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Artymiuk CJ, Basu S, Koganti T, Tandale P, Balan J, Dina MA, Barr Fritcher EG, Wu X, Ashworth T, He R, Viswanatha DS. Clinical Validation of a Targeted Next-Generation Sequencing Panel for Lymphoid Malignancies. J Mol Diagn 2024; 26:583-598. [PMID: 38582399 DOI: 10.1016/j.jmoldx.2024.03.008] [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: 12/01/2023] [Revised: 02/16/2024] [Accepted: 03/22/2024] [Indexed: 04/08/2024] Open
Abstract
Lymphoid malignancies are a heterogeneous group of hematological disorders characterized by a diverse range of morphologic, immunophenotypic, and clinical features. Next-generation sequencing (NGS) is increasingly being applied to delineate the complex nature of these malignancies and identify high-value biomarkers with diagnostic, prognostic, or therapeutic benefit. However, there are various challenges in using NGS routinely to characterize lymphoid malignancies, including pre-analytic issues, such as sequencing DNA from formalin-fixed, paraffin-embedded tissue, and optimizing the bioinformatic workflow for accurate variant calling and filtering. This study reports the clinical validation of a custom capture-based NGS panel to test for molecular markers in a range of lymphoproliferative diseases and histiocytic neoplasms. The fully validated clinical assay represents an accurate and sensitive tool for detection of single-nucleotide variants and small insertion/deletion events to facilitate the characterization and management of patients with hematologic cancers specifically of lymphoid origin.
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Affiliation(s)
- Cody J Artymiuk
- Molecular Hematopathology Laboratory, Mayo Clinic, Rochester, Minnesota.
| | - Shubham Basu
- Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Tejaswi Koganti
- Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | | | | | - Michelle A Dina
- Molecular Hematopathology Laboratory, Mayo Clinic, Rochester, Minnesota
| | | | - Xianglin Wu
- Clinical Genome Sequencing Laboratory, Mayo Clinic, Rochester, Minnesota
| | - Taylor Ashworth
- Clinical Genome Sequencing Laboratory, Mayo Clinic, Rochester, Minnesota
| | - Rong He
- Hematopathology Division, Mayo Clinic, Rochester, Minnesota
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Coupland SE, Du MQ, Ferry JA, de Jong D, Khoury JD, Leoncini L, Naresh KN, Ott G, Siebert R, Xerri L. The fifth edition of the WHO classification of mature B-cell neoplasms: open questions for research. J Pathol 2024; 262:255-270. [PMID: 38180354 DOI: 10.1002/path.6246] [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: 10/04/2023] [Revised: 11/21/2023] [Accepted: 12/01/2023] [Indexed: 01/06/2024]
Abstract
The fifth edition of the World Health Organization Classification of Haematolymphoid Tumours (WHO-HAEM5) is the product of an evidence-based evolution of the revised fourth edition with wide multidisciplinary consultation. Nonetheless, while every classification incorporates scientific advances and aims to improve upon the prior version, medical knowledge remains incomplete and individual neoplasms may not be easily subclassified in a given scheme. Thus, optimal classification requires ongoing study, and there are certain aspects of some entities and subtypes that require further refinements. In this review, we highlight a selection of these challenging areas to prompt more research investigations. These include (1) a 'placeholder term' of splenic B-cell lymphoma/leukaemia with prominent nucleoli (SBLPN) to accommodate many of the splenic lymphomas previously classified as hairy cell leukaemia variant and B-prolymphocytic leukaemia, a clear new start to define their pathobiology; (2) how best to classify BCL2 rearrangement negative follicular lymphoma including those with BCL6 rearrangement, integrating the emerging new knowledge on various germinal centre B-cell subsets; (3) what is the spectrum of non-IG gene partners of MYC translocation in diffuse large B-cell lymphoma/high-grade B-cell lymphoma and how they impact MYC expression and clinical outcome; how best to investigate this in a routine clinical setting; and (4) how best to define high-grade B-cell lymphoma not otherwise specified and high-grade B-cell lymphoma with 11q aberrations to distinguish them from their mimics and characterise their molecular pathogenetic mechanism. Addressing these questions would provide more robust evidence to better define these entities/subtypes, improve their diagnosis and/or prognostic stratification, leading to better patient care. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Sarah E Coupland
