scholarly journals Germinal Center B Cells Derived from TET2-Mutated Clonal Hematopoiesis Provide a Microenviromental Niche for Tumor Cells in Angioimmunoblastic T-Cell Lymphoma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 445-445
Author(s):  
Manabu Fujisawa ◽  
Tran B. Nguyen ◽  
Yoshiaki Abe ◽  
Yasuhito Suehara ◽  
Kota Fukumoto ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Tumor Cells ◽  
Immune Cells ◽  
Germinal Center ◽  
Research Funding ◽  
Cell Lymphoma ◽  
Angioimmunoblastic T Cell Lymphoma ◽  
Clonal Hematopoiesis ◽  
B Lineage

Abstract Background Angioimmunoblastic T-cell lymphoma (AITL) is proposed to be initiated by age-related clonal hematopoiesis (ACH) with TET2mutations, whereas the G17V RHOA mutation in TET2-mutated immature cells facilitates development of T follicular helper (T FH)-like tumor cells. Notably, we and others have reported that immune cells derived from ACH with TET2 mutations infiltrate AITL tissues. However, how ACH-derived immune cells function as a microenvironmental niche in AITL remains largely unknown. Objective To elucidate the role of TET2-mutated immune cells in AITL tumorigenesis. Methods The G17V RHOA transgenic mice were crossed with mice lacking Tet2 in all blood cells (Mx-Crex Tet2f/f, A) and in T cells (Cd4-Crex Tet2f/f, B), respectively. Single-cell RNA sequencing (Sc-seq) was performed on >60,000 cells from AITL in mice (AITLm, n=2) and human (AITLh, n=5), and their controls to reveal the immune profiles. We used Seurat and Monocle3 pipelines for analysis of Sc-seq. Whole genome bisulfite sequencing (WGBS) was used to analyze the methylome of germinal center B (GCB) cells in AITLm and control. Results AITLm occurred only in A, but not in B. Then, we intraperitoneally transplanted Cd4 + tumor-containing cells together with various lineages of immune cells sorted from AITLm into nude mice. AITLm developed only when B-lineage cells were cotransplanted with Cd4 + tumor-containing cells. Unsupervised clustering of the Sc-seq data identified 6 T-, 6 B- and 3 myeloid clusters in AITLm. B-cell clusters were annotated into naïve B-, memory B-, GCB-, and plasma clusters along the B-cell differentiation through Geneset variable analysis (GSVA) and trajectory analysis. We found that the aberrant GCB clusters, simultaneously exhibiting DZ-like proliferation markers (Aicda and Mki67) and LZ-like activation markers (Cd40, Cd83) were markedly expanded in AITLm. Geneset Enrichment Analysis (GSEA) revealed that MYC targets and other signaling pathways involved in cell proliferation were highly enriched in the GCB clusters in AITLm. WGBS showed that the number of hypermethylated regions (HyperDMRs) was markedly higher than that of hypomethylated regions (HypoDMRs) at all the regions; promoters, exons, introns, untranslated and intergenic regions. Among HyperDMRs, Atp13a2, Pdzd2, Rapgef4, Irf4 and Egr3 expressions were downregulated in the GCB clusters of Sc-seq in AITLm. Remarkably, the number of BCR clones in GCB of AITLm were significantly less than those in controls. In addition, in AITLm mice, the number of somatic mutations in GCB cells was significantly higher than that in T FH-like tumor cells. Remarkably, we detected unique core histone mutations in the GCB cells