scholarly journals Systemic EBV‐positive T‐cell lymphoma of childhood mimicking anaplastic large cell lymphoma

2019 ◽  
Vol 185 (6) ◽  
pp. 1016-1016 ◽  
Author(s):  
Zihang Chen ◽  
Weiping Liu ◽  
Sha Zhao
2021 ◽  
pp. ji2001279
Author(s):  
Chuancang Jiang ◽  
Ming-Lang Zhao ◽  
Luis Ramos ◽  
Katarzyna Dobaczewska ◽  
Ronald Herbert ◽  
...  

2003 ◽  
Vol 43 (5) ◽  
pp. 462-469 ◽  
Author(s):  
R L ten Berge ◽  
P C de Bruin ◽  
J J Oudejans ◽  
G J Ossenkoppele ◽  
P van der Valk ◽  
...  

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2399-2399 ◽  
Author(s):  
Steven M. Horwitz ◽  
Francine Foss ◽  
Shari Goldfarb ◽  
Ana Molina ◽  
Paul A. Hamlin ◽  
...  

Abstract FDG-PET is emerging as a standard staging study for diffuse large B-cell lymphoma and Hodgkin’s disease. There is little experience with PET in staging T-cell lymphomas (TCL). TCL often involve extranodal sites not well imaged by standard CT. We hypothesized that PET would add to staging by detecting additional sites of disease. To address this question we reviewed our TCL database to identify patients (pt) who had PET as part of complete staging at initial diagnosis or at relapse. Each pt was included once. Staging included physical exam, CT scan of the chest/abdomen/pelvis alone or as part of a PET/CT combination, and bone marrow (BM) biopsy. Studies such as MRI of the sinus or ultrasound of the testes were done as clinically indicated. We reviewed 107 pt who met the above criteria. Histologies were as follows: peripheral T-cell lymphoma NOS (PTCL), angioimmunoblastic T-cell lymphoma (AILT), anaplastic large cell lymphoma, ALK-1-, (ALCL−), anaplastic large cell lymphoma, ALK-1+, (ALCL+), mycosis fungoides (MF), subcutaneous panniculitis-like T-cell lymphoma (SPTCL), adult T-cell lymphoma (ATL), NK lymphoma nasal type (NK-Nas), lymphoblastic lymphoma (LL), enteropathy associated T-cell lymphoma (EATCL), blastic NK lymphoma (BLNK), primary cutaneous ALCL (ALCL-Cut), and hepatosplenic T-cell lymphoma (HSPTCL). All pt with MF had suspicion of extracutaneous disease. Overall 95/107 (89%) had a PET interpreted as positive by visual review. Standard uptake values (SUV) varied from 1.1–20.5 g/ml. Of the 12 pt with negative PET scans, 7(58%) had no evidence of disease on CT including PTCL (n=3, stage I resected), HSPTCL (n=2, liver, spleen, BM disease only), ALCL-Cut (n=2, skin only). T-cell Lymphoma-PET Results Histology N PET + % positive SUV Range (g/ml) ALL PT 107 95 89% 1.1–20.5 PTCL 27 24 88% 2–20 AILT 19 16 84% 2–11.7 ALCL− 12 12 100% 3–19.6 ALCL+ 4 4 100% 4–12 MF 12 10 83% 1.8–17.6 SPTCL 8 8 100% 1.4–13.1 ATL 5 5 100% 2.9–19.7 NK-Nas 5 5 100% 3.4–13.1 LL 3 3 100% 5.5–20.5 EATCL 3 3 100% 3.5–9.9 ALCL-Cut 5 3 60% 1.1–1.4 BLNK 2 2 100% 1.929.5 HSPTCL 2 0 0 N/A PET detected additional sites of disease in 34/107 (32%). These sites detected by PET were skin/subcut (n=9), bone (n=7), lymph node (n=6), spleen (n=3), nasopharynx/sinus (n=2), liver (n=2), BM (n=1), bowel (n=1), muscle (n=1), kidney (n=1), tonsil (n=1), testes (n=1). Three new malignancies were incidentally detected by PET including lung cancer (n=1), metastatic renal cell to the parotid (n=1), and mantle cell lymphoma (n=1 in a pt with ALCL-cut). Despite these additional sites, stage was changed in only 10/107 (9%). We did not use negative PET to downstage. Sites resulting in higher stage included bone (n=3), lymph node (n=2), subcut/muscle (n=3), testes (n=1), liver (n=1). Skin lesions were noted on physical exam and therefore did not change stage. In conclusion, TCL are almost universally PET positive. PET often adds information by identifying extranodal disease. However, partly due to many pt being stage IV by other modalities, PET resulted in a change of stage in <10% of pt. PET may be particularly useful in assessing of skin sites. These data suggest that it may be beneficial to include PET in the response assessment of TCL, as has been proposed for DLBCL and HL in revised NHL response criteria.


