1
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Salvaris RT, Allanson BM, Collins G, Cheah C. Nodular lymphocyte-predominant Hodgkin lymphoma: advances in disease biology, risk stratification, and treatment. Haematologica 2024; 109:3476-3487. [PMID: 39234861 PMCID: PMC11532684 DOI: 10.3324/haematol.2024.285903] [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: 05/23/2024] [Accepted: 08/23/2024] [Indexed: 09/06/2024] Open
Abstract
Recent updates have detailed how patients with nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) may be better risk stratified using prognostic scoring systems. Most patients with NLPHL present with early-stage disease and have an indolent disease course. To reflect these differences from classic Hodgkin lymphoma, nomenclature has been updated to recognize nodular lymphocyte-predominant B-cell lymphoma as an alternative to NLPHL. The Global NLPHL One Working Group have published their pivotal dataset in 2024 which challenges the prognostic significance of variant immunoarchitectural (IAP) patterns and proposes a new prognostic scoring system. Key identified prognostic factors include age >45 years, stage III-IV disease, hemoglobin <10.5 g/dL and splenic involvement. After multivariate analysis, variant IAP was not shown to be associated with inferior outcome. As most patients with NLPHL have excellent long-term survival, identifying patients where treatment de-escalation is appropriate will help to minimize toxicity. De-escalation strategies include observation after fully resected stage I disease, active surveillance, anti-CD20 antibody monotherapy, radiotherapy in early-stage disease, and avoiding anthracycline- or bleomycin-containing chemotherapy regimens. Evidence supporting the use of novel therapies remains limited with disappointing results from a recently published study of ibrutinib in patients with relapsed NLPHL. Hopefully, future trials will investigate novel agents such as checkpoint inhibitors, T-cell engaging antibodies and chimeric antigen receptor T-cell therapy.
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Affiliation(s)
- Ross T Salvaris
- Department of Haematology, Monash Health, Clayton, Victoria, Australia; School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria
| | | | - Graham Collins
- Oxford University Hospitals NHS Foundation Trust, Headington, Oxford, United Kingdom; Barts and The London School of Medicine and Dentistry, London
| | - Chan Cheah
- Department of Haematology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia; School of Medicine, University of Western Australia, Crawley, Western Australia.
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2
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Gunawardana J, Law SC, Sabdia MB, Fennell É, Hennessy A, Leahy CI, Murray PG, Bednarska K, Brosda S, Trotman J, Berkahn L, Zaharia A, Birch S, Burgess M, Talaulikar D, Lee JN, Jude E, Hawkes EA, Jain S, Nath K, Snell C, Swain F, Tobin JWD, Keane C, Shanavas M, Blyth E, Steidl C, Savage K, Farinha P, Boyle M, Meissner B, Green MR, Vega F, Gandhi MK. Intra-tumoral and peripheral blood TIGIT and PD-1 as immune biomarkers in nodular lymphocyte predominant Hodgkin lymphoma. Am J Hematol 2024; 99:2096-2107. [PMID: 39152767 PMCID: PMC11469944 DOI: 10.1002/ajh.27459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 07/12/2024] [Accepted: 07/28/2024] [Indexed: 08/19/2024]
Abstract
In classical Hodgkin lymphoma (cHL), responsiveness to immune-checkpoint blockade (ICB) is associated with specific tumor microenvironment (TME) and peripheral blood features. The role of ICB in nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is not established. To gain insights into its potential in NLPHL, we compared TME and peripheral blood signatures between HLs using an integrative multiomic analysis. A discovery/validation approach in 121 NLPHL and 114 cHL patients highlighted >2-fold enrichment in programmed cell death-1 (PD-1) and T-cell Ig and ITIM domain (TIGIT) gene expression for NLPHL versus cHL. Multiplex imaging showed marked increase in intra-tumoral protein expression of PD-1+ (and/or TIGIT+) CD4+ T-cells and PD-1+CD8+ T-cells in NLPHL compared to cHL. This included T-cells that rosetted with lymphocyte predominant (LP) and Hodgkin Reed-Sternberg (HRS) cells. In NLPHL, intra-tumoral PD-1+CD4+ T-cells frequently expressed TCF-1, a marker of heightened T-cell response to ICB. The peripheral blood signatures between HLs were also distinct, with higher levels of PD-1+TIGIT+ in TH1, TH2, and regulatory CD4+ T-cells in NLPHL versus cHL. Circulating PD-1+CD4+ had high levels of TCF-1. Notably, in both lymphomas, highly expanded populations of clonal TIGIT+PD-1+CD4+ and TIGIT+PD-1+CD8+ T-cells in the blood were also present in the TME, indicating that immune-checkpoint expressing T-cells circulated between intra-tumoral and blood compartments. In in vitro assays, ICB was capable of reducing rosette formation around LP and HRS cells, suggesting that disruption of rosetting may be a mechanism of action of ICB in HL. Overall, results indicate that further evaluation of ICB is warranted in NLPHL.
