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Yang X, Ji Y, Mei L, Jing W, Yang X, Liu Q. Potential role of the P2X7 receptor in the proliferation of human diffused large B-cell lymphoma. Purinergic Signal 2024; 20:273-284. [PMID: 37222921 PMCID: PMC11189370 DOI: 10.1007/s11302-023-09947-w] [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: 02/26/2023] [Accepted: 05/18/2023] [Indexed: 05/25/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of invasive non-Hodgkin lymphoma. 60-70% of patients are curable with current chemoimmunotherapy, whereas the rest are refractory or relapsed. Understanding of the interaction between DLBCL cells and tumor microenvironment raises the hope of improving overall survival of DLBCL patients. P2X7, a member of purinergic receptors P2X family, is activated by extracellular ATP and subsequently promotes the progression of various malignancies. However, its role in DLBCL has not been elucidated. In this study, the expression level of P2RX7 in DLBCL patients and cell lines was analyzed. MTS assay and EdU incorporation assay were carried out to study the effect of activated/inhibited P2X7 signaling on the proliferation of DLBCL cells. Bulk RNAseq was performed to explore potential mechanism. The results demonstrated high level expression of P2RX7 in DLBCL patients, typically in patients with relapse DLBCL. 2'(3')-O-(4-benzoylbenzoyl) adenosine 5-triphosphate (Bz-ATP), an agonist of P2X7, significantly accelerated the proliferation of DLBCL cells, whereas delayed proliferation was detected when administrated with antagonist A740003. Furthermore, a urea cycle enzyme named CPS1 (carbamoyl phosphate synthase 1), which up-regulated in P2X7-activated DLBCL cells while down-regulated in P2X7-inhibited group, was demonstrated to involve in such process. Our study reveals the role of P2X7 in the proliferation of DLBCL cells and implies that P2X7 may serve as a potential molecular target for the treatment of DLBCL.
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Affiliation(s)
- Xiao Yang
- Scientific Research Center and Precision Medical Institute, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
| | - Yuanyuan Ji
- Scientific Research Center and Precision Medical Institute, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Lin Mei
- Scientific Research Center and Precision Medical Institute, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Wenwen Jing
- Scientific Research Center and Precision Medical Institute, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Xin Yang
- Department of Rheumatology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Qianwei Liu
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 17177, Sweden
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2
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Yenamandra AK, Smith RB, Senaratne TN, Kang SHL, Fink JM, Corboy G, Hodge CA, Lu X, Mathew S, Crocker S, Fang M. Evidence-based review of genomic aberrations in diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS): Report from the cancer genomics consortium lymphoma working group. Cancer Genet 2022; 268-269:1-21. [PMID: 35970109 DOI: 10.1016/j.cancergen.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/26/2022] [Accepted: 07/31/2022] [Indexed: 01/25/2023]
Abstract
Diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS) is the most common type of non-Hodgkin lymphoma (NHL). The 2016 World Health Organization (WHO) classification defined DLBCL, NOS and its subtypes based on clinical findings, morphology, immunophenotype, and genetics. However, even within the WHO subtypes, it is clear that additional clinical and genetic heterogeneity exists. Significant efforts have been focused on utilizing advanced genomic technologies to further subclassify DLBCL, NOS into clinically relevant subtypes. These efforts have led to the implementation of novel algorithms to support optimal risk-oriented therapy and improvement in the overall survival of DLBCL patients. We gathered an international group of experts to review the current literature on DLBCL, NOS, with respect to genomic aberrations and the role they may play in the diagnosis, prognosis and therapeutic decisions. We comprehensively surveyed clinical laboratory directors/professionals about their genetic testing practices for DLBCL, NOS. The survey results indicated that a variety of diagnostic approaches were being utilized and that there was an overwhelming interest in further standardization of routine genetic testing along with the incorporation of new genetic testing modalities to help guide a precision medicine approach. Additionally, we present a comprehensive literature summary on the most clinically relevant genomic aberrations in DLBCL, NOS. Based upon the survey results and literature review, we propose a standardized, tiered testing approach which will help laboratories optimize genomic testing in order to provide the maximum information to guide patient care.
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Affiliation(s)
- Ashwini K Yenamandra
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN 37215, United States.
| | | | - T Niroshi Senaratne
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA, United States
| | - Sung-Hae L Kang
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA, United States
| | - James M Fink
- Department of Pathology and Laboratory Medicine, Hennepin Healthcare, Minneapolis, MN, United States
| | - Gregory Corboy
- Haematology, Pathology Queensland, Herston, Queensland, Australia; Department of Molecular Medicine and Pathology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand; School of Clinical Sciences, Monash University, Clayton, Vic, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, Vic, Australia
| | - Casey A Hodge
- Department of Pathology and Immunology, Barnes Jewish Hospital, St. Louis, MO, United States
| | - Xinyan Lu
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Susan Mathew
- Department of Pathology, Weill Cornell Medicine, New York, NY, United States
| | - Susan Crocker
- Department of Pathology and Molecular Medicine, Kingston Health Sciences Centre, Queen's University, Kingston, ON, Canada
| | - Min Fang
- Fred Hutchinson Cancer Center and University of Washington, Seattle, WA, United States
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3
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Tuveri S, Debackere K, Marcelis L, Dierckxsens N, Demeulemeester J, Dimitriadou E, Dierickx D, Lefesvre P, Deraedt K, Graux C, Michaux L, Cools J, Tousseyn T, Vermeesch JR, Wlodarska I. Primary mediastinal large B-cell lymphoma is characterized by large-scale copy-neutral loss of heterozygosity. Genes Chromosomes Cancer 2022; 61:603-615. [PMID: 35611992 DOI: 10.1002/gcc.23069] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/17/2022] [Accepted: 05/20/2022] [Indexed: 11/07/2022] Open
Abstract
Development of primary mediastinal B-cell lymphoma (PMBL) is driven by cumulative genomic aberrations. We discovered a unique copy-neutral loss of heterozygosity (CN-LOH) landscape of PMBL which distinguishes this tumour from other B-cell malignancies, including the biologically related diffuse large B-cell lymphoma. Using single nucleotide polymorphism array analysis we identified large-scale CN-LOH lesions in 91% (30/33) of diagnostic PMBLs and both investigated PMBL-derived cell lines. Altogether, the cohort showed 157 extra-large (25.3-248.4 Mb) CN-LOH lesions affecting up to 14 chromosomes per case (mean of 4.4) and resulting in a reduction of heterozygosity an average of 9.9% (range 1.3-51%) of the genome. Predominant involvement of terminal chromosomal segments suggests the implication of B-cell specific crossover events in the pathogenesis of PMBL. Notably, CN-LOH stretches non-randomly clustered on 6p (60%), 15 (37.2%) and 17q (40%), and frequently co-occurred with homozygous mutations in the MHC I (6p21), B2M (15q15) and GNA13 (17q23) genes, respectively, as shown by preliminary whole-exome/genome sequencing data. Altogether, our findings implicate CN-LOH as a novel and distinct mutational process contributing to the molecular pathogenesis of PMBL. The aberration acting as 'second hit' in the Knudson hypothesis, ranks as the major mechanism converting to homozygosity the PMBL-related driver genes. Screening of the cohort of 199 B cell leukamia/lymphoma whole-genomes revealed significant differences in the CN-LOH landscape of PMBL and other B-cell malignancies, including the biologically related diffuse large B-cell lymphoma.
