417 A c-Myc induced gene expression signature in human germinal center B cells predicts subtypes of aggressive non-Hodgkin Lymphoma

2010 ◽  
Vol 8 (5) ◽  
pp. 107
Author(s):  
A. Schrader ◽  
S. Bentink ◽  
R. Spang ◽  
D. Lenze ◽  
M. Hummel ◽  
...  
2009 ◽  
Vol 175 (6) ◽  
pp. 2609-2617 ◽  
Author(s):  
Daniela Omodei ◽  
Dario Acampora ◽  
Filippo Russo ◽  
Rosaria De Filippi ◽  
Valeria Severino ◽  
...  

Blood ◽  
2001 ◽  
Vol 97 (6) ◽  
pp. 1796-1802 ◽  
Author(s):  
Liliana Guedez ◽  
Adnan Mansoor ◽  
Bente Birkedal-Hansen ◽  
Megan S. Lim ◽  
Paula Fukushima ◽  
...  

Tissue inhibitors of metalloproteinases (TIMPs), first described as specific inhibitors of matrix metalloproteinases, have recently been shown to exert growth factor activities. It was previously demonstrated that TIMP-1 inhibits apoptosis in germinal center B cells and induces further differentiation. Interleukin-10 (IL-10) is reported as a vital factor for the differentiation and survival of germinal center B cells and is also a negative prognostic factor in non-Hodgkin lymphoma (NHL). However, the mechanism of IL-10 activity in B cells and the regulation of its expression are not well understood. IL-10 has been shown to up-regulate TIMP-1 in tissue macrophages, monocytes, and prostate cancer cell lines, but IL-10 modulation of TIMP-1 in B cells and the effect of TIMP-1 on IL-10 expression has not been previously studied. It was found that TIMP-1 expression regulates IL-10 levels in B cells and that TIMP-1 mediates specific B-cell differentiation steps. TIMP-1 inhibition of apoptosis is not IL-10 dependent. TIMP-1 expression in B-cell NHL correlates closely with IL-10 expression and with high histologic grade. Thus, TIMP-1 regulates IL-10 expression in B-cell NHL and, through the inhibition of apoptosis, appears responsible for the negative prognosis associated with IL-10 expression in these tumors.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2079-2079
Author(s):  
Edit Porpaczy ◽  
Martin Bilban ◽  
Elisabeth Kroemer ◽  
Georg Heinze ◽  
Michaela Gruber ◽  
...  

Abstract The prognosis of patients with B-CLL is largely determined by the karyotype of the malignant clone. Microarray technology has facilitated linkage between chromosomal aberrations and gene expression signatures. We have investigated the gene expression profile associated with trisomy 12 (+12). Expression data were obtained by microarray analysis of mRNA from unselected PBMNC of 4 patients with +12 and compared with 16 B-CLL controls. 146 genes were at least 2-fold over- or underexpressed in samples with +12. Five of the 16 genes showing the strongest correlation with +12 were selected for further analysis (HIP1R FC=3,43; MYF6 FC=3,92; P2RY14 FC=−9,59; RASGRP3 FC=−3,85; SLC2A6 FC=2,13) and validation by real time PCR: HIP1R located on chromosome 12q24, with a fold change (FC) of 3,43, MYF6 (chromosome 12q21, FC=3,92), P2RY14 (chromosome 3q21–q25, FC-9,59) RASGRP3 (chromosome 2p25.1–p24.1, FC=−3,85). SLC2A6 (chromosome 9q34, FC=2,13). Quantitative PCR was performed with mRNA from 61 patients (29 with +12, 32 B-CLL controls) and 2 healthy donors. Only 3 genes were significantly associated with +12 compared to the B-CLL-controls in this evaluation: HIP1R (3,486; p<0,0001), MYF6 (1,498; p=0,005), P2RY14 (1,216; p=0,013). (Table1). Two of these genes (HIP1R, MYF6) are located on chromosome 12 indicating a “gene dosage effect”, while P2RY14 is localized on a different chromosome suggesting trans-acting processes. We have used expression of HIP1R as a surrogate marker for trisomy 12. The predicted sensitivity was 79,3% and the predicted specifity was 90,6. Analysis of CD19+ selected B-CLL and normal B-cells revealed that MYF6 is exclusively expressed in normal or malignant B-cells in peripheral blood. We confirmed that MYF6 is highly specific for skeletal muscle, however strong expression was found in normal tonsils, DLBCL, and other B-cell malignancies. Our data link a specific gene expression signature with trisomy 12. 3 novel marker genes were identified, which could be used as diagnostic tools. The linkage with P2RY14 suggests that +12 influences the expression of genes from other chromosomes. Table 1 Mean + 12, N=29 Mean B-CLL controls, N=32 p-value Locus Fold change microarray HIP1R 0,7819 0,2243 0,000 12q24 3,43 MYF6 37,55 25,06 0,005 12q21 3,92 P2RY14 −0,2873 0,3494 0,013 3q21–q25 −9,59 RASGRP3 0,8404 1,0774 0,055 2p25.1–p24.1 −3,85 SLC2A6 29,78 22,37 0,080 9q34 2,13


