建立用于预测乳腺癌患者无病存活率和整体存活率的诺姆图
Ling Zhou1, Lifen Bai2, Huiyin Zhu1
1Department of Thyroid, Breast and Vascular Surgery, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
概括
结合脱酶1 (ALDH1) 和p-AKT的新型诺基图改善了乳腺癌 (BC) 患者无病生存期 (DFS) 和整体生存期 (OS) 的预测. 这些工具有助于评估BC幸存者的预后和指导治疗决策.
科学领域:
- 在瘤学瘤学.
- 生物标志物 生物标志物
- 预测模型的预测建模
背景情况:
- 预后性诺米图对于预测癌症的结果至关重要.
- 化脱酶1 (ALDH1) 和p-AKT是癌症进展的关键因素.
- 准确预测无病生存率 (DFS) 和整体生存率 (OS) 对乳腺癌 (BC) 管理至关重要.
研究的目的:
- 开发和验证用于预测BC患者的DFS和OS的诺姆图.
- 在BC中评估ALDH1和p-AKT的预后价值.
- 将这些生物标志物与临床因素相结合,以提高预测准确度.
主要方法:
- 对BC患者的人口和临床数据的回顾性分析.
- 单变量和多变量考克斯回归以确定独立的风险因素.
- 构建和验证用于DFS和OS预测的nomograms.
- 分层分析以评估预后影响.
主要成果:
- ALDH1,p-AKT和病态阶段III是BC复发的独立风险因素.
- 独立预测的ALDH1,p-AKT,病态阶段III和三阴性状态 (ER-/PR-/HER2-) 的死亡率.
- 开发的诺姆图表显示了DFS和OS的良好预测性能.
- 分层分析显示了基于风险分层的DFS和OS的显著差异.
结论:
- 已建立的整合ALDH1,p-AKT和病理阶段的nomograms有效地预测BC患者的DFS和OS.
- 三重阴性状态可能是OS的重要预测因素,但不是DFS.
- 这些名图为乳腺癌护理中的个性化预后和治疗策略提供了有价值的工具.
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