Abstract
Objective Bladder cancer (BC) is the most common malignancy in the urinary system and is prone to recurrence and metastasis. Pyroptosis is a kind of cell necrosis that is triggered by the gasdermin protein family. lncRNAs are noncoding RNAs that are more than 200 nucleotides long. Both pyroptosis and lncRNAs are associated with tumor development and progression. This study is aimed at exploring and establishing a prognostic signature of BC based on pyroptosis-related lncRNAs. Methods In this study, The Cancer Genome Atlas (TCGA) database provided us with the RNA sequencing transcriptome data of bladder cancer patients, and we identified differentially expressed pyroptosis-related lncRNAs in bladder cancer. Then, the prognostic significance of these lncRNAs was assessed using univariate Cox regression analysis and LASSO regression analysis. Subsequently, 4 pyroptosis-related lncRNAs, namely, AL121652.1, AL161729.4, AC007128.1, and AC124312.3, were identified by multivariate Cox regression analysis, thus constructing the prognostic risk model. Then, we compared the levels of immune infiltration, differences in cell function, immune checkpoints, and m6A-related gene expression levels between the high- and low-risk groups. Result Patients were divided into low-risk or high-risk groups based on the median risk score. Kaplan–Meier survival analysis indicated that the overall survival of bladder cancer patients in the low-risk group was substantially superior to that in the high-risk group (p < 0.001). The receiver operating characteristic (ROC) curve further confirmed the credibility of our model. Moreover, gene set enrichment analysis (GSEA) indicated that these were different signal pathways significantly enriched between the two groups. Immune infiltration, immune checkpoint, and N6-methyladenosine-related gene analysis also reflected that there were notable differences between the two groups. Conclusion Therefore, this prognostic risk model is based on the level of pyroptotic lncRNAs, which is conducive to individualized assessment of the risk of patients and provides a reference for clinical treatment. This will also help provide insights into the prognosis and treatment of bladder cancer.
Highlights
Bladder cancer (BC) is the most common malignancy in the urinary system and the ninth most common cancer worldwide [1]
We applied receiver operating characteristic (ROC) curves to assess the accuracy of the prognostic model in predicting bladder cancer patient survival
A scatterplot revealed the relationship between the survival time and risk score of bladder cancer patients based on the pyroptosis-related lncRNA prognostic model
Summary
Bladder cancer (BC) is the most common malignancy in the urinary system and the ninth most common cancer worldwide [1]. Pyroptosis is a kind of cell necrosis that is triggered by the gasdermin protein family. Studies have shown that cytotoxic lymphocytes depend on pyroptosis to kill tumor cells, which are associated with the occurrence, development, and prognosis of bladder cancer [3]. The susceptibility of tumor cells to treatment is strongly linked with pyroptotic activity. The more active pyroptosis in tumor cells, the better the patient prognosis. LncRNAs can regulate the expression of pyroptosis-related genes and the activity of pyroptosis-related proteins [7]. LncRNAs play a crucial role in increasing or inhibiting tumor cell growth and spread. The role pyroptosis-related lncRNAs play in bladder cancer has not been expounded. We tried to investigate the correlation between pyroptosisrelated lncRNAs and bladder cancer
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