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Barisic D, Chin CR, Meydan C, Teater M, Tsialta I, Mlynarczyk C, Chadburn A, Wang X, Sarkozy M, Xia M, Carson SE, Raggiri S, Debek S, Pelzer B, Durmaz C, Deng Q, Lakra P, Rivas M, Steidl C, Scott DW, Weng AP, Mason CE, Green MR, Melnick A. ARID1A orchestrates SWI/SNF-mediated sequential binding of transcription factors with ARID1A loss driving pre-memory B cell fate and lymphomagenesis. Cancer Cell 2024; 42:583-604.e11. [PMID: 38458187 DOI: 10.1016/j.ccell.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 11/20/2023] [Accepted: 02/14/2024] [Indexed: 03/10/2024]
Abstract
ARID1A, a subunit of the canonical BAF nucleosome remodeling complex, is commonly mutated in lymphomas. We show that ARID1A orchestrates B cell fate during the germinal center (GC) response, facilitating cooperative and sequential binding of PU.1 and NF-kB at crucial genes for cytokine and CD40 signaling. The absence of ARID1A tilts GC cell fate toward immature IgM+CD80-PD-L2- memory B cells, known for their potential to re-enter new GCs. When combined with BCL2 oncogene, ARID1A haploinsufficiency hastens the progression of aggressive follicular lymphomas (FLs) in mice. Patients with FL with ARID1A-inactivating mutations preferentially display an immature memory B cell-like state with increased transformation risk to aggressive disease. These observations offer mechanistic understanding into the emergence of both indolent and aggressive ARID1A-mutant lymphomas through the formation of immature memory-like clonal precursors. Lastly, we demonstrate that ARID1A mutation induces synthetic lethality to SMARCA2/4 inhibition, paving the way for potential precision therapy for high-risk patients.
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Affiliation(s)
- Darko Barisic
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Christopher R Chin
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Matt Teater
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Ioanna Tsialta
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Coraline Mlynarczyk
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Amy Chadburn
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Xuehai Wang
- Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Margot Sarkozy
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Min Xia
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Sandra E Carson
- Department of Biochemistry, Cell and Molecular Biology, Weill Cornell Medicine, New York, NY, USA
| | - Santo Raggiri
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Sonia Debek
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA; Department of Experimental Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Benedikt Pelzer
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Ceyda Durmaz
- Graduate Program of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Qing Deng
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Priya Lakra
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Martin Rivas
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA; Sylvester Comprehensive Cancer Center, University of Miami, FL, USA
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, British Columbia, Vancouver, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - David W Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, British Columbia, Vancouver, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Andrew P Weng
- Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Michael R Green
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ari Melnick
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA.
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Bobée V, Viennot M, Rainville V, Veresezan L, Drieux F, Viailly P, Michel V, Sater V, Lanic M, Bohers E, Camus V, Tilly H, Jardin F, Ruminy P. Analysis of immunoglobulin/T-cell receptor repertoires by high-throughput RNA sequencing reveals a continuous dynamic of positive clonal selection in follicular lymphoma. Hemasphere 2024; 8:e50. [PMID: 38435425 PMCID: PMC10896008 DOI: 10.1002/hem3.50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 01/19/2024] [Accepted: 01/26/2024] [Indexed: 03/05/2024] Open
Abstract
Follicular lymphoma (FL) course is highly variable, making its clinical management challenging. In this incurable and recurring pathology, the interval between relapses tends to decrease while aggressiveness increases, sometimes resulting in the transformation to higher-grade lymphoma. These evolutions are particularly difficult to anticipate, resulting from complex clonal evolutions where multiple subclones compete and thrive due to their capacity to proliferate and resist therapies. Here, to apprehend further these processes, we used a high-throughput RNA sequencing approach to address simultaneously the B-cell immunoglobulin repertoires and T-cell immunoglobulin repertoires repertoires of lymphoma cells and their lymphoid microenvironment in a large cohort of 131 FL1/2-3A patients. Our data confirm the existence of a high degree of intra-clonal heterogeneity in this pathology, resulting from ongoing somatic hyper-mutation and class switch recombination. Through the evaluation of the Simpson ecological-diversity index, we show that the contribution of the cancerous cells increases during the course of the disease to the detriment of the reactive compartment, a phenomenon accompanied by a concomitant decrease in the diversity of the tumoral population. Clonal evolution in FL thus contrasts with many tumors, where clonal heterogeneity steadily increases over time and participates in treatment evasion. In this pathology, the selection of lymphoma subclones with proliferative advantages progressively outweighs clonal diversification, ultimately leading in extreme cases to transformation to high-grade lymphoma resulting from the rapid emergence of homogeneous subpopulations.
