elise Ng-Cordell
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Department of Psychology, University of British Columbia, Vancouver, Canada
| | - Helen V Firth
- Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
- Department of Medical Genetics, University of Cambridge, Cambridge, UK
| | - Kate Baker
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Department of Medical Genetics, University of Cambridge, Cambridge, UK
| | - John R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
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38
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Zhou W, Fischer A, Ogwang MD, Luo W, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Otim I, Legason ID, Nabalende H, Ayers LW, Bhatia K, Goedert JJ, Gouveia MH, Cole N, Hicks B, Jones K, Hummel M, Schlesner M, Chagaluka G, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Glaser S, Kretzmer H, Manning M, Hutchinson A, Hsing AW, Tettey Y, Adjei AA, Chanock SJ, Siebert R, Yeager M, Prokunina-Olsson L, Machiela MJ, Mbulaiteye SM. Mosaic chromosomal alterations in peripheral blood leukocytes of children in sub-Saharan Africa. Nat Commun 2023; 14:8081. [PMID: 38057307 PMCID: PMC10700489 DOI: 10.1038/s41467-023-43881-0] [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: 02/09/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023] Open
Abstract
In high-income countries, mosaic chromosomal alterations in peripheral blood leukocytes are associated with an elevated risk of adverse health outcomes, including hematologic malignancies. We investigate mosaic chromosomal alterations in sub-Saharan Africa among 931 children with Burkitt lymphoma, an aggressive lymphoma commonly characterized by immunoglobulin-MYC chromosomal rearrangements, 3822 Burkitt lymphoma-free children, and 674 cancer-free men from Ghana. We find autosomal and X chromosome mosaic chromosomal alterations in 3.4% and 1.7% of Burkitt lymphoma-free children, and 8.4% and 3.7% of children with Burkitt lymphoma (P-values = 5.7×10-11 and 3.74×10-2, respectively). Autosomal mosaic chromosomal alterations are detected in 14.0% of Ghanaian men and increase with age. Mosaic chromosomal alterations in Burkitt lymphoma cases include gains on chromosomes 1q and 8, the latter spanning MYC, while mosaic chromosomal alterations in Burkitt lymphoma-free children include copy-neutral loss of heterozygosity on chromosomes 10, 14, and 16. Our results highlight mosaic chromosomal alterations in sub-Saharan African populations as a promising area of research.
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Affiliation(s)
- Weiyin Zhou
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Anja Fischer
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | | | - Wen Luo
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Constance N Tenge
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Pamela A Were
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N Wekesa
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Mateus H Gouveia
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Nathan Cole
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Michael Hummel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Berlin, Germany
- Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
| | - Mathias Schlesner
- Biomedical Informatics, Data Mining and Data Analytics, University of Augsburg, Augsburg, Germany
| | - George Chagaluka
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Eric Borgstein
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - George N Liomba
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Steve Kamiza
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Nyengo Mkandawire
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Collins Mitambo
- Research Department, Ministry of Health, P.O. Box 30377, Lilongwe 3, Malawi
| | - Elizabeth M Molyneux
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Selina Glaser
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Helene Kretzmer
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Michelle Manning
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ann W Hsing
- Stanford Cancer Institute, Stanford University, Stanford, Palo Alto, CA, USA
| | - Yao Tettey
- Department of Pathology, University of Ghana Medical School, College of Health Sciences, P.O. Box KB 52, Korle-Bu, Accra, Ghana
| | - Andrew A Adjei
- Department of Pathology, University of Ghana Medical School, College of Health Sciences, P.O. Box KB 52, Korle-Bu, Accra, Ghana
| | - Stephen J Chanock
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Meredith Yeager
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA.
