鉴定与胃癌中的基因-1-酸盐相关的预后基因,以构建风险模式
Jing Han1, Lan Lei2, Jiangfeng Wang3
1Biospecimen Repository, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Translational cancer research
|November 14, 2025
概括
这项研究确定了7个与基因-1-酸盐相关的基因 (SRG),这些基因可以预测胃癌 (GC) 的结果. 使用这些SRG的新风险模型为GC治疗策略提供了潜在的临床价值.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 胃癌 (GC) 是一个严重的全球健康负担,死亡率高.
- 斯芬哥辛-1-酸盐 (S1P) 涉及各种癌症,但其在GC中的作用尚未完全理解.
研究的目的:
- 研究S1P相关基因 (SRG) 在胃癌中的预后价值.
- 根据SRG,为GC开发可靠的风险预测模型.
主要方法:
- 使用TCGA-GC和GSE62254数据集进行分析.
- 采用加权基因共同表达网络分析 (WGCNA) 和差异基因表达分析.
- 使用单变Cox回归和LASSO算法构建和验证了一个预后风险模型.
主要成果:
- 确定了260个候选基因,并选了7个关键预后SRG.
- 开发的风险模型通过ROC曲线显示出良好的预测效率.
- 风险评分,年龄和癌症阶段被确定为独立的预后因素,在高风险和低风险组之间观察到不同的分子途径和免疫微环境特征.
结论:
- 一个基于七个SRG的风险模型成功构建和验证了胃癌.
- 这个模型对指导GC治疗决策具有潜在的临床意义.
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