比例危险模型
肿瘤科
上睑下垂
内科学
多元统计
免疫系统
Lasso(编程语言)
医学
肿瘤微环境
癌症
免疫学
机器学习
计算机科学
炎症
万维网
炎症体
作者
Youmeng Shi,Qiuxing Yang,Guomei Tai,Xudong Chen
标识
DOI:10.1007/s00432-023-04958-x
摘要
Abstract Objectives Pyroptosis-related genes (PRGs) are abnormally expressed in a variety of gastrointestinal tumors, this study aimed to investigate the role of pyroptosis genes in assessing the prognosis of esophageal cancer (ESCA). Methods Through consensus clustering, we identified two subtypes associated with PRGs. After Lasso regression and multivariate Cox regression analysis, a polygenic signature based on six prognostic PRGS was constructed. Afterwards, we combined the risk score with clinical predictors to construct and validate a PRGs-associated ESCA prognostic model. Results Through analysis, we Successfully constructed and validated a PRGs-associated ESCA prognostic model that predicts ESCA survival and correlates with the tumor immune microenvironment. Conclusion Based on PRGs features, we established a new ESCA hierarchical model. This model has important clinical implications for ESCA patients, both in terms of assessing prognosis and in terms of targeted and immunotherapy.
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