在30种癌症的进化轨迹中剖析调节细胞死亡状态和转化机制
Yunpeng Zhang1, Qi Ou1, Congxue Hu1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
iScience
|December 4, 2025
概括
这项研究绘制了30种癌症类型的调控细胞死亡 (RCD) 地图,揭示了热和免疫细胞死亡是常见的. 结果提供了对RCD的洞察力.
科学领域:
- 在瘤学瘤学.
- 细胞生物学 细胞生物学
- 计算生物学 计算生物学
背景情况:
- 癌症是一种复杂的疾病,其特征是异常的细胞死亡过程.
- 了解调控细胞死亡 (RCD) 失调对于癌症的进展和治疗至关重要.
- 需要对RCD状态及其在瘤中的进化关系进行系统的绘制.
研究的目的:
- 描述各种癌症类型中瘤细胞中RCD的失调.
- 描绘癌细胞内的不同RCD类型之间的进化关系.
- 为了确定关键的基因和相互作用模式,驱动癌症中的RCD进化.
主要方法:
- 在30种癌症类型的458个样本中对477766个瘤细胞进行单细胞分析.
- 确定15个RCD状态和癌症类型之间的关系.
- 分析与RCD进化相关的相互作用模式,转换模块和驱动基因.
主要成果:
- 确定了15个RCD状态和癌症之间的178种关系.
- 热和免疫细胞死亡在大多数癌症类型中普遍存在,特别是皮肤,血液,消化,泌尿和肺癌.
- 在23种癌症类型中发现了37个显著的相互作用模式,22个转化模块和153个与RCD进化相关的驱动基因.
结论:
- 调节的细胞死亡在癌症进展中起着重要作用.
- 该研究提供了癌症中RCD的全面景观,突出了特定的流行RCD类型.
- 研究结果为开发基于RCD的向癌症治疗提供了洞察力,并介绍了"秘密"视觉平台.
关键词:
癌症系统生物学生物学
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