Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Department of Endocrinology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Biomed Res Int. 2020 Feb 5;2020:3876834. doi: 10.1155/2020/3876834. eCollection 2020.
Pheochromocytoma/paraganglioma (PCPG) is a benign neuroendocrine neoplasm in most cases, but metastasis and other malignant behaviors can be observed in this tumor. The aim of this study was to identify genes associated with the metastasis of PCPG.
The Cancer Genome Atlas (TCGA) expression profile data and clinical information were downloaded from the cbioportal, and the weighted gene coexpression network analysis (WGCNA) was conducted. The gene coexpression modules were extracted from the network through the WGCNA package of R software. We further extracted metastasis-related modules of PCPG. Enrichment analysis of Biological Process of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes was carried out for important modules, and survival analysis of hub genes in the modules was performed.
A total of 168 PCPG samples were included in this study. The weighted gene coexpression network was constructed with 5125 genes of the top 25% variance among the 20501 genes obtained from the database. We identified 11 coexpression modules, among which the salmon module was associated with the age of PCPG patients at diagnosis, metastasis, and malignancy of the tumors.
WGCNA was performed to identify the gene coexpression modules and hub genes in the metastasis-related gene module of PCPG. The findings in this study provide a new clue for further study of the mechanisms underlying the PCPG metastasis.
嗜铬细胞瘤/副神经节瘤（PCPG）在大多数情况下是良性神经内分泌肿瘤，但在这种肿瘤中也可以观察到转移和其他恶性行为。本研究旨在鉴定与 PCPG 转移相关的基因。
从 cbioportal 下载癌症基因组图谱（TCGA）表达谱数据和临床信息，并进行加权基因共表达网络分析（WGCNA）。通过 R 软件的 WGCNA 包从网络中提取基因共表达模块。我们进一步提取 PCPG 的转移相关模块。对重要模块进行基因本体论生物过程和京都基因与基因组百科全书的富集分析，并对模块中的枢纽基因进行生存分析。
本研究共纳入 168 例 PCPG 样本。用数据库中 20501 个基因中前 25%方差的 5125 个基因构建加权基因共表达网络。我们鉴定出 11 个共表达模块，其中鲑鱼模块与 PCPG 患者诊断时的年龄、转移和肿瘤的恶性程度相关。
通过 WGCNA 鉴定 PCPG 转移相关基因模块中的基因共表达模块和枢纽基因。本研究的结果为进一步研究 PCPG 转移的机制提供了新的线索。
