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Bryant D, Sale B, Chiodin G, Tatterton D, Stevens B, Adlaon A, Snook E, Batchelor J, Orfao A, Forconi F. Identification, assembly and characterization of tumor immunoglobulin transcripts from RNA sequencing data using IgSeqR. Nat Protoc 2025:10.1038/s41596-025-01172-6. [PMID: 40275113 DOI: 10.1038/s41596-025-01172-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 03/06/2025] [Indexed: 04/26/2025]
Abstract
Immunoglobulin gene analysis provides fundamental insight into B cell receptor structure and function. In B cell tumors, it can provide information on the cell of origin and predict clinical outcomes. Its clinical value has been established in the two main types of chronic lymphocytic leukemia, which are distinguished by the expression of unmutated or mutated immunoglobulin heavy chain variable region (IGHV) genes, and is emerging in other B cell tumors. The traditional PCR and Sanger sequencing-based techniques for immunoglobulin gene analysis are labor-intensive and rely on attaining either a dominant sequence or a small number of subclonal sequences. Extraction of the expressed tumor immunoglobulin transcripts by using high-throughput RNA-sequencing (RNA-seq) can be faster, allow the collection of the tumor immunoglobulin sequence and match this with the rest of the RNA-seq data. Analytical tools are regularly sought to increase the accuracy, depth and speed of acquisition of the immunoglobulin transcript sequences and combine the immunoglobulin characteristics with other tumor features. We provide here a user-friendly protocol for the rapid (~1 h) de novo assembly, identification and accurate characterization of the full (leader to constant region) tumor immunoglobulin templated and non-templated transcript sequence from RNA-seq data ( https://github.com/ForconiLab/IgSeqR ). The derived amino acid sequences can be interrogated for their physicochemical characteristics and, in certain lymphomas, be used to predict tumor glycan types occupying acquired N-glycosylation sites. These features will then be available for association studies with the tumor transcriptome. The resulting information can also help refine diagnosis, prognosis and potential therapeutic targeting in the most common lymphomas.
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Affiliation(s)
- Dean Bryant
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Benjamin Sale
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Clinical Informatics Research Unit, University of Southampton, Southampton, UK
| | - Giorgia Chiodin
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Dylan Tatterton
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Benjamin Stevens
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Alyssa Adlaon
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Erin Snook
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - James Batchelor
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Clinical Informatics Research Unit, University of Southampton, Southampton, UK
| | - Alberto Orfao
- Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), Department of Medicine, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
| | - Francesco Forconi
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
- Haematology Department, Cancer Care Directorate, University Hospital Southampton NHS Trust, Southampton, UK.
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2
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Manu GP, Odabashian M, Krysov S. Perspective on Immunoglobulin N-Glycosylation Status in Follicular Lymphoma: Uncovering BCR-Dependent and Independent Mechanisms Driving Subclonal Evolution. Cancers (Basel) 2025; 17:1219. [PMID: 40227774 PMCID: PMC11987975 DOI: 10.3390/cancers17071219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2025] [Revised: 03/29/2025] [Accepted: 04/02/2025] [Indexed: 04/15/2025] Open
Abstract
Follicular lymphoma (FL) is a heterogeneous and incurable disease. One of the hallmark features of FL cells is the introduction of N-glycosylation (N-gly) amino acid sequence motifs into the immunoglobulin variable (IgV) region through ongoing somatic hypermutation (SHM) in the early stages of lymphoma development. These N-gly motifs, containing oligomannoses, are rarely found in healthy B cells but evidently play a crucial role in the clonal evolution and survival of FL cells in the hostile environment of germinal centers. The random nature of the ongoing SHM in FL occasionally results in the loss of productive immunoglobulin (Ig) genes or the elimination of N-gly motifs in productive genes. Such events typically lead to clonal deletion, as demonstrated by the longitudinal analysis of FL samples. However, rare N-gly-negative subclones demonstrate prolonged survival with evidence of ongoing SHM, giving rise to new N-gly-negative subclones before eventual deletion. This observation suggests the presence of specific mechanisms supporting their survival and proliferation. This perspective examines the current literature and explores whether a detailed transcriptomic and functional comparison of FL subclones characterized by different N-gly statuses, with a particular focus on N-gly-negative subclones, will lead to a comprehensive understanding of both N-gly-dependent and independent pro-survival and proliferative transcriptional signatures. Specifically, it aims to deepen our understanding of FL pathobiology and identify novel therapeutic targets for better disease management.
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Affiliation(s)
- Gloria Pokuaa Manu
- Barts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; (G.P.M.); (M.O.)
- West African Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry Cell and Molecular Biology, University of Ghana, Legon, Accra P.O. Box LG 54, Ghana
| | - Mariette Odabashian
- Barts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; (G.P.M.); (M.O.)
| | - Sergey Krysov
- Barts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; (G.P.M.); (M.O.)
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3
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He M, Zhou X, Wang X. Glycosylation: mechanisms, biological functions and clinical implications. Signal Transduct Target Ther 2024; 9:194. [PMID: 39098853 PMCID: PMC11298558 DOI: 10.1038/s41392-024-01886-1] [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: 10/21/2023] [Revised: 05/25/2024] [Accepted: 06/07/2024] [Indexed: 08/06/2024] Open
Abstract
Protein post-translational modification (PTM) is a covalent process that occurs in proteins during or after translation through the addition or removal of one or more functional groups, and has a profound effect on protein function. Glycosylation is one of the most common PTMs, in which polysaccharides are transferred to specific amino acid residues in proteins by glycosyltransferases. A growing body of evidence suggests that glycosylation is essential for the unfolding of various functional activities in organisms, such as playing a key role in the regulation of protein function, cell adhesion and immune escape. Aberrant glycosylation is also closely associated with the development of various diseases. Abnormal glycosylation patterns are closely linked to the emergence of various health conditions, including cancer, inflammation, autoimmune disorders, and several other diseases. However, the underlying composition and structure of the glycosylated residues have not been determined. It is imperative to fully understand the internal structure and differential expression of glycosylation, and to incorporate advanced detection technologies to keep the knowledge advancing. Investigations on the clinical applications of glycosylation focused on sensitive and promising biomarkers, development of more effective small molecule targeted drugs and emerging vaccines. These studies provide a new area for novel therapeutic strategies based on glycosylation.