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Affiliation(s)
- Jay Gunawardana
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Soi C. Law
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Muhammed B. Sabdia
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Éanna Fennell
- School of Medicine, Limerick Digital Cancer Research Centre, Health Research Institute and Bernal Institute, University of Limerick, Limerick, Ireland
| | - Aoife Hennessy
- School of Medicine, Limerick Digital Cancer Research Centre, Health Research Institute and Bernal Institute, University of Limerick, Limerick, Ireland
| | - Ciara I. Leahy
- School of Medicine, Limerick Digital Cancer Research Centre, Health Research Institute and Bernal Institute, University of Limerick, Limerick, Ireland
| | - Paul G. Murray
- School of Medicine, Limerick Digital Cancer Research Centre, Health Research Institute and Bernal Institute, University of Limerick, Limerick, Ireland
- Royal College of Surgeons Ireland, Adliya, Bahrain
| | - Karolina Bednarska
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Sandra Brosda
- Frazer Institute, University of Queensland, Translational Research Institute Brisbane, Australia
| | - Judith Trotman
- Concord Repatriation General Hospital, University of Sydney, Sydney, Australia
- Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW
| | - Leanne Berkahn
- Department of Haematology, Auckland City Hospital, Auckland, New Zealand
| | - Andreea Zaharia
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Simone Birch
- Princess Alexandra Hospital, Brisbane, Australia
| | - Melinda Burgess
- School of Medicine, Limerick Digital Cancer Research Centre, Health Research Institute and Bernal Institute, University of Limerick, Limerick, Ireland
- Princess Alexandra Hospital, Brisbane, Australia
| | - Dipti Talaulikar
- Haematology Translational Research Unit, ACT Pathology, Canberra Health Services, Canberra, Australia
- College of Health and Medicine, Australian National University, Canberra, Australia
| | - Justina N. Lee
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | | | - Eliza A. Hawkes
- Olivia Newton John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia
- Transfusion Research Unit, School of Public Health and Preventative Medicine, Monash University, Melbourne Australia
| | - Sanjiv Jain
- Anatomical Pathology Department, The Canberra Hospital, Canberra, Australia
| | - Karthik Nath
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
- Memorial Sloan Kettering Cancer Center, NY, USA
| | - Cameron Snell
- Peter MacCallum Cancer Centre, Melbourne, Australia
- Mater Pathology, Brisbane, Australia
| | - Fiona Swain
- Royal College of Surgeons Ireland, Adliya, Bahrain
- Princess Alexandra Hospital, Brisbane, Australia
| | - Joshua W. D. Tobin
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
- Princess Alexandra Hospital, Brisbane, Australia
| | - Colm Keane
- Frazer Institute, University of Queensland, Translational Research Institute Brisbane, Australia
- Princess Alexandra Hospital, Brisbane, Australia
| | - Mohamed Shanavas
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Emily Blyth
- Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW
- Department of Haematology, Westmead Hospital, Westmead, NSW, Australia
- Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW
| | | | - Kerry Savage
- British Columbia Cancer Agency, Vancouver, Canada
| | | | | | | | | | - Francisco Vega
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maher K. Gandhi
- Blood Cancer Research Group, Mater Research, University of Queensland, Translational Research Institute, Brisbane, Australia
- Princess Alexandra Hospital, Brisbane, Australia
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3
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Schmidt-Barbo P, Kalweit G, Naouar M, Paschold L, Willscher E, Schultheiß C, Märkl B, Dirnhofer S, Tzankov A, Binder M, Kalweit M. Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. PLoS Comput Biol 2024; 20:e1011570. [PMID: 38954728 PMCID: PMC11249212 DOI: 10.1371/journal.pcbi.1011570] [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: 10/05/2023] [Revised: 07/15/2024] [Accepted: 06/07/2024] [Indexed: 07/04/2024] Open
Abstract
