Li J, Shi R, Yu P
Department of Lung Tumor, Sichuan Cancer Hospital, Chengdu, Sichuan Province, China.
Eur Rev Med Pharmacol Sci. 2014;18(1):126-31.
Gene expression profiles of peripheral blood monocytes from patients with non-small cell lung cancer (NSCLC) before and after chemotherapy were used to investigate the effect of chemotherapy on gene expression.
Microarray dataset GSE39345 was downloaded from Gene Expression Omnibus, including 32 NSCLC samples before chemotherapy, 17 NSCLC samples after chemotherapy and 20 healthy samples. Raw data pretreatment and differentially expressed genes (DEGs) analysis between health and NSCLC samples before chemotherapy, health and NSCLC samples after chemotherapy were performed with packages of R. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was done for the common DEGs with WebGestalt to investigate their underlying function.
A total of 904 DEGs were identified in health vs. NSCLC samples before chemotherapy and 2148 in health vs. NSCLC samples after chemotherapy. Further, they were divided into three sets: 584 common DEGs, 320 unique DEGs (health vs NSCLC samples before chemotherapy), and 1564 unique DEGs (health vs NSCLC samples after chemotherapy). Function enrichment analysis showed that these common DEGs were associated with cell cycle and cell differentiation.
Chemotherapy could not completely reverse the lung cancer development because several cell growth-related genes are still present even after chemotherapy.
利用非小细胞肺癌（NSCLC）患者化疗前后外周血单核细胞的基因表达谱来研究化疗对基因表达的影响。
从基因表达综合数据库下载微阵列数据集GSE39345，包括32例化疗前的NSCLC样本、17例化疗后的NSCLC样本和20例健康样本。使用R软件包对原始数据进行预处理，并分析化疗前健康样本与NSCLC样本、化疗后健康样本与NSCLC样本之间的差异表达基因（DEG）。利用WebGestalt对共同的DEG进行京都基因与基因组百科全书（KEGG）通路富集分析，以研究其潜在功能。
化疗前健康样本与NSCLC样本之间共鉴定出904个DEG，化疗后健康样本与NSCLC样本之间共鉴定出2148个DEG。进一步将它们分为三组：584个共同的DEG、320个独特的DEG（化疗前健康样本与NSCLC样本）和1564个独特的DEG（化疗后健康样本与NSCLC样本）。功能富集分析表明，这些共同的DEG与细胞周期和细胞分化相关。
化疗不能完全逆转肺癌的发展，因为即使在化疗后仍存在一些与细胞生长相关的基因。