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Affiliation(s)
- Mengyuan He
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
| | - Xiangxiang Zhou
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
- Taishan Scholars Program of Shandong Province, Jinan, Shandong, 250021, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, Shandong, 250021, China.
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4
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Stevenson FK, Forconi F. The essential microenvironmental role of oligomannoses specifically inserted into the antigen-binding sites of lymphoma cells. Blood 2024; 143:1091-1100. [PMID: 37992212 DOI: 10.1182/blood.2023022703] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/27/2023] [Accepted: 10/29/2023] [Indexed: 11/24/2023] Open
Abstract
ABSTRACT There are 2 mandatory features added sequentially en route to classical follicular lymphoma (FL): first, the t(14;18) translocation, which upregulates BCL2, and second, the introduction of sequence motifs into the antigen-binding sites of the B-cell receptor (BCR), to which oligomannose-type glycan is added. Further processing of the glycan is blocked by complementarity-determining region-specific steric hindrance, leading to exposure of mannosylated immunoglobulin (Ig) to the microenvironment. This allows for interaction with the local lectin, dendritic cell-specific ICAM-3-grabbing nonintegrin (DC-SIGN), expressed by tissue macrophages and follicular dendritic cells. The major function of DC-SIGN is to engage pathogens, but this is subverted by FL cells. DC-SIGN induces tumor-specific low-level BCR signaling in FL cells and promotes membrane changes with increased adhesion to VCAM-1 via proximal kinases and actin regulators but, in contrast to engagement by anti-Ig, avoids endocytosis and apoptosis. These interactions appear mandatory for the early development of FL, before the acquisition of other accelerating mutations. BCR-associated mannosylation can be found in a subset of germinal center B-cell-like diffuse large B-cell lymphoma with t(14;18), tracking these cases back to FL. This category was associated with more aggressive behavior: both FL and transformed cases and, potentially, a significant number of cases of Burkitt lymphoma, which also has sites for N-glycan addition, could benefit from antibody-mediated blockade of the interaction with DC-SIGN.
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Affiliation(s)
- Freda K Stevenson
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Francesco Forconi
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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5
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Haebe S, Day G, Czerwinski DK, Sathe A, Grimes SM, Chen T, Long SR, Martin B, Ozawa MG, Ji HP, Shree T, Levy R. Follicular lymphoma evolves with a surmountable dependency on acquired glycosylation motifs in the B-cell receptor. Blood 2023; 142:2296-2304. [PMID: 37683139 PMCID: PMC10797552 DOI: 10.1182/blood.2023020360] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/10/2023] Open
Abstract
ABSTRACT An early event in the genesis of follicular lymphoma (FL) is the acquisition of new glycosylation motifs in the B-cell receptor (BCR) due to gene rearrangement and/or somatic hypermutation. These N-linked glycosylation motifs (N-motifs) contain mannose-terminated glycans and can interact with lectins in the tumor microenvironment, activating the tumor BCR pathway. N-motifs are stable during FL evolution, suggesting that FL tumor cells are dependent on them for their survival. Here, we investigated the dynamics and potential impact of N-motif prevalence in FL at the single-cell level across distinct tumor sites and over time in 17 patients. Although most patients had acquired at least 1 N-motif as an early event, we also found (1) cases without N-motifs in the heavy or light chains at any tumor site or time point and (2) cases with discordant N-motif patterns across different tumor sites. Inferring phylogenetic trees of the patients with discordant patterns, we observed that both N-motif-positive and N-motif-negative tumor subclones could be selected and expanded during tumor evolution. Comparing N-motif-positive with N-motif-negative tumor cells within a patient revealed higher expression of genes involved in the BCR pathway and inflammatory response, whereas tumor cells without N-motifs had higher activity of pathways involved in energy metabolism. In conclusion, although acquired N-motifs likely support FL pathogenesis through antigen-independent BCR signaling in most patients with FL, N-motif-negative tumor cells can also be selected and expanded and may depend more heavily on altered metabolism for competitive survival.
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Affiliation(s)
- Sarah Haebe
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Grady Day
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Debra K. Czerwinski
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Anuja Sathe
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Susan M. Grimes
- Stanford Genome Technology Center, Stanford University, Stanford, CA
| | - Tianqi Chen
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Steven R. Long
- Department of Pathology, University of California, San Francisco, CA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Brock Martin
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Michael G. Ozawa
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Hanlee P. Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Tanaya Shree
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Ronald Levy
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
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6
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Parry EM, Roulland S, Okosun J. DLBCL arising from indolent lymphomas: How are they different? Semin Hematol 2023; 60:277-284. [PMID: 38072721 DOI: 10.1053/j.seminhematol.2023.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/10/2023] [Accepted: 11/16/2023] [Indexed: 03/12/2024]
Abstract
Transformation to diffuse large B-cell lymphoma (DLBCL) is a recognized, but unpredictable, clinical inflection point in the natural history of indolent lymphomas. Large retrospective studies highlight a wide variability in the incidence of transformation across the indolent lymphomas and the adverse outcomes associated with transformed lymphomas. Opportunities to dissect the biology of transformed indolent lymphomas have arisen with evolving technologies and unique tissue collections enabling a growing appreciation, particularly, of their genetic basis, how they relate to the preceding indolent lymphomas and the comparative biology with de novo DLBCL. This review summarizes our current understanding of both the clinical and biological aspects of transformed lymphomas and the outstanding questions that remain.
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Affiliation(s)
- Erin M Parry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA
| | - Sandrine Roulland
- Aix-Marseille University, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy, Marseille, France
| | - Jessica Okosun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK; Department of Haemato-Oncology, St Bartholomew's Hospital, London, UK.