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Affiliation(s)
| | - Koen Debackere
- Laboratory for Experimental Hematology, KU Leuven, Leuven, Belgium
- Center for Cancer Biology, VIB, Leuven, Belgium
| | - Lukas Marcelis
- Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | | | - Jonas Demeulemeester
- Center for Human Genetics, KU Leuven, Leuven, Belgium
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | | | - Daan Dierickx
- Department of Hematology, University Hospitals Leuven, Leuven, Belgium
| | - Pierre Lefesvre
- Department of Pathology, Free University Hospital, Brussels, Belgium
| | - Karen Deraedt
- Anatomo-Pathology, Hospital East Limburg, Genk, Belgium
| | - Carlos Graux
- Department of Hematology, Mont-Godinne University Hospital, Yvoir, Belgium
| | | | - Jan Cools
- Center for Human Genetics, KU Leuven, Leuven, Belgium
- Center for Cancer Biology, VIB, Leuven, Belgium
| | - Thomas Tousseyn
- Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
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4
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Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses. Cell 2022; 185:266-282.e15. [PMID: 35026153 PMCID: PMC8809251 DOI: 10.1016/j.cell.2021.12.011] [Citation(s) in RCA: 124] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/17/2021] [Accepted: 12/10/2021] [Indexed: 01/09/2023]
Abstract
HIV-1-infected cells that persist despite antiretroviral therapy (ART) are frequently considered "transcriptionally silent," but active viral gene expression may occur in some cells, challenging the concept of viral latency. Applying an assay for profiling the transcriptional activity and the chromosomal locations of individual proviruses, we describe a global genomic and epigenetic map of transcriptionally active and silent proviral species and evaluate their longitudinal evolution in persons receiving suppressive ART. Using genome-wide epigenetic reference data, we show that proviral transcriptional activity is associated with activating epigenetic chromatin features in linear proximity of integration sites and in their inter- and intrachromosomal contact regions. Transcriptionally active proviruses were actively selected against during prolonged ART; however, this pattern was violated by large clones of virally infected cells that may outcompete negative selection forces through elevated intrinsic proliferative activity. Our results suggest that transcriptionally active proviruses are dynamically evolving under selection pressure by host factors.
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Genomic abnormalities of TP53 define distinct risk groups of paediatric B-cell non-Hodgkin lymphoma. Leukemia 2022; 36:781-789. [PMID: 34675373 PMCID: PMC8885412 DOI: 10.1038/s41375-021-01444-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 09/26/2021] [Accepted: 09/29/2021] [Indexed: 11/09/2022]
Abstract
Children with B-cell non-Hodgkin lymphoma (B-NHL) have an excellent chance of survival, however, current clinical risk stratification places as many as half of patients in a high-risk group receiving very intensive chemo-immunotherapy. TP53 alterations are associated with adverse outcome in many malignancies; however, whilst common in paediatric B-NHL, their utility as a risk classifier is unknown. We evaluated the clinical significance of TP53 abnormalities (mutations, deletion and/or copy number neutral loss of heterozygosity) in a large UK paediatric B-NHL cohort and determined their impact on survival. TP53 abnormalities were present in 54.7% of cases and were independently associated with a significantly inferior survival compared to those without a TP53 abnormality (PFS 70.0% vs 100%, p < 0.001, OS 78.0% vs 100%, p = 0.002). Moreover, amongst patients clinically defined as high-risk (stage III with high LDH or stage IV), those without a TP53 abnormality have superior survival compared to those with TP53 abnormalities (PFS 100% vs 55.6%, p = 0.005, OS 100% vs 66.7%, p = 0.019). Biallelic TP53 abnormalities were either maintained from the presentation or acquired at progression in all paired diagnosis/progression Burkitt lymphoma cases. TP53 abnormalities thus define clinical risk groups within paediatric B-NHL and offer a novel molecular risk stratifier, allowing more personalised treatment protocols.
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6
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Mosquera Orgueira A, Ferreiro Ferro R, Díaz Arias JÁ, Aliste Santos C, Antelo Rodríguez B, Bao Pérez L, Alonso Vence N, Bendaña López Á, Abuin Blanco A, Melero Valentín P, Peleteiro Raindo A, Cid López M, Pérez Encinas MM, González Pérez MS, Fraga Rodríguez MF, Bello López JL. Detection of new drivers of frequent B-cell lymphoid neoplasms using an integrated analysis of whole genomes. PLoS One 2021; 16:e0248886. [PMID: 33945543 PMCID: PMC8096002 DOI: 10.1371/journal.pone.0248886] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/19/2021] [Indexed: 12/21/2022] Open
Abstract
B-cell lymphoproliferative disorders exhibit a diverse spectrum of diagnostic entities with heterogeneous behaviour. Multiple efforts have focused on the determination of the genomic drivers of B-cell lymphoma subtypes. In the meantime, the aggregation of diverse tumors in pan-cancer genomic studies has become a useful tool to detect new driver genes, while enabling the comparison of mutational patterns across tumors. Here we present an integrated analysis of 354 B-cell lymphoid disorders. 112 recurrently mutated genes were discovered, of which KMT2D, CREBBP, IGLL5 and BCL2 were the most frequent, and 31 genes were putative new drivers. Mutations in CREBBP, TNFRSF14 and KMT2D predominated in follicular lymphoma, whereas those in BTG2, HTA-A and PIM1 were more frequent in diffuse large B-cell lymphoma. Additionally, we discovered 31 significantly mutated protein networks, reinforcing the role of genes such as CREBBP, EEF1A1, STAT6, GNA13 and TP53, but also pointing towards a myriad of infrequent players in lymphomagenesis. Finally, we report aberrant expression of oncogenes and tumor suppressors associated with novel noncoding mutations (DTX1 and S1PR2), and new recurrent copy number aberrations affecting immune check-point regulators (CD83, PVR) and B-cell specific genes (TNFRSF13C). Our analysis expands the number of mutational drivers of B-cell lymphoid neoplasms, and identifies several differential somatic events between disease subtypes.