of AITLm, including the recurrent p.Ser87Asn Histone3 mutations. Next, In silico network analysis using Sc-seq data between GCB and T FH-like clusters identified that 11 interactions, including Cd40-Cd40lg were significantly enhanced in AITLm compared to controls. Flowcytomeric analysis revealed that cell-surface expression of Cd40 were significantly higher in the GCB cells of AITLm than those of control. Pathologically, the follicular structure was disrupted in AITLm. Consequently, Cd40lg +Cd4 +tumor cells and Cd40 +Cd19 + cells were both diffusely distributed and sometimes localized adjacent to each other. Finally, administration of an anti-Cd40lg antibody prolonged the survival of nude mice transplanted with AITLm. In AITLh with TET2 mutations, unsupervised clustering of Sc-seq identified T-, B-, and myeloid-cell clusters and a cluster characterized by proliferative markers. In B-lineage cells, 9 clusters were re-clustered and annotated to naïve or memory B-, GCB- and plasmablast clusters under the same manner of mouse data. Gene ontology analysis from differential expression genes in each cluster showed that the GCB- and CD40-related genesets were enriched not only in the GCB cluster but also in the naive to memory B clusters. Furthermore, the AITL-B-specific geneset, which referred from genes (CD40, CD83, AICDA, MKI67) highly expressed in the GCB cluster in AITLm was enriched not only in the GCB cluster, but also in the naive to memory B clusters in AITLh. Conclusion This study suggests a new concept that ACH-derived GCB cells with TET2 mutations can undergo independent clonal evolution and function as microenvironmental cells to support tumorigenesis in AITL via the CD40-CD40LG axis. Disclosures Usuki: Astellas Pharma Inc.: Research Funding, Speakers Bureau; AbbVie GK: Research Funding, Speakers Bureau; Gilead Sciences, Inc.: Research Funding; SymBio Pharmaceuticals Ltd.: Research Funding, Speakers Bureau; Daiichi Sankyo Co., Ltd.: Research Funding, Speakers Bureau; Sumitomo-Dainippon Pharma Co., Ltd.: Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding, Speakers Bureau; Novartis Pharma K.K.: Research Funding, Speakers Bureau; Ono Pharmaceutical Co., Ltd.: Research Funding, Speakers Bureau; Janssen Pharmaceutical K.K.: Research Funding; Celgene K.K.: Research Funding, Speakers Bureau; Takeda Pharmaceutical Co., Ltd.: Research Funding, Speakers Bureau; Nippon-Boehringer-Ingelheim Co., Ltd.: Research Funding; Mundipharma K.K.: Research Funding; Amgen-Astellas Biopharma K.K.: Research Funding; Nippon-Shinyaku Co., Ltd.: Research Funding, Speakers Bureau; Kyowa-Kirin Co., Ltd.: Research Funding, Speakers Bureau; Pfizer Japan Inc.: Research Funding, Speakers Bureau; Alexion Pharmaceuticals, Inc.: Research Funding, Speakers Bureau; Eisai Co., Ltd.: Speakers Bureau; MSD K.K.: Research Funding, Speakers Bureau; PharmaEssentia Japan KK: Research Funding, Speakers Bureau; Yakult Honsha Co., Ltd.: Research Funding, Speakers Bureau; Bristol-Myers-Squibb K.K.: Research Funding, Speakers Bureau; Apellis Pharmaceuticals, Inc.: Research Funding; Incyte Biosciences Japan G.K.: Research Funding; Chugai Pharmaceutical Co., Ltd.: Research Funding, Speakers Bureau; Sanofi K.K.: Speakers Bureau; Amgen K.K.: Research Funding.

