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首页> 外文期刊>Scientific reports. >Transcriptomic and functional network features of lung squamous cell carcinoma through integrative analysis of GEO and TCGA data
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Transcriptomic and functional network features of lung squamous cell carcinoma through integrative analysis of GEO and TCGA data

机译：通过GEO和TCGA数据的综合分析，肺鳞癌的转录组和功能网络特征

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Lung squamous cell carcinoma (LUSC) is associated with poor clinical prognosis and lacks available targeted therapy. Novel molecules are urgently required for the diagnosis and prognosis of LUSC. Here, we conducted our data mining analysis for LUSC by integrating the differentially expressed genes acquired from Gene Expression Omnibus (GEO) database by comparing tumor tissues versus normal tissues (GSE8569, GSE21933, GSE33479, GSE33532, GSE40275, GSE62113, GSE74706) into The Cancer Genome Atlas (TCGA) database which includes 502 tumors and 49 adjacent non-tumor lung tissues. We identified intersections of 129 genes (91 up-regulated and 38 down-regulated) between GEO data and TCGA data. Based on these genes, we conducted our downstream analysis including functional enrichment analysis, protein-protein interaction, competing endogenous RNA (ceRNA) network and survival analysis. This study may provide more insight into the transcriptomic and functional features of LUSC through integrative analysis of GEO and TCGA data and suggests therapeutic targets and biomarkers for LUSC.
机译：肺鳞状细胞癌（LUSC）与临床预后不良有关，并且缺乏可用的靶向治疗。 LUSC的诊断和预后迫切需要新型分子。在这里，我们通过比较从肿瘤组织与正常组织（GSE8569，GSE21933，GSE33479，GSE33532，GSE40275，GSE62113，GSE74706）比较的基因组织和基因表达综合（GEO）数据库中获得的差异表达基因，对LUSC进行了数据挖掘分析。基因组图谱（TCGA）数据库，其中包括502个肿瘤和49个相邻的非肿瘤肺组织。我们确定了GEO数据和TCGA数据之间的129个基因（91个上调和38个下调）的交集。基于这些基因，我们进行了下游分析，包括功能富集分析，蛋白质-蛋白质相互作用，竞争性内源RNA（ceRNA）网络和生存分析。这项研究可能通过对GEO和TCGA数据的综合分析来提供LUSC的转录组和功能特征的更多见解，并提出LUSC的治疗靶标和生物标记物。

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