Identification of a novel pyroptosis related long noncoding RNA subtypes, development of a prognostic model and characteristics of the tumor microenvironment in gastric cancer

Abstract

Abstract Background Pyroptosis-related long noncoding RNAs (lncRNAs) (PRLs) are closely related to gastric cancer (GC). However, However, the mechanism of its role in GC has not been elaborated. This study deeply analyzed the potential role of PRL in GC. Methods A PRLs coexpression network was constructed via GC data from the TCGA dataset. Cox analysis was used to determine the prognosis related PRLs. QRT–PCR was used for quantitative verification. LASSO analysis and multivariate Cox analysis were used to construct the prognosis model of PRLs and calculate the risk score of each sample. The clinical characteristics, prognosis and tumor microenvironment (TME) of different risk groups were analyzed. Finally, we constructed a ceRNA network of lncRNA miRNA/mRNA and five histone modification modes (H3K27ac, H3K4me1, H3K17me3, H3K4me3, and H3K9me3). Results We obtained seven PRLs and constructed a prognostic model. In addition, we also drew a highly accurate nomogram to predict the prognosis of GC. The expression of lncRNAs AP000695.1 and AC087301.1 was significantly different between GC tissues and normal tissues. The immune function and TME also changed in different risk groups. We found the sub-networks of miRNAs and target genes related to AP000695.1 and AC243964.3. And we also found that the AC007277.1 enhancer region H3K27ac, H3K4me1, H3K4me3 levels increased. Conclusion This study revealed the clinical features, prognosis and tumor microenvironment of PRL in gastric cancer, and further explored its potential role in GC. This study revealed the clinical characteristics, prognosis and tumor microenvironment of PRLs in GC. The potential role in GC was discussed, which provided a new theoretical basis and ideas for immunotherapy of GC.