TCL1 Expression in B-Cell Tumors Is Dynamically Regulated by Maturation Stage, Proliferation, and the Follicular Microenvironment.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 4333-4333
Author(s):  
Marco Herling ◽  
Ryuji Kobayashi ◽  
Kaushali A. Patel ◽  
Kong Chao Chang ◽  
Ellen Schlette ◽  
...  
Keyword(s):  
T Cell ◽  
B Cells ◽  
B Cell ◽  
Tumor Cells ◽  
Germinal Center ◽  
Cell Lymphoma ◽  
Maturation Stage ◽  
Dynamic Regulation ◽  
B Cell Subsets ◽  
Human B Cell

Abstract The kinase comodulator TCL1 is the primary initiating oncogene in T-cell prolymphocytic leukemia and can produce B-cell or T-cell chronic lymphocytic leukemia (CLL) following transgenic expression in mice. Given its strong expression in some non-neoplastic B-cell subsets, the role of TCL1 as an oncogene in human B-cell tumors is less clear. Using a recently developed TCL1 monoclonal antibody (clone 1–21), we examined the relationship between TCL1 expression and B-cell maturation stage in tumor tissue arrays, lymphoma cell lines, primary tumor samples and in vitro stimulation assays. Results were compared with immunohistochemical expression of a variety of maturation, activation and cell proliferation markers and with the somatic hypermutation status determined by VH transcript analysis (<2% sequence divergence in VH regarded as “pre-germinal center”). In non-neoplastic B-cells, TCL1 was strongly and uniformly expressed in naive B-cell subsets, but was variably expressed in subsets of germinal center B-cells, with complete absence of expression in immunoblasts and plasma cells. In germinal center B-cells, TCL1 was expressed more strongly in the quiescent centrocyte fraction than in the proliferating centroblasts. This pattern was replicated in human B-cell lymphoma lines and tumors with complete absence of TCL1 in myeloma cases (n = 35) and monocytoid B-cells in marginal zone lymphoma (n = 8) and dim or absent expression in the majority of the mutated/post-germinal center subset of B-CLL (10/15, 67%). In contrast, TCL1 showed strong but modulated expression in the majority of unmutated/pre-germinal center type of B-CLL (14/19, 74%), and mantle cell lymphoma (MCL, 44/57, 84%), and less frequently in follicular lymphoma (FL, 21/47, 45%). In B-CLL, TCL1 was overexpressed in non-proliferating cells within the pseudo-follicular proliferation centers but was markedly downregulated in the CD23+bright PCNA+ proliferating tumor cell component. Similarly in MCL, TCL1 was downregulated in the proliferative component but upregulated in tumor cells in follicular and mantle zone locations versus the diffuse areas. In FL, the highest levels of TCL1 expression were found in those cases that most strongly expressed the germinal center markers CD10 and bcl-6, but TCL1 staining was inversely correlated with expression of proliferation and activation markers, such as CD23. In 3 FL cases with multiple biopsies at different tissue sites, TCL1 was downregulated in tumor cells at extranodal sites as compared to those within lymph node follicles. Thus, the dynamic regulation of TCL1 in B-cells and derived tumors is likely due to changes in the balance between stimulatory microenvironmental influences within the lymphoid follicle and inhibitory signals during cell cycle progression/proliferation. In post-germinal center tumors, TCL1 expression is effectively silenced, and no longer exhibits this dynamic regulation pattern. These studies strongly suggest that TCL1 exerts its effects in promoting cell survival in quiescent B-cell subsets prior to and in the absence of an (antigenic) proliferative signal.

Examining the Heterogeneity of Follicular Lymphoma By Multi-Parameter Flow Cyotmetry in Previously Untreated Patients

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2947-2947
Author(s):  
Debra K Czerwinski ◽  
Steven R Long ◽  
Michael Khodadoust ◽  
Matthew J. Frank ◽  
Adel Kardosh ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
B Cells ◽  
Follicular Lymphoma ◽  
B Cell ◽  
Tumor Cells ◽  
Immune Cells ◽  
Research Funding ◽  
T Cell Exhaustion ◽  
Cell Exhaustion

