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通过加权基因共表达网络分析构建的共表达模块表明,泛素介导的蛋白水解是葡萄膜黑色素瘤的一种潜在生物标志物。

Coexpression modules constructed by weighted gene co-expression network analysis indicate ubiquitin-mediated proteolysis as a potential biomarker of uveal melanoma.

作者信息

Yang Meng, Wan Qi, Hu Xiang, Yin Haitao, Hao Dawei, Wu Chengjun, Li Jianmin

机构信息

Department of Dermatology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530031, P.R. China.

Department of Ophthalmology, The People's Hospital of Leshan, Leshan, Sichuan 614000, P.R. China.

出版信息

Exp Ther Med. 2019 Jan;17(1):237-243. doi: 10.3892/etm.2018.6945. Epub 2018 Nov 9.

Abstract

Uveal melanoma (UM) is a tumor that affects individuals throughout the world. Although gene expression analysis of UM has been performed previously, systemic co-expression analysis for this type of cancer remains lacking. Microarray data of UM samples was obtained from the Genome Expression Omnibus (dataset GSE44295). Co-expression modules were built by weighted gene co-expression network analysis. Functional enrichment analysis was performed on the co-expressed genes from important modules. Seven co-expression modules were constructed from the 5,000 genes gathered from the 58 human UM samples. The number of genes in these modules ranged from 73 to 3,051, with the mean number being 711. There was a marked difference in interactions among pairwise modules. Functional enrichment analysis demonstrated that module 2 was mainly enriched in pathways associated with the regulation of transcription. Additionally, modules 2-4 were significantly enriched in the ubiquitin mediated proteolysis pathway, suggesting it could serve a critical role in the occurrence and development of UM. The findings of the present study present a framework of co-expressed gene modules for human UM and provide an improved understanding of these modules at a functional level. Understanding the molecular mechanism and cellular pathways involved in pathogenesis of UM is extremely important for the development of more effective diagnostic and therapeutic strategies.

摘要

葡萄膜黑色素瘤(UM)是一种影响全球各地人群的肿瘤。尽管此前已对UM进行了基因表达分析,但针对此类癌症的系统性共表达分析仍然缺乏。UM样本的微阵列数据取自基因表达综合数据库(数据集GSE44295)。通过加权基因共表达网络分析构建共表达模块。对重要模块中的共表达基因进行功能富集分析。从58个人类UM样本收集的5000个基因中构建了7个共表达模块。这些模块中的基因数量从73到3051不等,平均数量为711。成对模块之间的相互作用存在显著差异。功能富集分析表明,模块2主要富集于与转录调控相关的通路。此外,模块2至4在泛素介导的蛋白水解通路中显著富集,表明其可能在UM的发生和发展中起关键作用。本研究结果提出了人类UM共表达基因模块的框架,并在功能层面上增进了对这些模块的理解。了解UM发病机制中涉及的分子机制和细胞通路对于开发更有效的诊断和治疗策略极为重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c87f/6307452/34145d445b0f/etm-17-01-0237-g00.jpg

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