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39
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Klapper W. [Lymphomas in children and adolescents]. PATHOLOGIE (HEIDELBERG, GERMANY) 2023; 44:338-347. [PMID: 37608069 DOI: 10.1007/s00292-023-01216-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/03/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Lymphomas in children and adolescents differ from adulthood in relative frequency and variety of entities. In addition, young patients are cared for according to the specific standards of pediatric lymphoma study groups. OBJECTIVE To present lymphomas of diagnostic and clinical relevance in the pediatric and adolescent group. MATERIAL AND METHODS Selective literature research ( http://www.ncbi.nlm.nih.gov ) was combined with clinico-pathological experience of the authors. RESULTS Children and adolescents are much more likely to suffer from aggressive and precursor cell lymphoma than is the case in adulthood. Unlike adult patients, Burkitt lymphomas and diffuse large B‑cell lymphomas are not treated fundamentally differently. Entities that have been described relatively recently and are particularly common in young patients are high-grade B‑cell lymphoma with 11q aberrations and large-cell B‑cell lymphoma with IRF4 translocations. CONCLUSION Lymphoma diagnosis in children and adolescents is characterized by the particular spectrum of diseases that occur at this age. Special knowledge about the clinical relevance of the diagnoses in childhood is helpful in order to enable rapid clinical decision making.
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Affiliation(s)
- Wolfram Klapper
- Institut für Pathologie, Sektion Hämatopathologie und Lymphknotenregister, Universitätsklinikum Schleswig-Holstein (UKSH), Campus Kiel, Arnold-Heller-Str. 3, Haus U33, 24105, Kiel, Deutschland.
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40
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Mitra B, Beri NR, Guo R, Burton EM, Murray-Nerger LA, Gewurz BE. Characterization of Target Gene Regulation by the Two Epstein-Barr Virus Oncogene LMP1 Domains Essential for B-cell Transformation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.10.536234. [PMID: 37090591 PMCID: PMC10120669 DOI: 10.1101/2023.04.10.536234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
The Epstein-Barr virus (EBV) oncogene latent membrane protein 1 (LMP1) mimics CD40 signaling and is expressed by multiple malignancies. Two LMP1 C-terminal cytoplasmic tail regions, termed transformation essential sites (TES) 1 and 2, are critical for EBV transformation of B lymphocytes into immortalized lymphoblastoid cell lines (LCL). However, TES1 versus TES2 B-cell target genes have remained incompletely characterized, and whether both are required for LCL survival has remained unknown. To define LCL LMP1 target genes, we profiled transcriptome-wide effects of acute LMP1 CRISPR knockout (KO) prior to cell death. To then characterize specific LCL TES1 and TES2 roles, we conditionally expressed wildtype, TES1 null, TES2 null or double TES1/TES2 null LMP1 alleles upon endogenous LMP1 KO. Unexpectedly, TES1 but not TES2 signaling was critical for LCL survival. The LCL dependency factor cFLIP, which plays obligatory roles in blockade of LCL apoptosis, was highly downmodulated by loss of TES1 signaling. To further characterize TES1 vs TES2 roles, we conditionally expressed wildtype, TES1 and/or TES2 null LMP1 alleles in two Burkitt models. Systematic RNAseq analyses revealed gene clusters that responded more strongly to TES1 versus TES2, that respond strongly to both or that are oppositely regulated. Robust TES1 effects on cFLIP induction were again noted. TES1 and 2 effects on expression of additional LCL dependency factors, including BATF and IRF4, and on EBV super-enhancers were identified. Collectively, these studies suggest a model by which LMP1 TES1 and TES2 jointly remodel the B-cell transcriptome and highlight TES1 as a key therapeutic target.
