比例危险模型
肿瘤科
医学
预测模型
生物标志物
内科学
免疫组织化学
癌症
混淆
逻辑回归
临床意义
生存分析
基因表达谱
稳健性(进化)
免疫印迹
蛋白质组
生物信息学
组蛋白
危险系数
回归
危险分层
总体生存率
计算生物学
个性化医疗
蛋白质表达
作者
Changqi Fu,Zhifang Jia,Yingli Fu,Yangyu Zhang,Yanhua Wu,Xueyuan Cao,Donghui Cao,Jing Jiang
标识
DOI:10.1021/acs.jproteome.5c00813
摘要
= 0.032). In addition, pan-lactylation level was an independent prognostic predictor (HR = 2.06, 95%CI: 1.51-2.80). Four prognostic models were constructed with different advantages, while the RSF model achieved superior training performance (5-year C-index = 0.837), while COX regression demonstrated optimal validation robustness (5-year C-index = 0.624). Pan-lactylation is a novel prognostic biomarker for GC. The lactylation-driven prognostic signature facilitates precise risk stratification in GC patients, providing a framework for personalized therapeutic intervention.
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