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 524-524
Author(s):  
Jacqueline E. Payton ◽  
Olivia I. Koues ◽  
Rodney Kowalewski ◽  
Jennifer A. Schmidt ◽  
Li-Wei Chang ◽  
...  

Abstract Abstract 524 Understanding epigenetic mechanisms of gene regulation will provide an unprecedented opportunity for therapeutic intervention in cancer because, unlike genetic lesions, pathogenic changes to the epigenome are reversible. Non-Hodgkin Lymphoma (NHL), which strikes 70,000 Americans annually, is characterized by deregulated expression of large gene cohorts that mediate unchecked cell growth, the molecular basis of which remains poorly understood. Recently, recurrent somatic mutations were identified in chromatin modifier genes (EZH2, MLL2, EP300) in ∼30% of NHL, suggesting that epigenetic dysregulation may be a common mechanism for widespread gene expression changes. Indeed, previous studies have demonstrated evidence of aberrant DNA methylation in lymphoma. Moreover, NHL-specific regulatory elements are attractive candidates for therapeutic targeting, because reversal of their aberrant epigenetic profile would restore normal gene expression, while leaving normal cells intact. In this study, we performed integrative epigenomic, genomic, and transcriptomic profiling of purified CD19+ B cells from excisional lymph node biopsies and peripheral blood (PB, when available and free of circulating lymphoma) in 84 patients with NHL (Diffuse Large B cell lymphoma (DLBCL) N=34, Follicular Lymphoma (FL) N=38, Marginal Zone/Mantle Cell/Chronic Lymphocytic Leukemia (MZL/MCL/CLL) N=12), 20 patients undergoing elective tonsillectomy (tonsil B cells), and 40 healthy volunteers (PB). To enrich for key changes in the NHL epigenome, crosslinked chromatin was subjected to formaldehyde-assisted isolation of regulatory elements (FAIRE), for highly active histone-depleted regions, and chromatin immunoprecipitation (ChIP) for several activating (H3K4me1, H3K27ac, H3K9/14ac), and repressive (H3K27me3) histone marks, followed by high throughput sequencing (FAIRE/ChIP-Seq). To identify genes regulated by putative NHL-specific regulatory elements, we profiled gene expression (mi/mRNA) by microarray and, in primary tumors, by RNA-Seq to detect novel isoforms, translocations, and mutations, such as those in epigenetic modifier genes. In order to analyze this complex dataset, we created a global, integrative algorithm to evaluate the regulatory potential of a given epigenetic element, or set of elements, based on a step-wise approach. All regulatory elements were ranked according to several parameters, including distance to transcription start sites (TSS), gene expression level, chromatin state, distance to CTCF sites, genomic copy number, degree of sequence conservation, association with mutations in epigenetic modifiers, and most importantly, NHL-specificity and recurrence (number of samples). We first established the NHL-specificity of each regulatory element by comparison to matched PBB, if available, or to healthy donor B cells, identifying thousands of regulatory elements that are differentially enriched (“gained” or “lost”) in at least one primary NHL sample. We further assessed the likely role of each element by its genomic, epigenomic, and transcriptomic contexts. Gained elements were significantly associated with higher levels of gene expression in NHL compared to normal B cells (p<0.0001); and conversely, lost elements were significantly associated with decreased expression levels (p<0.0035). Subsequent to this global analysis, we ranked the NHL-specific elements as described above and identified a set of prioritized signatures, comprising a few dozen to hundreds of elements, depending on the type (gained/lost), chromatin state, and recurrence. As predicted, some of these signatures were associated with oncogenes, such as TP63, BCL2, and BCL6; however, others are intergenic and may be cis-elements coordinating expression of distal genes. Intriguingly, subsets of these chromatin signatures are specific for distinct NHL subtypes or grades. In summary, our findings establish a foundational dataset for surveying the epigenomic landscape of NHL, while identifying key chromatin signatures for the development of targeted epigenetic therapies. Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 11 (507) ◽  
pp. eaaw4236 ◽  
Author(s):  
Philip K. Ehrenberg ◽  
Shida Shangguan ◽  
Biju Issac ◽  
Galit Alter ◽  
Aviva Geretz ◽  
...  

