一个新的预后签名与骨髓瘤中编程细胞死亡有关
Yu-Chen Jiang1, Qi-Tong Xu2, Hong-Bin Wang1
1Affiliated Zhongshan Hospital Of Dalian University, Dalian, China.
Frontiers in immunology
|July 17, 2024
概括
这项研究确定了关键的编程细胞死亡 (PCD) 基因,以创建骨髓瘤编程细胞死亡评分 (OS-PCDS),以改善骨髓瘤预后. 该OS-PCDS模型准确地预测了患者的结果,并突出了潜在的治疗目标.
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:
- 骨髓瘤 (OS) 是患有预后不佳的儿童和青少年常见的骨癌.
- 编程细胞死亡 (PCD) 越来越多地被认为在瘤发育和进展中的作用.
- 目前对OS的预后评估需要加强,以改善患者的治疗结果.
研究的目的:
- 在骨髓瘤中识别与细胞死亡相关的新型预后风险基因.
- 使用机器学习构建和验证骨髓瘤强大的预后风险模型.
- 阐明已识别的基因在骨髓瘤细胞行为中的功能性作用.
主要方法:
- 从TARGET和GEO数据库收集和分析骨髓瘤患者的数据.
- 从文献和数据库中整理了1621个编程细胞死亡 (PCD) 基因.
- 整合了十个机器学习算法来构建骨髓瘤编程细胞死亡得分 (OS-PCDS) 模型.
- 使用独立数据集验证了模型,并进行了基因淘汰实验.
主要成果:
- 确定了30个与骨髓瘤中PCD相关的预后风险基因.
- 使用随机生存森林 (RSF) 算法开发了一个最佳的OS-PCDS模型,包括五个关键基因:MTM1,MLH1,CLTCL1,EDIL3和SQLE.
- 在骨髓瘤细胞中观察到这些基因的mRNA和蛋白质表达的显著变化.
- 证明了CLTCL1,EDIL3和SQLE的淘汰会影响骨髓瘤细胞的增殖,迁移和亡.
结论:
- 使用五个特定基因的OS-PCDS模型,准确地预测骨髓瘤的预后.
- 这些已识别的基因 (CLTCL1,MTM1,MLH1,EDIL3,SQLE) 在骨髓瘤病理生理学中起着至关重要的作用.
- 这些基因代表了潜在的治疗标和骨髓瘤的预后生物标志物.
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