The classification of B cell lymphomas-mainly based on light microscopy evaluation by a pathologist-requires many years of training. Since the B cell receptor (BCR) of the lymphoma clonotype and the microenvironmental immune architecture are important features discriminating different lymphoma subsets, we asked whether BCR repertoire next-generation sequencing (NGS) of lymphoma-infiltrated tissues in conjunction with machine learning algorithms could have diagnostic utility in the subclassification of these cancers. We trained a random forest and a linear classifier via logistic regression based on patterns of clonal distribution, VDJ gene usage and physico-chemical properties of the top-n most frequently represented clonotypes in the BCR repertoires of 620 paradigmatic lymphoma samples-nodular lymphocyte predominant B cell lymphoma (NLPBL), diffuse large B cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL)-alongside with 291 control samples. With regard to DLBCL and CLL, the models demonstrated optimal performance when utilizing only the most prevalent clonotype for classification, while in NLPBL-that has a dominant background of non-malignant bystander cells-a broader array of clonotypes enhanced model accuracy. Surprisingly, the straightforward logistic regression model performed best in this seemingly complex classification problem, suggesting linear separability in our chosen dimensions. It achieved a weighted F1-score of 0.84 on a test cohort including 125 samples from all three lymphoma entities and 58 samples from healthy individuals. Together, we provide proof-of-concept that at least the 3 studied lymphoma entities can be differentiated from each other using BCR repertoire NGS on lymphoma-infiltrated tissues by a trained machine learning model.
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MESH Headings
- Humans
- Machine Learning
- Receptors, Antigen, B-Cell/genetics
- High-Throughput Nucleotide Sequencing/methods
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Computational Biology/methods
- Lymphoma, B-Cell/genetics
- B-Lymphocytes/metabolism
- B-Lymphocytes/immunology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Lymphoma, Large B-Cell, Diffuse/classification
- Algorithms
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Affiliation(s)
- Paul Schmidt-Barbo
- Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland
- Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany
| | - Gabriel Kalweit
- Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany
- Neurorobotics Lab, University of Freiburg, Freiburg, Germany
| | - Mehdi Naouar
- Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany
- Neurorobotics Lab, University of Freiburg, Freiburg, Germany
| | - Lisa Paschold
- Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Edith Willscher
- Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Christoph Schultheiß
- Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland
| | - Bruno Märkl
- Pathology, University Hospital Augsburg, Augsburg, Germany
| | | | | | - Mascha Binder
- Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland
- Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany
- Medical Oncology, University Hospital Basel, Basel, Switzerland
| | - Maria Kalweit
- Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany
- Neurorobotics Lab, University of Freiburg, Freiburg, Germany
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4
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Younes S, Subramanian A, Khan A, Zhao S, Binkley M, Natkunam Y. Spatial phenotyping of nodular lymphocyte predominant Hodgkin lymphoma and T-cell/histiocyte-rich large B-cell lymphoma. Blood Cancer J 2024; 14:92. [PMID: 38821935 PMCID: PMC11143196 DOI: 10.1038/s41408-024-01073-z] [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: 11/18/2023] [Revised: 05/10/2024] [Accepted: 05/16/2024] [Indexed: 06/02/2024] Open
Abstract
Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is a rare lymphoma with sparse tumor B-cells and a favorable prognosis. Variant growth patterns of NLPHL, however, often show advanced stage, progression to T-cell/histiocyte-rich large B-cell lymphoma (THRLBCL) and a worse prognosis. We studied the tumor microenvironment (TME) of NLPHL and THRLBCL using highplex imaging and spatial profiling at the single cell level. Our findings show distinct differences in TME composition and spatial configuration that differ among typical and variant NLPHL and THRLBCL. Typical NLPHL show abundant helper T-cell subsets, while THRLBCL show abundant cytotoxic T-cells and macrophages. Tumor B-cell size and content is lowest in typical NLPHL, followed by variant NLPHL, and highest in THRLBCL, whereas an opposite trend characterized TME B-cells. CD4/CD8 double-positive T-cells are seen in all NLPHL but not in the majority of THRLBCL and are spatially distant from LP-cells and TFH-rosettes. The differences in macrophage/monocyte content in distinguishing NLPHL pattern E from THRLBCL is further corroborated in independent cohorts of cases. Our results validate the current approach to classification and in addition provide novel insights that could be leveraged to refine clinical management for patients with this spectrum of lymphomas.