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7
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Russler-Germain DA, Krysiak K, Ramirez C, Mosior M, Watkins MP, Gomez F, Skidmore ZL, Trani L, Gao F, Geyer S, Cashen AF, Mehta-Shah N, Kahl BS, Bartlett NL, Alderuccio JP, Lossos IS, Ondrejka SL, Hsi ED, Martin P, Leonard JP, Griffith M, Griffith OL, Fehniger TA. Mutations associated with progression in follicular lymphoma predict inferior outcomes at diagnosis: Alliance A151303. Blood Adv 2023; 7:5524-5539. [PMID: 37493986 PMCID: PMC10514406 DOI: 10.1182/bloodadvances.2023010779] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023] Open
Abstract
Follicular lymphoma (FL) is clinically heterogeneous, with select patients tolerating extended watch-and-wait, whereas others require prompt treatment, suffer progression of disease within 24 months of treatment (POD24), and/or experience aggressive histologic transformation (t-FL). Because our understanding of the relationship between genetic alterations in FL and patient outcomes remains limited, we conducted a clinicogenomic analysis of 370 patients with FL or t-FL (from Cancer and Leukemia Group B/Alliance trials 50402/50701/50803, or real-world cohorts from Washington University School of Medicine, Cleveland Clinic, or University of Miami). FL subsets by grade, stage, watch-and-wait, or POD24 status did not differ by mutation burden, whereas mutation burden was significantly higher in relapsed/refractory (rel/ref) FL and t-FL than in newly diagnosed (dx) FL. Nonetheless, mutation burden in dx FL was not associated with frontline progression-free survival (PFS). CREBBP was the only gene more commonly mutated in FL than in t-FL yet mutated CREBBP was associated with shorter frontline PFS in FL. Mutations in 20 genes were more common in rel/ref FL or t-FL than in dx FL, including 6 significantly mutated genes (SMGs): STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88. We defined a mutations associated with progression (MAP) signature as ≥2 mutations in these 7 genes (6 rel/ref FL or t-FL SMGs plus CREBBP). Patients with dx FL possessing a MAP signature had shorter frontline PFS, revealing a 7-gene set offering insight into FL progression risk potentially more generalizable than the m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI), which had modest prognostic value in our cohort. Future studies are warranted to validate the poor prognosis associated with a MAP signature in dx FL, potentially facilitating novel trials specifically in this high-risk subset of patients.
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Affiliation(s)
- David A. Russler-Germain
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Kilannin Krysiak
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Cody Ramirez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Matthew Mosior
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Marcus P. Watkins
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Felicia Gomez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Zachary L. Skidmore
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Lee Trani
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Feng Gao
- Public Health Sciences Division, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Susan Geyer
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Amanda F. Cashen
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Neha Mehta-Shah
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Brad S. Kahl
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Nancy L. Bartlett
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Juan P. Alderuccio
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Izidore S. Lossos
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Sarah L. Ondrejka
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Eric D. Hsi
- Department of Pathology, Wake Forest Baptist Medical Center, Winston Salem, NC
| | - Peter Martin
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - John P. Leonard
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - Malachi Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Obi L. Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Todd A. Fehniger
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
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8
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Iatrou A, Gounari M, Sofou E, Zaragoza-Infante L, Markopoulos I, Sarrigeorgiou I, Petrakis G, Pechlivanis N, Roumeliotou-Dimou M, Panayiotidis P, Stamatopoulos B, Gkanidou M, Sandaltzopoulos R, Degano M, Koletsa T, Lymberi P, Psomopoulos F, Ghia P, Agathangelidis A, Chatzidimitriou A, Stamatopoulos K. N-Glycosylation of the Ig Receptors Shapes the Antigen Reactivity in Chronic Lymphocytic Leukemia Subset #201. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:743-754. [PMID: 37466373 DOI: 10.4049/jimmunol.2300330] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/04/2023] [Indexed: 07/20/2023]
Abstract
Subset #201 is a clinically indolent subgroup of patients with chronic lymphocytic leukemia defined by the expression of stereotyped, mutated IGHV4-34/IGLV1-44 BCR Ig. Subset #201 is characterized by recurrent somatic hypermutations (SHMs) that frequently lead to the creation and/or disruption of N-glycosylation sites within the Ig H and L chain variable domains. To understand the relevance of this observation, using next-generation sequencing, we studied how SHM shapes the subclonal architecture of the BCR Ig repertoire in subset #201, particularly focusing on changes in N-glycosylation sites. Moreover, we profiled the Ag reactivity of the clonotypic BCR Ig expressed as rmAbs. We found that almost all analyzed cases from subset #201 carry SHMs potentially affecting N-glycosylation at the clonal and/or subclonal level and obtained evidence for N-glycan occupancy in SHM-induced novel N-glycosylation sites. These particular SHMs impact (auto)antigen recognition, as indicated by differences in Ag reactivity between the authentic rmAbs and germline revertants of SHMs introducing novel N-glycosylation sites in experiments entailing 1) flow cytometry for binding to viable cells, 2) immunohistochemistry against various human tissues, 3) ELISA against microbial Ags, and 4) protein microarrays testing reactivity against multiple autoantigens. On these grounds, N-glycosylation appears as relevant for the natural history of at least a fraction of Ig-mutated chronic lymphocytic leukemia. Moreover, subset #201 emerges as a paradigmatic case for the role of affinity maturation in the evolution of Ag reactivity of the clonotypic BCR Ig.
