癌症二硫硫相关基因的预后预测及免疫治疗综合分析。

IF 1.5 4区 医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Critical Reviews in Eukaryotic Gene Expression Pub Date : 2023-01-01 DOI:10.1615/CritRevEukaryotGeneExpr.2023048536
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

摘要

二硫化物变性作为一种新发现的细胞死亡机制,有望帮助癌症患者的诊断和治疗。首先,使用生物信息学技术分析从公共数据库获得的数据。SVA包用于组合来自不同数据库的数据,以消除批量效应。然后,对10个二硫变性相关基因进行差异分析和COX回归分析,确定了4个与预后相关的差异表达基因,并对其进行Lasso回归进一步筛选,以获得模型相关基因和输出模型公式。在HPA数据库中验证了预后模型的预测能力,并验证了模型相关基因的免疫组织化学。进行路径富集分析以确定癌症发展和进展的机制。分析不同风险评分的癌症患者的肿瘤微环境和免疫细胞浸润情况,进行个性化治疗。然后,使用IMvigor210数据库中的信息来预测不同风险患者对免疫疗法的反应性。利用oncoPredict软件包预测不同风险患者对化疗药物的敏感性,其结果对指导临床使用具有一定的参考价值。在确认我们的模型可以可靠地预测癌症患者的预后后,将风险评分与临床信息相结合,创建列线图,以准确计算患者的存活率。构建了一个包含三个双硫血症相关基因(NDUFA11、RPN1、SLC3A2)的预后模型。功能富集分析和免疫相关分析表明,高危组患者是免疫治疗的候选者。药敏分析结果可以指导癌症患者更准确的治疗,列线图可以准确预测患者的生存率。NDUFA11、RPN1和SLC3A2是诊断和治疗癌症的潜在新型生物标志物。肿瘤免疫谱的综合分析表明,高危人群有望从免疫治疗中受益。
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Prognosis Prediction of Disulfidptosis-Related Genes in Bladder Cancer and a Comprehensive Analysis of Immunotherapy.

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.

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来源期刊
Critical Reviews in Eukaryotic Gene Expression
Critical Reviews in Eukaryotic Gene Expression 生物-生物工程与应用微生物
CiteScore
2.70
自引率
0.00%
发文量
67
审稿时长
1 months
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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