Literature DB >> 16393687

D cyclins in CD5+ B-cell lymphoproliferative disorders: cyclin D1 and cyclin D2 identify diagnostic groups and cyclin D1 correlates with ZAP-70 expression in chronic lymphocytic leukemia.

Howard J Meyerson1, Grayden MacLennan, William Husel, Amy Cocco, William Tse, Hillard M Lazarus, David Kaplan.   

Abstract

We analyzed protein expression of cyclin D1, cyclin D2, and cyclin D3 using high-resolution enzymatic amplification staining and flow cytometry in the neoplastic cells from 80 patients with CD5+ B-cell lymphoproliferative disorders. The D cyclins were expressed differentially in chronic lymphocytic leukemia (CLL), prolymphocytic leukemia (PLL), and mantle cell lymphoma (MCL) with strong staining of cyclin D1 and D2 in MCL, strong staining of cyclin D1 but weak staining of cyclin D2 in 4 of 5 PLLs, and low-level staining for both cyclins in most CLLs. No correlation between cyclin D1 and D2 and growth rates or CD38 expression was observed. However, cyclin D1 levels were significantly higher in ZAP-70+ CLL cases, although no association between ZAP-70 and cyclin D2 was detected. The results indicate that flow cytometric analysis of D cyclins may help in classification of CD5+ B-cell lymphoproliferative disorders.

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Year:  2006        PMID: 16393687     DOI: 10.1309/7C2V-V961-P60R-MLHD

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  5 in total

1.  The expression of SOX11, cyclin D1, cyclin D2, and cyclin D3 in B-cell lymphocytic proliferative diseases.

Authors:  Xin Cao; Lei Fan; Cheng Fang; Dan-Xia Zhu; Hua-Jie Dong; Dong-Mei Wang; Yin-Hua Wang; Wei Xu; Jian-Yong Li
Journal:  Med Oncol       Date:  2011-04-09       Impact factor: 3.064

2.  Prognostic information and biological insights in chronic lymphocytic leukemia by high-resolution immunophenotypic analysis of ZAP70.

Authors:  David Kaplan; Zhuoxin Sun; Martin S Tallman; Ian W Flinn; Wenbin Xiao; Paolo F Caimi; Nicholas M Kaye; Hillard M Lazarus
Journal:  Cytometry A       Date:  2014-05-20       Impact factor: 4.355

3.  Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma.

Authors:  Habil Zare; Ali Bashashati; Robert Kridel; Nima Aghaeepour; Gholamreza Haffari; Joseph M Connors; Randy D Gascoyne; Arvind Gupta; Ryan R Brinkman; Andrew P Weng
Journal:  Am J Clin Pathol       Date:  2012-01       Impact factor: 2.493

4.  Tyramide signal amplification for analysis of kinase activity by intracellular flow cytometry.

Authors:  Matthew R Clutter; Garrett C Heffner; Peter O Krutzik; Kacey L Sachen; Garry P Nolan
Journal:  Cytometry A       Date:  2010-11       Impact factor: 4.355

5.  Protein Biomarkers in Monocytes and CD4+ Lymphocytes for Predicting Lithium Treatment Response of Bipolar Disorder: a Feasibility Study with Tyramine-Based Signal-Amplified Flow Cytometry.

Authors:  Keming Gao; Marzieh Ayati; Mehmet Koyuturk; Joseph R Calabrese; Stephen J Ganocy; Nicholas M Kaye; Hillard M Lazarus; Eric Christian; David Kaplan
Journal:  Psychopharmacol Bull       Date:  2022-02-25
  5 in total

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