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Affiliation(s)
- Sheren Younes
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ajay Subramanian
- Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Anum Khan
- Cell Sciences Imaging Facility, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Shuchun Zhao
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Binkley
- Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yasodha Natkunam
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
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5
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Kishida M, Fujisawa M, Steidl C. Molecular biomarkers in classic Hodgkin lymphoma. Semin Hematol 2024:S0037-1963(24)00069-6. [PMID: 38969539 DOI: 10.1053/j.seminhematol.2024.05.005] [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: 05/08/2024] [Accepted: 05/27/2024] [Indexed: 07/07/2024]
Abstract
Classic Hodgkin lymphoma is a unique B-cell derived malignancy featuring rare malignant Hodgkin and Reed Sternberg (HRS) cells that are embedded in a quantitively dominant tumor microenvironment (TME). Treatment of classic Hodgkin lymphoma has significantly evolved in the past decade with improving treatment outcomes for newly diagnosed patients and the minority of patients suffering from disease progression. However, the burden of toxicity and treatment-related long-term sequelae remains high in a typically young patient population. This highlights the need for better molecular biomarkers aiding in risk-adapted treatment strategies and predicting response to an increasing number of available treatments that now prominently involve multiple immunotherapy options. Here, we review modern molecular biomarker approaches that reflect both the biology of the malignant HRS cells and cellular components in the TME, while holding the promise to improve diagnostic frameworks for clinical decision-making and be feasible in clinical trials and routine practice. In particular, technical advances in sequencing and analytic pipelines using liquid biopsies, as well as deep phenotypic characterization of tissue architecture at single-cell resolution, have emerged as the new frontier of biomarker development awaiting further validation and implementation in routine diagnostic procedures.
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Affiliation(s)
- Makoto Kishida
- Centre for Lymphoid Cancer department, BC Cancer, Vancouver, British Columbia, Canada
| | - Manabu Fujisawa
- Centre for Lymphoid Cancer department, BC Cancer, Vancouver, British Columbia, Canada; Institute of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Christian Steidl
- Centre for Lymphoid Cancer department, BC Cancer, Vancouver, British Columbia, Canada; Institute of Medicine, University of Tsukuba, Ibaraki, Japan; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
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6
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Kosydar S, Ansell SM. The biology of classical Hodgkin lymphoma. Semin Hematol 2024:S0037-1963(24)00059-3. [PMID: 38824068 DOI: 10.1053/j.seminhematol.2024.05.001] [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: 04/11/2024] [Accepted: 05/05/2024] [Indexed: 06/03/2024]
Abstract
Classical Hodgkin lymphoma (cHL) is distinguished by several important biological characteristics. The presence of Hodgkin Reed Sternberg (HRS) cells is a defining feature of this disease. The tumor microenvironment with relatively few HRS cells in an expansive infiltrate of immune cells is another key feature. Numerous cell-cell mediated interactions and a plethora of cytokines in the tumor microenvironment collectively work to promote HRS cell growth and survival. Aberrancy and constitutive activation of core signal transduction pathways are a hallmark trait of cHL. Genetic lesions contribute to these dysregulated pathways and evasion of the immune system through a variety of mechanisms is another notable feature of cHL. While substantial elucidation of the biology of cHL has enabled advancements in therapy, increased understanding in the future of additional mechanisms driving cHL may lead to new treatment opportunities.