2021 ◽  
Author(s):  
Aishwarya Iyer ◽  
Dylan Hennessey ◽  
Robert Gniadecki

Background Mature T-cell lymphomas (TCLs) are rare, clinically heterogeneous hematologic cancers of high medical need. TCLs have inferior prognosis compared with their B-cell counterparts, which is attributed to poor understanding of their pathogenesis. Based on phenotypic similarities between normal and neoplastic lymphocytes it has been assumed that TCLs develop in the periphery, directly from various subtypes of normal T-cells. Methods and findings To address the debated question of the cell of origin in TCLs we analyzed to identify the highly variable complementarity determining regions (CDR3) regions of T-cell receptor (TCR) to trace the clonal history of the T-cells. We have collected previously published whole genome -exome, and -transcriptome sequencing data from 574 TCL patients comprising five nodal lymphomas [anaplastic large cell lymphoma (n=67), peripheral T-cell lymphoma (PTCL, n=55), adult T-cell lymphoma/leukemia (n=135), natural killer T-cell lymphoma (NKCL, n=25), not specified/other (n=30)] and three extranodal, cutaneous T-cell lymphomas [mycosis fungoides (n=122), Sezary syndrome (n=130), and subcutaneous panniculitis like T-cell lymphoma (n=10)]. TCR clonotypes contained in the tumor cell fraction, representing the clonotypes of malignant cells, were identified by de novo assembly of CDR3 regions of TCRγ, β and α. We have found that the vast majority of TCLs are clonotypically oligoclonal, although the pattern oligoclonality varied. Anaplastic large cell lymphoma was most diverse comprising multiple clonotypes of TCRγ, β and α whereas adult T-cell lymphoma/leukemia and peripheral T-cell lymphomas often showed monoclonality for TCRγ and β but had diverse TCRα clonotypes. These patterns of rearrangements were not compatible with the current mature T-cell precursor model and indicated that TCLs are initiated at the level of the lymphoid precursor. In keeping with this hypothesis, TCR rearrangements in TCLs resembled the pattern seen in the human thymus showing biased usage of V and J segments of high combinatorial probability resulting in recurrent, public CDR3 sequences shared between unrelated patients and across different clinical TCL entities. Frequencies of malignant clonotypes followed Zipf-Mandelbrot scaling law suggesting that TCLs comprise an interconnected system of expanding tumor clones. The major limitation of this study is that it is based on the analysis of the TCR clonotypes and does not directly inform about developmental trajectories of cellular clones. Conclusions Lymphoid precursors are the likely cells of origin for mature T-cell lymphomas. Anaplastic large cell lymphoma seems to be derived from the most immature precursors with germline TCR whereas peripheral T-cell lymphoma and adult T-cell lymphoma/leukemia map to the later stages after TCR lower case Greek beta rearrangement stage. Clonotypically diverse initiating cells may seed target tissues being responsible for disease relapses after therapy.


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