A novel pyroptosis-related LncRNA signature predicts prognosis and indicates tumor immune microenvironment in skin cutaneous melanoma
Jia'nan Zhong, Zheng Wang, Alphonse Houssou Hounye, Jing Liu, Jianglin Zhang, Min Qi
Journal:LIFE SCIENCES
IF:6.78
DOI:10.1016/j.lfs.2022.120832
PMID:35940218
Published:2022-08-05
research field:肿瘤学癌症生物学免疫治疗药物递送纳米医学表观遗传学
Abstract
Aims To explore the correlation between the pyroptosis-related lncRNAs (PRlncRNAs) and the prognosis of skin cutaneous melanoma (SKCM), and clarify the effects of the PRlncRNAs on the tumor immune infiltration. Main methods In this study, we utilized RNA-seq and clinical characteristics data obtained from TCGA and GEO database to perform co-expression analysis and LASSO Cox regression analysis to construct a 12-PRlncRNA prognostic prediction model. We also performed functional analysis, immune infiltration analysis and drug sensitivity analysis, as well as correlation analysis with autophagy/ferroptosis genes, tumor mutational burden, and PD-1/PD-L1 genes. Key finding The model based on the 12-PRlncRNA signature could effectively predict the prognosis of SKCM. Low risk group had a higher anti-tumor immune level generally compared with high-risk group. The signature was correlated with the expression of autophagy/ferroptosis-related genes and PD1/PD-L1 genes and tumor mutational burden. Additionally, drug sensitivity analysis indicated potential therapeutic targets. Significance Our study demonstrated the impact of PRlncRNAs on SKCM. The model established based on the 12-PRlncRNA showed significant prognostic value for SKCM and may be instructive in pyroptosis-related targeted therapy in the clinic.
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