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Affiliation(s)
- Victor Bobée
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
- Department of Biological HematologyRouen University HospitalRouenFrance
| | - Mathieu Viennot
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
| | - Vinciane Rainville
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
| | - Liana Veresezan
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
- Department of PathologyCentre Henri BecquerelRouenFrance
| | - Fanny Drieux
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
- Department of PathologyCentre Henri BecquerelRouenFrance
| | | | - Victor Michel
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
| | - Vincent Sater
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
| | - Marie‐Delphine Lanic
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
| | - Elodie Bohers
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
| | - Vincent Camus
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
- Department of Clinical HematologyCentre Henri BecquerelRouenFrance
| | - Hervé Tilly
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
- Department of Clinical HematologyCentre Henri BecquerelRouenFrance
| | - Fabrice Jardin
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
- Department of Clinical HematologyCentre Henri BecquerelRouenFrance
| | - Philippe Ruminy
- INSERM U1245, Centre Henri Becquerel, UNIROUENUniversity of NormandieRouenFrance
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3
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Veelken H. Energy overpowers sweet tooth in FL. Blood 2023; 142:2226-2229. [PMID: 38153769 DOI: 10.1182/blood.2023022268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023] Open
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4
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Brauge B, Dessauge E, Creusat F, Tarte K. Modeling the crosstalk between malignant B cells and their microenvironment in B-cell lymphomas: challenges and opportunities. Front Immunol 2023; 14:1288110. [PMID: 38022603 PMCID: PMC10652758 DOI: 10.3389/fimmu.2023.1288110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
B-cell lymphomas are a group of heterogeneous neoplasms resulting from the clonal expansion of mature B cells arrested at various stages of differentiation. Specifically, two lymphoma subtypes arise from germinal centers (GCs), namely follicular lymphoma (FL) and GC B-cell diffuse large B-cell lymphoma (GCB-DLBCL). In addition to recent advances in describing the genetic landscape of FL and GCB-DLBCL, tumor microenvironment (TME) has progressively emerged as a central determinant of early lymphomagenesis, subclonal evolution, and late progression/transformation. The lymphoma-supportive niche integrates a dynamic and coordinated network of immune and stromal cells defining microarchitecture and mechanical constraints and regulating tumor cell migration, survival, proliferation, and immune escape. Several questions are still unsolved regarding the interplay between lymphoma B cells and their TME, including the mechanisms supporting these bidirectional interactions, the impact of the kinetic and spatial heterogeneity of the tumor niche on B-cell heterogeneity, and how individual genetic alterations can trigger both B-cell intrinsic and B-cell extrinsic signals driving the reprogramming of non-malignant cells. Finally, it is not clear whether these interactions might promote resistance to treatment or, conversely, offer valuable therapeutic opportunities. A major challenge in addressing these questions is the lack of relevant models integrating tumor cells with specific genetic hits, non-malignant cells with adequate functional properties and organization, extracellular matrix, and biomechanical forces. We propose here an overview of the 3D in vitro models, xenograft approaches, and genetically-engineered mouse models recently developed to study GC B-cell lymphomas with a specific focus on the pros and cons of each strategy in understanding B-cell lymphomagenesis and evaluating new therapeutic strategies.
