Screening of ferroptosis-related genes associated with prognosis of esophageal squamous cell carcinoma and construction of prognostic model
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
目的 探讨食管鳞状细胞癌(ESCC)患者预后相关的铁死亡基因，并构建预后风险模型。 方法 通过GEO数据库及FerrDb数据库筛选ESCC患者铁死亡相关差异表达基因，并对差异基因进行基因功能分析、构建PPI网络及模块分析，使用Logistic回归分析ESCC预后相关铁死亡基因，采用LASSO回归分析构建ESCC预后风险模型并进行验证。 结果 肿瘤组织和癌旁组织共筛查到51个铁死亡相关差异表达基因，主要富集到不饱和脂肪酸的代谢过程、响应刺激、角质细胞分化等生物过程及铁死亡、白细胞介素-18信号通路、TP53通路等信号通路，共得到三个主要模块10个基因。筛选出19个差异铁死亡基因与ESCC患者生存显著相关，构建了由FTL、SLC39A14、ALOX12、SCP2、NCF2、DUSP1、MMP13、CDKN2A、GPT2等9个铁死亡基因组成的风险模型，LASSO回归分析和受试者工作特征曲线分析结果显示，高风险组预后较差，3年生存率的受试者工作特征曲线下面积为0.835。 结论 通过生物信息学方法筛选出19个影响ESCC患者预后的铁死亡相关基因，并成功构建9个铁死亡相关基因组成的预后风险模型，该风险模型对ESCC患者预后的预测价值较高。 Objective To investigate the ferroptosis-related genes associated with the prognosis of esophageal squamous cell carcinoma (ESCC), and construct a prognostic model for the disease. Methods The GEO database and FerrDb database were used to screen differentially expressed ferroptosis-related genes of ESCC, and the gene function of differentially expressed genes were analyzed. Protein-protein interaction was construct to perform gene module analysis. The prognostic-related ferroptosis-related genes were analyzed by logistic regression analysis. And the prognostic model for ESCC was constructed by LASSO regression analysis, and was validated. Results Fifty-one differentially expressed ferroptosis-related genes were screened in tumor tissues and adjacent tissues, which were mainly enriched in signaling pathways of the metabolism of unsaturated fatty acids, response to stimulation, keratinocyte differentiation, iron death, interleukin-18, and TP53, and three main gene modules and 10 genes were obtained in total. Nineteen differentially expressed ferroptosis-related genes were screened which were significantly related to the survival of patients with ESCC, and a risk model consisting of 9 ferroptosis-related genes, including FTL, SLC39A14, ALOX12, SCP2, NCF2, DUSP1, MMP13, CDKN2A, and GPT2 was constructed. The results of LASSO regression analysis and subject operating characteristic curve analysis showed that the high-risk group had a poor prognosis. The area under the receiver operating characteristic curve of the 3-year survival rate was 0.835. Conclusions Nineteen ferroptosis-related genes associated with the prognosis of patients with ESCC are detected out by bioinformatics methods, and a prognostic risk model composed of 9 ferroptosis-related genes was successfully constructed. This prognostic model has high predictive value for the prognosis of ESCC.
Objective To investigate the ferroptosis-related genes associated with the prognosis of esophageal squamous cell carcinoma (ESCC), and construct a prognostic model for the disease. Methods The GEO database and FerrDb database were used to screen differentially expressed ferroptosis-related genes of ESCC, and the gene function of differentially expressed genes were analyzed. Protein-protein interaction was construct to perform gene module analysis. The prognostic-related ferroptosis-related genes were analyzed by logistic regression analysis. And the prognostic model for ESCC was constructed by LASSO regression analysis, and was validated. Results Fifty-one differentially expressed ferroptosis-related genes were screened in tumor tissues and adjacent tissues, which were mainly enriched in signaling pathways of the metabolism of unsaturated fatty acids, response to stimulation, keratinocyte differentiation, iron death, interleukin-18, and TP53, and three main gene modules and 10 genes were obtained in total. Nineteen differentially expressed ferroptosis-related genes were screened which were significantly related to the survival of patients with ESCC, and a risk model consisting of 9 ferroptosis-related genes, including FTL, SLC39A14, ALOX12, SCP2, NCF2, DUSP1, MMP13, CDKN2A, and GPT2 was constructed. The results of LASSO regression analysis and subject operating characteristic curve analysis showed that the high-risk group had a poor prognosis. The area under the receiver operating characteristic curve of the 3-year survival rate was 0.835. Conclusions Nineteen ferroptosis-related genes associated with the prognosis of patients with ESCC are detected out by bioinformatics methods, and a prognostic risk model composed of 9 ferroptosis-related genes was successfully constructed. This prognostic model has high predictive value for the prognosis of ESCC.
Esophageal squamous cell carcinomaFerroptosis-related genesPrognostic model
万方数据