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Affiliation(s)
- Bidisha Mitra
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston MA 02115, USA
- Center for Integrated Solutions in Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Nina Rose Beri
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston MA 02115, USA
- Center for Integrated Solutions in Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Rui Guo
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston MA 02115, USA
- Center for Integrated Solutions in Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Eric M. Burton
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston MA 02115, USA
- Center for Integrated Solutions in Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Laura A. Murray-Nerger
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston MA 02115, USA
- Center for Integrated Solutions in Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Benjamin E. Gewurz
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston MA 02115, USA
- Center for Integrated Solutions in Infectious Disease, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, USA
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41
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Siddiqui SH, Thakral B, Aakash F, Ok CY, Tang Z, Medeiros LJ. From the archives of MD Anderson Cancer Center: Sporadic Burkitt lymphoma with a complex karyotype and SOX11 expression. Ann Diagn Pathol 2023; 66:152182. [PMID: 37543028 DOI: 10.1016/j.anndiagpath.2023.152182] [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: 07/15/2023] [Accepted: 07/20/2023] [Indexed: 08/07/2023]
Abstract
Burkitt lymphoma (BL) is a mature B-cell neoplasm arising from germinal center B-cells. There are three epidemiological variants of which the sporadic variant is most prevalent in developed countries representing 1-2 % of all lymphomas in adults. Patients usually present with bulky abdominal masses and ~ 30 % have bone marrow involvement. BL is characterized by a germinal center B-cell immunophenotype and usually has a simple karyotype. Here we report an unusual case of sporadic BL in a 44-year-old man and we use this case to review sporadic BL in adults. The patient presented with a cecal mass and bone marrow involvement. Biopsy of the cecal mass and bone marrow evaluation showed infiltration by intermediate-size lymphoma cells positive for monotypic kappa, CD10, CD19, CD20, CD22, CD38 bright, CD43, CD45, Bcl6 and ROR1, and negative for CD11c, CD23, CD30, CD44, CD200 and Bcl2. As expected, the lymphoma cells were strongly positive for MYC and Ki-67 showed a proliferation rate of nearly 100 %, but the cells were also positive for SOX11 and cytoplasmic LEF1. Conventional chromosomal analysis revealed t(8;14) as part of a complex karyotype. Based on our literature review, and is shown in this case, sporadic BL in adults shows some differences with the classic description of BL in children. We also discuss the differential diagnosis of BL.
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Affiliation(s)
- Saima Haleem Siddiqui
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Beenu Thakral
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Fnu Aakash
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Chi Young Ok
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Zhenya Tang
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
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42
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Lakhotia R, Dunleavy K, Abramson JS, Link BK, Powell BL, Melani C, Lucas AN, Steinberg SM, Friedberg JW, Kahl BS, Little RF, Bartlett NL, Noy A, Wilson WH, Roschewski M. Prognostic factors for adult patients with Burkitt lymphoma treated with dose-adjusted EPOCH-R. Blood Adv 2023; 7:5320-5324. [PMID: 37389844 PMCID: PMC10506053 DOI: 10.1182/bloodadvances.2023010223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/15/2023] [Accepted: 06/04/2023] [Indexed: 07/01/2023] Open
Affiliation(s)
- Rahul Lakhotia
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Kieron Dunleavy
- Department of Hematology-Oncology, Georgetown University, Washington, DC
| | - Jeremy S. Abramson
- Center for Lymphoma, Massachusetts General Hospital Cancer Center, Boston, MA
| | - Brian K. Link
- Department of Medicine, University of Iowa, Iowa City, IA
| | - Bayard L. Powell
- Department of Internal Medicine-Section on Hematology and Oncology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Christopher Melani
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Andrea N. Lucas
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Seth M. Steinberg
- Biostatistics and Data Management Section, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Brad S. Kahl
- Lymphoma Program, Washington University School of Medicine Siteman Cancer Center, St. Louis, MO
| | | | - Nancy L. Bartlett
- Lymphoma Program, Washington University School of Medicine Siteman Cancer Center, St. Louis, MO
| | - Ariela Noy
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Mark Roschewski
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
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43