- Liverpool Clinical Laboratories, Liverpool University Hospitals Foundation Trust, Liverpool, UK
| | - Ming-Qing Du
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Judith A Ferry
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Daphne de Jong
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joseph D Khoury
- Department of Pathology, Microbiology and Immunology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Lorenzo Leoncini
- Department of Medical Biotechnology, University of Siena, Siena, Italy
| | - Kikkeri N Naresh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Luc Xerri
- Institut Paoli-Calmettes, CRCM and Aix-Marseille University, Marseille, France
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3
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Bai SJ, Geng Y, Gao YN, Zhang CX, Mi Q, Zhang C, Yang JL, He SJ, Yan ZY, He JX. Marginal zone lymphoma with severe rashes: A case report. World J Clin Cases 2024; 12:565-574. [PMID: 38322474 PMCID: PMC10841955 DOI: 10.12998/wjcc.v12.i3.565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/22/2023] [Accepted: 01/03/2024] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Marginal zone lymphoma (MZL) is an indolent subtype of non-Hodgkin lymphoma (NHL), which is rare clinically with severe rashes as the initial symptom. CASE SUMMARY This study reports a case of MZL with generalized skin rashes accompanied by pruritus and purulent discharge. First-line treatment with rituximab combined with zanubrutinib had poor effects. However, after switching to obinutuzumab combined with zanubrutinib, the case was alleviated, and the rashes disappeared. CONCLUSION For patients with advanced stage MZL not benefiting from type I anti-CD20 monoclonal antibody (mAb) combination therapy, switching to a type II anti-CD20 mAb combination regimen may be considered. This approach may provide a new perspective in the treatment of MZL.
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Affiliation(s)
- Si-Jun Bai
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Ye Geng
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Yi-Nan Gao
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Cai-Xia Zhang
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Qian Mi
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Chen Zhang
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Jia-Ling Yang
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Si-Jie He
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Zhen-Ying Yan
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Jian-Xia He
- Department of Hematology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
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Breinholt MF, Schejbel L, Gang AO, Nielsen TH, Pedersen LM, Høgdall E, Nørgaard P. Next generation sequencing in routine diagnostics of mature non-Hodgkin's B-cell lymphomas. Eur J Haematol 2023; 111:583-591. [PMID: 37452559 DOI: 10.1111/ejh.14048] [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: 04/21/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023]
Abstract
INTRODUCTION Integration of molecular characterization of lymphomas in clinical diagnostics may improve subclassification and risk-stratification, and we implemented a next generation sequencing (NGS) analysis as part of routine diagnostic work-up of all mature B-cell non-Hodgkin's lymphoma (B-NHL). Here, we present data of mutational profiles with potential complementary diagnostic, prognostic, and predictive value detected in our consecutive non-selected cohort of B-NHL patients. METHODS NGS results from 298 patients with both newly diagnosed and relapsed/refractory disease were included as a single center study. NGS was performed as routine analysis together with standard diagnostic work-up using a custom-made amplicon PCR-based multiplex NGS panel covering all coding exons and consensus splice sites in 59 genes. RESULTS Mutations were detected in 94% of the 298 samples. Most lymphomas could be classified definitively, but 24 cases were classified as small B-cell lymphomas without defining characteristics. Of these, 50% (12/24 cases) could retrospectively be assigned a likely diagnostic subtype according to mutational findings. CONCLUSION Implementation of a 59 gene exome sequencing panel added diagnostic value to 50% of unclassified cases and provided in 94% of the cases possible biomarkers for disease monitoring as well as potential diagnostic, prognostic, and predictive markers for future studies.