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Affiliation(s)
- Anastasia Iatrou
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Maria Gounari
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - Electra Sofou
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - Laura Zaragoza-Infante
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - Ioannis Markopoulos
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - Ioannis Sarrigeorgiou
- Immunology Laboratory, Immunology Department, Hellenic Pasteur Institute, Athens, Greece
| | - Georgios Petrakis
- Pathology Department, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Pechlivanis
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - Maria Roumeliotou-Dimou
- Hematology Section of the First Department of Propedeutic Internal Medicine, Laikon University Hospital, Athens, Greece
| | - Panagiotis Panayiotidis
- Hematology Section of the First Department of Propedeutic Internal Medicine, Laikon University Hospital, Athens, Greece
| | - Basile Stamatopoulos
- Laboratory of Clinical Cell Therapy, Jules Bordet Institute, Free University of Brussels, Brussels, Belgium
| | - Maria Gkanidou
- Blood Transfusion Department, G. Papanikolaou Hospital, Thessaloniki, Greece
| | - Rafael Sandaltzopoulos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Massimo Degano
- Biocrystallography Unit, Division of Immunology, Transplantation, and Infectious Diseases, IRCCS Scientific Institute San Raffaele, Milan, Italy
| | - Triantafyllia Koletsa
- Pathology Department, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Peggy Lymberi
- Immunology Laboratory, Immunology Department, Hellenic Pasteur Institute, Athens, Greece
| | - Fotis Psomopoulos
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - Paolo Ghia
- Division of Experimental Oncology, IRCCS Scientific Institute San Raffaele, Milan, Italy
| | - Andreas Agathangelidis
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Chatzidimitriou
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
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9
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Gkoliou G, Agathangelidis A, Karakatsoulis G, Lalayanni C, Papalexandri A, Medina A, Genuardi E, Chlichlia K, Hatjiharissi E, Papaioannou M, Terpos E, Jimenez C, Sakellari I, Ferrero S, Ladetto M, Sanz RG, Belessi C, Stamatopoulos K. Differences in the immunoglobulin gene repertoires of IgG versus IgA multiple myeloma allude to distinct immunopathogenetic trajectories. Front Oncol 2023; 13:1123029. [PMID: 36845709 PMCID: PMC9945080 DOI: 10.3389/fonc.2023.1123029] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 01/24/2023] [Indexed: 02/11/2023] Open
Abstract
The analysis of the immunogenetic background of multiple myeloma (MM) has proven key to understanding disease ontogeny. However, limited information is available regarding the immunoglobulin (IG) gene repertoire in MM cases carrying different heavy chain isotypes. Here, we studied the IG gene repertoire in a series of 523 MM patients, of whom 165 and 358 belonged to the IgA and IgG MM groups, respectively. IGHV3 subgroup genes predominated in both groups. However, at the individual gene level, significant (p<0.05) differences were identified regarding IGHV3-21 (frequent in IgG MM) and IGHV5-51 (frequent in IgA MM). Moreover, biased pairings were identified between certain IGHV genes and IGHD genes in IgA versus IgG MM. Turning to the imprints of somatic hypermutation (SHM), the bulk of rearrangements (IgA: 90.9%, IgG: 87.4%) were heavily mutated [exhibiting an IGHV germline identity (GI) <95%]. SHM topology analysis disclosed distinct patterns in IgA MM versus IgG MM cases expressing B cell receptor IG encoded by the same IGHV gene: the most pronounced examples concerned the IGHV3-23, IGHV3-30 and IGHV3-9 genes. Furthermore, differential SHM targeting was also identified between IgA MM versus IgG MM, particularly in cases utilizing certain IGHV genes, alluding to functional selection. Altogether, our detailed immunogenetic evaluation in the largest to-date series of IgA and IgG MM patients reveals certain distinct features in the IGH gene repertoires and SHM. These findings suggest distinct immune trajectories for IgA versus IgG MM, further underlining the role of external drive in the natural history of MM.
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Affiliation(s)
- Glykeria Gkoliou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupoli, Greece
| | - Andreas Agathangelidis
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece,*Correspondence: Andreas Agathangelidis,
| | - Georgos Karakatsoulis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Mathematics, School of Sciences, University of Ioannina, Ioannina, Greece
| | - Chrysavgi Lalayanni
- Hematology Department and HCT Unit, G. Papanikolaou Hospital, Thessaloniki, Greece
| | | | - Alejandro Medina
- Hematology Department, University Hospital of Salamanca, Salamanca, Spain
| | - Elisa Genuardi
- Department of Molecular Biotechnologies and Health Sciences, Hematology Division, University of Turin, Turin, Italy
| | - Katerina Chlichlia
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupoli, Greece
| | - Evdoxia Hatjiharissi
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Maria Papaioannou
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Cristina Jimenez
- Hematology Department, University Hospital of Salamanca, Salamanca, Spain
| | - Ioanna Sakellari
- Hematology Department and HCT Unit, G. Papanikolaou Hospital, Thessaloniki, Greece
| | - Simone Ferrero
- Department of Molecular Biotechnologies and Health Sciences, Hematology Division, University of Turin, Turin, Italy
| | - Marco Ladetto
- Department of Molecular Biotechnologies and Health Sciences, Hematology Division, University of Turin, Turin, Italy
| | - Ramon Garcia Sanz
- Hematology Department, University Hospital of Salamanca, Salamanca, Spain
| | | | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
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10
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Deng X, Zhang M, Zhou J, Xiao M. Next-generation sequencing for MRD monitoring in B-lineage malignancies: from bench to bedside. Exp Hematol Oncol 2022; 11:50. [PMID: 36057673 PMCID: PMC9440501 DOI: 10.1186/s40164-022-00300-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 08/21/2022] [Indexed: 12/02/2022] Open
Abstract
Minimal residual disease (MRD) is considered the strongest relevant predictor of prognosis and an effective decision-making factor during the treatment of hematological malignancies. Remarkable breakthroughs brought about by new strategies, such as epigenetic therapy and chimeric antigen receptor-T (CAR-T) therapy, have led to considerably deeper responses in patients than ever, which presents difficulties with the widely applied gold-standard techniques of MRD monitoring. Urgent demands for novel approaches that are ultrasensitive and provide sufficient information have put a spotlight on high-throughput technologies. Recently, advances in methodology, represented by next-generation sequencing (NGS)-based clonality assays, have proven robust and suggestive in numerous high-quality studies and have been recommended by some international expert groups as disease-monitoring modalities. This review demonstrates the applicability of NGS-based clonality assessment for MRD monitoring of B-cell malignancies by summarizing the oncogenesis of neoplasms and the corresponding status of immunoglobulin (IG) rearrangements. Furthermore, we focused on the performance of NGS-based assays compared with conventional approaches and the interpretation of results, revealing directions for improvement and prospects in clinical practice.
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Affiliation(s)
- Xinyue Deng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China
| | - Meilan Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China
| | - Jianfeng Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China
| | - Min Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, Hubei, 430030, China.
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11
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Leich E, Maier C, Bomben R, Vit F, Bosi A, Horn H, Gattei V, Ott G, Rosenwald A, Zamò A. Follicular lymphoma subgroups with and without t(14;18) differ in their N-glycosylation pattern and IGHV usage. Blood Adv 2021; 5:4890-4900. [PMID: 34614504 PMCID: PMC9153045 DOI: 10.1182/bloodadvances.2021005081] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/23/2021] [Indexed: 11/20/2022] Open
Abstract
We previously reported that t(14;18)-negative follicular lymphomas (FL) show a clear reduction of newly acquired N-glycosylation sites (NANGS) in immunoglobulin genes. We therefore aimed to investigate in-depth the occurrence of NANGS in a larger cohort of t(14;18)-positive and t(14;18)-negative FL, including early (I/II) and advanced (III/IV) stage treatment-naive and relapsed tumors. The clonotype was determined by using a next-generation sequencing approach in a series of 68 FL with fresh frozen material [36 t(14;18) positive and 32 t(14;18) negative]. The frequency of NANGS differed considerably between t(14;18)-positive and t(14;18)-negative FL stage III/IV, but no difference was observed among t(14;18)-positive and t(14;18)-negative FL stage I/II. The introduction of NANGS in all t(14;18)-negative clinical subgroups occurred significantly more often in the FR3 region. Moreover, t(14;18)-negative treatment-naive FL, specifically those with NANGS, showed a strong bias for IGHV4-34 usage compared with t(14;18)-positive treatment-naive cases with NANGS; IGHV4-34 usage was never recorded in relapsed FL. In conclusion, subgroups of t(14;18)-negative FL might use different mechanisms of B-cell receptor stimulation compared with the lectin-mediated binding described in t(14;18)-positive FL, including responsiveness to autoantigens as indicated by biased IGHV4-34 usage and strong NANGS enrichment in FR3.
