发布者:抗性基因网 时间:2023-06-07 浏览量:265
摘要
目的:根据自噬相关基因(ARGs)确定食管癌的潜在预后标志。方法:从癌症基因组图谱下载RNA测序和临床数据。通过Wilcoxon符号秩检验确定了显著不同的ARG。采用Cox回归分析建立预后模型。通过受试者工作特性和Kaplan–Meier曲线对模型进行评估。结果:共鉴定出28个显著不同的ARG。筛选出7个ARG,构建预后模型。验证了该模型的有效性。列线图也验证了风险评分在预测预后中的作用。富集分析显示了可能的潜在机制。结论:七ARGs预后模型在预测食管癌患者预后方面具有良好的前景。
Abstract
Aim: To identify a potential prognostic signature of esophageal carcinoma based on autophagy-related genes (ARGs). Methods: RNA sequencing and clinical data were downloaded from the Cancer Genome Atlas. Significantly different ARGs were identified by Wilcoxon signed-rank test. A prognostic model was established employing Cox regression analysis. The model was evaluated by receiver operating characteristic and Kaplan–Meier curve. Results: A total of 28 significantly different ARGs were identified. Seven ARGs were screened to construct the prognostic model. The efficacy of the model was verified. A nomogram also validated the role of risk score in predicting prognosis. Enrichment analyses showed the possible underlying mechanisms. Conclusion: The seven-ARGs prognostic model was validated to be promising for predicting the prognosis of patients with esophageal carcinoma.
https://www.futuremedicine.com/doi/abs/10.2217/fon-2021-0070