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Affiliation(s)
- Adrián Mosquera Orgueira
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- * E-mail:
| | - Roi Ferreiro Ferro
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - José Ángel Díaz Arias
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Carlos Aliste Santos
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Pathology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Beatriz Antelo Rodríguez
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Pathology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Laura Bao Pérez
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Natalia Alonso Vence
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Ággeles Bendaña López
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
| | - Aitor Abuin Blanco
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Paula Melero Valentín
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - And´res Peleteiro Raindo
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
| | - Miguel Cid López
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
| | - Manuel Mateo Pérez Encinas
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
| | - Marta Sonia González Pérez
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - Máximo Francisco Fraga Rodríguez
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- Department of Pathology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
| | - José Luis Bello López
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia, Spain
- Department of Hematology, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), SERGAS, Santiago de Compostela, Galicia, Spain
- University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain
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7
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Mutational mechanisms shaping the coding and noncoding genome of germinal center derived B-cell lymphomas. Leukemia 2021; 35:2002-2016. [PMID: 33953289 PMCID: PMC8257491 DOI: 10.1038/s41375-021-01251-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/08/2021] [Accepted: 03/29/2021] [Indexed: 02/03/2023]
Abstract
B cells have the unique property to somatically alter their immunoglobulin (IG) genes by V(D)J recombination, somatic hypermutation (SHM) and class-switch recombination (CSR). Aberrant targeting of these mechanisms is implicated in lymphomagenesis, but the mutational processes are poorly understood. By performing whole genome and transcriptome sequencing of 181 germinal center derived B-cell lymphomas (gcBCL) we identified distinct mutational signatures linked to SHM and CSR. We show that not only SHM, but presumably also CSR causes off-target mutations in non-IG genes. Kataegis clusters with high mutational density mainly affected early replicating regions and were enriched for SHM- and CSR-mediated off-target mutations. Moreover, they often co-occurred in loci physically interacting in the nucleus, suggesting that mutation hotspots promote increased mutation targeting of spatially co-localized loci (termed hypermutation by proxy). Only around 1% of somatic small variants were in protein coding sequences, but in about half of the driver genes, a contribution of B-cell specific mutational processes to their mutations was found. The B-cell-specific mutational processes contribute to both lymphoma initiation and intratumoral heterogeneity. Overall, we demonstrate that mutational processes involved in the development of gcBCL are more complex than previously appreciated, and that B cell-specific mutational processes contribute via diverse mechanisms to lymphomagenesis.
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Vivarelli S, Falzone L, Ligresti G, Candido S, Garozzo A, Magro GG, Bonavida B, Libra M. Role of the Transcription Factor Yin Yang 1 and Its Selectively Identified Target Survivin in High-Grade B-Cells Non-Hodgkin Lymphomas: Potential Diagnostic and Therapeutic Targets. Int J Mol Sci 2020; 21:ijms21176446. [PMID: 32899428 PMCID: PMC7504013 DOI: 10.3390/ijms21176446] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 08/21/2020] [Accepted: 09/02/2020] [Indexed: 12/19/2022] Open
Abstract
B-cell non-Hodgkin lymphomas (B-NHLs) are often characterized by the development of resistance to chemotherapeutic drugs and/or relapse. During drug-induced apoptosis, Yin Yang 1 (YY1) transcription factor might modulate the expression of apoptotic regulators genes. The present study was aimed to: (1) examine the potential oncogenic role of YY1 in reversing drug resistance in B-NHLs; and (2) identify YY1 transcriptional target(s) that regulate the apoptotic pathway in B-NHLs. Predictive analyses coupled with database-deposited data suggested that YY1 binds the promoter of the BIRC5/survivin anti-apoptotic gene. Gene Expression Omnibus (GEO) analyses of several B-NHL repositories revealed a conserved positive correlation between YY1 and survivin, both highly expressed, especially in aggressive B-NHLs. Further validation experiments performed in Raji Burkitt’s lymphomas cells, demonstrated that YY1 silencing was associated with survivin downregulation and sensitized the cells to apoptosis. Overall, our results revealed that: (1) YY1 and survivin are positively correlated and overexpressed in B-NHLs, especially in BLs; (2) YY1 strongly binds to the survivin promoter, hence survivin may be suggested as YY1 transcriptional target; (3) YY1 silencing sensitizes Raji cells to drug-induced apoptosis via downregulation of survivin; (4) both YY1 and survivin are potential diagnostic markers and therapeutic targets for the treatment of resistant/relapsed B-NHLs.
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Affiliation(s)
- Silvia Vivarelli
- Laboratory of Translational Oncology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (S.V.); (G.L.); (S.C.)
| | - Luca Falzone
- Epidemiology Unit, IRCCS Istituto Nazionale Tumori ‘Fondazione G. Pascale’, 80131 Naples, Italy;
| | - Giovanni Ligresti
- Laboratory of Translational Oncology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (S.V.); (G.L.); (S.C.)
| | - Saverio Candido
- Laboratory of Translational Oncology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (S.V.); (G.L.); (S.C.)
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy; (A.G.); (G.G.M.)
| | - Adriana Garozzo
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy; (A.G.); (G.G.M.)
- Laboratory of Virology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Gaetano Giuseppe Magro
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy; (A.G.); (G.G.M.)
- Department of Medical and Surgical Sciences and Advanced Technology “G.F. Ingrassia”, University of Catania, 95123 Catania, Sicily, Italy
| | - Benjamin Bonavida
- Department of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA;
| | - Massimo Libra
- Laboratory of Translational Oncology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (S.V.); (G.L.); (S.C.)
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy; (A.G.); (G.G.M.)
- Correspondence: ; Tel.: +39-095-478-1271
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9
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Dong H, Wang Q, Zhang G, Li N, Yang M, An Y, Xie L, Li H, Zhang L, Zhu W, Zhao S, Zhang H, Guo X. OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma. Cancer Med 2020; 9:1790-1797. [PMID: 31918459 PMCID: PMC7050097 DOI: 10.1002/cam4.2829] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/11/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022] Open
Abstract
Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin lymphoma (NHL) and is a clinical, pathological, and molecular heterogeneous disease with highly variable clinical outcomes. Currently, valid prognostic biomarkers in DLBCL are still lacking. To optimize targeted therapy and improve the prognosis of DLBCL, the performance of proposed biomarkers needs to be evaluated in multiple cohorts, and new biomarkers need to be investigated in large datasets. Here, we developed a consensus Online Survival analysis web server for Diffuse Large B‐Cell Lymphoma, abbreviated OSdlbcl, to assess the prognostic value of individual gene. To build OSdlbcl, we collected 1100 samples with gene expression profiles and clinical follow‐up information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In addition, DNA mutation data were also collected from the TCGA database. Overall survival (OS), progression‐free survival (PFS), disease‐specific survival (DSS), disease‐free interval (DFI), and progression‐free interval (PFI) are important endpoints to reflect the survival rate in OSdlbcl. Moreover, clinical features were integrated into OSdlbcl to allow data stratifications according to the user's special needs. By inputting an official gene symbol and selecting desired criteria, the survival analysis results can be graphically presented by the Kaplan‐Meier (KM) plot with hazard ratio (HR) and log‐rank p value. As a proof‐of‐concept demonstration, the prognostic value of 23 previously reported survival associated biomarkers, such as transcription factors FOXP1 and BCL2, was evaluated in OSdlbcl and found to be significantly associated with survival as reported (HR = 1.73, P < .01; HR = 1.47, P = .03, respectively). In conclusion, OSdlbcl is a new web server that integrates public gene expression, gene mutation data, and clinical follow‐up information to provide prognosis evaluations for biomarker development for DLBCL. The OSdlbcl web server is available at https://bioinfo.henu.edu.cn/DLBCL/DLBCLList.jsp.
