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多omics分析揭示了一种与细胞相关的基因表达特征,用于预测固体癌症的预后和治疗反应

Xiangzhan Kong¹, Xianhua Zhuo², Xi Huang¹

¹Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China; Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.

|September 26, 2024

概括

与瘤相关的皮质细胞会影响癌症的进展. 研究人员在这些细胞中确定了关键基因,以创建一个模型,预测肝癌和肺癌患者的治疗结果和治疗反应.

科学领域:

在瘤学瘤学.
癌症生物学癌症生物学
瘤微环境研究研究

背景情况:

瘤微环境,特别是血管细胞,在癌症进展中扮演着被低估的角色.
瘤衍生性细胞 (TPCs) 是影响癌症发展的瘤层的关键组成部分.

研究的目的:

确定TPC特异性基因,并开发肝癌和肺癌的预后模型.
研究TPC基因配置文件在预测患者预后和治疗反应中的作用.

主要方法:

对转录基因数据 (TCGA) 和蛋白质基因数据的分析,以确定TPC中差异表达的基因.
使用五个关键的TPC相关基因构建预后风险模型.
使用单细胞RNA测序 (GEO数据库) 和免疫染进行验证.
功能性实验涉及TPC中特定基因 (RRAS,AKAP12) 的耗尽.

主要成果:

在TPC中鉴定出51个差异表达的基因.
开发了一个预后风险模型,准确预测肝癌和肺癌的结果和治疗反应.
在来自患者瘤的TPC中验证了AKAP12和RRAS的升级调节.
证明TPC中RRAS和AKAP12的枯竭恢复了它们的血管支持功能.

结论:

与TPC相关的基因配置文件作为预测生物标志物,用于患者的治疗结果和固体癌症的治疗反应.
准TPC基因配置文件代表了癌症治疗的潜在新疗法策略.

关键词:

血管功能血管功能肝细胞癌是肝细胞癌.多个omics的多个omics.非小细胞肺癌是非小细胞肺癌.细胞 (Pericytes) 是一种细胞.预测模型是一个预测模型.

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