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Updated: Jul 24, 2025

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对状细胞癌的不同风险模型进行比较和验证
Haiyue Lin1, Qi Sun2, Zeyang Li3
1Department of Pathology, Xuzhou Medical University Affiliated Hospital of Lianyungang, Lianyungang, China.
维纳斯系统准确预测乳头脏细胞癌复发风险,优于其他模型. 它可以识别高风险患者的关键基因突变和免疫细胞变化.
科学领域:
- 在瘤学瘤学.
- 生殖尿路病理学
- 癌症基因组学 癌症基因组学
背景情况:
- 乳头细胞癌 (PRCC) 的预后不确定,因为多个算法缺乏关于疗效的共识.
- 准确的风险分层对于预测PRCC复发和指导治疗至关重要.
研究的目的:
- 为了比较当前预后模型预测PRCC复发风险的能力.
- 评估VENUSS,SSIGN,UISS和莱博维奇模型在分层患者中的性能.
主要方法:
- 使用了PRCC队列 (308名机构,279名TCGA患者).
- 使用Kaplan-Meier和一致性指数 (c-index) 评估无复发生存率 (RFS),疾病特异性生存率 (DSS) 和整体生存率 (OS).
- 分析基因突变和免疫细胞透与使用TCGA数据风险组相关的基因突变和免疫细胞透.
主要成果:
- 所有算法对RFS,DSS和OS (P < 0.001) 的患者进行了分层.
- 金星在RFS中表现出最高和最平衡的c指数 (0.815).
- ISUP等级,TNM阶段和莱博维奇模型显示最低的c指数;金星高风险患者有KMT2D/PBRM1突变和Treg细胞增加.
结论:
- 与SSIGN,UISS和莱博维奇模型相比,VENUSS系统为PRCC复发提供了更高的预测准确度.
- 维纳斯风险分层与特定的基因突变 (KMT2D,PBRM1) 和免疫微环境变化 (Treg细胞) 相相关.
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