解读细胞状态和细胞生态系统,以改善急性髓性白血病的风险分层
Zheyang Zhang1,2, Ronghan Tang1, Ming Zhu1
1State Key Laboratory of Cellular Stress Biology, Xiang'an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang'an South Road, Xiamen, Fujian 361102, China.
Briefings in bioinformatics
|January 27, 2025
概括
这项研究通过分析单细胞转录组,揭示了一个独特的急性髓性白血病细胞生态系统 (ACE). ACE签名 (ACEsig) 准确预测患者的预后,改善了急性髓性白血病 (AML) 的风险分层.
科学领域:
- 基因组学和生物信息学
- 癌症生物学 癌症生物学
- 免疫学 免疫学 免疫学
背景情况:
- 急性髓性白血病 (AML) 在恶性和免疫细胞中表现出大量的细胞异质性,影响临床结果.
- 了解这种异质性对于开发AML中有效的风险分层策略至关重要.
研究的目的:
- 在急性髓性白血病 (AML) 中使用单细胞转录组图谱系统剖析细胞异质性.
- 确定用于预测AML预后和改善风险分层的新生物标志物.
主要方法:
- 一个AML单细胞转录组图谱的构建.
- 应用拟议的sciNMF工作流程来识别不同的白血病和免疫细胞状态.
- 对细胞状态共存模式的分析,以定义AML细胞生态系统 (ACE).
- 使用基因表达数据开发和验证ACE签名 (ACEsig).
主要成果:
- 鉴定了26种不同的白血病和免疫细胞状态,与临床变量,突变和预后相关.
- 发现了一种独特的AML细胞生态系统 (ACE),与异常的瘤微环境和糟糕的生存率相关.
- 开发了12个基因的ACE签名 (ACEsig),可以准确预测AML的预后,超过现有的签名.
- 在细胞遗传学上正常的AML和密集治疗的患者队列中,ACEsig的表现强.
结论:
- 细胞异质性的系统性表征为AML复杂性提供了关键的见解.
- ACE签名 (ACEsig) 提供了一个强大的工具,用于在急性髓性白血病 (AML) 中精确地分层风险.
- 这种方法增强了对AML异质性的理解,并支持个性化治疗策略.
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