对RNA修饰酶的多omics表征确定了NAT10作为肝细胞癌中功能验证的预后生物标志物
Qianqian Zhan1,2,3, Huihui Sun2,3, Xiangting Wang2,3
1Division of Life Sciences and Medicine, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China.
Frontiers in immunology
|February 13, 2026
概括
这项研究揭示了在癌症中广泛存在的RNA修饰酶 (RME) 失调,与副本数量变化有关. 一个12RME签名和6基因模型提供诊断和预后价值,NAT10显示在肝癌中的潜力.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- RNA修饰酶 (RME) 是重要的转录后调节剂.
- 它们的失调与癌症的发病和进展有关.
- 全球模式和RME在癌症中的临床相关性尚未完全理解.
研究的目的:
- 分析RME表达,拷贝数变化 (CNV) 和多种癌症类型的临床结果.
- 使用机器学习识别瘤歧视RME签名.
- 研究瘤微环境中的RME作用,并预测药物敏感性.
主要方法:
- 对RME表达和CNV的综合性多omics分析.
- 机器学习用于RME签名识别.
- 单细胞RNA测序 (scRNA-seq) 用于瘤微环境分析.
- 开发和验证LASSO衍生的预后模型.
- 药物敏感性预测和功能性测试 (EdU,qRT-PCR,IHC). 药物敏感性预测和功能性测试 (EdU,qRT-PCR,IHC). 药物敏感性预测和功能性测试 (EdU,qRT-PCR,IHC). 药物敏感性预测和功能性测试 (EdU,qRT-PCR,IHC). 药物敏感性预测和功能性测试.
主要成果:
- 在癌症中,RME被广泛上调,与CNV增长有关.
- 一个12-RME签名有效地区分瘤和正常组织.
- 单细胞分析揭示了瘤透细胞中的RME丰富,T细胞亚群中的特定模式.
- 一个6基因预后模型证明了独立的预后能力.
- 功能性测试表明NAT10在肝细胞癌 (HCC) 扩散中的潜在作用.
结论:
- 跨癌症的RME失调的CNV相关景观被描绘出来.
- 建立了一个12RME诊断签名和一个6基因预后模型.
- 单细胞分析提供了关于RME表达异质性的见解.
- 这些发现为了解RME在癌症进展和临床分层中的作用提供了一个框架.
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