Current HIV vaccines are only partially efficacious, presenting an opportunity to identify correlates of protection and, thereby, potential insight into mechanisms that prevent HIV acquisition. Two independent preclinical challenge studies in nonhuman primates (NHPs) previously showed partial efficacy of a mosaic adenovirus 26 (Ad26)–based HIV-1 vaccine candidate. To investigate the basis of this protection, we performed whole transcriptomics profiling by RNA sequencing (RNA-seq) in sorted lymphocytes from peripheral blood samples taken during these studies at different time points after vaccination but before challenge. We observed a transcriptional signature in B cells that associated with protection from acquisition of simian immunodeficiency virus (SIV) or the simian-human immunodeficiency virus (SHIV) in both studies. Strong antibody responses were elicited, and genes from the signature for which expression was enriched specifically associated with higher magnitude of functional antibody responses. The same gene expression signature also associated with protection in RV144 in the only human HIV vaccine trial to date that has shown efficacy and in two additional NHP studies that evaluated similar canarypox-based vaccine regimens. A composite gene expression score derived from the gene signature was one of the top-ranked correlates of protection in the NHP vaccine studies. This study aims to bridge preclinical and clinical data with the identification of a gene signature in B cells that is associated with protection from SIV and HIV infection by providing a new approach for evaluating future vaccine candidates.


2004 ◽  
Vol 78 (8) ◽  
pp. 4108-4119 ◽  
Author(s):  
Ellen D. Cahir-McFarland ◽  
Kara Carter ◽  
Andreas Rosenwald ◽  
Jena M. Giltnane ◽  
Sarah E. Henrickson ◽  
...  

ABSTRACT Epstein-Barr virus (EBV) latency III infection converts B lymphocytes into lymphoblastoid cell lines (LCLs) by expressing EBV nuclear and membrane proteins, EBNAs, and latent membrane proteins (LMPs), which regulate transcription through Notch and tumor necrosis factor receptor pathways. The role of NF-κB in LMP1 and overall EBV latency III transcriptional effects was investigated by treating LCLs with BAY11-7082 (BAY11). BAY11 rapidly and irreversibly inhibited NF-κB, decreased mitochondrial membrane potential, induced apoptosis, and altered LCL gene expression. BAY11 effects were similar to those of an NF-κB inhibitor, ΔN-IκBα, in effecting decreased JNK1 expression and in microarray analyses. More than 80% of array elements that decreased with ΔN-IκBα expression decreased with BAY11 treatment. Newly identified NF-κB-induced, LMP1-induced, and EBV-induced genes included pleckstrin, Jun-B, c-FLIP, CIP4, and IκBε. Of 776 significantly changed array elements, 134 were fourfold upregulated in EBV latency III, and 74 were fourfold upregulated with LMP1 expression alone, whereas only 28 were more than fourfold downregulated by EBV latency III. EBV latency III-regulated gene products mediate cell migration (EBI2, CCR7, RGS1, RANTES, MIP1α, MIP1β, CXCR5, and RGS13), antigen presentation (major histocompatibility complex proteins and JAW1), mitogen-activated protein kinase pathway (DUSP5 and p62Dok), and interferon (IFN) signaling (IFN-γRα, IRF-4, and STAT1). Comparison of EBV latency III LCL gene expression to immunoglobulin M (IgM)-stimulated B cells, germinal-center B cells, and germinal-center-derived lymphomas clustered LCLs with IgM-stimulated B cells separately from germinal-center cells or germinal-center lymphoma cells. Expression of IRF-2, AIM1, ASK1, SNF2L2, and components of IFN signaling pathways further distinguished EBV latency III-infected B cells from IgM-stimulated or germinal-center B cells.