Abstract BACKGROUND: Follicular lymphoma (FL) is an indolent form of Non-Hodgkin B cell lymphoma that remains incurable with present therapies. Derived from germinal center B cells, FL B cells experience ongoing hypermutation of the immunoglobulin variable region gene. In addition, Michael Green, et al (PNAS; 2015), reported the presence of numerous somatic mutations to include those of the chromatin-modifying genes. These mutations accumulate over the course of the disease and play an important role in regulating gene transcription, B cell development and immune interactions. Furthermore, FL tumors maintain a resemblance to primary lymphoid follicles, and as such, present with a number of infiltrating immune cells, especially T cells, the numbers of which vary from patient to patient. The close association and interaction of these immune cells with the tumor B cells play an important part in determining the disease biology (Dave SS, et al. N Engl J Med; 2004). For instance, tumor B cells, through cell-cell contact with these immune cells and/or through secretion of inhibitory cytokines such as TGF-b and IL-10, induce T cell exhaustion and apoptosis as well as suppressive T cell phenotypes (FoxP3+ T Regulatory cells) thus evading immune eradication (Yang Z-Z, et al. Blood 2007 and Ai WZ, et al. IntJ Cancer; 2009). They also promote their own survival and proliferation through their interaction with resident T follicular helper cells via CD40L/CD40 interactions (Ame'-Thomas P, et al. Blood; 2005). As a corollary to an ongoing clinical trial, we received fine needle aspirates (FNAs) of easily accessible tumors from 14 patients with FL prior to any treatment. 6 of these patients had samples taken from a second site simultaneously. All samples were processed within 24 hours into a single-cell suspension; red blood cells were lysed. Cells were then stained with antibodies to delineate T, B, NK, dendritic, and myeloid cells, as well as their subsets. Antibodies against activation antigens, T cell exhaustion, inhibition and function were also used to characterize these cells. Finally, the cells were run on a 17-parameter LSRII (Becton Dickinson) and data analyzed via Cytobank, a web-based data storage and analysis tool. PURPOSE: To better understand the biology of FL as represented by protein expression by the tumor cells and the immune cells that make up the microenvironment. We will especially look to evaluate the heterogeneity inherent in FL by flow cytometry across patients as well as within any one individual. RESULTS: Each sample is stained with 4 panels of antibodies, 13 antibodies each, allowing us to measure over 100 cell subsets. A quick preview of all data shows that there is a high variability between patients in the percentage of T cells within the microenvironment (37.7% + 16.6% of all cells collected from all samples). This variability is represented by the differences in the CD4 T cell compartment (27.6 + 12.9%) and to a lesser degree in the CD8 compartment (7.7 + 3.7%). To note, this variability in T cells does not correlate with time from diagnosis to sample collection which ranged from 3.4 years to approximately 5 months. Also, this is in contrast to the similar percentage of CD4 and CD8 T cells expressing PD-1 (55.5 + 8.8% and 46.0 + 8.9%, respectively) across patients. Notably, there is much less variability from site to site within each patient then between patients as demonstrated by Figure 1 where Site A and Site B are 2 separate lesions within each patient listed, sampled at the same time. Since FL presumably begins in a single site in the body and then becomes disseminated, the fact that a characteristic relationship exists between tumor cells and immune cells wherever the disease is found implies a mutual interdependence of the tumor cells in each case and their immune host component. CONCLUSION: Follicular lymphoma is a very heterogeneous disease as would be expected by the diversity of mutations seen at the genomic level. This heterogeneity is also apparent in the microenvironment from one patient to another. Conversely, different tumor sites within each patient have a characteristic and fixed relationship to their immune microenvironment. The emergence of novel therapies for FL, including checkpoint antibodies such as anti-PD-1 and anti-PD-L1 and small molecules such as Ibrutinib, will be informed by understanding the differences as well as the similarities in each case of FL. Disclosures Levy: Kite Pharma: Consultancy; Five Prime Therapeutics: Consultancy; Innate Pharma: Consultancy; Beigene: Consultancy; Corvus: Consultancy; Dynavax: Research Funding; Pharmacyclics: Research Funding.

scholarly journals A Case of Cutaneous Epstein-Barr Virus-Associated Diffuse Large B-Cell Lymphoma in an Angioimmunoblastic T-Cell Lymphoma

2016 ◽  
Vol 28 (6) ◽  
pp. 789 ◽  
Author(s):  
Mi-Hye Lee ◽  
Ik-Jun Moon ◽  
Woo-Jin Lee ◽  
Chong-Hyun Won ◽  
Sung-Eun Chang ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Epstein Barr Virus ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Angioimmunoblastic T Cell Lymphoma ◽  
Barr Virus ◽  
Large B Cell Lymphoma ◽  
Epstein Barr ◽  
Large B Cell

scholarly journals Inflammatory Cells in Diffuse Large B Cell Lymphoma

2020 ◽  
Vol 9 (8) ◽  
pp. 2418
Author(s):  
Roberto Tamma ◽  
Girolamo Ranieri ◽  
Giuseppe Ingravallo ◽  
Tiziana Annese ◽  
Angela Oranger ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
B Cell ◽  
Tumor Cells ◽  
Immune Cells ◽  
Tumor Antigens ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Large B Cell Lymphoma ◽  
Large B Cell

Diffuse large B cell lymphoma (DLBCL), known as the most common non-Hodgkin lymphoma (NHL) subtype, is characterized by high clinical and biological heterogeneity. The tumor microenvironment (TME), in which the tumor cells reside, is crucial in the regulation of tumor initiation, progression, and metastasis, but it also has profound effects on therapeutic efficacy. The role of immune cells during DLBCL development is complex and involves reciprocal interactions between tumor cells, adaptive and innate immune cells, their soluble mediators and structural components present in the tumor microenvironment. Different immune cells are recruited into the tumor microenvironment and exert distinct effects on tumor progression and therapeutic outcomes. In this review, we focused on the role of macrophages, Neutrophils, T cells, natural killer cells and dendritic cells in the DLBCL microenvironment and their implication as target for DLBCL treatment. These new therapies, carried out by the induction of adaptive immunity through vaccination or passive of immunologic effectors delivery, enhance the ability of the immune system to react against the tumor antigens inducing the destruction of tumor cells.

scholarly journals Cerebellar EBV-associated diffuse large B cell lymphoma following angioimmunoblastic T cell lymphoma

2015 ◽  
Vol 8 (4) ◽  
pp. 235-241 ◽  
Author(s):  
Yi Zhou ◽  
Marc K. Rosenblum ◽  
Ahmet Dogan ◽  
Achim A. Jungbluth ◽  
April Chiu
Keyword(s):  
T Cell ◽  
B Cell ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
T Cell Lymphoma ◽  
Angioimmunoblastic T Cell Lymphoma ◽  
Large B Cell Lymphoma ◽  
Large B Cell

Differential Expression of the Homeobox Gene MIXL1 in Non Hodgkin (NHL) and Hodgkin Lymphomas (HL).