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Mburu W, Devesa SS, Check D, Shiels MS, Mbulaiteye SM. Incidence of Burkitt lymphoma in the United States during 2000 to 2019. Int J Cancer 2023; 153:1182-1191. [PMID: 37278097 PMCID: PMC10524887 DOI: 10.1002/ijc.34618] [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: 03/18/2023] [Revised: 05/08/2023] [Accepted: 05/24/2023] [Indexed: 06/07/2023]
Abstract
Burkitt lymphoma (BL) is an aggressive B-cell lymphoma that occurs worldwide. A study of BL in the US National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) program during 1973 to 2005 (n = 3043) revealed three age-specific incidence peaks of BL and rates that were rising. We studied BL cases diagnosed in SEER 22 during 2000 to 2019 (n = 11 626) to investigate age-specific BL incidence rates and temporal trends. The age-standardized BL incidence rate was 3.96/million person-years, with a 2.85:1 male-to-female ratio. The BL rate among both Hispanic and White individuals was higher than in Black individuals (4.52, 4.12 vs 3.14). Age-specific BL rates showed peaks during pediatric, adult and elderly years in males and pediatric and elderly peaks in females. Based on 4524 BL cases with HIV status (SEER 13), only one peak in adult males (45 years) was observed. Overall age-standardized BL incidence rates rose 1.2%/year (not significant) up to 2009 then fell significantly by 2.4%/year thereafter. Temporal trends in BL rates during 2000 to 2019 varied with age group as pediatric BL rates rose 1.1%/year, while elderly BL rates fell 1.7%/year and adult BL rates rose 3.4%/year until 2007 before falling 3.1%/year thereafter. Overall survival from BL was 64% at 2 years, being highest in pediatric patients and lowest in Black and elderly individuals vs other subgroups. Survival improved by 20% between 2000 and 2019. Our data suggest that BL age-specific incidence rates are multimodal and that overall BL rates rose up to 2009 and then fell, suggesting changes in etiological factors or diagnosis.
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Affiliation(s)
| | - Susan S. Devesa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - David Check
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Meredith S. Shiels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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44
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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: 26] [Impact Index Per Article: 13.0] [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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45
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Salmerón-Villalobos J, Castrejón-de-Anta N, Guerra-García P, Ramis-Zaldivar JE, López-Guerra M, Mato S, Colomer D, Diaz-Crespo F, Menarguez J, Garrido-Pontnou M, Andrés M, García-Fernández E, Llavador M, Frigola G, García N, González-Farré B, Martín-Guerrero I, Garrido-Colino C, Astigarraga I, Fernández A, Verdú-Amorós J, González-Muñíz S, González B, Celis V, Campo E, Balagué O, Salaverria I. Decoding the molecular heterogeneity of pediatric monomorphic post-solid organ transplant lymphoproliferative disorders. Blood 2023; 142:434-445. [PMID: 37053555 DOI: 10.1182/blood.2022019543] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/28/2023] [Accepted: 03/31/2023] [Indexed: 04/15/2023] Open
Abstract
Posttransplant lymphoproliferative disorders (PTLDs) represent a broad spectrum of lymphoid proliferations, frequently associated with Epstein-Barr virus (EBV) infection. The molecular profile of pediatric monomorphic PTLDs (mPTLDs) has not been elucidated, and it is unknown whether they display similar genetic features as their counterpart in adult and immunocompetent (IMC) pediatric patients. In this study, we investigated 31 cases of pediatric mPTLD after solid organ transplantation, including 24 diffuse large B-cell lymphomas (DLBCLs), mostly classified as activated B cell, and 7 cases of Burkitt lymphoma (BL), 93% of which were EBV positive. We performed an integrated molecular approach, including fluorescence in situ hybridization, targeted gene sequencing, and copy number (CN) arrays. Overall, PTLD-BL carried mutations in MYC, ID3, DDX3X, ARID1A, or CCND3 resembling IMC-BL, higher mutational burden than PTLD-DLBCL, and lesser CN alterations than IMC-BL. PTLD-DLBCL showed a very heterogeneous genomic profile with fewer mutations and CN alterations than IMC-DLBCL. Epigenetic modifiers and genes of the Notch pathway were the most recurrently mutated in PTLD-DLBCL (both 28%). Mutations in cell cycle and Notch pathways correlated with a worse outcome. All 7 patients with PTLD-BL were alive after treatment with pediatric B-cell non-Hodgkin lymphoma protocols, whereas 54% of patients with DLBCL were cured with immunosuppression reduction, rituximab, and/or low-dose chemotherapy. These findings highlight the low complexity of pediatric PTLD-DLBCL, their good response to low-intensity treatment, and the shared pathogenesis between PTLD-BL and EBV-positive IMC-BL. We also suggest new potential parameters that could help in the diagnosis and the design of better therapeutic strategies for these patients.
