Identification of unique transcriptomic signatures and key genes through RNA sequencing and integrated WGCNA and PPI network analysis in HIV infected lung cancer

Autor: Liwei Wu, Yongfang Chen, Laiyi Wan, Zilu Wen, Rong Liu, Leilei Li, Yanzheng Song, Lin Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cancer Medicine, Vol 12, Iss 1, Pp 949-960 (2023)
Druh dokumentu: article
ISSN: 2045-7634
DOI: 10.1002/cam4.4853
Popis: 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 HIV‐infected 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 Co‐expression Network Analysis (WGCNA) and differential gene analysis to find possible key genes involved in HIV‐infected lung cancer. In this study, using lung tissue samples from five pairs of HIV‐infected lung cancer patients, second‐generation sequencing was performed and transcriptomic data were obtained. A total of 132 HIV‐infected lung cancer‐related genes were screened out by WGCNA and differential gene expression analysis methods. Based on gene annotation analysis, these genes were mainly enriched in mitosis‐related functions and pathways. In addition, in protein–protein 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 HIV‐infected lung cancer.
Databáze: Directory of Open Access Journals
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