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Affiliation(s)
- Baptiste Brauge
- UMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France
| | - Elise Dessauge
- UMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France
| | - Florent Creusat
- UMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France
| | - Karin Tarte
- UMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France
- SITI Laboratory, Centre Hospitalier Universitaire (CHU) Rennes, Etablissement Français du sang, Univ Rennes, Rennes, France
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5
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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: 2.0] [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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6
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van Bergen CAM, Kloet SL, Quinten E, Sepúlveda Yáñez JH, Menafra R, Griffioen M, Jansen PM, Koning MT, Knijnenburg J, Navarrete MA, Kiełbasa SM, Veelken H. Acquisition of a glycosylated B-cell receptor drives follicular lymphoma toward a dark zone phenotype. Blood Adv 2023; 7:5812-5816. [PMID: 37493974 PMCID: PMC10561043 DOI: 10.1182/bloodadvances.2023010725] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/22/2023] [Accepted: 07/24/2023] [Indexed: 07/27/2023] Open
Affiliation(s)
| | - Susan L. Kloet
- Leiden Genome Technology Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Edwin Quinten
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Julieta H. Sepúlveda Yáñez
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
- Facultad de Ciencias de la Salud, Universidad de Magallanes, Punta Arenas, Chile
| | - Roberta Menafra
- Leiden Genome Technology Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke Griffioen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Patty M. Jansen
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marvyn T. Koning
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen Knijnenburg
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Szymon M. Kiełbasa
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
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7
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Gao F, Liu H, Meng X, Liu J, Wang J, Yu J, Liu X, Liu X, Li L, Qiu L, Qian Z, Zhou S, Gong W, Meng B, Ren X, Golchehre Z, Chavoshzadeh Z, He J, Zhang H, Wang X. Integrative genomic and transcriptomic analysis reveals genetic alterations associated with the early progression of follicular lymphoma. Br J Haematol 2023; 202:1151-1164. [PMID: 37455019 DOI: 10.1111/bjh.18974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/25/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
Follicular lymphoma (FL), the most common indolent lymphoma, is a clinically and genetically heterogeneous disease. However, the prognostic value of driver gene mutations and copy number alterations has not been systematically assessed. Here, we analysed the clinical-biological features of 415 FL patients to identify variables associated with disease progression within 24 months of first-line therapy (POD24). Patients with B symptoms, elevated lactate dehydrogenase and β2-microglobulin levels, unfavourable baseline haemoglobin levels, advanced stage, and high-risk FL International Prognostic Index (FLIPI) scores had an increased risk of POD24, with FLIPI being the most important factor in logistic regression. HIST1H1D, identified as a driver mutation, was correlated with POD24. Gains of 6p22.2 (HIST1H1D) and 18q21.33 (BCL2) and loss of 1p36.13 (NBPF1) predicted POD24 independent of FLIPI. Gene expression profiling of FL samples showed that the POD24 cohort was significantly enriched in the inflammatory response (mediated by interferon and tumour necrosis factor), cell cycle regulation (transcription, replication and proliferation) sets and PI3K-AKT-mTOR signalling. This result was further validated with transcriptome-wide information provided by RNA-seq at single-cell resolution. Our study, performed on a large cohort of FL patients, highlights the importance of distinctive genetic alterations and gene expression relevant to disease diagnosis and early progression.
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Affiliation(s)
- Fenghua Gao
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Hengqi Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xiangrui Meng
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Jing Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Jiesong Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
- Department of Lymphoma & Head and Neck Oncology, College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, China
| | - Jingwei Yu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xia Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xianming Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lanfang Li
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lihua Qiu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zhengzi Qian
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Shiyong Zhou
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Wenchen Gong
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Bin Meng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xiubao Ren
- Department of Immunology/Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zahra Golchehre
- Department of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Chavoshzadeh
- Department of Immunology/Allergy, Pediatric Infections Research Center, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jin He
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xianhuo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
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8
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Perrett M, Edmondson C, Okosun J. Biology of follicular lymphoma: insights and windows of clinical opportunity. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:688-694. [PMID: 36485095 PMCID: PMC9820323 DOI: 10.1182/hematology.2022000361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Follicular lymphoma (FL) is a heterogeneous disease, both clinically and biologically. The biological behavior and development of FL is a culmination of complex multistep processes underpinned by genetic and nongenetic determinants. Epigenetic deregulation through recurrent genetic alterations is now a recognized major biological hallmark of FL, alongside the t(14;18) translocation. In parallel, there is a strong interplay between the lymphoma B cells and the immune microenvironment, with the microenvironment serving as a critical enabler by creating a tumor-supportive niche and modulating the immune response to favor survival of the malignant B cells. A further layer of complexity arises from the biological heterogeneity that occurs between patients and within an individual, both over the course of the disease and at different sites of disease involvement. Altogether, taking the first steps to bridge the understanding of these various biological components and how to evaluate these clinically may aid and inform future strategies, including logical therapeutic interventions, risk stratification, therapy selection, and disease monitoring.