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Affiliation(s)
| | - Lone Schejbel
- Department of Pathology, Herlev-Gentofte Hospital, Herlev, Denmark
| | - Anne Ortved Gang
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Torsten Holm Nielsen
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Danish Medicines Agency, Copenhagen, Denmark
| | - Lars Møller Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Hematology, Zealand University Hospital, Roskilde, Denmark
| | - Estrid Høgdall
- Department of Pathology, Herlev-Gentofte Hospital, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter Nørgaard
- Department of Pathology, Herlev-Gentofte Hospital, Herlev, Denmark
- Department of Pathology, Hvidovre Hospital, Hvidovre, Denmark
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Nagy Á, Bátai B, Kiss L, Gróf S, Király PA, Jóna Á, Demeter J, Sánta H, Bátai Á, Pettendi P, Szendrei T, Plander M, Körösmezey G, Alizadeh H, Kajtár B, Méhes G, Krenács L, Timár B, Csomor J, Tóth E, Schneider T, Mikala G, Matolcsy A, Alpár D, Masszi A, Bödör C. Parallel testing of liquid biopsy (ctDNA) and tissue biopsy samples reveals a higher frequency of EZH2 mutations in follicular lymphoma. J Intern Med 2023; 294:295-313. [PMID: 37259686 DOI: 10.1111/joim.13674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
BACKGROUND Recent genomic studies revealed enhancer of zeste homolog 2 (EZH2) gain-of-function mutations, representing novel therapeutic targets in follicular lymphoma (FL) in around one quarter of patients. However, these analyses relied on single-site tissue biopsies and did not investigate the spatial heterogeneity and temporal dynamics of these alterations. OBJECTIVES We aimed to perform a systematic analysis of EZH2 mutations using paired tissue (tumor biopsies [TB]) and liquid biopsies (LB) collected prior to treatment within the framework of a nationwide multicentric study. METHODS Pretreatment LB and TB samples were collected from 123 patients. Among these, 114 had paired TB and LB, with 39 patients characterized with paired diagnostic and relapse samples available. The EZH2 mutation status and allele burden were assessed using an in-house-designed, highly sensitive multiplex droplet digital PCR assay. RESULTS EZH2 mutation frequency was found to be 41.5% in the entire cohort. In patients with paired TB and LB samples, EZH2 mutations were identified in 37.8% of the patients with mutations exclusively found in 5.3% and 7.9% of TB and LB samples, respectively. EZH2 mutation status switch was documented in 35.9% of the patients with paired diagnostic and relapse samples. We also found that EZH2 wild-type clones may infiltrate the bone marrow more frequently compared to the EZH2 mutant ones. CONCLUSION The in-depth spatio-temporal analysis identified EZH2 mutations in a considerably higher proportion of patients than previously reported. This expands the subset of FL patients who most likely would benefit from EZH2 inhibitor therapy.
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Affiliation(s)
- Ákos Nagy
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Bence Bátai
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Laura Kiss
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Stefánia Gróf
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Péter Attila Király
- Hematology and Lymphoma Unit, National Institute of Oncology, Budapest, Hungary
| | - Ádám Jóna
- Department of Hematology, Faculty of Medicine, Medical School of Clinical Medicine, University of Debrecen, Debrecen, Hungary
| | - Judit Demeter
- Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary
| | - Hermina Sánta
- Szent György Hospital of County Fejér, Székesfehérvár, Hungary
| | - Árpád Bátai
- Szent György Hospital of County Fejér, Székesfehérvár, Hungary
| | - Piroska Pettendi
- Hetényi Géza Hospital, Clinic of County Jász-Nagykun-Szolnok, Szolnok, Hungary
| | - Tamás Szendrei
- Markusovszky University Teaching Hospital, Szombathely, Hungary
| | - Márk Plander
- Markusovszky University Teaching Hospital, Szombathely, Hungary
| | - Gábor Körösmezey
- Department of Medicine, Military Hospital - Medical Centre, Hungarian Defence Forces, Budapest, Hungary
| | - Hussain Alizadeh
- 1st Department of Internal Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Béla Kajtár
- Department of Pathology, Medical School, Clinical Centre, University of Pécs, Pécs, Hungary
| | - Gábor Méhes
- Department of Pathology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - László Krenács
- Laboratory of Tumor Pathology and Molecular Diagnostics, Szeged, Hungary
| | - Botond Timár
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Judit Csomor
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Erika Tóth
- Department of Surgical and Molecular Pathology, National Institute of Oncology, Budapest, Hungary
| | - Tamás Schneider
- Hematology and Lymphoma Unit, National Institute of Oncology, Budapest, Hungary
| | - Gábor Mikala
- Department of Hematology and Stem Cell Transplantation, National Institute for Hematology and Infectious Diseases, South Pest Central Hospital, Budapest, Hungary
| | - András Matolcsy
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
- Department of Laboratory Medicine, Karolinska Institutet, Solna, Sweden
| | - Donát Alpár
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - András Masszi
