PI3K/Akt signalling pathway-associated long noncoding RNA signature predicts the prognosis of laryngeal cancer patients

• Published in: Scientific reports Vol. 13; no. 1; p. 14764
• Main Authors: Nie, Qian, Cao, Huan, Yang, JianWang, Liu, Tao, Wang, Baoshan
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group 07.09.2023; Nature Publishing Group UK; Nature Portfolio
• Subjects: 1-Phosphatidylinositol 3-kinase; AKT protein; Genomes; Immune response; Laryngeal cancer; Lymphocytes T; Medical prognosis; Non-coding RNA; Prognosis; Risk groups; Sensitivity analysis; Signal transduction
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-41927-3

The PI3K/Akt signalling pathway is associated with the occurrence and development of tumours and significantly affects the prognosis of patients. We established a predictive signature based on the PI3K/Akt pathway to predict the prognosis of patients. The RNA-seq and clinical data of laryngeal cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database. Three lncRNAs (MNX1-AS1, LINC00330, LSAMP-AS1) were selected through univariate, multivariate Cox and log-rank test analysis to establish a prognostic signature. The patients were then divided into high-risk and low-risk groups based on their risk score. In the TCGA training set, the survival time of the high-risk group was shorter than that of the low-risk group (P < 0.01). Follicular helper T cells were lower in the high-risk group (P = 0.022), and CCR, inflammation promotion, parainflammation, and type I IFN immune function were suppressed. The results of the drug sensitivity analysis suggest that the high-risk group is sensitive to AKT inhibitors. The establishment of the signature was also verified based on the clinical data. Three lncRNAs can facilitate the migration, invasion, and vitality of cancer cells in vitro, and vice versa. Moreover, p-AKT (Ser473) and p-PI3K were highly activated in the cells overexpressing the abovementioned three lncRNAs. The PI3K/Akt signalling pathway-associated prognosis signature has a good predictive effect.