建立基于潜在基因的HBV-HCC预后模型和免疫特征,通过蛋白相互作用网络挖掘潜在基因
Qingxiu Li1, Kejia Wu1, Yiqi Zhang1
1Department of Cell Biology and Medical Genetics, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China.
Journal of cancer research and clinical oncology
|June 26, 2023
概括
研究人员确定了预后潜在基因 (PPG),以预测乙型肝炎病毒 (HBV) 感染患者的肝细胞癌 (HCC) 风险. 使用这些基因的风险评估模型可靠地预测了患者的结果和生存率.
科学领域:
- 在瘤学瘤学.
- 病毒学 病毒学
- 遗传学 是一个遗传学.
背景情况:
- 肝细胞癌 (HCC) 是一个主要的全球健康问题,特别是在乙型肝炎病毒 (HBV) 患病率高的地区.
- 准确的预后评估对于有效的HCC管理和治疗策略至关重要.
研究的目的:
- 确定与HBV相关的HCC相关的人类蛋白质编码基因.
- 使用已识别的基因,为HBV-HCC患者开发预后风险评估模型.
主要方法:
- 用文献选和蛋白质与蛋白质相互作用 (PPI) 网络分析来选择相关的基因.
- 考克斯回归分析确定了预后潜在基因 (PPG),并构建了一个风险评分模型.
- 卡普兰-梅尔分析评估了整体存活率,并对患者组织进行了实验验证.
主要成果:
- 开发的风险评估模型显示出对HCC预后有很强的预测能力.
- 与高风险组相比,低风险组的患者的整体存活率明显更高.
- 在HCC组织中观察到CYP2C19,FLNC,HNRNPC和UBE3A等基因的差异表达.
结论:
- 预后潜能基因 (PPG) 对于预测HBV-HCC患者的预后风险非常有价值.
- 这些基因在瘤免疫微环境,临床特征和肝癌的整体预后方面发挥着重要作用.
- 这些发现支持PPG在肝癌诊断和治疗中的实用性.
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