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Affiliation(s)
- Huan Dong
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Qiang Wang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Guosen Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Ning Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Mengsi Yang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Yang An
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Longxiang Xie
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Huimin Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Lu Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Wan Zhu
- Department of Anesthesia, Stanford University School of Medicine, Stanford, CA, USA
| | - Shuchun Zhao
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Haiyu Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiangqian Guo
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
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10
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Wang Y, Wang X, Xiong Y, Li CD, Xu Q, Shen L, Chandra Kaushik A, Wei DQ. An Integrated Pan-Cancer Analysis and Structure-Based Virtual Screening of GPR15. Int J Mol Sci 2019; 20:ijms20246226. [PMID: 31835584 PMCID: PMC6940937 DOI: 10.3390/ijms20246226] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Revised: 11/19/2019] [Accepted: 12/04/2019] [Indexed: 12/19/2022] Open
Abstract
G protein-coupled receptor 15 (GPR15, also known as BOB) is an extensively studied orphan G protein-coupled receptors (GPCRs) involving human immunodeficiency virus (HIV) infection, colonic inflammation, and smoking-related diseases. Recently, GPR15 was deorphanized and its corresponding natural ligand demonstrated an ability to inhibit cancer cell growth. However, no study reported the potential role of GPR15 in a pan-cancer manner. Using large-scale publicly available data from the Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases, we found that GPR15 expression is significantly lower in colon adenocarcinoma (COAD) and rectal adenocarcinoma (READ) than in normal tissues. Among 33 cancer types, GPR15 expression was significantly positively correlated with the prognoses of COAD, neck squamous carcinoma (HNSC), and lung adenocarcinoma (LUAD) and significantly negatively correlated with stomach adenocarcinoma (STAD). This study also revealed that commonly upregulated gene sets in the high GPR15 expression group (stratified via median) of COAD, HNSC, LUAD, and STAD are enriched in immune systems, indicating that GPR15 might be considered as a potential target for cancer immunotherapy. Furthermore, we modelled the 3D structure of GPR15 and conducted structure-based virtual screening. The top eight hit compounds were screened and then subjected to molecular dynamics (MD) simulation for stability analysis. Our study provides novel insights into the role of GPR15 in a pan-cancer manner and discovered a potential hit compound for GPR15 antagonists.
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Affiliation(s)
- Yanjing Wang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.W.); (X.W.); (Y.X.); (C.-D.L.); (Q.X.)
| | - Xiangeng Wang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.W.); (X.W.); (Y.X.); (C.-D.L.); (Q.X.)
| | - Yi Xiong
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.W.); (X.W.); (Y.X.); (C.-D.L.); (Q.X.)
| | - Cheng-Dong Li
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.W.); (X.W.); (Y.X.); (C.-D.L.); (Q.X.)
| | - Qin Xu
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.W.); (X.W.); (Y.X.); (C.-D.L.); (Q.X.)
| | - Lu Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China;
| | - Aman Chandra Kaushik
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China
- Correspondence: (A.C.K.); (D.-Q.W.)
| | - Dong-Qing Wei
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.W.); (X.W.); (Y.X.); (C.-D.L.); (Q.X.)
- Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nanshan District, Shenzhen 518055, China
- Correspondence: (A.C.K.); (D.-Q.W.)
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11
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Zhang J, Lin X, Li Y, Zhang R. Genomic Alterations In Primary Cardiac Diffuse Large B Cell Lymphoma: A Case Report And Literature Review. Onco Targets Ther 2019; 12:9085-9092. [PMID: 31806993 PMCID: PMC6839572 DOI: 10.2147/ott.s227122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 10/19/2019] [Indexed: 11/24/2022] Open
Abstract
Primary cardiac diffuse large B cell lymphoma (PC-DLBCL) is a rare kind of hematological malignancy, and its clinical and pathologic characteristics, especially in Eastern countries, remain unclear. Moreover, genomic alterations in PC-DLBCL have not been studied previously. We describe a case of a 57-year-old man who presented with exertional dyspnoea due to a heart mass in April 2018 and was diagnosed with PC-DLBCL characterized by immunohistochemical markers of the activated B cell (ABC) subtype and double expression of c-MYC and Bcl-2. Mutations in a total of 11 genes—TBL1XR1, CD79B, IGLL5, ZMYM3, MYD88, TMSB4X, PIM1, BTK, NRXN3, CUX1, and CSMD1—were detected via next-generation sequencing (NGS), while 19 copy number variations (CNVs) such as 1q+, 3p+, 3q+(*2), 5p+, 6p−, 6q−, 7q+, +11, 12q−, 15q−, 17q+, 17p−, +18, 19q+, 19p−, 19q−, X q+, and −Y and 4 copy-neutral loss of heterozygosity (CN-LOH) lesions located at 1q21.1q44, 3p26.3q11.2, 3q13.11q29 and 6p22.2p21.32 were identified by single nucleotide polymorphism (SNP) array karyotyping. Some key gene alterations in lymphoma, such as PRDM1 deletion and Bcl-2 amplification, were identified using SNP array analysis. The patient received 6 courses of chemotherapy (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone, R-CHOP regimen) after surgery and is currently in remission. In summary, the present case was diagnosed as PC-DLBCL, ABC subtype by the Hans algorithm and double expression lymphoma, with co-occurrence of the MYD88L265P and CD79B mutations (MCD) subtype by genetic alteration analysis. This study presents a unique PC-DLBCL case in which complex genomic alterations were revealed by NGS and SNP array analysis, which has never been reported in the literature, and these findings could provide new insight into the genomic characterization of PC-DLBCL.
