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Life Sci ; 307: 120832, 2022 Oct 15.
Article in English | MEDLINE | ID: mdl-35940218

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.


Subject(s)
Melanoma , RNA, Long Noncoding , Skin Neoplasms , B7-H1 Antigen , Biomarkers, Tumor/metabolism , Humans , Melanoma/genetics , Melanoma/pathology , Programmed Cell Death 1 Receptor , Pyroptosis/genetics , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , Skin Neoplasms/genetics , Skin Neoplasms/pathology , Tumor Microenvironment/genetics , Melanoma, Cutaneous Malignant
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