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Affiliation(s)
| | - Stephen M Ansell
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
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7
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Märkl F, Schultheiß C, Ali M, Chen SS, Zintchenko M, Egli L, Mietz J, Chijioke O, Paschold L, Spajic S, Holtermann A, Dörr J, Stock S, Zingg A, Läubli H, Piseddu I, Anz D, Minden MDV, Zhang T, Nerreter T, Hudecek M, Minguet S, Chiorazzi N, Kobold S, Binder M. Mutation-specific CAR T cells as precision therapy for IGLV3-21 R110 expressing high-risk chronic lymphocytic leukemia. Nat Commun 2024; 15:993. [PMID: 38307904 PMCID: PMC10837166 DOI: 10.1038/s41467-024-45378-w] [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: 12/05/2023] [Accepted: 01/22/2024] [Indexed: 02/04/2024] Open
Abstract
The concept of precision cell therapy targeting tumor-specific mutations is appealing but requires surface-exposed neoepitopes, which is a rarity in cancer. B cell receptors (BCR) of mature lymphoid malignancies are exceptional in that they harbor tumor-specific-stereotyped sequences in the form of point mutations that drive self-engagement of the BCR and autologous signaling. Here, we use a BCR light chain neoepitope defined by a characteristic point mutation (IGLV3-21R110) for selective targeting of a poor-risk subset of chronic lymphocytic leukemia (CLL) with chimeric antigen receptor (CAR) T cells. We develop murine and humanized CAR constructs expressed in T cells from healthy donors and CLL patients that eradicate IGLV3-21R110 expressing cell lines and primary CLL cells, but neither cells expressing the non-pathogenic IGLV3-21G110 light chain nor polyclonal healthy B cells. In vivo experiments confirm epitope-selective cytolysis in xenograft models in female mice using engrafted IGLV3-21R110 expressing cell lines or primary CLL cells. We further demonstrate in two humanized mouse models lack of cytotoxicity towards human B cells. These data provide the basis for advanced approaches of resistance-preventive and biomarker-guided cellular targeting of functionally relevant lymphoma driver mutations sparing normal B cells.
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Affiliation(s)
- Florian Märkl
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | - Christoph Schultheiß
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University and University Hospital Basel, Basel, Switzerland
| | - Murtaza Ali
- Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Shih-Shih Chen
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | | | - Lukas Egli
- Cellular Immunotherapy, Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
| | - Juliane Mietz
- Cellular Immunotherapy, Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
| | - Obinna Chijioke
- Cellular Immunotherapy, Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
- Institute of Pathology and Medical Genetics, University Hospital Basel, Basel, Switzerland
| | - Lisa Paschold
- Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Sebastijan Spajic
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | - Anne Holtermann
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | - Janina Dörr
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | - Sophia Stock
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | - Andreas Zingg
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Cancer Immunotherapy, Department of Biomedicine, University and University Hospital Basel, Basel, Switzerland
| | - Heinz Läubli
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Cancer Immunotherapy, Department of Biomedicine, University and University Hospital Basel, Basel, Switzerland
| | - Ignazio Piseddu
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | - David Anz
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany
| | | | - Tianjiao Zhang
- Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Thomas Nerreter
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Michael Hudecek
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Susana Minguet
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Center of Chronic Immunodeficiency CCI, University Clinics and Medical Faculty, Freiburg, Germany
| | - Nicholas Chiorazzi
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Sebastian Kobold
- Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
- Einheit für Klinische Pharmakologie (EKLiP), Helmholtz Munich, Research Center for Environmental Health (HMGU), Neuherberg, Germany.
| | - Mascha Binder
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland.
