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Updated: May 17, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
Comparison of the gene expression profiles between smokers with and without lung cancer using RNA-Seq
Peng Cheng1, You Cheng, Yan Li
1Department of Oncology, PLA general hospital of Chengdu Commond, Clinical Medical College of Third Medical Military University, Chengdu, China.
Abstract:
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 found 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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