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Affiliation(s)
- Ellen Leich
- Institute of Pathology, University of Würzburg, Würzburg, Germany
- Comprehensive Cancer Center Main Franken, University Hospital Würzburg, Würzburg, Germany
| | - Claudia Maier
- Institute of Pathology, University of Würzburg, Würzburg, Germany
| | - Riccardo Bomben
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano (PN), Italy
| | - Filippo Vit
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano (PN), Italy
- Department of Life Science, University of Trieste, Trieste, Italy
| | - Alessandro Bosi
- Institute of Pathology, University of Würzburg, Würzburg, Germany
- School of Medicine, University of Milan, Milan, Italy
| | - Heike Horn
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany; and
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tübingen, Tübingen, Germany
| | - Valter Gattei
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano (PN), Italy
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany; and
| | - Andreas Rosenwald
- Institute of Pathology, University of Würzburg, Würzburg, Germany
- Comprehensive Cancer Center Main Franken, University Hospital Würzburg, Würzburg, Germany
| | - Alberto Zamò
- Institute of Pathology, University of Würzburg, Würzburg, Germany
- Comprehensive Cancer Center Main Franken, University Hospital Würzburg, Würzburg, Germany
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12
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Chiodin G, Allen JD, Bryant DJ, Rock P, Martino EA, Valle-Argos B, Duriez PJ, Watanabe Y, Henderson I, Blachly JS, McCann KJ, Strefford JC, Packham G, Geijtenbeek TBH, Figdor CG, Wright GW, Staudt LM, Burack R, Bowden TA, Crispin M, Stevenson FK, Forconi F. Insertion of atypical glycans into the tumor antigen-binding site identifies DLBCLs with distinct origin and behavior. Blood 2021; 138:1570-1582. [PMID: 34424958 PMCID: PMC8554650 DOI: 10.1182/blood.2021012052] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 08/03/2021] [Indexed: 12/12/2022] Open
Abstract
Glycosylation of the surface immunoglobulin (Ig) variable region is a remarkable follicular lymphoma-associated feature rarely seen in normal B cells. Here, we define a subset of diffuse large B-cell lymphomas (DLBCLs) that acquire N-glycosylation sites selectively in the Ig complementarity-determining regions (CDRs) of the antigen-binding sites. Mass spectrometry and X-ray crystallography demonstrate how the inserted glycans are stalled at oligomannose-type structures because they are buried in the CDR loops. Acquisition of sites occurs in ∼50% of germinal-center B-cell-like DLBCL (GCB-DLBCL), mainly of the genetic EZB subtype, irrespective of IGHV-D-J use. This markedly contrasts with the activated B-cell-like DLBCL Ig, which rarely has sites in the CDR and does not seem to acquire oligomannose-type structures. Acquisition of CDR-located acceptor sites associates with mutations of epigenetic regulators and BCL2 translocations, indicating an origin shared with follicular lymphoma. Within the EZB subtype, these sites are associated with more rapid disease progression and with significant gene set enrichment of the B-cell receptor, PI3K/AKT/MTORC1 pathway, glucose metabolism, and MYC signaling pathways, particularly in the fraction devoid of MYC translocations. The oligomannose-type glycans on the lymphoma cells interact with the candidate lectin dendritic cell-specific intercellular adhesion molecule 3 grabbing non-integrin (DC-SIGN), mediating low-level signals, and lectin-expressing cells form clusters with lymphoma cells. Both clustering and signaling are inhibited by antibodies specifically targeting the DC-SIGN carbohydrate recognition domain. Oligomannosylation of the tumor Ig is a posttranslational modification that readily identifies a distinct GCB-DLBCL category with more aggressive clinical behavior, and it could be a potential precise therapeutic target via antibody-mediated inhibition of the tumor Ig interaction with DC-SIGN-expressing M2-polarized macrophages.
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Affiliation(s)
- Giorgia Chiodin
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Joel D Allen
- School of Biological Sciences, University of Southampton, Southampton, United Kingdom
| | - Dean J Bryant
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Philip Rock
- Department of Pathology and Laboratory Medicine/Hematopathology, University of Rochester Medical Center, Rochester, NY
| | - Enrica A Martino
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
- Division of Hematology, Azienda Policlinico-Ospedale Vittorio Emanuele, University of Catania, Catania, Italy
| | - Beatriz Valle-Argos
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Patrick J Duriez
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Yasunori Watanabe
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford, United Kingdom
| | - Isla Henderson
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - James S Blachly
- Division of Hematology, The Ohio State University, Columbus, OH
| | - Katy J McCann
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Jonathan C Strefford
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Graham Packham
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Teunis B H Geijtenbeek
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Carl G Figdor
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - George W Wright
- Biometric Research Branch, Division of Cancer Diagnosis and Treatment
| | - Louis M Staudt
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; and
| | - Richard Burack
- Department of Pathology and Laboratory Medicine/Hematopathology, University of Rochester Medical Center, Rochester, NY
| | - Thomas A Bowden
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford, United Kingdom
| | - Max Crispin
- School of Biological Sciences, University of Southampton, Southampton, United Kingdom
| | - Freda K Stevenson
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
| | - Francesco Forconi
- School of Cancer Sciences, Cancer Research United Kingdom Southampton Centre, Faculty of Medicine
- Haematology Department, Cancer Care Directorate, University Hospital Southampton National Health Service Trust, Southampton, United Kingdom
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13
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Mandel-Brehm C, Fichtner ML, Jiang R, Winton VJ, Vazquez SE, Pham MC, Hoehn KB, Kelleher NL, Nowak RJ, Kleinstein SH, Wilson MR, DeRisi JL, O'Connor KC. Elevated N-Linked Glycosylation of IgG V Regions in Myasthenia Gravis Disease Subtypes. THE JOURNAL OF IMMUNOLOGY 2021; 207:2005-2014. [PMID: 34544801 DOI: 10.4049/jimmunol.2100225] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 08/10/2021] [Indexed: 02/06/2023]
Abstract
Elevated N-linked glycosylation of IgG V regions (IgG-VN-Glyc) is an emerging molecular phenotype associated with autoimmune disorders. To test the broader specificity of elevated IgG-VN-Glyc, we studied patients with distinct subtypes of myasthenia gravis (MG), a B cell-mediated autoimmune disease. Our experimental design focused on examining the B cell repertoire and total IgG. It specifically included adaptive immune receptor repertoire sequencing to quantify and characterize N-linked glycosylation sites in the circulating BCR repertoire, proteomics to examine glycosylation patterns of the total circulating IgG, and an exploration of human-derived recombinant autoantibodies, which were studied with mass spectrometry and Ag binding assays to respectively confirm occupation of glycosylation sites and determine whether they alter binding. We found that the frequency of IgG-VN-Glyc motifs was increased in the total BCR repertoire of patients with MG when compared with healthy donors. The elevated frequency was attributed to both biased V gene segment usage and somatic hypermutation. IgG-VN-Glyc could be observed in the total circulating IgG in a subset of patients with MG. Autoantigen binding, by four patient-derived MG autoantigen-specific mAbs with experimentally confirmed presence of IgG-VN-Glyc, was not altered by the glycosylation. Our findings extend prior work on patterns of Ig V region N-linked glycosylation in autoimmunity to MG subtypes.