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University and University Hospital Basel, Basel, Switzerland.
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8
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Thurner L, Fadle N, Regitz E, Roth S, Cetin O, Kos IA, Hess SM, Bein J, Bohle RM, Vornanen M, Sundström C, De Leval L, Tiacci E, Borchmann P, Engert A, Poeschel V, Held G, Schwarz EC, Neumann F, Preuss KD, Hoth M, Küppers R, Lehman K, Hansmann ML, Becker SL, Bewarder M, Hartmann S. B-cell receptor reactivity against Rothia mucilaginosa in nodular lymphocyte-predominant Hodgkin lymphoma. Haematologica 2023; 108:3347-3358. [PMID: 37139600 PMCID: PMC10690923 DOI: 10.3324/haematol.2023.282698] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/24/2023] [Indexed: 05/05/2023] Open
Abstract
Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is a Hodgkin lymphoma expressing functional B-cell receptors (BCR). Recently, we described a dual stimulation model of IgD+ lymphocyte-predominant cells by Moraxella catarrhalis antigen RpoC and its superantigen MID/hag, associated with extralong CDR3 and HLA-DRB1*04 or HLADRB1* 07 haplotype. The aim of the present study was to extend the antigen screening to further bacteria and viruses. The fragment antibody-binding (Fab) regions of seven new and 15 previously reported cases were analyzed. The reactivity of non-Moraxella spp.-reactive Fab regions against lysates of Rothia mucilaginosa was observed in 5/22 (22.7%) cases. Galactofuranosyl transferase (Gltf) and 2,3-butanediol dehydrogenase (Bdh) of R. mucilaginosa were identified by comparative silver- and immuno-staining in two-dimensional gels, with subsequent mass spectrometry and validation by western blots and enzyme-linked immunosorbent assay. Both R. mucilaginosa Gltf and Bdh induced BCR pathway activation and proliferation in vitro. Apoptosis was induced by recombinant Gltf/ETA'-immunotoxin conjugates in DEV cells expressing recombinant R. mucilaginosa-reactive BCR. Reactivity against M. catarrhalis RpoC was confirmed in 3/7 newly expressed BCR (total 10/22 reactive to Moraxella spp.), resulting in 15/22 (68.2%) cases with BCR reactivity against defined bacterial antigens. These findings strengthen the hypothesis of bacterial trigger contributing to subsets of NLPHL.
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Affiliation(s)
- Lorenz Thurner
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar.
| | - Natalie Fadle
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Evi Regitz
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Sophie Roth
- Institute of Medical Microbiology and Hygiene, Saarland University, Homburg
| | - Onur Cetin
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Igor Age Kos
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Simon Mauro Hess
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Julia Bein
- Dr. Senckenberg Institute of Pathology, Goethe University Hospital of Frankfurt am Main, Theodor-Stern-Kai
| | - Rainer Maria Bohle
- Saarland University Medical School, Institute of Pathology, Homburg/Saar
| | - Martine Vornanen
- Department of Pathology, Tampere University Hospital and University of Tampere, Tampere 33520, Finland.
| | - Christer Sundström
- Department of Immunology, Genetics and Pathology, Uppsala University Hospital, Uppsala, Sweden.
| | | | - Enrico Tiacci
- Institute of Hematology, Ospedale S. Maria della Misericordia, and the Department of Medicine, University of Perugia
| | - Peter Borchmann
- University of Cologne, First Department of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Dusseldorf, Cologne.
| | - Andreas Engert
- University of Cologne, First Department of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Dusseldorf, Cologne.
