Identification of significant molecules and biological processes in fluoxetine treated lung cancer cells

Abstract

Fluoxetine has shown anti-cancer responses in non-small cell lung cancer in vitro. However, the anticancer effect and mechanism of fluoxetine still need to be elucidated. In this study, we aim to figure out the significant molecules and biological processes by analyzing the RNA-seq data from the GEO database. The GSE200209 was created by the Illumina HiSeq 4000 (Homo sapiens). By analyzing the KEGG and GO enrichments, we found that the Lysosome and Autophagy are the major signaling pathways in the fluoxetine treated lung cancer cells. We further identified the top ten interactive molecules including CDK1, CCNB1, MAD2L1, AURKB, MCM3, MCM, CDC45, CDC20, RFC4, and CCNB2. This study may guide the treatment of lung cancer by using fluoxetine.