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Frauenfeld L, Campo E. Advances in the Classification of Aggressive B-cell Lymphomas. Adv Anat Pathol 2025; 32:208-219. [PMID: 39812126 DOI: 10.1097/pap.0000000000000484] [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: 01/16/2025]
Abstract
Aggressive B-cell lymphomas are a biologically and clinically very heterogeneous group of tumors that may be related to different stages of B-cell differentiation development. This review aims to summarize recent advances in the understanding of these tumors with a focus on the practical approach to the diagnosis of these entities. We analyze the defining characteristics of the different subtypes of aggressive B-cell lymphomas, including nodal and extranodal diffuse large B-cell lymphoma, virus-associated lymphomas, terminally differentiated B-cell lymphomas, high-grade B-cell lymphomas, and Burkitt lymphoma. This review particularly explores the integration of morphologic, immunophenotypic, and genetic data that refine diagnostic accuracy and prognostic stratification, underscoring the necessity for a standardized approach in clinical practice. By synthesizing current knowledge, this review aims to enhance the understanding of aggressive B-cell lymphomas within the context of the evolving classification system, paving the way for future research and clinical advancements.
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MESH Headings
- Humans
- Lymphoma, B-Cell/classification
- Lymphoma, B-Cell/pathology
- Lymphoma, B-Cell/genetics
- Lymphoma, B-Cell/diagnosis
- Burkitt Lymphoma/pathology
- Burkitt Lymphoma/classification
- Lymphoma, Large B-Cell, Diffuse/pathology
- Lymphoma, Large B-Cell, Diffuse/classification
- Immunophenotyping
- Prognosis
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/analysis
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Affiliation(s)
- Leonie Frauenfeld
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS)
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tubingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Elias Campo
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS)
- Hematopathology Unit, Hospital Cliníc de Barcelona, University of Barcelona, Barcelona
- Centro de Investigacion Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
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2
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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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3
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Gabriel JA, Weerasinghe N, Balachandran P, Salih R, Orchard GE. A Narrative Review of Molecular, Immunohistochemical and In-Situ Techniques in Dermatopathology. Br J Biomed Sci 2024; 81:13437. [PMID: 39741925 PMCID: PMC11687224 DOI: 10.3389/bjbs.2024.13437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 11/15/2024] [Indexed: 01/03/2025]
Abstract
Skin disorders pose a significant health burden globally, affecting millions of individuals across diverse demographics. Advancements in molecular techniques have revolutionised our understanding of the underlying mechanisms of skin disorders, offering insights into their pathogenesis, diagnosis, and potential targeted treatment. Furthermore, the integration of molecular diagnostics into clinical practice has enhanced the accuracy of skin disorder diagnoses. Polymerase chain reaction (PCR), next-generation sequencing (NGS), and other molecular assays have allowed for the detection of infectious agents, assessment of genetic mutations, and profile gene expression patterns with unequalled precision. These techniques have proven instrumental in distinguishing between subtypes of skin cancers, aiding treatment strategies and prognostic assessments. Moreover, molecular profiling is increasingly guiding the selection of therapeutic agents, ensuring a personalised and effective approach to managing skin disorders. The application of PCR has revolutionised the field by enabling the identification of microbial DNA (i.e., Mycobacterium tuberculosis and Epstein-Barr Virus) in skin infections and detecting specific genetic mutations associated with dermatological disorders (e.g., BRAF). DNA sequencing technologies, such as next-generation sequencing, have facilitated the elucidation of genetic variations and mutations in skin diseases (i.e., bullous disorders), paving the way for personalised treatment approaches. Gene expression profiling techniques, such as microarrays and RNA sequencing, have provided insights into dysregulated pathways and molecular signatures associated with conditions ranging from inflammatory skin disorders to cutaneous malignancies. Immunohistochemistry and fluorescence in situ hybridization have proven invaluable in determining protein expression patterns and detecting chromosomal abnormalities, respectively, aiding in the characterization of skin lesions in conjunction with the molecular data. Proteomic studies have contributed to understanding the intricate protein networks involved in dermatological conditions (i.e., psoriasis), while epigenetic analyses have shed light on the role of epigenetic modifications in gene regulation within skin cancer (i.e., Malignant Melanoma). Together, these molecular techniques have laid the groundwork for targeted therapies and precision medicine in dermatology, with implications for improved diagnostics and treatment outcomes. This review focuses on the routinely employed molecular techniques within dermatopathology, with a focus on cutaneous malignancies, autoimmune diseases, infectious diseases, and neonatal screening which can be implemented in the diagnosis and contribute to improved patient care.
