在默克尔细胞癌患者的条件生存分析和长期生存的动态预测
Jin Zhang1,2, Yang Xiang1, Jiqiu Chen1
1The First Affiliated Hospital of the Naval Medical University, Shanghai, China.
Frontiers in medicine
|February 23, 2024
概括
默克尔细胞癌 (MCC) 患者的条件生存率 (CS) 随着时间的推移而增加. 一种新的诺莫格拉姆模型动态估计了预后,有助于对这种罕见的皮肤癌的随访和治疗计划.
科学领域:
- 在瘤学瘤学.
- 皮肤病学 皮肤病学
- 生物统计学 生物统计学
背景情况:
- 默克尔细胞癌 (MCC) 是一种罕见的,具有高死亡率的侵袭性神经内分泌皮肤癌.
- 准确的预后评估和生存率估计对于患者管理至关重要.
- 现有的生存指标可能无法完全捕捉随时间推移的预后的动态性质.
研究的目的:
- 为了估计默克尔细胞癌 (MCC) 患者的条件生存率 (CS).
- 开发和验证一种用于预测MCC患者的CS的新型诺莫格拉姆模型.
- 提供一个动态的工具来评估个人患者的预后随着时间的推移.
主要方法:
- 使用监测,流行病学和最终结果 (SEER) 数据库来获取患者数据.
- 用于预测选的雇员最小绝对缩小和选择操作员 (LASSO) 回归.
- 应用多变量考克斯回归分析来构建和验证基于CS的名图.
主要成果:
- 对3843名MCC患者的分析显示,随着时间的推移,7年CS率的逐渐,非线性增加.
- 对于名图所确定的关键预测因素包括患者年龄,性别,AJCC阶段,手术和放射治疗.
- 开发的基于CS的名图表在验证中表现出良好的预测性能.
结论:
- 对于MCC患者的条件生存是动态的,随着诊断后的生存时间的增加,条件生存率会提高.
- 基于CS的新型名录图为动态生存估计提供了有价值的工具.
- 这个模型可以为MCC提供后续指导方针,生存计划和临床治疗决策.
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