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Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling

机译:基因表达分析鉴定肺腺癌与肺鳞状细胞癌的差异表达基因

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The present study aimed to identify the differentially expressed genes (DEGs) between lung adenocarcinoma and normal lung tissues, and between lung squamous cell carcinoma and normal lung tissues, with the purpose of identifying potential biomarkers for the treatment of lung cancer. The gene expression profile (GSE6044) was downloaded from the Gene Expression Omnibus database, which included data from 10 lung adenocarcinoma samples, 10 lung squamous cell carcinoma samples, and five matched normal lung tissue samples. After data processing, DEGs were identified using the Student's t-test adjusted via the Benjamini-Hochberg method. Subsequently, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of the DEGs was performed using the Database for Annotation, Visualization and Integrated Discovery, and a global network was constructed. A total of 95 upregulated and 241 downregulated DEGs were detected in lung adenocarcinoma samples, and 204 upregulated and 285 downregulated DEGs were detected in lung squamous cell carcinoma samples, as compared with the normal lung tissue samples. The DEGs in the lung squamous cell carcinoma group were enriched in the following three pathways: Hsa04110, Cell cycle; hsa03030, DNA replication; and hsa03430, mismatch repair. However, the DEGs in the lung adenocarcinoma group were not significantly enriched in any specific pathway. Subsequently, a global network of lung cancer was constructed, which consisted of 341 genes and 1,569 edges, of which the top five genes were HSP90AA1, BCL2, CDK2, KIT and HDAC2. The expression trends of the above genes were different in lung adenocarcinoma and lung squamous cell carcinoma when compared with normal tissues. Therefore, these genes were suggested to be crucial genes for differentiating lung adenocarcinoma and lung squamous cell carcinoma.
机译:本研究旨在鉴定肺腺癌和正常肺组织之间的差异表达基因(DEG),以及肺鳞状细胞癌和正常肺组织之间的目的,目的是鉴定潜在的生物标志物治疗肺癌。从基因表达Omnibus数据库下载基因表达谱(GSE6044),其中包括来自10个肺腺癌样品的数据,10个肺鳞状细胞癌样品和五种匹配的正常肺组织样品。在数据处理之后,使用通过Benjamini-Hochberg方法调整的学生的T检验来识别DEG。随后,使用数据库进行注释,可视化和集成发现,进行京都基因群和基因组途径浓缩分析,并建造了全球网络。与正常的肺组织样品相比,总共检测到在肺腺癌样品中检测到肺腺癌样品中的95个上调和241个下调的次数在肺鳞状细胞癌样品中检测到204个上调和285个下调的次数。肺鳞状细胞癌组中的含量富集在以下三种途径:HSA04110,细胞周期; HSA03030,DNA复制;和HSA03430,不匹配修复。然而,在任何特定途径中,肺腺癌组中的含量没有显着富集。随后,构建了一种全球肺癌网络,其由341个基因和1,569个边缘组成,其中前五个基因是HSP90AA1,BCL2,CDK2,试剂盒和HDAC2。与正常组织相比,上述基因的表达趋势在肺腺癌和肺鳞状细胞癌中不同。因此,建议这些基因是分化肺腺癌和肺鳞状细胞癌的关键基因。

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