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Affiliation(s)
- Megan Perrett
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Carina Edmondson
- 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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9
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Ge J, Lei Y, Wen Q, Zhang Y, Kong X, Wang W, Qian S, Hou H, Wang Z, Wu S, Dong M, Ding M, Wu X, Feng X, Zhu L, Zhang M, Chen Q, Zhang X. The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China. Front Nutr 2022; 9:981338. [PMID: 36276809 PMCID: PMC9579693 DOI: 10.3389/fnut.2022.981338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/24/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The prognostic nutritional index (PNI) is an important prognostic factor for survival outcomes in various hematological malignancies. The current study focused on exploring the predictive value of the PNI in newly diagnosed follicular lymphoma (FL) in China. Materials and methods The clinical indicators and follow-up data of 176 patients who received chemotherapy or immunotherapy combined with chemotherapy with FL in our hospital from January 2016 to March 2022 were retrospectively analyzed. Cox proportional hazard model was used for univariate and multivariate analyses. Kaplan–Meier curves were used to calculate survival rates and draw survival curves. The log-rank test was applied to compare differences between groups. Results The optimal cut-off value of PNI was 44.3. All patients were divided into a high PNI group (>44.3) and a low PNI group (≤44.3). The low PNI group had a low CR rate and a high risk of death, with a tendency toward POD24, and Both OS and PFS were worse than those in the high PNI group. PNI was able to predict OS and PFS in FL patients and was the only independent predictor of OS (P = 0.014 HR 5.024; 95%CI 1.388∼18.178) in multivariate analysis. PNI could re-stratify patients into groups of high FLIPI score, high FLIPI2 score, no POD24, and rituximab combined with chemotherapy. Moreover, integrating PNI into the FLIPI and FLIPI2 models improved the area under the curve (AUC) for more accurate survival prediction and prognosis. Conclusion PNI is a significant prognostic indicator for newly diagnosed FL in China that can early identify patients with poor prognosis and guide clinical treatment decisions.
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10
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Ren W, Wang X, Yang M, Wan H, Li X, Ye X, Meng B, Li W, Yu J, Lei M, Xie F, Jiang W, Kimby E, Huang H, Liu D, Li ZM, Wu K, Zhang H, Pan-Hammarström Q. Distinct clinical and genetic features of hepatitis B virus-associated follicular lymphoma in Chinese patients. Blood Adv 2022; 6:2731-2744. [PMID: 35030632 PMCID: PMC9092402 DOI: 10.1182/bloodadvances.2021006410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/19/2021] [Indexed: 12/15/2022] Open
Abstract
Hepatitis B virus (HBV) infection has been associated with an increased risk for B-cell lymphomas. We previously showed that 20% of diffuse large B-cell lymphoma (DLBCL) patients from China, an endemic area of HBV infection, have chronic HBV infection (surface antigen-positive, HBsAg+) and are characterized by distinct clinical and genetic features. Here, we showed that 24% of follicular lymphoma (FL) Chinese patients are HBsAg+. Compared with the HBsAg- FL patients, HBsAg+ patients are younger, have a higher histological grade at diagnosis, and have a higher incidence of disease progression within 24 months. Moreover, by sequencing the genomes of 109 FL tumors, we observed enhanced mutagenesis and distinct genetic profile in HBsAg+ FLs, with a unique set of preferentially mutated genes (TNFAIP3, FAS, HIST1H1C, KLF2, TP53, PIM1, TMSB4X, DUSP2, TAGAP, LYN, and SETD2) but lack of the hallmark of HBsAg- FLs (ie, IGH/BCL2 translocations and CREBBP mutations). Transcriptomic analyses further showed that HBsAg+ FLs displayed gene-expression signatures resembling the activated B-cell-like subtype of diffuse large B-cell lymphoma, involving IRF4-targeted genes and NF-κB/MYD88 signaling pathways. Finally, we identified an increased infiltration of CD8+ memory T cells, CD4+ Th1 cells, and M1 macrophages and higher T-cell exhaustion gene signature in HBsAg+ FL samples. Taken together, we present new genetic/epigenetic evidence that links chronic HBV infection to B-cell lymphomagenesis, and HBV-associated FL is likely to have a distinct cell-of-origin and represent as a separate subtype of FL. Targetable genetic/epigenetic alterations identified in tumors and their associated tumor microenvironment may provide potential novel therapeutic approaches for this subgroup of patients.
