Li Wei, Li Na, Gao Lina, You Chongge
Laboratory Medicine Center, Lanzhou University Second Hospital, Langzhou, China.
Department of Pathology, the First Affiliated Hospital of Hunan University of Medicine, Huaihua, China.
PeerJ. 2020 Feb 6;8:e8509. doi: 10.7717/peerj.8509. eCollection 2020.
Lung cancer is the top cause of carcinoma-associated deaths worldwide. RNA binding proteins (RBPs) dysregulation has been reported in various malignant tumors, and that dysregulation is closely associated with tumorigenesis and tumor progression. However, little is known about the roles of RBPs in lung adenocarcinoma (LUAD). In this study, we downloaded the RNA sequencing data of LUAD from The Cancer Genome Atlas (TCGA) database and determined the differently expressed RBPs between normal and cancer tissues. We then performed an integrative analysis to explore the expression and prognostic significance of these RBPs. A total of 164 differently expressed RBPs were identified, including 40 down-regulated and 124 up-regulated RBPs. Pathway and Gene ontology (GO) analysis indicated that the differently expressed RBPs were mainly related to RNA processing, RNA metabolic process, RNA degradation, RNA transport, splicing, localization, regulation of translation, RNA binding, TGF-beta signaling pathway, mRNA surveillance pathway, and aminoacyl-tRNA biosynthesis. Survival analysis revealed that the high expression of or or or or or were associated with poor overall survival (OS). Conversely, overexpression of / predicted high OS in these patients. ROC curve analysis showed that the eight hub genes with a better diagnostic accuracy to distinguish lung adenocarcinoma. The results provided novel insights into the pathogenesis of LUAD and the development of treatment targets and prognostic molecular markers.
肺癌是全球范围内与癌症相关死亡的首要原因。RNA结合蛋白(RBPs)失调在各种恶性肿瘤中均有报道,且这种失调与肿瘤发生和肿瘤进展密切相关。然而,关于RBPs在肺腺癌(LUAD)中的作用知之甚少。在本研究中,我们从癌症基因组图谱(TCGA)数据库下载了LUAD的RNA测序数据,并确定了正常组织和癌组织之间差异表达的RBPs。然后,我们进行了综合分析以探究这些RBPs的表达及预后意义。共鉴定出164个差异表达的RBPs,其中包括40个下调的和124个上调的RBPs。通路和基因本体(GO)分析表明,差异表达的RBPs主要与RNA加工、RNA代谢过程、RNA降解、RNA转运、剪接、定位、翻译调控、RNA结合、TGF-β信号通路、mRNA监测通路以及氨酰-tRNA生物合成有关。生存分析显示, 或 或 或 或 或 的高表达与总体生存(OS)较差相关。相反,在这些患者中, / 的过表达预示着高OS。ROC曲线分析表明,这八个枢纽基因在区分肺腺癌方面具有更好的诊断准确性。这些结果为LUAD的发病机制以及治疗靶点和预后分子标志物的开发提供了新的见解。