在中国患者的瘤扩散和免疫相关生物标志物基础上开发和验证卵巢癌的预后
Yanan Ren1, Ying Jin2, Ren Xu1
1Department of Gynecology, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
International journal of women's health
|September 2, 2025
概括
通过使用瘤扩散和免疫生物标志物, 一种新的诺莫格拉姆模型准确地预测卵巢癌的预后. 这种工具有助于对患者进行分层和个性化治疗,以获得更好的结果.
科学领域:
- 癌症学
- 生物标志物
- 预测模型
背景情况:
- 表皮卵巢癌 (EOC) 的预后很复杂.
- 预测模型对于个性化治疗策略至关重要.
研究的目的:
- 开发和验证用于表皮卵巢癌 (EOC) 预后的诺姆图预测模型.
- 使用瘤扩散和与免疫相关的生物标志物来提高预测准确度.
主要方法:
- 从140名EOC患者 (2018-2023) 收集的临床数据.
- 通过免疫组织化学评估Ki67,EGFR和PD- L1表达.
- 使用拉索-考克斯回归来选择变量和构建名录.
- 使用ROC曲线,一致性指数和校准图表验证模型性能.
主要成果:
- 纳米图包括最大瘤直径,KI67阳性率,病态等级,N阶段,M阶段,KI67≥20%,PD-L1>0.
- 在训练中达到高AUC (0. 908- 0. 965,在验证中达到0. 802- 0. 835)
- 证明了良好的校准和优于TNM的分期.
- 高风险得分与较低的总体和无进展生存率有显著的相关性.
结论:
- 一个经过验证的卵巢图谱模型有效预测卵巢癌的预后.
- 该模型整合了瘤扩散和免疫生物标志物的临床实用性.
- 这种工具支持个性化治疗策略的卵巢癌管理.
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