医学
肿瘤微环境
肺
癌症研究
腺癌
肿瘤科
签名(拓扑)
肺癌
个性化医疗
内科学
总体生存率
治疗方法
生物信息学
精密医学
靶向治疗
作者
Wei Xia,Jiwei Liu,Ruo Chen,Junjie Feng,Lei Wu,Yi-Ze Wang,Xiaokun Wang,Chenghu Song,Wenjun Mao
标识
DOI:10.21147/j.issn.1000-9604.2025.05.11
摘要
This research highlights the essential role of DRGs in modulating the tumor microenvironment, influencing therapeutic response, and determining the prognosis of LUAD. The risk model and nomogram, derived from DRG expression, offer robust tools for survival prediction and personalized treatment stratification, facilitating the development of disulfidptosis-targeted therapeutic strategies.
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