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Affiliation(s)
- Jinjing Zhang
- Department of Hematology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, People's Republic of China
| | - Xuyong Lin
- Department of Pathology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, People's Republic of China
| | - Yan Li
- Department of Hematology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, People's Republic of China
| | - Rui Zhang
- Department of Hematology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, People's Republic of China
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12
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Ribeiro ML, Reyes-Garau D, Armengol M, Fernández-Serrano M, Roué G. Recent Advances in the Targeting of Epigenetic Regulators in B-Cell Non-Hodgkin Lymphoma. Front Genet 2019; 10:986. [PMID: 31681423 PMCID: PMC6807552 DOI: 10.3389/fgene.2019.00986] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 09/17/2019] [Indexed: 12/13/2022] Open
Abstract
In the last 10 years, major advances have been made in the diagnosis and development of selective therapies for several blood cancers, including B-cell non-Hodgkin lymphoma (B-NHL), a heterogeneous group of malignancies arising from the mature B lymphocyte compartment. However, most of these entities remain incurable and current treatments are associated with variable efficacy, several adverse events, and frequent relapses. Thus, new diagnostic paradigms and novel therapeutic options are required to improve the prognosis of patients with B-NHL. With the recent deciphering of the mutational landscapes of B-cell disorders by high-throughput sequencing, it came out that different epigenetic deregulations might drive and/or promote B lymphomagenesis. Consistently, over the last decade, numerous epigenetic drugs (or epidrugs) have emerged in the clinical management of B-NHL patients. In this review, we will present an overview of the most relevant epidrugs tested and/or used so far for the treatment of different subtypes of B-NHL, from first-generation epigenetic therapies like histone acetyl transferases (HDACs) or DNA-methyl transferases (DNMTs) inhibitors to new agents showing selectivity for proteins that are mutated, translocated, and/or overexpressed in these diseases, including EZH2, BET, and PRMT. We will dissect the mechanisms of action of these epigenetic inhibitors, as well as the molecular processes underlying their lack of efficacy in refractory patients. This review will also provide a summary of the latest strategies being employed in preclinical and clinical settings, and will point out the most promising lines of investigation in the field.
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Affiliation(s)
- Marcelo L. Ribeiro
- Laboratory of Experimental Hematology, Department of Hematology, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain
- Laboratory of Immunopharmacology and Molecular Biology, Sao Francisco University Medical School, Braganca Paulista, São Paulo, Brazil
| | - Diana Reyes-Garau
- Laboratory of Experimental Hematology, Department of Hematology, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain
| | - Marc Armengol
- Laboratory of Experimental Hematology, Department of Hematology, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain
| | - Miranda Fernández-Serrano
- Laboratory of Experimental Hematology, Department of Hematology, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain
| | - Gaël Roué
- Laboratory of Experimental Hematology, Department of Hematology, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain
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13
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Liu R, Chen Z, Wang S, Zhao G, Gu Y, Han Q, Chen B. Screening of key genes associated with R‑CHOP immunochemotherapy and construction of a prognostic risk model in diffuse large B‑cell lymphoma. Mol Med Rep 2019; 20:3679-3690. [PMID: 31485671 PMCID: PMC6755150 DOI: 10.3892/mmr.2019.10627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 07/25/2019] [Indexed: 11/30/2022] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a common subtype of non-Hodgkin lymphoma, which is curable in the majority of patients treated with rituximab plus cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) immunochemotherapy. However, the therapeutic mechanism of R-CHOP has not been elucidated. The GSE32918 and GSE57611 datasets were retrieved from The Gene Expression Omnibus database. The differentially expressed genes (DEGs) associated with R-CHOP therapy were identified using limma. Combined with prognostic information in GSE32918, DEGs found to be significantly associated with prognosis were selected using univariate Cox regression analysis and a risk prediction model was constructed. Based on this model, the samples in the training set (GSE32918) were divided into high and low risk score groups according to the median risk score. A total of 801 DEGs were identified between the R-CHOP treated DLBCL and primary DLBCL samples, from this 116 prognosis-associated genes were selected. Using Cox proportional hazards model, an optimal combination of 12 genes [including calcium/calmodulin dependent protein kinase I (CAMK1), hippocalcin like 4 (HPCAL4) and ephrin A5 (EFNA5)] was selected, and the sample risk score prediction model was constructed and validated. The DEGs between high risk score and low risk score groups were significantly enriched in functions associated with ‘response to DNA damage stimulus’, and pathways including ‘cytokine-cytokine receptor interaction’ and ‘cell cycle’. The optimal combination of the 12 genes, including CAMK1, HPCAL4 and EFNA5, was found to be useful in predicting the prognosis of patients with DLBCL after R-CHOP treatment. Therefore, these genes may be affected by R-CHOP in DLBCL.
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Affiliation(s)
- Ran Liu
- Department of Hematology and Oncology, Zhongda Hospital Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Zhi Chen
- Department of Cardiology, Jiangsu Province Hospital, Nanjing, Jiangsu 210009, P.R. China
| | - Shujun Wang
- Department of Blood Transfusion, Nanjing General Hospital of PLA, Nanjing, Jiangsu 210009, P.R. China
| | - Gang Zhao
- Department of Hematology and Oncology, Zhongda Hospital Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Yan Gu
- Department of Hematology and Oncology, Zhongda Hospital Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Qi Han
- Department of Hematology and Oncology, Zhongda Hospital Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Baoan Chen
- Department of Hematology and Oncology, Zhongda Hospital Southeast University, Nanjing, Jiangsu 210009, P.R. China
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14
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Li C, Huang L, Lu H, Wang W, Chen G, Gu Y, Zhou Q, Peng Z, Feng Z. Expression and clinical significance of ubiquitin‑specific‑processing protease 34 in diffuse large B‑cell lymphoma. Mol Med Rep 2018; 18:4543-4554. [PMID: 30221700 DOI: 10.3892/mmr.2018.9447] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Accepted: 10/13/2017] [Indexed: 11/06/2022] Open
Affiliation(s)
- Chunyao Li
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Lanshan Huang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Huiping Lu
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Wei Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Gang Chen
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Yongyao Gu
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Qianping Zhou
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Zhigang Peng
- Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Zhenbo Feng
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
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15
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Recurring Amplification at 11q22.1-q22.2 Locus Plays an Important Role in Lymph Node Metastasis and Radioresistance in OSCC. Sci Rep 2017; 7:16051. [PMID: 29167558 PMCID: PMC5700126 DOI: 10.1038/s41598-017-16247-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 10/24/2017] [Indexed: 12/21/2022] Open
Abstract
A key feature in the pathogenesis of OSCC is genetic instability, which results in altered expression of genes located in amplified/deleted chromosomal regions. In a previous study we have shown that the amplification of the 11q22.1-q22.2 region, encoding cIAP1 and cIAP2, is associated with lymph node metastasis and poor clinical outcome in OSCC. Here, we validate the aCGH results by nuc ish and detect a weak amplification at the 11q22.1-q22.2 locus in 37% of the 182 samples tested. We find positive correlation of 11q22.1-q22.2 amplification with lymph node metastasis, reduced survival, and increased cancer recurrence, and we observe that patients with 11q22.1-q22.2 amplification fail to respond to radiotherapy. We confirm the concurrent overexpression of cIAP1 and cIAP2 and observe differential subcellular localization of the two proteins in OSCC. To ascertain the roles of cIAP1/cIAP2 in lymph node metastasis and radioresistance, we use an in vitro pre-clinical model and confirm the role of cIAP1 in invasion and the role of cIAP2 in invasion and migration. Studies of other tumor types in which cIAP1 is overexpressed suggest that multi-regimen treatments including SMAC mimetics may be effective. Thus, the evaluation of 11q22.1-q22.2 amplifications in OSCC patients may help choose the most effective treatment.