| | - Viola Poeschel
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Gerhard Held
- Department of Internal Medicine 1, Westpfalz-Klinikum, Kaiserslautern
| | - Eva C Schwarz
- Department of Biophysics, Center for Integrative Physiology and Molecular Medicine, Medical Faculty, Saarland University, Homburg
| | - Frank Neumann
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Klaus-Dieter Preuss
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Markus Hoth
- Department of Biophysics, Center for Integrative Physiology and Molecular Medicine, Medical Faculty, Saarland University, Homburg
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Medical School, Essen, Germany; and Deutsches Konsortium für translationale Krebsforschung (DKTK)
| | | | - Martin-Leo Hansmann
- Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany; Institute of Pathology and Molecular Pathology, Helios University Hospital Wuppertal
| | - Sören L Becker
- Institute of Medical Microbiology and Hygiene, Saarland University, Homburg
| | - Moritz Bewarder
- José Carreras Center for Immuno-and Gene Therapy and Internal Medicine I, Saarland University Medical School, Homburg/Saar
| | - Sylvia Hartmann
- Dr. Senckenberg Institute of Pathology, Goethe University Hospital of Frankfurt am Main, Theodor-Stern-Kai
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Paschold L, Stein A, Thiele B, Tintelnot J, Henkes SS, Coith C, Schultheiß C, Pantel K, Riethdorf S, Binder M. First-line treatment of unresectable or metastatic HER2 positive esophagogastric adenocarcinoma: liquid biomarker analysis of the phase 2 INTEGA trial. J Immunother Cancer 2023; 11:e006678. [PMID: 37328285 PMCID: PMC10277145 DOI: 10.1136/jitc-2023-006678] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/30/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND The addition of nivolumab to trastuzumab and chemotherapy in first-line unresectable or metastatic HER2 positive esophagogastric adenocarcinoma (HER2+ EGA) results in long progression-free and overall survival as shown by the INTEGA (ipilimumab or FOLFOX in combination with nivolumab and trastuzumab in HER2 positive esophagogastric adenocarcinoma) trial. This trial suggested that the chemotherapy backbone is needed in an unselected HER2+ patient population. Yet, it remains an open question if there are specific patient subsets that may benefit from an enhanced immunotherapeutic but chemotherapy-free approach. METHODS We analyzed blood T cell repertoire metrics determined by next-generation sequencing, circulating tumor cell (CTC) counts detected by CellSearch and their expression of HER2 and PD-L1 as potential liquid biomarkers predicting outcomes on ipilimumab versus FOLFOX (folinic acid, FOL, fluorouracil, F, oxaliplatin, OX) chemotherapy added to a backbone of trastuzumab and nivolumab in patients with HER2+ EGA in the INTEGA trial population. RESULTS Patients with two out of three baseline-determined liquid biomarkers-high T cell repertoire richness, absence of CTCs or HER2-expression on CTCs-made up approximately 44% of HER2+ EGA cases and did not show compromise in efficacy if treated with a chemotherapy-free regimen. Long-term responders showing a progression-free survival of >12 months were enriched in this biomarker triad, especially if treated on the chemotherapy-free arm. CONCLUSION Prospective validation of this liquid biomarker triad is needed to molecularly define HER2+ EGA patient subsets with different needs in the first-line systemic treatment setting.