2003 ◽  
Vol 77 (13) ◽  
pp. 7308-7318 ◽  
Author(s):  
Sofia Marques ◽  
Stacey Efstathiou ◽  
K. G. Smith ◽  
Matthias Haury ◽  
J. Pedro Simas

ABSTRACT Intranasal infection of mice with murine gammaherpesvirus 68 (MHV-68), a virus genetically related to the human pathogen Kaposi's sarcoma-associated herpesvirus, results in a persistent, latent infection in the spleen and other lymphoid organs. Here, we have determined the frequency of virus infection in splenic dendritic cells, macrophages, and several B-cell subpopulations, and we quantified cell type-dependent virus transcription patterns. The frequencies of virus genome positive cells were maximal at 14 days postinfection in all splenic cell populations analyzed. Marginal zone and germinal center B cells harbored the highest frequency of infection and the former population accounted for approximately half the total number of infected B cells. Analysis of virus transcription during the establishment of latency revealed that virus gene expression in B cells was restricted and dependent on the differentiation stage of the B cell. Notably, transcription of ORF73 was detected in germinal center B cells, a finding in agreement with the predicted latent genome maintenance function of ORF73 in dividing cells. At late times after infection, virus DNA could only be detected in newly formed and germinal center B cells, which suggests that B cells play a critical role in facilitating life-long latency.


2006 ◽  
Vol 346 (2) ◽  
pp. 461-469 ◽  
Author(s):  
Jessica M. Lindvall ◽  
K. Emelie M. Blomberg ◽  
Anna Berglöf ◽  
C.I. Edvard Smith

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 4988-4988
Author(s):  
Elinor Lee ◽  
Xiuli Xu ◽  
Peter Munson ◽  
Ronald Cooper ◽  
Nalini Raghavachari ◽  
...  

Abstract Rituximab, a monoclonal anti-CD20 antibody, is used to treat Chronic Lymphocytic Leukemia (CLL) in combination with fludarabine. Rituximab is thought to deplete B-cells through antibody-dependent cellular cytotoxicity, complement-dependent cytotoxicity, and possibly signaling for apoptosis. Whether or not signaling by rituximab contributes to its clinical efficacy and can sensitize the malignant cells to chemotherapy is controversial. To investigate if rituximab can induce a specific gene expression signature, we used genomic-scale gene expression profiling (Affymetrix HU133A 2.0 arrays) of B-cells from CLL patients receiving their first rituximab infusion. During the infusion, patients experienced a cytokine release syndrome (fever, chills, and hypotension) that led to interruption and symptomatic treatment in most; however, all patients were able to finish the treatment. Absolute lymphocyte counts decreased on average by 50% over this initial 24h period. We analyzed CD19+ selected CLL cells from eight patients obtained pre and 6 and 24 hours after the start of rituximab. A one-way ANOVA test was used to identify genes up- or down-regulated with a false discovery rate (FDR = number of expected chance findings / number of observations) of &lt;10%. We identified 80 genes with at least 1.5× higher expression at 6h versus 0h including many interferon (IFN)-regulated genes like IRF1, IFITM1, STAT1, JAK3 and several apoptosis related genes such as FAS and Caspase 8. The majority of these genes were at least 2-fold up-regulated at 6 hours, but most returned to pre-treatment levels by 24 hours. Thus, rituximab induced a transient gene expression signature that correlated with the cytokine release syndrome during the infusion. To determine whether or not this IFN signature was caused directly by rituximab signaling or indirectly by cytokines released during the infusion, we compared rituximab and IFN gamma effects on CLL cells in-vitro. Both rituximab (10ug/ml with cross-linking) and IFN-gamma (1000U/ml) induced FAS (CD95) expression in CLL cells measured by flow cytometry. CD95 expression was low on untreated CLL cells, at 6 hours, up-regulation of CD95 expression with rituximab was stronger than with IFN, while at 24 hours, IFN treated cells showed slightly higher CD95 expression. Next, we investigated whether rituximab is able to activate STAT1, the main transcription factor regulating IFN target genes. IFN gamma induced rapid phosphorylation of STAT1 in CLL cells, but rituximab did not. However, we observed phosphorylation of ERK in response to rituximab as has been reported by others. After in-vitro stimulation with rituximab and IFN-gamma, IRF-1 and STAT-1 were up-regulated at 2 and 6 hours as measured by real time PCR, albeit with a stronger response after IFN. We conclude that rituximab is associated with a specific gene expression signature in CLL patients that is characterized by IFN response genes. At this point, we cannot rule out that this signature is contributed in part by cytokines released during the rituximab infusion. However, the rapid up-regulation of CD95, STAT1, and IRF1 under controlled in-vitro conditions is consistent with a direct effect of rituximab. Ongoing studies aim to better characterize rituximab signaling in CLL and to determine whether this can contribute to apoptosis or sensitize the leukemic cells to chemotherapy.


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