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16
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Igarashi K, Kurosaki T, Roychoudhuri R. BACH transcription factors in innate and adaptive immunity. Nat Rev Immunol 2017; 17:437-450. [PMID: 28461702 DOI: 10.1038/nri.2017.26] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BTB and CNC homology (BACH) proteins are transcriptional repressors of the basic region leucine zipper (bZIP) transcription factor family. Recent studies indicate widespread roles of BACH proteins in controlling the development and function of the innate and adaptive immune systems, including the differentiation of effector and memory cells of the B and T cell lineages, CD4+ regulatory T cells and macrophages. Here, we emphasize similarities at a molecular level in the cell-type-specific activities of BACH factors, proposing that competitive interactions of BACH proteins with transcriptional activators of the bZIP family form a common mechanistic theme underlying their diverse actions. The findings contribute to a general understanding of how transcriptional repressors shape lineage commitment and cell-type-specific functions through repression of alternative lineage programmes.
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Affiliation(s)
- Kazuhiko Igarashi
- Department of Biochemistry, Center for Regulatory Epigenome and Diseases, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Tomohiro Kurosaki
- Laboratory for Lymphocyte Differentiation, WPI Immunology Frontier Research Center, Osaka University, Suita 565-0871, Japan
- Laboratory for Lymphocyte Differentiation, RIKEN Center for Integrative Medical Sciences (IMS), Tsurumi-ku, Yokohama 230-0045, Japan
| | - Rahul Roychoudhuri
- Laboratory of Lymphocyte Signalling and Development, The Babraham Institute, Cambridge CB22 3AT, UK
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17
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Noujima-Harada M, Takata K, Miyata-Takata T, Sakurai H, Igarashi K, Ito E, Nagakita K, Taniguchi K, Ohnishi N, Omote S, Tabata T, Sato Y, Yoshino T. Frequent downregulation of BTB and CNC homology 2 expression in Epstein-Barr virus-positive diffuse large B-cell lymphoma. Cancer Sci 2017; 108:1071-1079. [PMID: 28256087 PMCID: PMC5448608 DOI: 10.1111/cas.13213] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 02/17/2017] [Accepted: 02/20/2017] [Indexed: 12/25/2022] Open
Abstract
Diffuse large B‐cell lymphoma (DLBCL) is the most common B‐cell lymphoma subtype, and the Epstein–Barr virus (EBV)‐positive subtype of DLBCL is known to show a more aggressive clinical behavior than the EBV‐negative one. BTB and CNC homology 2 (BACH2) has been highlighted as a tumor suppressor in hematopoietic malignancies; however, the role of BACH2 in EBV‐positive DLBCL is unclear. In the present study, BACH2 expression and its significance were studied in 23 EBV‐positive and 43 EBV‐negative patient samples. Immunohistochemistry revealed BACH2 downregulation in EBV‐positive cases (P < 0.0001), although biallelic deletion of BACH2 was not detected by FISH. Next, we analyzed the contribution of BACH2 negativity to aggressiveness in EBV‐positive B‐cell lymphomas using FL‐18 (EBV‐negative) and FL‐18‐EB cells (FL‐18 sister cell line, EBV‐positive). In BACH2‐transfected FL‐18‐EB cells, downregulation of phosphorylated transforming growth factor‐β‐activated kinase 1 (pTAK1) and suppression in p65 nuclear fractions were observed by Western blot analysis contrary to non‐transfected FL‐18‐EB cells. In patient samples, pTAK1 expression and significant nuclear p65, p50, and p52 localization were detected immunohistochemically in BACH2‐negative DLBCL (P < 0.0001, P = 0.006, and P = 0.001, respectively), suggesting that BACH2 downregulation contributes to constitutive activation of the nuclear factor‐κB pathway through TAK1 phosphorylation in BACH2‐negative DLBCL (most EBV‐positive cases). Although further molecular and pathological studies are warranted to clarify the detailed mechanisms, downregulation of BACH2 may contribute to constitutive activation of the nuclear factor‐κB pathway through TAK1 activation.
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Affiliation(s)
- Mai Noujima-Harada
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Katsuyoshi Takata
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tomoko Miyata-Takata
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hiroaki Sakurai
- Department of Cancer Cell Biology, Graduate School of Medicine and Pharmaceutical Sciences, Toyama University, Toyama, Japan
| | - Kazuhiko Igarashi
- Department of Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Etsuro Ito
- Department of Pediatrics, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Keina Nagakita
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Kohei Taniguchi
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Nobuhiko Ohnishi
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Shizuma Omote
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tetsuya Tabata
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yasuharu Sato
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tadashi Yoshino
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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18
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Joosten M, Ginzel S, Blex C, Schmidt D, Gombert M, Chen C, Linka RM, Gräbner O, Hain A, Hirsch B, Sommerfeld A, Seegebarth A, Gruber U, Maneck C, Zhang L, Stenin K, Dieks H, Sefkow M, Münk C, Baldus CD, Thiele R, Borkhardt A, Hummel M, Köster H, Fischer U, Dreger M, Seitz V. A novel approach to detect resistance mechanisms reveals FGR as a factor mediating HDAC inhibitor SAHA resistance in B-cell lymphoma. Mol Oncol 2016; 10:1232-44. [PMID: 27324824 DOI: 10.1016/j.molonc.2016.06.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 06/02/2016] [Accepted: 06/03/2016] [Indexed: 01/15/2023] Open
Abstract
Histone deacetylase (HDAC) inhibitors such as suberoylanilide hydroxamic acid (SAHA) are not commonly used in clinical practice for treatment of B-cell lymphomas, although a subset of patients with refractory or relapsed B-cell lymphoma achieved partial or complete remissions. Therefore, the purpose of this study was to identify molecular features that predict the response of B-cell lymphomas to SAHA treatment. We designed an integrative approach combining drug efficacy testing with exome and captured target analysis (DETECT). In this study, we tested SAHA sensitivity in 26 B-cell lymphoma cell lines and determined SAHA-interacting proteins in SAHA resistant and sensitive cell lines employing a SAHA capture compound (CC) and mass spectrometry (CCMS). In addition, we performed exome mutation analysis. Candidate validation was done by expression analysis and knock-out experiments. An integrated network analysis revealed that the Src tyrosine kinase Gardner-Rasheed feline sarcoma viral (v-fgr) oncogene homolog (FGR) is associated with SAHA resistance. FGR was specifically captured by the SAHA-CC in resistant cells. In line with this observation, we found that FGR expression was significantly higher in SAHA resistant cell lines. As functional proof, CRISPR/Cas9 mediated FGR knock-out in resistant cells increased SAHA sensitivity. In silico analysis of B-cell lymphoma samples (n = 1200) showed a wide range of FGR expression indicating that FGR expression might help to stratify patients, which clinically benefit from SAHA therapy. In conclusion, our comprehensive analysis of SAHA-interacting proteins highlights FGR as a factor involved in SAHA resistance in B-cell lymphoma.