- Hematology and Lymphoma Unit, National Institute of Oncology, Budapest, Hungary
| | - Csaba Bödör
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
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Böck J, Maurus K, Gerhard-Hartmann E, Brändlein S, Kurz KS, Ott G, Anagnostopoulos I, Rosenwald A, Zamò A. Targeted panel sequencing in the routine diagnosis of mature T- and NK-cell lymphomas: report of 128 cases from two German reference centers. Front Oncol 2023; 13:1231601. [PMID: 37664054 PMCID: PMC10468607 DOI: 10.3389/fonc.2023.1231601] [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: 05/30/2023] [Accepted: 07/31/2023] [Indexed: 09/05/2023] Open
Abstract
Diagnosing any of the more than 30 types of T-cell lymphomas is considered a challenging task for many pathologists and currently requires morphological expertise as well as the integration of clinical data, immunophenotype, flow cytometry and clonality analyses. Even considering all available information, some margin of doubt might remain using the current diagnostic procedures. In recent times, the genetic landscape of most T-cell lymphomas has been elucidated, showing a number of diagnostically relevant mutations. In addition, recent data indicate that some of these genetic alterations might bear prognostic and predictive value. Extensive genetic analyses, such as whole exome or large panel sequencing are still expensive and time consuming, therefore limiting their application in routine diagnostic. We therefore devoted our effort to develop a lean approach for genetic analysis of T-cell lymphomas, focusing on maximum efficiency rather than exhaustively covering all possible targets. Here we report the results generated with our small amplicon-based panel that could be used routinely on paraffin-embedded and even decalcified samples, on a single sample basis in parallel with other NGS-panels used in our routine diagnostic lab, in a relatively short time and with limited costs. We tested 128 available samples from two German reference centers as part of our routine work up (among which 116 T-cell lymphomas), which is the largest routine diagnostic series reported to date. Our results showed that this assay had a very high rate of technical success (97%) and could detect mutations in the majority (79%) of tested T-cell lymphoma samples.
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Affiliation(s)
- Julia Böck
- Institute of Pathology, University of Würzburg, Würzburg, Germany
| | - Katja Maurus
- Institute of Pathology, University of Würzburg, Würzburg, Germany
| | | | | | - Katrin S. Kurz
- Department of Clinical Pathology, Robert-Bosch-Hospital, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Hospital, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
| | | | | | - Alberto Zamò
- Institute of Pathology, University of Würzburg, Würzburg, Germany
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Mu Y, Chen Y, Meng Y, Chen T, Fan X, Yuan J, Lin J, Pan J, Li G, Feng J, Diao K, Li Y, Yu S, Liu L. Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms. Front Oncol 2023; 13:1160383. [PMID: 37601650 PMCID: PMC10436202 DOI: 10.3389/fonc.2023.1160383] [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: 02/07/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023] Open
Abstract
Background Next-generation sequencing (NGS) panels for mature B-cell neoplasms (MBNs) are widely applied clinically but have yet to be routinely used in a manner that is suitable for subtype differential diagnosis. This study retrospectively investigated newly diagnosed cases of MBNs from our laboratory to investigate mutation landscapes in Chinese patients with MBNs and to combine mutational information and machine learning (ML) into clinical applications for MBNs, especially for subtype classification. Methods Samples from the Catalogue Of Somatic Mutations In Cancer (COSMIC) database were collected for ML model construction and cases from our laboratory were used for ML model validation. Five repeats of 10-fold cross-validation Random Forest algorithm was used for ML model construction. Mutation detection was performed by NGS and tumor cell size was confirmed by cell morphology and/or flow cytometry in our laboratory. Results Totally 849 newly diagnosed MBN cases from our laboratory were retrospectively identified and included in mutational landscape analyses. Patterns of gene mutations in a variety of MBN subtypes were found, important to investigate tumorigenesis in MBNs. A long list of novel mutations was revealed, valuable to both functional studies and clinical applications. By combining gene mutation information revealed by NGS and ML, we established ML models that provide valuable information for MBN subtype classification. In total, 8895 cases of 8 subtypes of MBNs in the COSMIC database were collected and utilized for ML model construction, and the models were validated on the 849 MBN cases from our laboratory. A series of ML models was constructed in this study, and the most efficient model, with an accuracy of 0.87, was based on integration of NGS testing and tumor cell sizes. Conclusions The ML models were of great significance in the differential diagnosis of all cases and different MBN subtypes. Additionally, using NGS results to assist in subtype classification of MBNs by method of ML has positive clinical potential.
