直接的细胞相互作用可能会调节转录程序,控制高度血清性卵巢癌患者对治疗的反应
Sodiq A Hameed1, Walter Kolch2,3, Donal J Brennan2,4
1Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland. sodiq.hameed@ucdconnect.ie.
Scientific reports
|April 25, 2025
概括
卵巢癌中的物理细胞-细胞相互作用 (PCI) 预测治疗反应. 良好的响应者显示免疫细胞参与,而不良响应者增加了癌症-瘤相互作用,突出显示PCI.
科学领域:
- 癌症生物学 癌症生物学
- 免疫学 免疫学 免疫学
- 生物信息学是一种生物信息学.
背景情况:
- 瘤微环境包括复杂的细胞网络,具有直接的物理细胞-细胞相互作用 (PCI).
- 这些相互作用可以影响患者对临床治疗的反应.
- 单细胞RNA测序 (scRNA-seq) 通常不包括双胞胎,这可能代表相互作用的细胞.
研究的目的:
- 从scRNA-seq双重体中推断一个物理细胞相互作用 (PCI) 网络.
- 研究PCI与卵巢癌临床预后之间的关系.
- 确定治疗反应分层的基础分子机制.
主要方法:
- 从7名未接受过治疗的卵巢癌患者的scRNA-seq数据中推断出PCI网络.
- 专注于癌症-流体PCI,以根据临床反应对患者进行分层.
- 分析了基因特征,联体受体网络,基因调控网络和转录因子集群.
主要成果:
- 根据患者对标准治疗的反应,PCI网络对患者进行了分层.
- 良好的响应者表现出涉及免疫细胞的PCI,而不良响应者表现出丰富的癌症-瘤PCI.
- 确定了与临床结果相关的独特的分子相互作用网络,基因特征和转录因子模块.
结论:
- 由PCI驱动的转录变化预测卵巢癌患者对治疗的反应.
- 主体对瘤的免疫反应提高了治疗效率.
- 癌症-状细胞相互作用可以产生双重效应,支持或抑制治疗反应.
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