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Affiliation(s)
- Maria Joosten
- Institute of Pathology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Sebastian Ginzel
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany; Department of Computer Science, Bonn-Rhine-Sieg University of Applied Sciences, Grantham-Allee 20, 53757 Sankt Augustin, Germany
| | - Christian Blex
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Dmitri Schmidt
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Michael Gombert
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Cai Chen
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - René Martin Linka
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Olivia Gräbner
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Anika Hain
- Clinic for Gastroenterology, Hepatology and Infectiology, Medical Faculty, Heinrich-Heine-University, Moorenstrasse 5, 40225 Düsseldorf, Germany
| | - Burkhard Hirsch
- Institute of Pathology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Anke Sommerfeld
- Institute of Pathology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Anke Seegebarth
- Institute of Pathology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Uschi Gruber
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Corinna Maneck
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Langhui Zhang
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany; Department of Hematology, Union Hospital, Fujian Medical University, NO.29,Xinquan Road, Fuzhou City, Fujian Province, China
| | - Katharina Stenin
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Henrik Dieks
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Michael Sefkow
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Carsten Münk
- Clinic for Gastroenterology, Hepatology and Infectiology, Medical Faculty, Heinrich-Heine-University, Moorenstrasse 5, 40225 Düsseldorf, Germany
| | - Claudia D Baldus
- Department of Hematology and Oncology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Ralf Thiele
- Department of Computer Science, Bonn-Rhine-Sieg University of Applied Sciences, Grantham-Allee 20, 53757 Sankt Augustin, Germany
| | - Arndt Borkhardt
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Michael Hummel
- Institute of Pathology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Hubert Köster
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Ute Fischer
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Center of Child and Adolescent Health, Medical Faculty, Heinrich-Heine-University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Mathias Dreger
- caprotec bioanalytics GmbH, Magnusstraße 11, 12489 Berlin, Germany
| | - Volkhard Seitz
- Institute of Pathology, Charité University Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany.
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19
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Yang Y, Kelly P, Shaffer AL, Schmitz R, Yoo HM, Liu X, Huang DW, Webster D, Young RM, Nakagawa M, Ceribelli M, Wright GW, Yang Y, Zhao H, Yu X, Xu W, Chan WC, Jaffe ES, Gascoyne RD, Campo E, Rosenwald A, Ott G, Delabie J, Rimsza L, Staudt LM. Targeting Non-proteolytic Protein Ubiquitination for the Treatment of Diffuse Large B Cell Lymphoma. Cancer Cell 2016; 29:494-507. [PMID: 27070702 PMCID: PMC6026033 DOI: 10.1016/j.ccell.2016.03.006] [Citation(s) in RCA: 80] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Revised: 01/27/2016] [Accepted: 03/11/2016] [Indexed: 10/22/2022]
Abstract
Chronic active B cell receptor (BCR) signaling, a hallmark of the activated B cell-like (ABC) subtype of diffuse large B cell lymphoma (DLBCL), engages the CARD11-MALT1-BCL10 (CBM) adapter complex to activate IκB kinase (IKK) and the classical NF-κB pathway. Here we show that the CBM complex includes the E3 ubiquitin ligases cIAP1 and cIAP2, which are essential mediators of BCR-dependent NF-κB activity in ABC DLBCL. cIAP1/2 attach K63-linked polyubiquitin chains on themselves and on BCL10, resulting in the recruitment of IKK and the linear ubiquitin chain ligase LUBAC, which is essential for IKK activation. SMAC mimetics target cIAP1/2 for destruction, and consequently suppress NF-κB and selectively kill BCR-dependent ABC DLBCL lines, supporting their clinical evaluation in patients with ABC DLBCL.
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MESH Headings
- Adaptor Proteins, Signal Transducing/metabolism
- Animals
- Apoptosis Regulatory Proteins
- B-Cell CLL-Lymphoma 10 Protein
- B-Lymphocytes/drug effects
- B-Lymphocytes/metabolism
- Baculoviral IAP Repeat-Containing 3 Protein
- Bridged Bicyclo Compounds, Heterocyclic/pharmacology
- Bridged Bicyclo Compounds, Heterocyclic/therapeutic use
- CARD Signaling Adaptor Proteins/metabolism
- CRISPR-Cas Systems
- Caspases/metabolism
- Cell Line, Tumor
- Dipeptides/pharmacology
- Dipeptides/therapeutic use
- Enzyme Activation
- Gene Dosage
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic/drug effects
- Guanylate Cyclase/metabolism
- Humans
- I-kappa B Kinase/metabolism
- Indoles/pharmacology
- Indoles/therapeutic use
- Inhibitor of Apoptosis Proteins/antagonists & inhibitors
- Inhibitor of Apoptosis Proteins/genetics
- Inhibitor of Apoptosis Proteins/physiology
- Intracellular Signaling Peptides and Proteins/chemistry
- Lymphoma, Large B-Cell, Diffuse/classification
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Mice
- Mice, Inbred NOD
- Mice, SCID
- Mitochondrial Proteins/chemistry
- Mucosa-Associated Lymphoid Tissue Lymphoma Translocation 1 Protein
- Multiprotein Complexes/metabolism
- NF-kappa B/antagonists & inhibitors
- NF-kappa B/metabolism
- Neoplasm Proteins/antagonists & inhibitors
- Neoplasm Proteins/genetics
- Neoplasm Proteins/metabolism
- Neoplasm Proteins/physiology
- Protein Processing, Post-Translational/drug effects
- Receptors, Antigen, B-Cell/metabolism
- Triazoles/pharmacology
- Triazoles/therapeutic use
- Ubiquitin-Protein Ligases/antagonists & inhibitors
- Ubiquitin-Protein Ligases/genetics
- Ubiquitin-Protein Ligases/physiology
- Ubiquitination/drug effects
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Yibin Yang
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Priscilla Kelly
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Arthur L Shaffer
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Roland Schmitz
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Hee Min Yoo
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Xinyue Liu
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Da Wei Huang
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Daniel Webster
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Ryan M Young
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Masao Nakagawa
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Michele Ceribelli
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - George W Wright
- Biometric Research Branch, Division of Cancer Diagnosis and Treatment, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yandan Yang
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Hong Zhao
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Xin Yu
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Weihong Xu
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA
| | - Wing C Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Elaine S Jaffe
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Elias Campo
- Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Andreas Rosenwald
- Department of Pathology, University of Würzburg, 97080 Würzburg, Germany
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, 70376 Stuttgart, Germany
| | - Jan Delabie
- Department of Pathology, University Health Network, Toronto, Ontario M5G 2C4, Canada
| | - Lisa Rimsza
- Department of Pathology, University of Arizona, Tucson, AZ 85724, USA
| | - Louis M Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 4N115, Bethesda, MD 20892, USA.
