BACKGROUND: Genetic mechanisms that result in the development and progression of B-cell chronic lymphocytic leukemia (B-CLL) are mainly unknown. We have analyzed gene expression patterns in Ukrainian B-CLL patients with the aim of identifying B-CLL involved / associated genes in order to shed light on the biology of this pathological entity. MATERIAL AND METHODS: The samples of the peripheral blood and bone marrow of 44 Ukrainian B-CLL patients with no characteristics indicative of unfavorable course of the disease such as CD38 were analyzed morphologically and immunocytochemically according to the new WHO classification. Total RNA was isolated, and gene expression levels were determined by microarray method comparing with the sample from 17 healthy donors. RESULTS: We investigated interactions using the Ingenuity Pathway Analysis (IPA) software and found 1191 network eligible up-regulated genes and 3398 Functions/Pathways eligible up-regulated genes, 1225 network eligible down-regulated genes and 2657 Functions/Pathways eligible down-regulated genes. CONCLUSION: In B-CLL patients, gene networks around MYC, HNF1A and HNF4A, YWHAG, NF-κB1 and SP1 are identified as up-regulated; CEBPA, YWHAG, SATB1 and RB1 -- as down-regulated. G protein coupled receptor signaling, arachidonic acid and linoleic acid metabolisms, calcium signaling, metabolism of xenobiotics by cytochrome P450 are found out as significant up-regulated pathways. EIF2 and Cdc42 signaling, regulation of eIF4 and p70S6k signaling, protein ubiquitination pathway and oxidative phosphorylation are the most significant down-regulated pathways obtained in our study. The involvement of NF-κB gene network and upregulated levels of G protein coupled receptor signaling pathway, which has an important role in transcription of NF-κB, are important and need further examination.
BACKGROUND: Genetic mechanisms that result in the development and progression of B-cell chronic lymphocytic leukemia (B-CLL) are mainly unknown. We have analyzed gene expression patterns in Ukrainian B-CLL patients with the aim of identifying B-CLL involved / associated genes in order to shed light on the biology of this pathological entity. MATERIAL AND METHODS: The samples of the peripheral blood and bone marrow of 44 Ukrainian B-CLL patients with no characteristics indicative of unfavorable course of the disease such as CD38 were analyzed morphologically and immunocytochemically according to the new WHO classification. Total RNA was isolated, and gene expression levels were determined by microarray method comparing with the sample from 17 healthy donors. RESULTS: We investigated interactions using the Ingenuity Pathway Analysis (IPA) software and found 1191 network eligible up-regulated genes and 3398 Functions/Pathways eligible up-regulated genes, 1225 network eligible down-regulated genes and 2657 Functions/Pathways eligible down-regulated genes. CONCLUSION: In B-CLL patients, gene networks around MYC, HNF1A and HNF4A, YWHAG, NF-κB1 and SP1 are identified as up-regulated; CEBPA, YWHAG, SATB1 and RB1 -- as down-regulated. G protein coupled receptor signaling, arachidonic acid and linoleic acid metabolisms, calcium signaling, metabolism of xenobiotics by cytochrome P450 are found out as significant up-regulated pathways. EIF2 and Cdc42 signaling, regulation of eIF4 and p70S6k signaling, protein ubiquitination pathway and oxidative phosphorylation are the most significant down-regulated pathways obtained in our study. The involvement of NF-κB gene network and upregulated levels of G protein coupled receptor signaling pathway, which has an important role in transcription of NF-κB, are important and need further examination.
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Authors: Ola Al-Sanabra; Andrew D Duckworth; Mark A Glenn; Benjamin R B Brown; Piera Angelillo; Kelvin Lee; John Herbert; Francesco Falciani; Nagesh Kalakonda; Joseph R Slupsky Journal: Sci Rep Date: 2017-02-24 Impact factor: 4.379
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Authors: Hakan Savlı; Ramis Ufuk Akkoyunlu; Naci Çine; Daniil F Gluzman; Michael P Zavelevich; Lilia M Sklyarenko; Stella V Koval; Deniz Sünnetçi Journal: Turk J Haematol Date: 2015-04-27 Impact factor: 1.831
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