- Volume 13 Issue 8
DOI QR Code
Comparison of the Gene Expression Profiles Between Smokers With and Without Lung Cancer Using RNA-Seq
- Cheng, Peng (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University) ;
- Cheng, You (Department of Otolaryngology-Head and Neck Surgery, PLA General Hospital of Nanjing Commond, Clinical Medical College of Nanjing University) ;
- Li, Yan (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University) ;
- Zhao, Zhenguo (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University) ;
- Gao, Hui (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University) ;
- Li, Dong (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University) ;
- Li, Hua (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University) ;
- Zhang, Tao (Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of the Third Medical Military University)
- Published : 2012.08.31
Lung cancer seriously threatens human health, so it is important to investigate gene expression changes in affected individuals in comparison with healthy people. Here we compared the gene expression profiles between smokers with and without lung cancer. We found that the majority of the expressed genes (threshold was set as 0.1 RPKM) were the same in the two samples, with a small portion of the remainder being unique to smokers with and without lung cancer. Expression distribution patterns showed that most of the genes in smokers with and without lung cancer are expressed at low or moderate levels. We also found that the expression levels of the genes in smokers with lung cancer were lower than in smokers without lung cancer in general. Then we detected 27 differentially expressed genes in smokers with versus without lung cancer, and these differentially expressed genes were foudn to be involved in diverse processes. Our study provided detail expression profiles and expression changes between smokers with and without lung cancer.
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