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Affiliation(s)
- J. A. Gabriel
- St. John’s Dermatopathology Laboratory, Synnovis Analytics, St. Thomas’ Hospital, London, United Kingdom
| | - N. Weerasinghe
- School of Health, Sports and Biosciences, University of East London, London, United Kingdom
| | - P. Balachandran
- St. John’s Dermatopathology Laboratory, Synnovis Analytics, St. Thomas’ Hospital, London, United Kingdom
| | - R. Salih
- St. John’s Dermatopathology Laboratory, Synnovis Analytics, St. Thomas’ Hospital, London, United Kingdom
| | - G. E. Orchard
- St. John’s Dermatopathology Laboratory, Synnovis Analytics, St. Thomas’ Hospital, London, United Kingdom
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Abro B, Maurer MJ, Habermann TM, Burack WR, Chapman JR, Cohen JB, Friedberg JW, Inghirami G, Kahl BS, Larson MC, Link BK, Lossos IS, Martin P, McDonnell TJ, Nastoupil LJ, Riska SM, Syrbu S, Vega F, Vij KR, Flowers CR, Cerhan JR, Jaye DL, Feldman AL. Real-world impact of differences in the WHO and ICC classifications of non-Hodgkin lymphoma: a LEO cohort study analysis. Blood 2024; 144:2063-2066. [PMID: 39255410 PMCID: PMC11561535 DOI: 10.1182/blood.2024025681] [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: 06/07/2024] [Revised: 08/20/2024] [Accepted: 08/20/2024] [Indexed: 09/12/2024] Open
Abstract
ABSTRACT Recent introduction of 2 different lymphoma classifications has raised concerns about consistency in diagnosis, management, and clinical trial enrollment. Data from a large cohort reflecting real-world clinical practice suggest that differences between the classifications will affect <1% of non-Hodgkin lymphomas.
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Affiliation(s)
- Brooj Abro
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA
| | - Matthew J. Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | - W. Richard Burack
- Department of Pathology and Laboratory Medicine, University of Rochester, Rochester, NY
| | - Jennifer R. Chapman
- Department of Pathology & Laboratory Medicine, University of Miami, Miami, FL
| | - Jonathon B. Cohen
- Department of Hematology and Medical Oncology, Emory University, Atlanta, GA
| | - Jonathan W. Friedberg
- Department of Medical Oncology, Wilmot Cancer Center, University of Rochester, Rochester, NY
| | | | - Brad S. Kahl
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, MO
| | - Melissa C. Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Brian K. Link
- Division of Hematology, Oncology, and Blood & Marrow Transplantation, The University of Iowa, Iowa City, IA
| | | | - Peter Martin
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Timothy J. McDonnell
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Loretta J. Nastoupil
- Department of Lymphoma & Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shaun M. Riska
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Sergei Syrbu
- Department of Pathology, The University of Iowa, Iowa City, IA
| | - Francisco Vega
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kiran R. Vij
- Department of Pathology, Washington University School of Medicine, St. Louis, MO
| | - Christopher R. Flowers
- Department of Lymphoma & Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - James R. Cerhan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - David L. Jaye
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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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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6
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Di J, Wei S, Jackson A, Munker R, Kesler MV. Transition From Epstein-Barr Virus (EBV)-Positive Rectal Hodgkin Lymphoma to Diffuse Large B-Cell Lymphoma in the Lung. Cureus 2024; 16:e65013. [PMID: 39165470 PMCID: PMC11333787 DOI: 10.7759/cureus.65013] [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] [Accepted: 07/20/2024] [Indexed: 08/22/2024] Open
Abstract
We report a distinctive case of sequential lymphomas in a 72-year-old male, initially diagnosed with Epstein-Barr virus (EBV)-positive rectal classic Hodgkin lymphoma (cHL), followed by the development of diffuse large B cell lymphoma (DLBCL) in the lung. This rare progression underscores the complexity of lymphomas associated with EBV infection and their unpredictable clinical courses. The patient's journey began with symptoms of intractable diarrhea, low appetite, and significant weight loss, leading to the diagnosis of stage 4B cHL, managed initially with brentuximab/doxorubicin, vinblastine, dacarbazine (AVD) chemotherapy. Despite a partial response, surveillance identified a transition to DLBCL, marked by new pulmonary lesions. This case highlights the clinical and diagnostic challenges in managing sequential lymphomas, emphasizing the role of EBV in lymphomagenesis and the potential for clonal evolution from a common precursor cell. The therapeutic approach evolved from targeted chemotherapy to consideration of advanced treatments such as autologous stem cell transplant and chimeric antigen receptor (CAR) T-cell therapy, reflecting the aggressive nature and poor prognosis of the disease. This case contributes to our understanding of the EBV's impact on lymphoma progression and underscores the need for vigilant monitoring and adaptive treatment strategies in similar clinical scenarios.
