Meta-analysis of mRNA expression profiles to identify differentially expressed genes in lung adenocarcinoma tissue from smokers and non-smokers.
Meta-analysis of mRNA expression profiles to identify differentially expressed genes in lung adenocarcinoma tissue from smokers and non-smokers.
复制标题
对 mRNA 表达谱进行荟萃分析，以确定吸烟者和非吸烟者肺腺癌组织中差异表达的基因
DOI：
10.3892/or.2018.6197
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发表时间：
2018-03
期刊：
影响因子：
4.2
通讯作者：
Lu Q
中科院分区：
文献类型：
--
作者：
He X;Zhang C;Shi C;Lu Q
与其他类型的肺癌相比，有吸烟史的肺腺癌患者在肺癌治疗过程中预后较差。肺腺癌相关基因在吸烟者和非吸烟者之间的差异表达方式尚未完全阐明。我们使用R统计软件对四个公开的与吸烟史患者肺腺癌组织相关的微阵列数据集进行了荟萃分析。使用热图显示了吸烟与非吸烟患者中前50个差异表达基因（DEG）。此外，我们还进行了KEGG和GO分析。此外，我们进行了PPI网络分析的8个基因，在以前的分析过程中选择。我们确定了总共2，932个DEG（1，806个上调，1，126个下调）和5个基因（CDC 45，CDC 20，ANAPC 7，CDC 6，ESPL 1）可能将肺腺癌与吸烟史联系起来。我们的研究可能为吸烟患者肺腺癌的复杂机制提供新的见解，我们新的基因表达特征将有助于未来的临床研究。
Compared to other types of lung cancer, lung adenocarcinoma patients with a history of smoking have a poor prognosis during the treatment of lung cancer. How lung adenocarcinoma-related genes are differentially expressed between smoker and non-smoker patients has yet to be fully elucidated. We performed a meta-analysis of four publicly available microarray datasets related to lung adenocarcinoma tissue in patients with a history of smoking using R statistical software. The top 50 differentially expressed genes (DEGs) in smoking vs. non-smoking patients are shown using heat maps. Additionally, we conducted KEGG and GO analyses. In addition, we performed a PPI network analysis for 8 genes that were selected during a previous analysis. We identified a total of 2,932 DEGs (1,806 upregulated, 1,126 downregulated) and five genes (CDC45, CDC20, ANAPC7, CDC6, ESPL1) that may link lung adenocarcinoma to smoking history. Our study may provide new insights into the complex mechanisms of lung adenocarcinoma in smoking patients, and our novel gene expression signatures will be useful for future clinical studies.
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影响因子：
5.7
作者：
Saito M;Shiraishi K;Kunitoh H;Takenoshita S;Yokota J;Kohno T
通讯作者：
Kohno T
影响因子：
2.9
作者：
Glauert, Howard P.;Elliott, R. Scott;Gairola, C. Gary
通讯作者：
Gairola, C. Gary
影响因子：
5.4
作者：
Pollok, S.;Bauerschmidt, C.;Grosse, F.
通讯作者：
Grosse, F.
DOI：
10.6004/jnccn.2013.0011
发表时间：
2013-01-01
期刊：
Journal of the National Comprehensive Cancer Network : JNCCN
影响因子：
--
作者：
Kalemkerian GP;Akerley W;Bogner P;Borghaei H;Chow LQ;Downey RJ;Gandhi L;Ganti AK;Govindan R;Grecula JC;Hayman J;Heist RS;Horn L;Jahan T;Koczywas M;Loo BW Jr;Merritt RE;Moran CA;Niell HB;O'Malley J;Patel JD;Ready N;Rudin CM;Williams CC Jr;Gregory K;Hughes M;National Comprehensive Cancer Network
通讯作者：
National Comprehensive Cancer Network
影响因子：
3.7
作者：
Gow, Chien-Hung;Chang, Hou-Tai;Shih, Jin-Yuan
通讯作者：
Shih, Jin-Yuan