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Affiliation(s)
- Caleigh Mandel-Brehm
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | - Miriam L Fichtner
- Department of Neurology, Yale University School of Medicine, New Haven, CT.,Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Ruoyi Jiang
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Valerie J Winton
- Proteomics Center of Excellence, Northwestern University, Evanston, IL
| | - Sara E Vazquez
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | - Minh C Pham
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Kenneth B Hoehn
- Department of Pathology, Yale University School of Medicine, New Haven, CT
| | - Neil L Kelleher
- Department of Chemistry, Chemistry of Life Processes Institute, Proteomics Center of Excellence at Northwestern University, Evanston, IL.,Department of Molecular Biosciences, Chemistry of Life Processes Institute, Proteomics Center of Excellence at Northwestern University, Evanston, IL
| | - Richard J Nowak
- Department of Neurology, Yale University School of Medicine, New Haven, CT
| | - Steven H Kleinstein
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT.,Department of Pathology, Yale University School of Medicine, New Haven, CT.,Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
| | - Michael R Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA; and
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA.,Chan Zuckerberg Biohub, San Francisco, CA
| | - Kevin C O'Connor
- Department of Neurology, Yale University School of Medicine, New Haven, CT; .,Department of Immunobiology, Yale University School of Medicine, New Haven, CT
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14
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Alonso-Álvarez S, Manni M, Montoto S, Sarkozy C, Morschhauser F, Wondergem MJ, Guarini A, Magnano L, Alcoceba M, Chamuleau M, Galimberti S, Gomes da Silva M, Holte H, Zucca E, Lockmer S, Aurer I, Marcheselli L, Stepanishyna Y, Caballero Barrigón MD, Salles G, Federico M. Primary refractory follicular lymphoma: a poor outcome entity with high risk of transformation to aggressive B cell lymphoma. Eur J Cancer 2021; 157:132-139. [PMID: 34508995 DOI: 10.1016/j.ejca.2021.08.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 07/28/2021] [Accepted: 08/05/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Primary refractory (PREF) follicular lymphoma (FL) has a completely different clinical course from that of FL that responds to front-line treatments. In addition to having poor responses to salvage therapies, it seems that patients with PREF are at increased risk of histological transformation (HT). The Aristotle consortium presented the opportunity of investigating the risk of HT in a very large series of cases. Thus, we investigated the risk of HT in patients with PREF FL compared with that of responding patients or in stable disease and ultimately their outcome. METHODS Six thousand three hundred thirty-nine patients from the Aristotle database were included in the analysis. These patients had a histologically confirmed grade 1, 2 or 3a FL diagnosed between 1997 and 2013. The primary end-points were the cumulative incidence (CI) of HT at the first progression or relapse and the survival after transformation. FINDINGS The 5-year CI of HT among patients with PREF was 34% (95% confidence interval (CI): 27-43), whilst it was 7.1% (95% CI: 6.0-8.5) in the group of patients with partial response (PR) or stable disease (SD) (PR + SD) and 3.5% (95% CI: 3.0-4.2) in the group of patients achieving complete response (CR). The 5-year survival after relapse (SAR) was 33% (95% CI: 28-39) for the PREF group, 57% (95% CI 54-61) in patients with PR, 51% (95% CI 43-58) in the SD group after first-line therapy and 63% (95% CI: 66-72) in patients with CR after initial treatment (p-value <0.001). The 5-year SAR for those patients with PREF who developed HT was 21% (95% CI: 12-31), clearly diminished when compared with those patients with PREF who did not experience HT (38% [95% CI: 31-44]) (p-value = 0.001). INTERPRETATION Patients with PREF FL have a dismal outcome and an associated very high rate of HT that further worsens their poor prognosis.
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Affiliation(s)
- Sara Alonso-Álvarez
- Department of Haematology, Hospital Universitario Central de Asturias, Spain.