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Affiliation(s)
- Yafei Mu
- Department of Hematology, The Third Affiliated Hospital of Sun Yat‐sen University and Sun Yat‐sen Institute of Hematology, Guangzhou, China
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Yuxin Chen
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Yuhuan Meng
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Tao Chen
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Xijie Fan
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jiecheng Yuan
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Junwei Lin
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jianhua Pan
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Guibin Li
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jinghua Feng
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Kaiyuan Diao
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Yinghua Li
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Shihui Yu
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Lingling Liu
- Department of Hematology, The Third Affiliated Hospital of Sun Yat‐sen University and Sun Yat‐sen Institute of Hematology, Guangzhou, China
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8
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Xerri L, Laurent C. [Histioseminar: « The contribution of new molecular biology techniques in the diagnosis of lymphoma: myth or reality? ». Case No. 4]. Ann Pathol 2023; 43:135-138. [PMID: 36906452 DOI: 10.1016/j.annpat.2023.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 12/26/2022] [Indexed: 03/11/2023]
Affiliation(s)
- Luc Xerri
- Département de bio-pathologie, institut Paoli-Calmettes, 232, Bd de Sainte-Marguerite, 13009 Marseille, France.
| | - Camille Laurent
- Laboratoire de pathologie, institut universitaire du Cancer-Toulouse, Oncopole, 1, avenue Iréne-Joliot-Curie, 31059 Toulouse cedex 9, France
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9
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de Leval L, Alizadeh AA, Bergsagel PL, Campo E, Davies A, Dogan A, Fitzgibbon J, Horwitz SM, Melnick AM, Morice WG, Morin RD, Nadel B, Pileri SA, Rosenquist R, Rossi D, Salaverria I, Steidl C, Treon SP, Zelenetz AD, Advani RH, Allen CE, Ansell SM, Chan WC, Cook JR, Cook LB, d’Amore F, Dirnhofer S, Dreyling M, Dunleavy K, Feldman AL, Fend F, Gaulard P, Ghia P, Gribben JG, Hermine O, Hodson DJ, Hsi ED, Inghirami G, Jaffe ES, Karube K, Kataoka K, Klapper W, Kim WS, King RL, Ko YH, LaCasce AS, Lenz G, Martin-Subero JI, Piris MA, Pittaluga S, Pasqualucci L, Quintanilla-Martinez L, Rodig SJ, Rosenwald A, Salles GA, San-Miguel J, Savage KJ, Sehn LH, Semenzato G, Staudt LM, Swerdlow SH, Tam CS, Trotman J, Vose JM, Weigert O, Wilson WH, Winter JN, Wu CJ, Zinzani PL, Zucca E, Bagg A, Scott DW. Genomic profiling for clinical decision making in lymphoid neoplasms. Blood 2022; 140:2193-2227. [PMID: 36001803 PMCID: PMC9837456 DOI: 10.1182/blood.2022015854] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 01/28/2023] Open
Abstract
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
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Affiliation(s)
- Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Ash A. Alizadeh
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Stanford Cancer Institute, Stanford University, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Andrew Davies
- Centre for Cancer Immunology, University of Southampton, Southampton, United Kingdom
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Steven M. Horwitz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Stefano A. Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, IEO, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Davide Rossi
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | | | - Andrew D. Zelenetz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Ranjana H. Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Carl E. Allen
- Division of Pediatric Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | | | - Wing C. Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - James R. Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Lucy B. Cook
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Francesco d’Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kieron Dunleavy
- Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, AP-HP, Créteil, France
- Faculty of Medicine, IMRB, INSERM U955, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
| | - John G. Gribben
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Olivier Hermine
- Service D’hématologie, Hôpital Universitaire Necker, Université René Descartes, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Eric D. Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kennosuke Karube
- Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Toyko, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Wolfram Klapper
- Hematopathology Section and Lymph Node Registry, Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Won Seog Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Rebecca L. King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Young H. Ko
- Department of Pathology, Cheju Halla General Hospital, Jeju, Korea
| | | | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - José I. Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Miguel A. Piris
- Department of Pathology, Jiménez Díaz Foundation University Hospital, CIBERONC, Madrid, Spain
| | - Stefania Pittaluga
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY
- Department of Pathology & Cell Biology, Columbia University, New York, NY
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | - Gilles A. Salles
