单细胞和空间转录组分析揭示了瘤细胞异质性和结直肠癌的潜在分子程序
Teng Wang1, Zhaoming Chen1, Wang Wang2,3
1Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
Frontiers in immunology
|March 27, 2025
概括
结肠直肠癌 (CRC) 异质性使用单细胞转录组学分析,以识别恶性细胞表达程序 (MCEPs). 这导致了一个预后模型,并将TIMP1确定为个性化CRC治疗的潜在治疗标.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 大肠直肠癌 (CRC) 是一种高度异质的瘤,在治疗和预后方面存在挑战.
- 瘤异质性为开发个性化治疗策略提供了潜力.
研究的目的:
- 通过识别恶性细胞表达程序 (MCEPs) 来表征结肠直肠癌 (CRC) 异质性.
- 开发用于CRC风险预测的预后模型.
- 确定CRC的潜在治疗点.
主要方法:
- 分析单细胞转录组数据,使用共识非负矩阵分解来识别MCEPs.
- 使用Monocle3和NicheNet.Net,构建MCEP和免疫/细胞之间的交叉网络.
- 使用拉索和考克斯回归方法整合临床数据和基因表达的预后模型的开发,以及通过PPI网络和分子对接来识别药物标.
主要成果:
- 在CRC中发现了8种不同的MCEP,MCEP与其他瘤微环境细胞之间建立了交叉通讯网络.
- 一个15基因的预后模型在预测患者1-10年后的结果方面表现出高准确度 (AUC>0.8).
- 确定TIMP1基因是关键标,预测有几种潜在药物用于向治疗.
结论:
- 描述恶性细胞转录程序有效地揭示了CRC等异质瘤的生物特征.
- 这种方法显示出改善CRC预后评估和指导向治疗开发的巨大潜力.
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