A novel endoplasmic reticulum stress-related lncRNA prognostic risk model for skin cutaneous melanoma

Abstract Objective Endoplasmic reticulum stress(ERS) and Long non-coding RNAs (lncRNAs) play a important role in the occurrence and progression of melanoma. This study aimed to explore the prognostic impact of ERS-associated lncRNA profiles on cutaneous cutaneous melanoma (SKCM). Methods Get the raw date of SKCM from The Cancer Genome Atlas(TCGA). The ERS-related genes were obtained from the GSEA website, and then the ERS-related LncRNAs were obtained through the mRNA and LncRNA co-expression network. A prognostic risk model for the composition of ERS-related lncRNAs was identified by lasso regression analysis. Divided patients into high-risk and low-risk groups based on the model's risk score. Differences in survival outcomes, immune infiltration, chemotherapeutic drug sensitivity, and immune checkpoint gene expression were then assessed between the two groups. Results Thirty-nine ERS-related lncRNAs associated with prognosis were obtained. A prognostic risk model consisting of 10 ERS-related lncRNAs was identified. Patients in the low-risk group had a better prognosis than those in the high-risk group. Analysis of the tumor microenvironment revealed that risk scores correlated with infiltration of immune cells in 8. Patients in the low-risk group were more sensitive to the chemotherapy drugs paclitaxel and cisplatin than in the high-risk group. Conclusion This study identified a risk model composed of 10 ERS-related lncRNAs with significant prognostic value in SKCM and could provide guidance for clinical treatment.