Bao Minwei, Jiang Gening
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Yangpu, Shanghai 200433, P.R. China.
Oncol Lett. 2019 Jul;18(1):776-782. doi: 10.3892/ol.2019.10362. Epub 2019 May 15.
There is an inherent need to identify differentially expressed genes (DEGs), characterize these genes and provide functional enrichment analysis to the publicly available lung cancer datasets, primarily coming from next-generation sequencing data or microarray gene expression studies. The risk of lung cancer in patients with smokers is manifold, and with chronic obstructive pulmonary disease (COPD) it is 2- to 5-fold greater, compared with smokers without COPD. In the present study, differential expression analysis and gene functional enrichment analysis of lung cancer gene expression datasets obtained from NCBI-GEO were performed. The result identifies a significant number of DEGs which have at least a 2-fold change in their expression. Among them, six genes were found to have a 4-fold change in the expression level, and 47 genes exhibited a 3-fold change in the expression. It was also observed that most of the genes were upregulated and few genes were downregulated.
有必要对公开可用的肺癌数据集进行差异表达基因（DEG）鉴定、这些基因的特征描述以及功能富集分析，这些数据集主要来自下一代测序数据或微阵列基因表达研究。吸烟者患肺癌的风险是多方面的，与无慢性阻塞性肺疾病（COPD）的吸烟者相比，患有COPD的吸烟者患肺癌的风险要高2至5倍。在本研究中，对从NCBI-GEO获得的肺癌基因表达数据集进行了差异表达分析和基因功能富集分析。结果鉴定出大量差异表达基因，其表达至少有2倍的变化。其中，发现六个基因的表达水平有4倍的变化，47个基因的表达有3倍的变化。还观察到大多数基因上调，少数基因下调。