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Affiliation(s)
- Julia Salmerón-Villalobos
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
| | - Natalia Castrejón-de-Anta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Pilar Guerra-García
- Pediatric Hematology and Oncology Department, Hospital Universitario La Paz, Translational Research in Pediatric Oncology, Hematopoietic Transplantation and Cell Therapy, Instituto de Investigación Sanitaria del Hospital Universitario La Paz - IdiPAZ, Madrid, Spain
| | - Joan Enric Ramis-Zaldivar
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
| | - Mónica López-Guerra
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Sara Mato
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
| | - Dolors Colomer
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Francisco Diaz-Crespo
- Pathology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Javier Menarguez
- Pathology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | | | - Mara Andrés
- Pediatric Hematology and Oncology Department, Hospital Universitario y Politécnico La Fe de Valencia, Valencia, Spain
| | | | - Margarita Llavador
- Pathology Department, Hospital Universitario y Politécnico La Fe de Valencia, Valencia, Spain
| | - Gerard Frigola
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Noelia García
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Blanca González-Farré
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Idoia Martín-Guerrero
- Department of Genetics, Physics Anthropology and Animal Physiology, Faculty of Science and Technology, Universidad del Pais Vasco/Euskal Herriko Unibertsitatea, Leioa, Spain
- Department of Pediatrics, Osakidetza, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, Barakaldo, Spain
- Departament of Pediatrics, Universidad del Pais Vasco/Euskal Herriko Unibertsitatea, Leioa, Spain
| | - Carmen Garrido-Colino
- Pediatric Oncology and Hematology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Itziar Astigarraga
- Department of Pediatrics, Osakidetza, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, Barakaldo, Spain
- Departament of Pediatrics, Universidad del Pais Vasco/Euskal Herriko Unibertsitatea, Leioa, Spain
| | - Alba Fernández
- Pediatric Oncology and Hematology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jaime Verdú-Amorós
- Pediatric Oncology and Hematology Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Soledad González-Muñíz
- Pediatric Oncology and Hematology Department, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Berta González
- Pediatric Hematology and Oncology Department, Hospital Universitario La Paz, Translational Research in Pediatric Oncology, Hematopoietic Transplantation and Cell Therapy, Instituto de Investigación Sanitaria del Hospital Universitario La Paz - IdiPAZ, Madrid, Spain
| | - Verónica Celis
- Pediatric Oncology and Hematology Department, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Elías Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Olga Balagué
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
- Hematopathology Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red-Oncología, Madrid, Spain
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Olszewski AJ. Meet the Burkitts: a dark zone family. Blood 2023; 141:816-818. [PMID: 36821186 DOI: 10.1182/blood.2022018509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
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Qureshi QUA, Audas TE, Morin RD, Coyle KM. Emerging roles for heterogeneous ribonuclear proteins in normal and malignant B cells. Biochem Cell Biol 2023; 101:160-171. [PMID: 36745874 DOI: 10.1139/bcb-2022-0332] [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: 02/08/2023] Open
Abstract
Heterogeneous nuclear ribonucleoproteins (hnRNPs) are among the most abundantly expressed RNA binding proteins in the cell and play major roles in all facets of RNA metabolism. hnRNPs are increasingly appreciated as essential for mammalian B cell development by regulating the carefully ordered expression of specific genes. Due to this tight regulation of the hnRNP-RNA network, it is no surprise that a growing number of genes encoding hnRNPs have been causally associated with the onset or progression of many cancers, including B cell neoplasms. Here we discuss our current understanding of hnRNP-driven regulation in normal, perturbed, and malignant B cells, and the most recent and emerging therapeutic innovations aimed at targeting the hnRNP-RNA network in lymphoma.