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Affiliation(s)
- Weicheng Ren
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Xianhuo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Mingyu Yang
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen, China
| | - Hui Wan
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Xiaobo Li
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen, China
| | - Xiaofei Ye
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Bing Meng
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Wei Li
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Jingwei Yu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Mengyue Lei
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen, China
| | - Fanfan Xie
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen, China
| | - Wenqi Jiang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Eva Kimby
- Unit of Hematology, Department of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden; and
| | - Huiqiang Huang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dongbing Liu
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen, China
| | - Zhi-Ming Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Kui Wu
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen, China
- Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Qiang Pan-Hammarström
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- BGI-Shenzhen, Shenzhen, China
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11
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Vendramini E, Bomben R, Pozzo F, Bittolo T, Tissino E, Gattei V, Zucchetto A. KRAS and RAS-MAPK Pathway Deregulation in Mature B Cell Lymphoproliferative Disorders. Cancers (Basel) 2022; 14:666. [PMID: 35158933 PMCID: PMC8833570 DOI: 10.3390/cancers14030666] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/24/2022] [Accepted: 01/26/2022] [Indexed: 02/04/2023] Open
Abstract
KRAS mutations account for the most frequent mutations in human cancers, and are generally correlated with disease aggressiveness, poor prognosis, and poor response to therapies. KRAS is required for adult hematopoiesis and plays a key role in B cell development and mature B cell proliferation and survival, proved to be critical for B cell receptor-induced ERK pathway activation. In mature B cell neoplasms, commonly seen in adults, KRAS and RAS-MAPK pathway aberrations occur in a relevant fraction of patients, reaching high recurrence in some specific subtypes like multiple myeloma and hairy cell leukemia. As inhibitors targeting the RAS-MAPK pathway are being developed and improved, it is of outmost importance to precisely identify all subgroups of patients that could potentially benefit from their use. Herein, we review the role of KRAS and RAS-MAPK signaling in malignant hematopoiesis, focusing on mature B cell lymphoproliferative disorders. We discuss KRAS and RAS-MAPK pathway aberrations describing type, incidence, mutual exclusion with other genetic abnormalities, and association with prognosis. We review the current therapeutic strategies applied in mature B cell neoplasms to counteract RAS-MAPK signaling in pre-clinical and clinical studies, including most promising combination therapies. We finally present an overview of genetically engineered mouse models bearing KRAS and RAS-MAPK pathway aberrations in the hematopoietic compartment, which are valuable tools in the understanding of cancer biology and etiology.
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Affiliation(s)
- Elena Vendramini
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy; (R.B.); (F.P.); (T.B.); (E.T.); (V.G.); (A.Z.)
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12
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Dumontet E, Mancini SJC, Tarte K. Bone Marrow Lymphoid Niche Adaptation to Mature B Cell Neoplasms. Front Immunol 2021; 12:784691. [PMID: 34956214 PMCID: PMC8694563 DOI: 10.3389/fimmu.2021.784691] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/23/2021] [Indexed: 01/08/2023] Open
Abstract
B-cell non-Hodgkin lymphoma (B-NHL) evolution and treatment are complicated by a high prevalence of relapses primarily due to the ability of malignant B cells to interact with tumor-supportive lymph node (LN) and bone marrow (BM) microenvironments. In particular, progressive alterations of BM stromal cells sustain the survival, proliferation, and drug resistance of tumor B cells during diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and chronic lymphocytic leukemia (CLL). The current review describes how the crosstalk between BM stromal cells and lymphoma tumor cells triggers the establishment of the tumor supportive niche. DLBCL, FL, and CLL display distinct patterns of BM involvement, but in each case tumor-infiltrating stromal cells, corresponding to cancer-associated fibroblasts, exhibit specific phenotypic and functional features promoting the recruitment, adhesion, and survival of tumor cells. Tumor cell-derived extracellular vesicles have been recently proposed as playing a central role in triggering initial induction of tumor-supportive niches, notably within the BM. Finally, the disruption of the BM stroma reprogramming emerges as a promising therapeutic option in B-cell lymphomas. Targeting the crosstalk between BM stromal cells and malignant B cells, either through the inhibition of stroma-derived B-cell growth factors or through the mobilization of clonal B cells outside their supportive BM niche, should in particular be further evaluated as a way to avoid relapses by abrogating resistance niches.
