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甲状腺分化得分相关的基因和甲状腺癌的预后模型

Shang Lin¹, Di Chen^2,3, Chen-Wei Pan^2,3

¹Department of Nuclear Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.

Translational cancer research

|September 15, 2025

概括

一个新的四基因风险模型预测了甲状腺癌 (THCA) 的预后. 这种模型使用ATPase分泌途径Ca2+运输2,巨细胞表达膜蛋白1,FAM111B和尿-2-硫转移酶,提供了THCA进展和潜在治疗点的见解.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
分子生物学分子生物学

背景情况:

甲状腺分化得分 (TDS) 对于评估甲状腺癌 (THCA) 分化至关重要.
开发THCA的预后模型对于患者管理至关重要.
识别新的生物标志物可以改善THCA治疗策略.

研究的目的:

建立基于TDS相关基因的THCA预后风险模型.
探索潜在的生物标志物及其在THCA进展中的作用.
调查与已识别的风险基因相关的功能途径.

主要方法:

使用了癌症基因组图谱 (TCGA) -THCA数据集.
在THCA和TDS之间确定了差异表达基因 (DEGs).
使用最小绝对收缩和选择运算符 (Lasso) 和考克斯回归构建了一个预后模型.
使用卡普兰-梅尔曲线,ROC曲线和决策曲线分析验证了模型.
进行基因组丰富分析 (GSEA) 和单细胞RNA测序.

主要成果:

建立了一个四个基因风险模型 (ATP2C2,MCEMP1,FAM111B,UST),对THCA总生存率具有显著的预后价值.
高ATP2C2和MCEMP1表达与更差的预后相关;FAM111B和UST显示有保护作用.
GSEA表明了对亡和p53信号通路的参与.
UST与CD4+记忆细胞中的p53信号相关,这表明它在THCA进展中的作用.

结论:

与TDS相关的基因风险模型在THCA中显示出强大的预后效用.
UST可能会抑制p53信号通路以激活THCA中的CD4+记忆细胞.
在THCA治疗中,UST是一个潜在的治疗点.

关键词:

甲状腺癌 (THCA) 是一种生物标志物生物标志物 p53信号通路的使用预测模型的预测模型.瘤差异化得分瘤差异化得分

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