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Affiliation(s)
- Jing Di
- Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, USA
| | - Sainan Wei
- Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, USA
| | - Amie Jackson
- Hematology and Oncology, Baptist Health Lexington, Lexington, USA
| | - Reinhold Munker
- Hematology and Oncology, University of Kentucky HealthCare, Lexington, USA
| | - Melissa V Kesler
- Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, USA
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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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Panayi C, Akarca AU, Ramsay AD, Shankar AG, Falini B, Piris MA, Linch D, Marafioti T. Microenvironmental immune cell alterations across the spectrum of nodular lymphocyte predominant Hodgkin lymphoma and T-cell/histiocyte-rich large B-cell lymphoma. Front Oncol 2023; 13:1267604. [PMID: 37854674 PMCID: PMC10579566 DOI: 10.3389/fonc.2023.1267604] [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: 07/26/2023] [Accepted: 09/18/2023] [Indexed: 10/20/2023] Open
Abstract
Background The clinicopathological spectrum of nodular lymphocyte predominant Hodgkin lymphoma (NLPHL), also known as nodular lymphocyte predominant B-cell lymphoma, partially overlaps with T-cell/histiocyte-rich large B-cell lymphoma (THRLCBL). NLPHL histology may vary in architecture and B-cell/T-cell composition of the tumour microenvironment. However, the immune cell phenotypes accompanying different histological patterns remain poorly characterised. Methods We applied a multiplexed immunofluorescence workflow to identify differential expansion/depletion of multiple microenvironmental immune cell phenotypes between cases of NLPHL showing different histological patterns (as described by Fan et al, 2003) and cases of THRLBCL. Results FOXP3-expressing T-regulatory cells were conspicuously depleted across all NLPHL cases. As histology progressed to variant Fan patterns C and E of NLPHL and to THRLBCL, there were progressive expansions of cytotoxic granzyme-B-expressing natural killer and CD8-positive T-cells, PD1-expressing CD8-positive T-cells, and CD163-positive macrophages including a PDL1-expressing subset. These occurred in parallel to depletion of NKG2A-expressing natural killer and CD8-positive T-cells. Discussion These findings provide new insights on the immunoregulatory mechanisms involved in NLPHL and THLRBCL pathogenesis, and are supportive of an increasingly proposed biological continuum between these two lymphomas. Additionally, the findings may help establish new biomarkers of high-risk disease, which could support a novel therapeutic program of immune checkpoint interruption targeting the PD1:PDL1 and/or NKG2A:HLA-E axes in the management of high-risk NLPHL and THRLBCL.
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Affiliation(s)
- Christos Panayi
- Department of Cellular Pathology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Ayse U. Akarca
- University College London (UCL) Cancer Institute, University College London, London, United Kingdom
| | - Alan D. Ramsay
- Department of Cellular Pathology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Ananth G. Shankar
- Children and Young People’s Cancer Services, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Brunangelo Falini
- Institute of Hematology and Center for Haemato-Oncological Research (CREO), University of Perugia and Santa Maria della Misericordia Hospital, Perugia, Italy
| | - Miguel A. Piris
- Pathology Department, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain
| | - David Linch
- Research Department of Haematology, Cancer Institute, University College London, London, United Kingdom
| | - Teresa Marafioti
- Department of Cellular Pathology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- University College London (UCL) Cancer Institute, University College London, London, United Kingdom
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9
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Maqboul I, Abatli S, Shbaita S, Daraghmeh L, Younis O, Abu Rass H. Abnormal Presentation and Challenging Diagnosis of Mediastinal Lymphoma: A Case Report. Cureus 2023; 15:e45668. [PMID: 37745738 PMCID: PMC10517235 DOI: 10.7759/cureus.45668] [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] [Accepted: 09/21/2023] [Indexed: 09/26/2023] Open
Abstract
We describe a rare case of classical Hodgkin lymphoma (HL) in a 20-year-old female patient. She presented to our hospital with chest wall swelling after months of post-chest trauma management. The swelling was initially treated as an infected hematoma, and the patient was referred for surgical evacuation. During the surgery, the swelling was found to be a mass that extended to the mediastinum. A biopsy was taken, which later resulted in the diagnosis of a granular cell tumor (GCT). A decision on surgical resection by video-assisted thoracoscopic surgery (VATS) was taken after discussion with the multidisciplinary team of surgery, cardiothoracic surgery, oncology, pathology, and radiology. During the surgery, a frozen section biopsy was taken, which showed no features of lymphoma or granular cell tumors. The surgery was followed by a midline sternotomy to control the bleeding from an accidentally injured major vessel. The bleeding was controlled, and the mass was dissected and sent for histopathological examination. The histopathology showed nodular classical HL features, and the patient was referred for chemotherapy. In our case, the patient was initially diagnosed with GCT, but with complete resection and an adequate biopsy, the mass was found to be a classical HL. Possible cross-cellularity is questioned, and the possible correlation between the two findings encouraged us to report this case.