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Affiliation(s)
- Erwan Dumontet
- Univ Rennes, Institut National de la Santé et de la Recherche Médicale (INSERM), Établissement Français du Sang (EFS) Bretagne, Unité Mixte de Recherche (UMR) U1236, Rennes, France.,CHU Rennes, Pôle de Biologie, Rennes, France
| | - Stéphane J C Mancini
- Univ Rennes, Institut National de la Santé et de la Recherche Médicale (INSERM), Établissement Français du Sang (EFS) Bretagne, Unité Mixte de Recherche (UMR) U1236, Rennes, France
| | - Karin Tarte
- Univ Rennes, Institut National de la Santé et de la Recherche Médicale (INSERM), Établissement Français du Sang (EFS) Bretagne, Unité Mixte de Recherche (UMR) U1236, Rennes, France.,CHU Rennes, Pôle de Biologie, Rennes, France
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13
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Delaloy C, Schuh W, Jäck HM, Bonaud A, Espéli M. Single cell resolution of Plasma Cell fate programming in health and disease. Eur J Immunol 2021; 52:10-23. [PMID: 34694625 DOI: 10.1002/eji.202149216] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/14/2021] [Accepted: 10/20/2021] [Indexed: 11/09/2022]
Abstract
Long considered a homogeneous population dedicated to antibody secretion, plasma cell phenotypic and functional heterogeneity is increasingly recognised. Plasma cells were first segregated based on their maturation level, but the complexity of this subset might well be underestimated by this simple dichotomy. Indeed, in the last decade new functions have been attributed to plasma cells including but not limited to cytokine secretion. However, a proper characterization of plasma cell heterogeneity has remained elusive partly due to technical issues and cellular features that are specific to this cell type. Cell intrinsic and cell extrinsic signals could be at the origin of this heterogeneity. Recent advances in technologies like single cell RNA-seq, ATAC-seq or ChIP-seq on low cell numbers helped to elucidate the fate decision in other cell lineages and similar approaches could be implemented to evaluate the heterogeneous fate of activated B cells in health and disease. Here, we summarized published work shedding some lights on the stimuli and genetic program shaping B cell terminal differentiation at the single cell level in mice and men. We also discuss the fate and heterogeneity of plasma cells during immune responses, vaccination and in the frame of human plasma cell disorders. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Céline Delaloy
- UMR U1236, Université de Rennes 1, INSERM, Etablissement Français du Sang (EFS) de Bretagne, LabEx IGO, 2 Av du Pr Léon Bernard, Rennes, 35043, France.,French Germinal Center Club, French Society for Immunology (SFI), Paris, 75015, France
| | - Wolfgang Schuh
- Division of Molecular Immunology, Department of Internal Medicine III, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuernberg, Erlangen, Germany
| | - Hans-Martin Jäck
- Division of Molecular Immunology, Department of Internal Medicine III, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuernberg, Erlangen, Germany
| | - Amélie Bonaud
- Université de Paris, Institut de Recherche Saint Louis, EMiLy, Inserm U1160, Paris, F-75010, France.,OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Hôpital Saint-Louis, Paris, France
| | - Marion Espéli
- French Germinal Center Club, French Society for Immunology (SFI), Paris, 75015, France.,Université de Paris, Institut de Recherche Saint Louis, EMiLy, Inserm U1160, Paris, F-75010, France.,OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Hôpital Saint-Louis, Paris, France
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