Literature DB >> 28735665

Prevalence of FoxP3+ Cells Does Not Correlate With Ki67 Expression in Canine Diffuse Large B-cell Lymphoma.

C F Muir1, S L Priestnall2, A Hibbert3, C Brown4, O A Garden5, T Scase4.   

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common type of canine lymphoma and survival times are currently <1 year. Manipulation of the tumour microenvironment, of which the regulatory T cell (Treg) is a principal player, represents a potentially exciting way to curb the rapid proliferation of neoplastic cells. Tregs, characterized by the stable expression of the transcription factor FoxP3, suppress innate and adaptive arms of the immune response and represent a potential therapeutic target within neoplastic lymph nodes. This retrospective study explored the hypothesis that Tregs promote the proliferation of neoplastic large B cells, employing immunohistochemistry to assess both FoxP3 and Ki67 expression within canine lymph nodes. Fifty-seven biopsy samples of canine nodal DLBCL were examined. There were significantly fewer FoxP3+ cells in lymph nodes effaced by DLBCL than in reactive lymph nodes (27 versus 369 cells/mm2; Mann-Whitney U = 16, P = 0.011). There was no relationship between the number of intratumoural FoxP3+ cells and neoplastic cell proliferation (Spearman's rank r = 0.058, P = 0.670, 95% confidence interval). The results of this study show that FoxP3+ cells are reduced in lymph nodes effaced by DLBCL and that this change is unrelated to the expression of Ki67. This study also describes a robust digital method to standardize cell counts and facilitate future comparative studies. Crown
Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  B-cell lymphoma; FoxP3; dog; regulatory T cell

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Year:  2017        PMID: 28735665     DOI: 10.1016/j.jcpa.2017.03.010

Source DB:  PubMed          Journal:  J Comp Pathol        ISSN: 0021-9975            Impact factor:   1.311


  1 in total

1.  Mutational landscape of canine B-cell lymphoma profiled at single nucleotide resolution by RNA-seq.

Authors:  Diana Giannuzzi; Laura Marconato; Luciano Cascione; Stefano Comazzi; Ramy Elgendy; Sara Pegolo; Alessio Cecchinato; Francesco Bertoni; Luca Aresu; Serena Ferraresso
Journal:  PLoS One       Date:  2019-04-24       Impact factor: 3.240

  1 in total

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