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Affiliation(s)
- Iyad Maqboul
- Department of General Surgery, An-Najah National University Hospital, An-Najah National University, Nablus, PSE
| | - Safaa Abatli
- Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, PSE
| | - Sara Shbaita
- Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, PSE
| | - Laith Daraghmeh
- Department of General Surgery, An-Najah National University Hospital, Nablus, PSE
| | - Omar Younis
- Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, PSE
| | - Hanood Abu Rass
- Department of Pathology, An-Najah National University Hospital, Nablus, PSE
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10
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[Classification of Hodgkin lymphoma and related entities : News and open questions]. PATHOLOGIE (HEIDELBERG, GERMANY) 2023; 44:184-192. [PMID: 36930284 DOI: 10.1007/s00292-023-01188-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/12/2023] [Indexed: 03/18/2023]
Abstract
Two new classifications were recently released: the 5th edition of the WHO classification of hematolymphoid tumors and the International Consensus Classification (ICC) drafted by the Clinical Advisory Committee. In the preparation of both classifications, the previously existing lymphoma categories were reevaluated according to recently obtained data on clinical, morphological, and molecular findings. In this review we summarize the current placements of classic and nodular lymphocyte predominant Hodgkin lymphoma and their relevant differential diagnoses.
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11
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Arber DA, Campo E, Jaffe ES. Advances in the Classification of Myeloid and Lymphoid Neoplasms. Virchows Arch 2023; 482:1-9. [PMID: 36586001 DOI: 10.1007/s00428-022-03487-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 01/01/2023]
Affiliation(s)
- Daniel A Arber
- University of Chicago, 5841 S. Maryland Ave MC3081, Rm S-329, Chicago, IL, 60637, USA.
| | - Elias Campo
- Hematopathology Section, Hospital Clinic of Barcelona, Institute of BIomedical Research August Pi I Sunyer, University of Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Elaine S Jaffe
- Hematopathology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
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12
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Song JY, Dirnhofer S, Piris MA, Quintanilla-Martínez L, Pileri S, Campo E. Diffuse large B-cell lymphomas, not otherwise specified, and emerging entities. Virchows Arch 2023; 482:179-192. [PMID: 36459219 DOI: 10.1007/s00428-022-03466-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/03/2022]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is an aggressive and heterogenous group of diseases and the most common subtype of non-Hodgkin lymphoma. In the past decade, there has been an explosion in molecular profiling that has helped to identify subgroups and shared oncogenic driving mechanisms. Since the 2017 World Health Organization (WHO) classification, additional studies investigating these genomic abnormalities and phenotypic findings have been reported. Here we review these findings in DLBCL and address the proposed changes by the 2022 International Consensus Classification.
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Affiliation(s)
- Joo Y Song
- Department of Pathology, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Miguel A Piris
- Servicio de Anatomia Patologica, Fundacion Jimenez Diaz, CIBERONC, Madrid, Spain
| | - Leticia Quintanilla-Martínez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT, Image-Guided and Functionally Instructed Tumor Therapy, Tübingen, Germany
| | - Stefano Pileri
- Division of Hematopathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Elias Campo
- Hematopathology Unit, Hospital Clinic of Barcelona, Institute for Biomedical Research August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
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