Construction and analysis of a prognostic risk model for endoplasmic reticulum stress-related LncRNA in bladder urothelial carcinoma
Objective:This study was mainly to investigate in depth the prognostic impact of endoplasmic re-ticulum stress-related long noncoding RNA(LncRNA)on bladder urothelial carcinoma(BLCA)and to construct and analyze the prognostic risk model of BLCA endoplasmic reticulum stress-related LncRNA in order to further guide individualized prognostic prediction and treatment of bladder cancer.Methods:RNA sequencing data along with clinical details were retrieved from the TCGA(The Cancer Genome Atlas)database.Concurrently,a compil-ation of genes associated with endoplasmic reticulum stress was obtained from the Genecard database.Utilizing Pearson correlation analysis,LncRNAs linked to endoplasmic reticulum stress in BLCA were identified,and one-way Cox regression analysis was used to screen out the LncRNAs that were significantly correlated with the prog-nosis of BLCA.The significantly correlated LncRNAs were included in multifactor Cox regression analysis and Kaplan-Meier method for identifying endoplasmic reticulum stress-related LncRNAs with independent prognostic value,on the basis of which the prognostic risk model was established.At the same time,the risk scores of the patients were calculated,then the patients were categorized into high-risk and low-risk groups.The survival differences between the two subgroups were compared,and the ROC curve was plotted to evaluate the truthful-ness of the prognostic risk model.Finally,the relationship between the clinicopathological characteristics of the patients with BLCA and the risk scores was analyzed by Cox regression.Results:Six endoplasmic reticulum stress-related LncRNAs with standalone prognostic significance for BLCA were identified and used to develop a prognostic risk assessment model.This model demonstrated that individuals in the low-risk category had a more favorable prognosis compared to those in the high-risk category.Furthermore,with an area under the ROC curve of 0.709,the model exhibited reliable accuracy and predictive capability.In addition,risk score was an independent predictor of BLCA and positively correlated with mortality,and also significantly correlated with age,tumor grade,pathological stage and T stage.Conclusion:The BLCA endoplasmic reticulum stress-associated LncRNA prognostic risk model has prognostic predictive value,which will be beneficial to the treatment and prevention of BLCA patients and provide possible therapeutic targets.
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