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Affiliation(s)
- Lisa Paschold
- Internal Medicine IV, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Alexander Stein
- Hematology-Oncology Practice Eppendorf (HOPE), Hamburg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Benjamin Thiele
- Department of Internal Medicine II and Clinic of Oncology and Hematology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Joseph Tintelnot
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Cornelia Coith
- Institute of Tumor Biology, Center of Experimental Medicine, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Christoph Schultheiß
- Internal Medicine IV, Martin-Luther-University Halle-Wittenberg, Halle, Germany
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, Laboratory of Translational Immuno-Oncology, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Klaus Pantel
- Institute of Tumor Biology, Center of Experimental Medicine, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Sabine Riethdorf
- Institute of Tumor Biology, Center of Experimental Medicine, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Mascha Binder
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, Laboratory of Translational Immuno-Oncology, University of Basel and University Hospital Basel, Basel, Switzerland
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10
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Hodgkin Lymphoma: Biology and Differential Diagnostic Problem. Diagnostics (Basel) 2022; 12:diagnostics12061507. [PMID: 35741318 PMCID: PMC9221773 DOI: 10.3390/diagnostics12061507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/17/2022] [Accepted: 06/19/2022] [Indexed: 11/17/2022] Open
Abstract
Hodgkin lymphomas (HLs) are lymphoid neoplasms that are morphologically defined as being composed of dysplastic cells, namely, Hodgkin and Reed–Sternberg cells, in a reactive inflammatory background. The biological nature of HLs has long been unclear; however, our understanding of HL-related genetics and tumor microenvironment interactions is rapidly expanding. For example, cell surface overexpression of programmed cell death 1 ligand 1 (CD274/PD-L1) is now considered a defining feature of an HL subset, and targeting such immune checkpoint molecules is a promising therapeutic option. Still, HLs comprise multiple disease subtypes, and some HL features may overlap with its morphological mimics, posing challenging diagnostic and therapeutic problems. In this review, we summarize the recent advances in understanding the biology of HLs, and discuss approaches to differentiating HL and its mimics.
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11
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Pitfalls in the Diagnosis of Nodular Lymphocyte Predominant Hodgkin Lymphoma: Variant Patterns, Borderlines and Mimics. Cancers (Basel) 2021; 13:cancers13123021. [PMID: 34208705 PMCID: PMC8234802 DOI: 10.3390/cancers13123021] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/10/2021] [Accepted: 06/12/2021] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is a rare lymphoma containing infrequent tumor cells (LP cells) in a background of non-neoplastic cells. Some cases of NLPHL can recur or progress to a more aggressive lymphoma, such as diffuse large B-cell lymphoma. Awareness of the different appearances of NLPHL and its overlap with other lymphomas are important for the appropriate diagnosis, classification and research. This article discusses the conceptual framework and guidelines for the diagnosis of NLPHL, and how NLPHL can be best separated from its mimics. Emerging data in the field point to genetic changes in LP cells that are shaped by immune mechanisms. In addition, non-neoplastic cells in the background of LP cells also appear to play an important role. Further investigation is necessary to fully understand the biology of NLPHL and personalize cancer care for patients affected by this lymphoma. Abstract Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) represents approximately 5% of Hodgkin lymphoma and typically affects children and young adults. Although the overall prognosis is favorable, variant growth patterns in NLPHL correlate with disease recurrence and progression to T-cell/histiocyte-rich large B-cell lymphoma or frank diffuse large B-cell lymphoma (DLBCL). The diagnostic boundary between NLPHL and DLBCL can be difficult to discern, especially in the presence of variant histologies. Both diagnoses are established using morphology and immunophenotype and share similarities, including the infrequent large tumor B-cells and the lymphocyte and histiocyte-rich microenvironment. NLPHL also shows overlap with other lymphomas, particularly, classic Hodgkin lymphoma and T-cell lymphomas. Similarly, there is overlap with non-neoplastic conditions, such as the progressive transformation of germinal centers. Given the significant clinical differences among these entities, it is imperative that NLPHL and its variants are carefully separated from other lymphomas and their mimics. In this article, the characteristic features of NLPHL and its diagnostic boundaries and pitfalls are discussed. The current understanding of genetic features and immune microenvironment will be addressed, such that a framework to better understand biological behavior and customize patient care is provided.
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12
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Straus DJ. Progress in understanding the biology of nodular lymphocyte predominant Hodgkin lymphoma. Haematologica 2021; 106:2538. [PMID: 33882643 PMCID: PMC8485658 DOI: 10.3324/haematol.2021.278785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Indexed: 11/09/2022] Open
Abstract
Not available.
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