一种基于RAS基因相关集群的新型预后风险评分模型,用于儿科急性髓性白血病
Cai-Ju Luo1,2, Yilimuguli Abudukeremu3, Ming-Liang Rao1,2
1Department of Pediatrics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Cancer medicine
|March 10, 2025
概括
这项研究确定了26个与RAS途径相关的差异表达基因 (DEG),以创建儿科急性髓性白血病 (AML) 的预后风险评分模型. 该模型有效预测患者的生存率,并为AML提供潜在的治疗点.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 遗传学 是一个遗传学.
背景情况:
- 儿科急性髓性白血病 (AML) 的预后有所改善,但其致病性仍然不清楚.
- 与RAS通路相关的基因与AML的发展和进展有关.
研究的目的:
- 用生物信息学研究小儿AML中的RAS通路相关基因.
- 确定关键基因并开发AML的预后风险评分模型.
主要方法:
- 使用UCSC Xena和GSE192638数据集进行培训和验证.
- 采用Cox和LASSO回归来识别与预后相关的基因并构建风险模型.
- 进行了生存分析,免疫透和药物敏感性相关性分析.
主要成果:
- 开发了一种预后风险评分模型,其中包含26个差异表达基因 (DEGs).
- 该模型有效地将患者分为高风险和低风险组,具有不同的生存结果.
- 风险评分与免疫透和药物敏感性有显著的相关性;GCSAML,MED12L和TCF4在AML中表达高.
结论:
- 开发的预后风险评分模型和确定的关键基因作为儿科AML的潜在预后生物标志物.
- 这些发现为改善儿科AML治疗结果提供了有希望的治疗点.
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