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Navarra, Cancer Center of University of Navarra, Cima Universidad de NavarraI, Instituto de Investigacion Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Céncer, Pamplona, Spain
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Gianpietro Semenzato
- Department of Medicine, University of Padua and Veneto Institute of Molecular Medicine, Padova, Italy
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Judith Trotman
- Haematology Department, Concord Repatriation General Hospital, Sydney, Australia
| | - Julie M. Vose
- Department of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE
| | - Oliver Weigert
- Department of Medicine III, LMU Hospital, Munich, Germany
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jane N. Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Pier L. Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Istitudo di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale Università di Bologna, Bologna, Italy
| | - Emanuele Zucca
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
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Fei F, Natkunam Y, Zehnder JL, Stehr H, Gratzinger D. Diagnostic Impact of Next-Generation Sequencing Panels for Lymphoproliferative Neoplasms on Small-Volume Biopsies. Am J Clin Pathol 2022; 158:345-361. [PMID: 35552630 DOI: 10.1093/ajcp/aqac045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES We investigated the feasibility and utility of next-generation sequencing (NGS)-based targeted somatic mutation panels and IG/TR gene rearrangement assays in the diagnosis of lymphoproliferative disorders (LPDs) in small-volume biopsies. MATERIALS We performed a retrospective, single-institution review of all NGS assays requested over a 3-year period by hematopathologists for diagnostic purposes on small-volume biopsies. RESULTS We identified 59 small-volume biopsies. The TR assay was most commonly requested (42 [71%]), followed by the somatic mutation panel (32 [54%]) and IG assay (26 [44%]). NGS studies were associated with a change in the diagnostic line in about half of cases (28 [47%]) and in a change in the likelihood of a diagnosis in a further 16 cases (27%); there was no diagnostic impact of NGS testing in 15 cases (25%). CONCLUSIONS Implementation of NGS panel somatic mutation or IG/TR gene rearrangement assays on small-volume biopsies contributes to the diagnosis of LPDs in the majority of select cases for diagnostic purposes. The molecular diagnosis is considered in the context of the clinical, histologic, and immunophenotypic findings and does not by itself lead to a definitive diagnosis in small-volume biopsies.
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Affiliation(s)
- Fei Fei
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yasodha Natkunam
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - James L Zehnder
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Henning Stehr
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Dita Gratzinger
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
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Recent Advances in the Genetic of MALT Lymphomas. Cancers (Basel) 2021; 14:cancers14010176. [PMID: 35008340 PMCID: PMC8750177 DOI: 10.3390/cancers14010176] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Mucosa-associated lymphoid tissue (MALT) lymphoma is the most common subtype of marginal zone lymphomas. These B-cell neoplasms may arise from many organs and usually have an indolent behavior. Recurrent chromosomal translocations and cytogenetic alterations are well characterized, some of them being associated to specific sites. Through next-generation sequencing technologies, the mutational landscape of MALT lymphomas has been explored and available data to date show that there are considerable variations in the incidence and spectrum of mutations among MALT lymphoma of different sites. Interestingly, most of these mutations affect several common pathways and some of them are potentially targetable. Gene expression profile and epigenetic studies have also added new information, potentially useful for diagnosis and treatment. This article provides a comprehensive review of the genetic landscape in MALT lymphomas. Abstract Mucosa-associated lymphoid tissue (MALT) lymphomas are a diverse group of lymphoid neoplasms with B-cell origin, occurring in adult patients and usually having an indolent clinical behavior. These lymphomas may arise in different anatomic locations, sharing many clinicopathological characteristics, but also having substantial variances in the aetiology and genetic alterations. Chromosomal translocations are recurrent in MALT lymphomas with different prevalence among different sites, being the 4 most common: t(11;18)(q21;q21), t(1;14)(p22;q32), t(14;18)(q32;q21), and t(3;14)(p14.1;q32). Several chromosomal numerical abnormalities have also been described, but probably represent secondary genetic events. The mutational landscape of MALT lymphomas is wide, and the most frequent mutations are: TNFAIP3, CREBBP, KMT2C, TET2, SPEN, KMT2D, LRP1B, PRDM1, EP300, TNFRSF14, NOTCH1/NOTCH2, and B2M, but many other genes may be involved. Similar to chromosomal translocations, certain mutations are enriched in specific lymphoma types. In the same line, variation in immunoglobulin gene usage is recognized among MALT lymphoma of different anatomic locations. In the last decade, several studies have analyzed the role of microRNA, transcriptomics and epigenetic alterations, further improving our knowledge about the pathogenic mechanisms in MALT lymphoma development. All these advances open the possibility of targeted directed treatment and push forward the concept of precision medicine in MALT lymphomas.
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