Chonghao Jiang, Yonggui Xiao, Danping Xu, Youlong Huili, Shiwen Nie, Hubo Li, Xiaohai Guan, Fenghong Cao
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引用次数: 0
Abstract
As a newly discovered mechanism of cell death, disulfidptosis is expected to help diagnose and treat bladder cancer patients. First, data obtained from public databases were analyzed using bioinformatics techniques. SVA packages were used to combine data from different databases to remove batch effects. Then, the differential analysis and COX regression analysis of ten disulfidptosis-related genes identified four prognostically relevant differentially expressed genes which were subjected to Lasso regression for further screening to obtain model-related genes and output model formulas. The predictive power of the prognostic model was verified and the immunohistochemistry of model-related genes was verified in the HPA database. Pathway enrichment analysis was performed to identify the mechanism of bladder cancer development and progression. The tumor microenvironment and immune cell infiltration of bladder cancer patients with different risk scores were analyzed to personalize treatment. Then, information from the IMvigor210 database was used to predict the responsiveness of different risk patients to immunotherapy. The oncoPredict package was used to predict the sensitivity of patients at different risk to chemotherapy drugs, and its results have some reference value for guiding clinical use. After confirming that our model could reliably predict the prognosis of bladder cancer patients, the risk scores were combined with clinical information to create a nomogram to accurately calculate the patient survival rate. A prognostic model containing three disulfidptosis-related genes (NDUFA11, RPN1, SLC3A2) was constructed. The functional enrichment analysis and immune-related analysis indicated patients in the high-risk group were candidates for immunotherapy. The results of drug susceptibility analysis can guide more accurate treatment for bladder cancer patients and the nomogram can accurately predict patient survival. NDUFA11, RPN1, and SLC3A2 are potential novel biomarkers for the diagnosis and treatment of bladder cancer. The comprehensive analysis of tumor immune profiles indicated that patients in the high-risk group are expected to benefit from immunotherapy.
期刊介绍：
Critical ReviewsTM in Eukaryotic Gene Expression presents timely concepts and experimental approaches that are contributing to rapid advances in our mechanistic understanding of gene regulation, organization, and structure within the contexts of biological control and the diagnosis/treatment of disease. The journal provides in-depth critical reviews, on well-defined topics of immediate interest, written by recognized specialists in the field. Extensive literature citations provide a comprehensive information resource.
Reviews are developed from an historical perspective and suggest directions that can be anticipated. Strengths as well as limitations of methodologies and experimental strategies are considered.
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