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 3014-3014
Author(s):  
Elias Drakos ◽  
George Z. Rassidakis ◽  
Wei Guo ◽  
L. Jeffrey Medeiros ◽  
Lalitha Nagarajan
Keyword(s):  
T Cell ◽  
Protein Expression ◽  
B Cell ◽  
Tumor Cells ◽  
Cell Lymphoma ◽  
Lymphoblastic Leukemia ◽  
T Cell Lymphoma ◽  
High Grade ◽  
Intermediate Grade ◽  
Aberrant Expression

Abstract The gene MIXL1 (Mix1 homeobox-like) encodes a paired class homeobox transcription factor involved in early hematopoietic specification during embryogenesis. Previous studies have shown that MIXL1 gene is expressed in hematopoietic cells during adult life (Guo et al. Blood100;1;89–96, 2002). Furthermore 5′ MIXL1 sequences are a target of retroviral insertion in murine T-cell lymphoma (http:RTCGD.ncifcrf.gov), suggesting a selection advantage for aberrant expression of this gene. However, the status of MIXL1 expression in human lymphomas has not been examined. Using a highly specific antibody, we assessed for MIXL1 protein expression in 14 lymphoma cell lines (9 B-cell and 5 T-cell) by immunobloting. MIXL1 was detected predominantly in nuclear extracts of lysates of all cell lines tested, although at a variable level. We also assessed for MIXL1 protein expression in 126 B-cell and 21 T-cell NHLs of various types, as well as 14 Hodgkin lymphomas using immunohistochemical methods. The results of the immunohistochemical studies are summarized in table 1. Once again, MIXL1 immunoreactivity was primarily nuclear in the tumor cells. Based on distribution data (histogram), a 50% cutoff was selected for high versus low MIXL1 expression. Among B-cell tumors, high expression levels of MIXL1 protein were more frequently detected in high-grade NHL and HL compared with low/intermediate grade NHL (p<0.0001, chi-square test). As a continuous variable, the percentage of MIXL1-positive tumor cells was also significantly higher in high-grade B-cell NHL and HL compared with low/intermediate grade NHL (p<0.0001, Kruskal Wallis test). All Hodgkin lymphomas expressed high levels of MIXL1 with 60% to 100% of neoplastic cells being positive for MIXL1. Most T-cell NHLs also expressed high levels of MIXL1. In contrast, most low/intermediate-grade B-cell NHL and multiple myelomas expressed low levels of MIXL1. Frequent overexpression of MIXL1 gene product in most high-grade B-cell NHLs, HL and T-cell NHLs suggests that aberrant expression of MIXL1 may play a role in proliferation, block of differentiation or both. Table 1. HL (n=14) B-NHL (n =126) T-NHL (n =21) N (%) Low/intermediate grade N (%) N (%) Classical HL 12/12(100%) Chronic lymphocytic leukemia /small lymphocytic lymphoma 0/8 (0% T-precursor lymphoblastic leukemia/lymphoma 2/2 (0%) Nodular lymphocyte predominance HL 2/2 (100%) MALT-lymphoma 0/8 (0%) Mycosis fungoides/Sezary syndrome 2/2 (0%) Follicular lymphoma 9/24 (38%) Extranodal NK/T-cell lymphoma, nasal type 3/3 (100%) Mantle cell lymphoma 5/34 (15%) Peripheral T-cell lymphoma, unspecified 6/9 (66% High grade Anaplastic large cell lymphoma 5/5 (100%) B-precursor lymphoblastic leukemia/lymphoma 1/3 (33%) Burkitt lymphoma/leukemia 2/2 (100%) Diffuse large B-cell lymphoma 30/31 (97%) Plasma cell myeloma/plasmacytoma 0/16 (0%)

Comprehensive Oncology Measures for Peripheral T-Cell Lymphoma Treatment (COMPLETE): First Detailed Report of Primary Treatment