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Affiliation(s)
- Qurat Ul Ain Qureshi
- Department of Molecular Biology & Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Timothy E Audas
- Department of Molecular Biology & Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Ryan D Morin
- Department of Molecular Biology & Biochemistry, Simon Fraser University, Burnaby, BC, Canada.,Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Krysta M Coyle
- Department of Molecular Biology & Biochemistry, Simon Fraser University, Burnaby, BC, Canada
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Lacroix M, Beauchemin H, Khandanpour C, Möröy T. The RNA helicase DDX3 and its role in c-MYC driven germinal center-derived B-cell lymphoma. Front Oncol 2023; 13:1148936. [PMID: 37035206 PMCID: PMC10081492 DOI: 10.3389/fonc.2023.1148936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
DDX3X is an RNA helicase with many functions in RNA metabolism such as mRNA translation, alternative pre-mRNA splicing and mRNA stability, but also plays a role as a regulator of transcription as well as in the Wnt/beta-catenin- and Nf-κB signaling pathways. The gene encoding DDX3X is located on the X-chromosome, but escapes X-inactivation. Hence females have two active copies and males only one. However, the Y chromosome contains the gene for the male DDX3 homologue, called DDX3Y, which has a very high sequence similarity and functional redundancy with DDX3X, but shows a more restricted protein expression pattern than DDX3X. High throughput sequencing of germinal center (GC)-derived B-cell malignancies such as Burkitt Lymphoma (BL) and Diffuse large B-cell lymphoma (DLBCL) samples showed a high frequency of loss-of-function (LOF) mutations in the DDX3X gene revealing several features that distinguish this gene from others. First, DDX3X mutations occur with high frequency particularly in those GC-derived B-cell lymphomas that also show translocations of the c-MYC proto-oncogene, which occurs in almost all BL and a subset of DLBCL. Second, DDX3X LOF mutations occur almost exclusively in males and is very rarely found in females. Third, mutations in the male homologue DDX3Y have never been found in any type of malignancy. Studies with human primary GC B cells from male donors showed that a loss of DDX3X function helps the initial process of B-cell lymphomagenesis by buffering the proteotoxic stress induced by c-MYC activation. However, full lymphomagenesis requires DDX3 activity since an upregulation of DDX3Y expression is invariably found in GC derived B-cell lymphoma with DDX3X LOF mutation. Other studies with male transgenic mice that lack Ddx3x, but constitutively express activated c-Myc transgenes in B cells and are therefore prone to develop B-cell malignancies, also showed upregulation of the DDX3Y protein expression during the process of lymphomagenesis. Since DDX3Y is not expressed in normal human cells, these data suggest that DDX3Y may represent a new cancer cell specific target to develop adjuvant therapies for male patients with BL and DLBCL and LOF mutations in the DDX3X gene.
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Affiliation(s)
- Marion Lacroix
- Institut de Recherches Cliniques de Montréal, IRCM, Montréal, QC, Canada
- Division of Experimental Medicine, McGill University, Montréal, QC, Canada
| | - Hugues Beauchemin
- Institut de Recherches Cliniques de Montréal, IRCM, Montréal, QC, Canada
| | - Cyrus Khandanpour
- Klinik für Hämatologie und Onkologie, University Hospital Schleswig Holstein, University Lübeck, Lübeck, Germany
- *Correspondence: Tarik Möröy, ; Cyrus Khandanpour,
| | - Tarik Möröy
- Institut de Recherches Cliniques de Montréal, IRCM, Montréal, QC, Canada
- Division of Experimental Medicine, McGill University, Montréal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada
- *Correspondence: Tarik Möröy, ; Cyrus Khandanpour,
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