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与伯基特淋巴瘤诊断和预后相关的基因。

Genes associated with diagnosis and prognosis of Burkitt lymphoma.

机构信息

Department of Biochemistry and Biotechnology, College of Science, Faculty of Biosciences, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.

Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR), Kumasi, Ghana.

出版信息

IET Syst Biol. 2022 Dec;16(6):220-229. doi: 10.1049/syb2.12054. Epub 2022 Nov 10.

Abstract

Burkitt lymphoma (BL) is one of the most aggressive forms of non-Hodgkin's lymphomas that affect children and young adults. The expression of genes and other molecular markers during carcinogenesis can be the basis for diagnosis, prognosis and the design of new and effective drugs for the management of cancers. The aim of this study was to identify genes that can serve as prognostic and therapeutic targets for BL. We analysed RNA-seq data of BL transcriptome sequencing projects in Africa using standard RNA-seq analyses pipeline. We performed pathway enrichment analyses, protein-protein interaction networks, gene co-expression and survival analyses. Gene and pathway enrichment analyses showed that the differentially expressed genes are involved in tube development, signalling receptor binding, viral protein interaction, cell migration, external stimuli response, serine hydrolase activity and PI3K-Akt signalling pathway. Protein-protein interaction network analyses revealed the genes to be highly interconnected, whereas module analyses revealed 25 genes to possess the highest interaction score. Overall survival analyses delineated six genes (ADAMTSL4, SEMA5B, ADAMTS15, THBS2, SPON1 and THBS1) that can serve as biomarkers for prognosis for BL management.

摘要

伯基特淋巴瘤(BL)是影响儿童和青年的最具侵袭性的非霍奇金淋巴瘤之一。致癌过程中基因和其他分子标记物的表达可以作为诊断、预后和设计新的有效癌症治疗药物的基础。本研究旨在确定可作为 BL 预后和治疗靶点的基因。我们使用标准 RNA-seq 分析流程分析了非洲 BL 转录组测序项目的 RNA-seq 数据。我们进行了通路富集分析、蛋白质-蛋白质相互作用网络、基因共表达和生存分析。基因和通路富集分析表明,差异表达的基因参与管发育、信号受体结合、病毒蛋白相互作用、细胞迁移、外部刺激反应、丝氨酸水解酶活性和 PI3K-Akt 信号通路。蛋白质-蛋白质相互作用网络分析表明基因之间高度相互关联,而模块分析表明 25 个基因具有最高的相互作用评分。总生存分析描绘了 6 个基因(ADAMTSL4、SEMA5B、ADAMTS15、THBS2、SPON1 和 THBS1)可作为 BL 管理预后的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fbb/9675412/411577986b93/SYB2-16-220-g006.jpg

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