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1614-1614 ◽  
Author(s):  
Francine M. Foss ◽  
Kenneth R. Carson ◽  
Lauren Pinter-Brown ◽  
Steven M. Horwitz ◽  
Steven T. Rosen ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Board Of Directors ◽  
Initial Treatment ◽  
Research Funding ◽  
Cell Lymphoma ◽  
Primary Treatment ◽  
T Cell Lymphoma ◽  
Peripheral T Cell Lymphoma ◽  
Advisory Committees

Abstract 1614 Background: Registries can be invaluable for describing patterns of care for a population of patients. COMPLETE is a registry of peripheral T-cell lymphoma (PTCL) patients designed to identify the lymphoma-directed treatments and supportive care measures that PTCL patients receive. We report here the first detailed findings of initial therapy. Methods: This is a prospective, longitudinal, observational registry that is led by a global steering committee. Patients with newly diagnosed PTCL and providing written informed consent are eligible. Patients are entered into the registry from time of initial diagnosis and followed for up to 5 years. Only locked records are reported. Results: As of July 2012, 330 patients have been enrolled from the United States. The first patient was enrolled in February 2010. Locked baseline and treatment records are available for 124 and 81 patients, respectively. Of the 124 patients with locked baseline records, 67 patients (54%) were male, the mean age was 59 (range: 19–89), and race/ethnicity was recorded as: White (87 patients; 70%), Black (19; 15%), Asian (5; 4%) and other/unknown (13; 11%). Histology was reported as follows: PTCL-not otherwise specified (27%), anaplastic large cell lymphoma-primary systemic type (18%), angioimmunoblastic T-cell lymphoma (17%), transformed mycosis fungoides (7%), T/NK-cell lymphoma-nasal and nasal type (6%), adult T-cell leukemia/lymphoma, HTLV 1+ (6%) and other (19%). 25 patients (20%) had received another diagnosis, including B-cell lymphoma, Hodgkin's disease and other T-cell lymphomas, prior to their current diagnosis of PTCL. 49 patients (40%) had B symptoms, 102 patients (82%) had an Ann Arbor stage of III/IV, 116 patients (94%) had ECOG performance status of 0–1, and international prognostic index (IPI) score was distributed as follows: IPI 0 (7% of patients), 1 (15%), 2 (43%), 3 (26%), and 4 (9%). Of the 81 patients with locked treatment records, details on initial treatment can be found in table below. Conclusions: This first detailed analysis of primary treatment of PTCL indicates that this disease is still largely being treated with regimens derived primarily from studies of B-cell lymphomas and that a single standard of care does not exist. The fact that a meaningful proportion of patients were initially diagnosed with something other than their current diagnosis of PTCL points out the challenges of diagnosing the disease. While the intent of initial treatment for most patients is to affect a cure, more than 20% of patients were noted as deceased at the end of initial treatment, underscoring the need for more effective, disease-specific therapy. Disclosures: Foss: Merck: Study Grant, Study Grant Other; Celgene: Study Grant, Study Grant Other; Eisai: Consultancy; Seattle Genetics: Consultancy; Celgene: Consultancy; Allos: Consultancy. Carson:Allos: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Pinter-Brown:Allos: Consultancy, Membership on an entity's Board of Directors or advisory committees. Horwitz:Allos: Consultancy, Research Funding. Rosen:Allos: Consultancy, Honoraria. Pro:Celgene: Honoraria, Research Funding; Spectrum: Honoraria; Allos: Honoraria; Seattle Genetics: Research Funding. Gisselbrecht:Allos: Consultancy, Membership on an entity's Board of Directors or advisory committees. Hsi:Allos: Research Funding; Eli Lilly: Research Funding; Abbott: Research Funding; Cellerant Therapeutics: Research Funding; BD Biosciences: Research Funding; Millenium: Research Funding.

Concomitant angioimmunoblastic T-cell lymphoma and low grade B-cell lymphoproliferative disorder

2001 ◽  
Vol 23 (2) ◽  
pp. 139-142 ◽  
Author(s):  
C. Christopoulos ◽  
A. Tassidou ◽  
S. Golfinopoulou ◽  
G. Anastasiadis ◽  
S. Manetas ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Lymphoproliferative Disorder ◽  
Cell Lymphoma ◽  
T Cell Lymphoma ◽  
Low Grade ◽  
Angioimmunoblastic T Cell Lymphoma
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