Department of Biochemistry and Biophysics, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Department of Thoracic Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Am J Med Sci. 2020 Dec;360(6):701-710. doi: 10.1016/j.amjms.2020.08.025. Epub 2020 Aug 22.
Lung squamous cell carcinoma (LUSC) accounts up for approximately 30% of all lung cancers with a high mortality. The study was aimed at finding genes critical in the diagnosis and prognosis of LUSC.
The differentially expressed (DE) genes (DEGs) and DE lncRNAs (DELs) from 501 LUSC and 49 normal lung tissues, and DE miRNAs (DEMs) from 478 LUSC and 45 normal lung tissues were respectively obtained via the TCGA database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and co-expression network analyses were performed. Survival analysis and receiver operating characteristic curve of hub mRNAs were also analyzed. Competitive endogenous RNA networks of lncRNAs, miRNAs and mRNAs were constructed.
A total of 5747 DEGs, 378 DEMs and 3141 DELs in LUSC were identified in LUSC. The DEGs including AUARK, CDK1, KIF11 and EXO1 were proven to be significant metastatic indicators in LUSC, and 2 DEGs were significantly associated with the survival in LUSC patients. Some genes might have connections with many other gene nodes through a co-expression network. Four lncRNAs, 2 mRNAs and 2 miRNAs were identified as the candidates for the competitive miRNA-mRNA-lncRNA network and might serve as prognostic markers in LUSC.
We identified the differentially expressed lncRNAs, miRNAs and mRNAs in LUSC, providing further insights into the molecular mechanism of LUSC tumorigenesis and the potential prognostic biomarkers or therapeutic targets for LUSC.
肺鳞状细胞癌（LUSC）约占所有肺癌的 30%，死亡率较高。本研究旨在寻找对 LUSC 诊断和预后有重要意义的基因。
通过 TCGA 数据库分别获得了 501 例 LUSC 和 49 例正常肺组织的差异表达基因（DEGs）和差异表达长链非编码 RNA（DELs），以及 478 例 LUSC 和 45 例正常肺组织的差异表达 miRNA（DEMs）。进行了基因本体论（GO）、京都基因与基因组百科全书（KEGG）通路和共表达网络分析。还进行了关键 mRNA 的生存分析和接受者操作特征曲线分析。构建了 lncRNA、miRNA 和 mRNA 的竞争性内源性 RNA 网络。
在 LUSC 中鉴定出 5747 个 DEGs、378 个 DEMs 和 3141 个 DELs。DEGs 包括 AUARK、CDK1、KIF11 和 EXO1，被证明是 LUSC 中重要的转移性指标，有 2 个 DEGs与 LUSC 患者的生存显著相关。一些基因可能通过共表达网络与许多其他基因节点有联系。确定了 4 个 lncRNA、2 个 mRNA 和 2 个 miRNA 作为竞争性 miRNA-mRNA-lncRNA 网络的候选物，可能作为 LUSC 的预后标志物。
我们鉴定了 LUSC 中差异表达的 lncRNA、miRNA 和 mRNA，为进一步了解 LUSC 肿瘤发生的分子机制以及 LUSC 的潜在预后生物标志物或治疗靶点提供了依据。
