1 research outputs found
Identification of unique transcriptomic signatures and key genes through RNA sequencing and integrated WGCNA and PPI network analysis in HIV infected lung cancer
Abstract With the widespread use of highly active antiretroviral therapy (HARRT), the survival time of AIDS patients has been greatly extended. However, the incidence of lung cancer in HIVâinfected patients is increasing and has become a major problem threatening the survival of AIDS patients. The aim of this study is to use Weighted Gene Coâexpression Network Analysis (WGCNA) and differential gene analysis to find possible key genes involved in HIVâinfected lung cancer. In this study, using lung tissue samples from five pairs of HIVâinfected lung cancer patients, secondâgeneration sequencing was performed and transcriptomic data were obtained. A total of 132 HIVâinfected lung cancerârelated genes were screened out by WGCNA and differential gene expression analysis methods. Based on gene annotation analysis, these genes were mainly enriched in mitosisârelated functions and pathways. In addition, in proteinâprotein interaction (PPI) analysis, a total of 39 hub genes were identified. Among them, five genes (ASPM, CDCA8, CENPF, CEP55, and PLK1) were present in both three hub gene lists (intersection gene, DEGs, and WCGNA module) suggesting that these five genes may become key genes involved in HIVâinfected lung cancer