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20
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Song J, Shao H. SNP Array in Hematopoietic Neoplasms: A Review. MICROARRAYS 2015; 5:microarrays5010001. [PMID: 27600067 PMCID: PMC5003446 DOI: 10.3390/microarrays5010001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 11/13/2015] [Accepted: 12/14/2015] [Indexed: 12/03/2022]
Abstract
Cytogenetic analysis is essential for the diagnosis and prognosis of hematopoietic neoplasms in current clinical practice. Many hematopoietic malignancies are characterized by structural chromosomal abnormalities such as specific translocations, inversions, deletions and/or numerical abnormalities that can be identified by karyotype analysis or fluorescence in situ hybridization (FISH) studies. Single nucleotide polymorphism (SNP) arrays offer high-resolution identification of copy number variants (CNVs) and acquired copy-neutral loss of heterozygosity (LOH)/uniparental disomy (UPD) that are usually not identifiable by conventional cytogenetic analysis and FISH studies. As a result, SNP arrays have been increasingly applied to hematopoietic neoplasms to search for clinically-significant genetic abnormalities. A large numbers of CNVs and UPDs have been identified in a variety of hematopoietic neoplasms. CNVs detected by SNP array in some hematopoietic neoplasms are of prognostic significance. A few specific genes in the affected regions have been implicated in the pathogenesis and may be the targets for specific therapeutic agents in the future. In this review, we summarize the current findings of application of SNP arrays in a variety of hematopoietic malignancies with an emphasis on the clinically significant genetic variants.
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Affiliation(s)
- Jinming Song
- Department of Hematopathology and Laboratory Medicine, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA.
| | - Haipeng Shao
- Department of Hematopathology and Laboratory Medicine, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA.
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21
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Sebastián E, Alcoceba M, Martín-García D, Blanco Ó, Sanchez-Barba M, Balanzategui A, Marín L, Montes-Moreno S, González-Barca E, Pardal E, Jiménez C, García-Álvarez M, Clot G, Carracedo Á, Gutiérrez NC, Sarasquete ME, Chillón C, Corral R, Prieto-Conde MI, Caballero MD, Salaverria I, García-Sanz R, González M. High-resolution copy number analysis of paired normal-tumor samples from diffuse large B cell lymphoma. Ann Hematol 2015; 95:253-62. [PMID: 26573278 DOI: 10.1007/s00277-015-2552-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 11/06/2015] [Indexed: 12/23/2022]
Abstract
Copy number analysis can be useful for assessing prognosis in diffuse large B cell lymphoma (DLBCL). We analyzed copy number data from tumor samples of 60 patients diagnosed with DLBCL de novo and their matched normal samples. We detected 63 recurrent copy number alterations (CNAs), including 33 gains, 30 losses, and nine recurrent acquired copy number neutral loss of heterozygosity (CNN-LOH). Interestingly, 20 % of cases acquired CNN-LOH of 6p21 locus, which involves the HLA region. In normal cells, there were no CNAs but we observed CNN-LOH involving some key lymphoma regions such as 6p21 and 9p24.1 (5 %) and 17p13.1 (2.5 %) in DLBCL patients. Furthermore, a model with some specific CNA was able to predict the subtype of DLBCL, 1p36.32 and 10q23.31 losses being restricted to germinal center B cell-like (GCB) DLBCL. In contrast, 8p23.3 losses and 11q24.3 gains were strongly associated with the non-GCB subtype. A poor prognosis was associated with biallelic inactivation of TP53 or 18p11.32 losses, while prognosis was better in cases carrying 11q24.3 gains. In summary, CNA abnormalities identify specific DLBCL groups, and we describe CNN-LOH in germline cells from DLBCL patients that are associated with genes that probably play a key role in DLBCL development.
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Affiliation(s)
- Elena Sebastián
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain
| | - Miguel Alcoceba
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain
| | - David Martín-García
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Óscar Blanco
- Department of Pathology, University Hospital of Salamanca, Salamanca, Spain
| | | | - Ana Balanzategui
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Luis Marín
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Santiago Montes-Moreno
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain
- Department of Pathology, University Hospital of Marqués de Valdecilla/IFIMAV, Santander, Spain
| | - Eva González-Barca
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain
| | - Emilia Pardal
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain
| | - Cristina Jiménez
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
| | - María García-Álvarez
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
| | - Guillem Clot
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Ángel Carracedo
- Fundación Pública Galega de Medicina Xenómica, IDIS, SERGAS, Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, CIBERER, Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Norma C Gutiérrez
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - M Eugenia Sarasquete
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Carmen Chillón
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Rocío Corral
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - M Isabel Prieto-Conde
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
| | - M Dolores Caballero
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain
| | - Itziar Salaverria
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Ramón García-Sanz
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain.
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
- Spanish Lymphoma/Autologous Bone Marrow Transplant Study Group (GELTAMO), Salamanca, Spain.
- Center for Cancer Research (CIC, IBMCC-USAL-CSIC), Salamanca, Spain.
| | - Marcos González
- Molecular Biology & Histocompatibility Unit, Department of Hematology, IBSAL - University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Center for Cancer Research (CIC, IBMCC-USAL-CSIC), Salamanca, Spain
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22
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Etebari M, Navari M, Piccaluga PP. SNPs Array Karyotyping in Non-Hodgkin Lymphoma. MICROARRAYS 2015; 4:551-69. [PMID: 27600240 PMCID: PMC4996401 DOI: 10.3390/microarrays4040551] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 10/29/2015] [Accepted: 11/04/2015] [Indexed: 02/06/2023]
Abstract
The traditional methods for detection of chromosomal aberrations, which included cytogenetic or gene candidate solutions, suffered from low sensitivity or the need for previous knowledge of the target regions of the genome. With the advent of single nucleotide polymorphism (SNP) arrays, genome screening at global level in order to find chromosomal aberrations like copy number variants, DNA amplifications, deletions, and also loss of heterozygosity became feasible. In this review, we present an update of the knowledge, gained by SNPs arrays, of the genomic complexity of the most important subtypes of non-Hodgkin lymphomas.
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Affiliation(s)
- Maryam Etebari
- Department of Experimental, Diagnostic, and Specialty Medicine; Hematopathology Unit, S. Orsola-Malpighi Hospital, Bologna 40138, Italy.
| | - Mohsen Navari
- Department of Experimental, Diagnostic, and Specialty Medicine; Hematopathology Unit, S. Orsola-Malpighi Hospital, Bologna 40138, Italy.
| | - Pier Paolo Piccaluga
- Department of Experimental, Diagnostic, and Specialty Medicine; Hematopathology Unit, S. Orsola-Malpighi Hospital, Bologna 40138, Italy.
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23
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