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基于网络识别与口腔黏膜下纤维化相关的标志性基因KLF6和SPOCK1

Network-based identification of signature genes KLF6 and SPOCK1 associated with oral submucous fibrosis.

作者信息

Singh Prithvi, Rai Arpita, Dohare Ravins, Arora Shweta, Ali Sher, Parveen Shama, Syed Mansoor Ali

机构信息

Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi 110025, India.

Department of Oral Medicine and Radiology, Faculty of Dentistry, Jamia Millia Islamia, New Delhi 110025, India.

出版信息

Mol Clin Oncol. 2020 Apr;12(4):299-310. doi: 10.3892/mco.2020.1991. Epub 2020 Jan 30.

DOI:10.3892/mco.2020.1991
PMID:32190310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7058035/
Abstract

The molecular mechanism of oral submucous fibrosis (OSF) is yet to be fully elucidated. The identification of reliable signature genes to screen patients with a high risk of OSF and to provide oral cancer surveillance is therefore required. The present study produced a filtering criterion based on network characteristics and principal component analysis, and identified the genes that were involved in OSF prognosis. Two gene expression datasets were analyzed using meta-analysis, the results of which revealed 1,176 biologically significant genes. A co-expression network was subsequently constructed and weighted gene modules were detected. The pathway and functional enrichment analyses of the present study allowed for the identification of modules 1 and 2, and their respective genes, SPARC (osteonectin), cwcv and kazal like domain proteoglycan 1 (SPOCK1) and kruppel like factor 6 (KLF6), which were involved in the occurrence of OSF. The results revealed that both genes had a prominent role in epithelial to mesenchymal transition during OSF progression. The genes identified in the present study require further exploration and validation within clinical settings to determine their roles in OSF.

摘要

口腔黏膜下纤维化(OSF)的分子机制尚未完全阐明。因此,需要鉴定可靠的特征基因,以筛选出OSF高风险患者并提供口腔癌监测。本研究基于网络特征和主成分分析制定了筛选标准,并鉴定了与OSF预后相关的基因。使用荟萃分析对两个基因表达数据集进行分析,结果揭示了1176个具有生物学意义的基因。随后构建了共表达网络并检测了加权基因模块。本研究的通路和功能富集分析确定了模块1和模块2及其各自的基因,即富含半胱氨酸的酸性分泌蛋白(骨连接蛋白,SPARC)、含连续半胱氨酸和Kazal样结构域蛋白聚糖1(SPOCK1)和 Kruppel样因子6(KLF6),这些基因参与了OSF的发生。结果显示,这两个基因在OSF进展过程中的上皮-间质转化中均发挥着重要作用。本研究中鉴定出的基因需要在临床环境中进一步探索和验证,以确定它们在OSF中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/4bb0313c3b04/mco-12-04-0299-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/23ab7645d2d2/mco-12-04-0299-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/fcab60c63f46/mco-12-04-0299-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/ac181be62d1b/mco-12-04-0299-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/6f95083c9748/mco-12-04-0299-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/edd34733d127/mco-12-04-0299-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/4bb0313c3b04/mco-12-04-0299-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/23ab7645d2d2/mco-12-04-0299-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/fcab60c63f46/mco-12-04-0299-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/ac181be62d1b/mco-12-04-0299-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/6f95083c9748/mco-12-04-0299-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/edd34733d127/mco-12-04-0299-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fc2/7058035/4bb0313c3b04/mco-12-04-0299-g05.jpg

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2
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3
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4
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5
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10
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