| | - Martina Manni
- CHIMOMODepartment, University of Modena and Reggio Emilia, Modena, Italy
| | - Silvia Montoto
- St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Clémentine Sarkozy
- INSERM 1052, Charles Mérieux Lyon-1 Faculty, Claude Bernard University, Lyon, France
| | - Franck Morschhauser
- Department of Clinical Haematology, CHU Lille, Unite GRITA, Universite de Lille 2, Lille, France
| | - Marielle J Wondergem
- Department of Hematology, VU University Medical Center, Amsterdam, the Netherlands
| | - Attilio Guarini
- Haematology Unit, IRCCS IstitutoTumori "Giovanni Paolo II", Bari, Italy
| | - Laura Magnano
- Department of Haematology, Hospital Clinic of Barcelona, Spain
| | - Miguel Alcoceba
- Department of Hematology, Hospitalario Universitario de Salamanca (HUS/IBSAL) and CIBERONC, Salamanca, Spain
| | - Martine Chamuleau
- Department of Hematology, VU University Medical Center, Amsterdam, the Netherlands
| | - Sara Galimberti
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Harald Holte
- Department of Oncology, Radiumhospitalet, Oslo University Hospital, Norway
| | - Emanuele Zucca
- Oncology Institute of Southern Switzerland (IOSI), Ospedale San Giovanni, Bellinzona, Switzerland
| | - Sandra Lockmer
- Dep. of Hematology, Karolinska University Hospital and Dep. of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Igor Aurer
- Division of Hematology, Department of Internal Medicine, University Hospital Center Zagreb and Medical School, University of Zagreb, Croatia
| | | | - Yana Stepanishyna
- CHIMOMODepartment, University of Modena and Reggio Emilia, Modena, Italy; Department of Oncohematology, National Cancer Institute, Kiev, Ukraine
| | | | - Gilles Salles
- Gilles SALLES, Lymphoma Service, Memorial Sloan Kettering Cancer Center, NY, USA
| | - Massimo Federico
- CHIMOMODepartment, University of Modena and Reggio Emilia, Modena, Italy
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15
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Kumar E, Pickard L, Okosun J. Pathogenesis of follicular lymphoma: genetics to the microenvironment to clinical translation. Br J Haematol 2021; 194:810-821. [PMID: 33694181 DOI: 10.1111/bjh.17383] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 02/08/2021] [Indexed: 01/10/2023]
Abstract
Follicular lymphoma (FL) represents a heterogeneous disease both clinically and biologically. The pathognomonic t(14;18) translocation can no longer be thought of as the primary genetic driver, with increasing recognition of the biological relevance of recurrent genetic alterations in epigenetic regulators that now feature as a pivotal hallmark of this lymphoma subtype. Furthermore, sequencing studies have provided a near complete catalogue of additional genetic aberrations. Longitudinal and spatial genetic studies add an additional layer to the biological heterogeneity, providing preliminary molecular insights into high-risk phenotypes such as early progressors and transformation, and also supporting evidence for the existence of persisting re-populating cells that act as lymphoma reservoirs and harbingers for FL recurrence. Simultaneously, understanding of the tumour microenvironmental cues promoting lymphomagenesis and disease progression continue to broaden. More recently, studies are beginning to unravel the convergence and co-operation between the genetics, epigenetics and microenvironment. There is a pressing need to marry biology with therapeutics, especially with the burgeoning treatment landscape in FL, to aid in optimising patient selection and guiding the 'right drug to the right patient'.
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Affiliation(s)
- Emil Kumar
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Lucy Pickard
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Jessica Okosun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
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16
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Milpied P, Gandhi AK, Cartron G, Pasqualucci L, Tarte K, Nadel B, Roulland S. Follicular lymphoma dynamics. Adv Immunol 2021; 150:43-103. [PMID: 34176559 DOI: 10.1016/bs.ai.2021.05.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Follicular lymphoma (FL) is an indolent yet challenging disease. Despite a generally favorable response to immunochemotherapy regimens, a fraction of patients does not respond or relapses early with unfavorable prognosis. For the vast majority of those who initially respond, relapses will repeatedly occur with increasing refractoriness to available treatments. Addressing the clinical challenges in FL warrants deep understanding of the nature of treatment-resistant FL cells seeding relapses, and of the biological basis of early disease progression. Great progress has been made in the last decade in the description and interrogation of the (epi)genomic landscape of FL cells, of their major dependency to the tumor microenvironment (TME), and of the stepwise lymphomagenesis process, from healthy to subclinical disease and to overt FL. A new picture is emerging, in which an ever-evolving tumor-TME duo sparks a complex and multilayered clonal and functional heterogeneity, blurring the discovery of prognostic biomarkers, patient stratification and reliable designs of risk-adapted treatments. Novel technological approaches allowing to decipher both tumor and TME heterogeneity at the single-cell level are beginning to unravel unsuspected cell dynamics and plasticity of FL cells. The upcoming drawing of a comprehensive functional picture of FL within its ecosystem holds great promise to address the unmet medical needs of this complex lymphoma.
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Affiliation(s)
- Pierre Milpied
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Anita K Gandhi
- Translational Medicine, Bristol Myers Squibb, Summit, NJ, United States
| | - Guillaume Cartron
- Department of Hematology, Centre Hospitalier Universitaire Montpellier, UMR-CNRS 5535, Montpellier, France
| | - Laura Pasqualucci
- Pathology and Cell Biology, Institute for Cancer Genetics, Columbia University, New York City, NY, United States
| | - Karin Tarte
- INSERM U1236, Univ Rennes, EFS Bretagne, CHU Rennes, Rennes, France
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France.
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17
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Lamaison C, Tarte K. B cell/stromal cell crosstalk in health, disease, and treatment: Follicular lymphoma as a paradigm. Immunol Rev 2021; 302:273-285. [PMID: 34060097 DOI: 10.1111/imr.12983] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/09/2021] [Accepted: 05/10/2021] [Indexed: 12/16/2022]
Abstract
Stromal cells organize specific anatomic compartments within bone marrow (BM) and secondary lymphoid organs where they finely regulate the behavior of mature normal B cells. In particular, lymphoid stromal cells (LSCs) form a phenotypically heterogeneous compartment including various cell subsets variably supporting B-cell survival, activation, proliferation, and differentiation. In turn, activated B cells trigger in-depth remodeling of LSC networks within lymph nodes (LN) and BM. Follicular lymphoma (FL) is one of the best paradigms of a B-cell neoplasia depending on a specific tumor microenvironment (TME), including cancer-associated fibroblasts (CAFs) emerging from the reprogramming of LN LSCs or poorly characterized local BM precursors. FL-CAFs support directly malignant B-cell growth and orchestrate FL permissive cell niche by contributing, through a bidirectional crosstalk, to the recruitment and polarization of immune TME subsets. Recent studies have highlighted a previously unexpected level of heterogeneity of both FL B cells and FL TME, underlined by FL-CAF plasticity. A better understanding of the signaling pathways, molecular mechanisms, and kinetic of stromal cell remodeling in FL would be useful to delineate new predictive markers and new therapeutic approaches in this still fatal malignancy.
