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基于与预后相关的RNA结合蛋白的食道癌预后模型的构建和验证

Yinzhong Sha¹, Abdusemer Reyimu¹, Wen Liu¹

¹Department of Laboratory Medicine, The First People's Hospital of Kashi, Kashi City, China.

|September 17, 2024

概括

这项研究确定了六种RNA结合蛋白 (RBPs),可以预测食道癌 (ESCA) 患者的生存率. 这些RBPs可能为ESCA治疗提供新的点.

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:

食道癌 (ESCA) 的预后仍然是一个挑战.
确定可靠的预后生物标志物对于患者的治疗结果至关重要.
RNA结合蛋白 (RBPs) 在基因调节和癌症发展中起着重要作用.

研究的目的:

使用RBPs构建ESCA的预后模型.
评估预后RBP在ESCA中的功能作用.
探索ESCA的潜在治疗目标.

主要方法:

利用癌症基因组图谱 (TCGA) 的RNA-seq数据用于ESCA.
选了差异表达的基因,并确定了预后RBP.
采用COX回归来构建预后风险模型.
使用ROC曲线,卡普兰-梅尔分析和决策曲线分析验证模型性能.

主要成果:

在ESCA中确定了105个RBP,构建了一个6个RBP预后模型 (ARHGEF28,BOLL,CIRBP,DKC1,SNRPB,TRIT1).
高风险组的预后明显较差.
该模型表现出对5年生存率 (AUC=0.90) 的强大预测能力.
六个确定的RBPs也显示出ESCA的良好诊断能力.

结论:

ARHGEF28,BOLL,CIRBP,DKC1,SNRPB和TRIT1与ESCA预后有显著的相关性.
这些RBP可能成为食道癌症的新治疗点.
开发的预后模型有助于预测患者的生存率和指导治疗策略.

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