Zhang Li, Lee J Jack, Tang Hongli, Fan You-Hong, Xiao Lianchun, Ren Hening, Kurie Jonathan, Morice Rodolfo C, Hong Waun Ki, Mao Li
Department of Bioinformatics. The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Cancer Prev Res (Phila). 2008 Jul;1(2):112-8. doi: 10.1158/1940-6207.CAPR-07-0017. Epub 2008 Mar 31.
Cigarette smoke is the major cause of lung cancer and can interact in complex ways with drugs for lung cancer prevention or therapy. Molecular genetic research promises to elucidate the biological mechanisms underlying divergent drug effects in smokers versus nonsmokers and to help in developing new approaches for controlling lung cancer. The present study compared global gene expression profiles (determined via Affymetrix microarray measurements in bronchial epithelial cells) between chronic smokers, former smokers, and never smokers. Smoking effects on global gene expression were determined from a combined analysis of three independent data sets. Differential expression between current and never smokers occurred in 591 of 13,902 measured genes (P < 0.01 and >2-fold change; pooled data)--a profound effect. In contrast, differential expression between current and former smokers occurred in only 145 of the measured genes (P < 0.01 and >2-fold change; pooled data). Nine of these 145 genes showed consistent and significant changes in each of the three data sets (P < 0.01 and >2-fold change), with eight being down-regulated in former smokers. Seven of the eight down-regulated genes, including CYP1B1 and three AKR genes, influence the metabolism of carcinogens and/or therapeutic/chemopreventive agents. Our data comparing former and current smokers allowed us to pinpoint the genes involved in smoking-drug interactions in lung cancer prevention and therapy. These findings have important implications for developing new targeted and dosing approaches for prevention and therapy in the lung and other sites, highlighting the importance of monitoring smoking status in patients receiving oncologic drug interventions.
香烟烟雾是肺癌的主要病因,并且能以复杂的方式与肺癌预防或治疗药物相互作用。分子遗传学研究有望阐明吸烟者与非吸烟者药物效果差异背后的生物学机制,并有助于开发控制肺癌的新方法。本研究比较了慢性吸烟者、既往吸烟者和从不吸烟者之间的全基因组表达谱(通过对支气管上皮细胞进行Affymetrix微阵列测量来确定)。吸烟对全基因组表达的影响通过对三个独立数据集的综合分析来确定。在13902个测量基因中,当前吸烟者与从不吸烟者之间有591个基因存在差异表达(P < 0.01且变化倍数>2倍;汇总数据)——这是一个显著的影响。相比之下,当前吸烟者与既往吸烟者之间只有145个测量基因存在差异表达(P < 0.01且变化倍数>2倍;汇总数据)。这145个基因中的9个在三个数据集中均显示出一致且显著的变化(P < 0.01且变化倍数>2倍),其中8个在既往吸烟者中下调。8个下调基因中的7个,包括CYP1B1和3个AKR基因,影响致癌物和/或治疗/化学预防剂的代谢。我们比较既往吸烟者与当前吸烟者的数据,使我们能够确定参与肺癌预防和治疗中吸烟与药物相互作用的基因。这些发现对于开发针对肺部及其他部位预防和治疗的新靶向及给药方法具有重要意义,突出了在接受肿瘤药物干预的患者中监测吸烟状态的重要性。