A B Cell Lymphoma Line, BALL-1 Stimulates T Cells to Produce a Unique Eosinophil Chemotactic Factor

1994 ◽  
Vol 104 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Naoko Yoshida ◽  
Mika Ueno ◽  
Naoki Saita ◽  
Mitsuomi Hirashima
1993 ◽  
Vol 36 (3) ◽  
pp. 273-281 ◽  
Author(s):  
M HIRASHIMA ◽  
M UENO ◽  
N SAITA ◽  
S TAKAMURA ◽  
K WATANABE ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Selin Merdan ◽  
Kritika Subramanian ◽  
Turgay Ayer ◽  
Johan Van Weyenbergh ◽  
Andres Chang ◽  
...  

AbstractThe clinical risk stratification of diffuse large B-cell lymphoma (DLBCL) relies on the International Prognostic Index (IPI) for the identification of high-risk disease. Recent studies suggest that the immune microenvironment plays a role in treatment response prediction and survival in DLBCL. This study developed a risk prediction model and evaluated the model’s biological implications in association with the estimated profiles of immune infiltration. Gene-expression profiling of 718 patients with DLBCL was done, for which RNA sequencing data and clinical covariates were obtained from Reddy et al. (2017). Using unsupervised and supervised machine learning methods to identify survival-associated gene signatures, a multivariable model of survival was constructed. Tumor-infiltrating immune cell compositions were enumerated using CIBERSORT deconvolution analysis. A four gene-signature-based score was developed that separated patients into high- and low-risk groups. The combination of the gene-expression-based score with the IPI improved the discrimination on the validation and complete sets. The gene signatures were successfully validated with the deconvolution output. Correlating the deconvolution findings with the gene signatures and risk score, CD8+ T-cells and naïve CD4+ T-cells were associated with favorable prognosis. By analyzing the gene-expression data with a systematic approach, a risk prediction model that outperforms the existing risk assessment methods was developed and validated.


2021 ◽  
Vol 14 (9) ◽  
pp. 101170
Author(s):  
Vera Bauer ◽  
Fatima Ahmetlić ◽  
Nadine Hömberg ◽  
Albert Geishauser ◽  
Martin Röcken ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Gary Kwok Cheong Lee ◽  
Dorothee Bienzle ◽  
Stefan Matthias Keller ◽  
Mei-Hua Hwang ◽  
Nikos Darzentas ◽  
...  

Abstract Background Lymphocytic neoplasms with frequent reactive lymphocytes are uncommonly reported in dogs, and can pose a diagnostic challenge. Different diagnostic modalities such as cytology, flow cytometry, histopathology, immunohistochemistry, and clonality testing, are sometimes required for a diagnosis. This report illustrates the value of using a multi-modal diagnostic approach to decipher a complex lymphocytic tumor, and introduces immune repertoire sequencing as a diagnostic adjunct. Case presentation A 10-month-old Great Dane was referred for marked ascites. Cytologic analysis of abdominal fluid and hepatic aspirates revealed a mixed lymphocyte population including numerous large lymphocytes, yielding a diagnosis of lymphoma. Flow cytometrically, abdominal fluid lymphocytes were highly positive for CD4, CD5, CD18, CD45, and MHC II, consistent with T cell lymphoma. Due to a rapidly deteriorating clinical condition, the dog was euthanized. Post mortem histologic evaluation showed effacement of the liver by aggregates of B cells surrounded by T cells, suggestive of hepatic T cell-rich large B cell lymphoma. Immune repertoire sequencing confirmed the presence of clonal B cells in the liver but not the abdominal fluid, whereas reactive T cells with shared, polyclonal immune repertoires were found in both locations. Conclusions T cell-rich large B cell lymphoma is a rare neoplasm in dogs that may be challenging to diagnose and classify due to mixed lymphocyte populations. In this case, the results of histopathology, immunohistochemistry and immune repertoire sequencing were most consistent with a hepatic B cell neoplasm and reactive T cells exfoliating into the abdominal fluid. Immune repertoire sequencing was helpful in delineating neoplastic from reactive lymphocytes and characterizing repertoire overlap in both compartments. The potential pitfalls of equating atypical cytomorphology and monotypic marker expression in neoplasia are highlighted.


1984 ◽  
Vol 12 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Masaru Nishikori ◽  
Herbert Hansen ◽  
Suresh Jhanwar ◽  
Jerrold Fried ◽  
Peter Sordillo ◽  
...  

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