Yang Jun, Li Cuili, Zhou Jiaying, Liu Xiaoquan, Wang Shaohua
Department of Pediatrics, The University of Hong Kong-Shenzhen Hospital, ShenZhen, China.
Department of Pediatrics, Women and Children Health Institute of FuTian, University of South China, ShenZhen, China.
Front Genet. 2020 Feb 4;10:1408. doi: 10.3389/fgene.2019.01408. eCollection 2019.
BACKGROUND/AIMS: Leiomyosarcoma (LMS) is a tumor derived from malignant mesenchymal tissue associated with poor prognosis. Determining potential prognostic markers for LMS can provide clues for early diagnosis, recurrence, and treatment.
RNA sequence data and clinical features of 103 LMS were obtained from the Cancer Genome Atlas (TCGA) database. Application Weighted Gene Co-Expression Network Analysis (WGCNA) was used to construct a free-scale gene co-expression network, to study the interrelationship between its potential modules and clinical features, and to identify hub genes in the module. The hub gene function was verified by an external database.
Twenty-four co-expression modules were constructed using WGCNA. A dark red co-expression module was found to be significantly associated with disease recurrence. Functional enrichment analysis and GEPIA and ONCOMINE database analyses demonstrated that hub genes CDK4, CCT2, and MGAT1 may play an important role in LMS recurrence.
Our study constructed an LMS co-expressing gene module and identified prognostic markers for LMS recurrence detection and treatment.
背景/目的：平滑肌肉瘤（LMS）是一种源自恶性间充质组织的肿瘤，预后较差。确定LMS的潜在预后标志物可为早期诊断、复发及治疗提供线索。
从癌症基因组图谱（TCGA）数据库获取103例LMS的RNA序列数据和临床特征。应用加权基因共表达网络分析（WGCNA）构建无标度基因共表达网络，研究其潜在模块与临床特征之间的相互关系，并识别模块中的枢纽基因。通过外部数据库验证枢纽基因功能。
使用WGCNA构建了24个共表达模块。发现一个深红色共表达模块与疾病复发显著相关。功能富集分析以及GEPIA和ONCOMINE数据库分析表明，枢纽基因CDK4、CCT2和MGAT1可能在LMS复发中起重要作用。
我们的研究构建了LMS共表达基因模块，并识别出用于LMS复发检测和治疗的预后标志物。