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Affiliation(s)
- Claire Lamaison
- UMR_S 1236, Université Rennes 1, INSERM, Etablissement Français du Sang, Rennes, France
| | - Karin Tarte
- UMR_S 1236, Université Rennes 1, INSERM, Etablissement Français du Sang, Rennes, France.,SITI, Pôle de Biologie, CHU Pontchaillou, Rennes, France
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18
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Lim B, Kydd L, Jaworski J. Engineering a reporter cell line to mimic the high oligomannose presenting surface immunoglobulin of follicular lymphoma B cells. Sci Rep 2021; 11:87. [PMID: 33420165 PMCID: PMC7794505 DOI: 10.1038/s41598-020-79862-2] [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: 07/05/2020] [Accepted: 12/10/2020] [Indexed: 11/28/2022] Open
Abstract
Subtypes of B cell non-Hodgkin’s lymphomas, including follicular lymphomas, have shown a unique high oligomannose presentation on their immunoglobulins that will interact with natural receptors of the innate immunity, reportedly causing stimulation and proliferation. From deep sequencing of the variable heavy and light chain sequences of follicular lymphoma involved tissue sections, we identified the consensus variable sequences possessing glycosylation sites at the complementarity determining region. Using this information, we developed a cell line, referred to here as BZ, which displays the consensus variable segments as part of a surface antibody (IgM) and confirmed its presentation of high oligomannose on the heavy chain both in vitro and in vivo. An mCherry expressing variant provided a reporter cell line displaying the high oligomannose surface biomarker while affording clear fluorescent signals for FACS screening as well as for fluorescent in vivo imaging of ectopic xenograft tumors. In developing this reporter cell line that displays the biomarker glycan of follicular lymphoma, we provide a tool that may be used for future screening and validation of receptive moieties for selectively binding high oligomannose for development of targeted diagnostics or therapeutics to such B cell malignancies that display this unique glycan.
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Affiliation(s)
- Butaek Lim
- Department of Bioengineering, University of Texas at Arlington, 500 UTA Blvd., Arlington, TX, 76019, USA
| | - LeNaiya Kydd
- Department of Bioengineering, University of Texas at Arlington, 500 UTA Blvd., Arlington, TX, 76019, USA
| | - Justyn Jaworski
- Department of Bioengineering, University of Texas at Arlington, 500 UTA Blvd., Arlington, TX, 76019, USA.
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19
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Su H, Wang M, Pang X, Guan F, Li X, Cheng Y. When Glycosylation Meets Blood Cells: A Glance of the Aberrant Glycosylation in Hematological Malignancies. Rev Physiol Biochem Pharmacol 2021; 180:85-117. [PMID: 34031738 DOI: 10.1007/112_2021_60] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Among neoplasia-associated epigenetic alterations, changes in cellular glycosylation have recently received attention as a key component of hematological malignancy progression. Alterations in glycosylation appear to not only directly impact cell growth and survival, but also alter the adhesion of tumor cells and their interactions with the microenvironment, facilitating cancer-induced immunomodulation and eventual metastasis. Changes in glycosylation arise from altered expression of glycosyltransferases, enzymes that catalyze the transfer of saccharide moieties to a wide range of acceptor substrates, such as proteins, lipids, and other saccharides in the endoplasmic reticulum (ER) and Golgi apparatus. Novel glycan structures in hematological malignancies represent new targets for the diagnosis and treatment of blood diseases. This review summarizes studies of the aberrant expression of glycans commonly found in hematological malignancies and their potential mechanisms and defines the specific roles of glycans as drivers or passengers in the development of hematological malignancies.
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Affiliation(s)
- Huining Su
- Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Mimi Wang
- Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Xingchen Pang
- Key Laboratory of Resource Biology and Biotechnology Western China, College of Life Science, Northwest University, Xi'an, China
| | - Feng Guan
- Key Laboratory of Resource Biology and Biotechnology Western China, College of Life Science, Northwest University, Xi'an, China
| | - Xiang Li
- Key Laboratory of Resource Biology and Biotechnology Western China, College of Life Science, Northwest University, Xi'an, China.
| | - Ying Cheng
- Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
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20
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21
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Mechanisms of B Cell Receptor Activation and Responses to B Cell Receptor Inhibitors in B Cell Malignancies. Cancers (Basel) 2020; 12:cancers12061396. [PMID: 32481736 PMCID: PMC7352865 DOI: 10.3390/cancers12061396] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 05/22/2020] [Accepted: 05/25/2020] [Indexed: 12/27/2022] Open
Abstract
The B cell receptor (BCR) pathway has been identified as a potential therapeutic target in a number of common B cell malignancies, including chronic lymphocytic leukemia, diffuse large B cell lymphoma, Burkitt lymphoma, follicular lymphoma, mantle cell lymphoma, marginal zone B cell lymphoma, and Waldenstrom's macroglobulinemia. This finding has resulted in the development of numerous drugs that target this pathway, including various inhibitors of the kinases BTK, PI3K, and SYK. Several of these drugs have been approved in recent years for clinical use, resulting in a profound change in the way these diseases are currently being treated. However, the response rates and durability of responses vary largely across the different disease entities, suggesting a different proportion of patients with an activated BCR pathway and different mechanisms of BCR pathway activation. Indeed, several antigen-dependent and antigen-independent mechanisms have recently been described and shown to result in the activation of distinct downstream signaling pathways. The purpose of this review is to provide an overview of the mechanisms responsible for the activation of the BCR pathway in different B cell malignancies and to correlate these mechanisms with clinical responses to treatment with BCR inhibitors.
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Abstract
Although outcomes for follicular lymphoma (FL) continue to improve, it remains incurable for the majority of patients. Through next generation sequencing (NGS) studies, we now recognize that the genomic landscape of FL is skewed toward highly recurrent mutations in genes that encode epigenetic regulators co-occurring with the pathognomonic t(14;18) translocation. Adopting these technologies to study longitudinal and spatially-derived lymphomas has provided unique insights into the tumoral heterogeneity, clonal evolution of the disease and supports the existence of a tumor-repopulating population, considered the Achilles' heel of this lymphoma. An in-depth understanding of the genomics and its contribution to the disease pathogenesis is identifying new biomarkers and therapeutic targets that can be translated into clinical practice and, in the not too distant future, enable us to start considering precision-based approaches to the management of FL.
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Affiliation(s)
- Lucy Pickard
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Giuseppe Palladino
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Jessica Okosun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
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