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基于SEER数据库的急性髓性白血病预测模型的预测模型建立预后因素

Gangping Li¹, Di Zhang², Yuewen Fu³

¹Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.

Scientific reports

|January 8, 2025

概括

这项研究开发了名图来预测急性髓性白血病 (AML) 的生存率,具有t(9;11) 转位. 这些工具使用患者因素来分类风险,并指导治疗决策以获得更好的结果.

科学领域:

血液学血液学血液学
在瘤学瘤学.
癌症预后癌症预后

背景情况:

具有t(9;11) (p22; q23) 转位的急性髓性白血病 (AML) 是一种独特的血液性恶性瘤.
这种特定的转位是AML中最常见的11q23/KMT2A重排,需要定制的预后工具.

研究的目的:

开发和验证一个精确的诺姆图,用于预测AML患者的整体存活率 (OS) 和癌症特异性存活率 (CSS).
确定影响这种AML亚型生存的关键预后因素.

主要方法:

利用监测,流行病学和最终结果 (SEER) 数据库 (2000-2021) 来确定相关的患者队列.
采用最小绝对收缩和选择操作员 (LASSO) 回归来确定名ogram构造的预测变量.
使用一致性指数 (C指数),校准图,ROC曲线,AUC和决策曲线分析 (DCA) 评估模型性能,遵循TRIPOD指南.

主要成果:

开发了结合年龄,种族,第一个原发性瘤和化疗的诺姆图,达到OS的C指数为0.704,CSS的0.686.
成功地将患者分为高风险和低风险组,在OS和CSS中显示了统计学上显著的差异 (P < 0.001).
诺米图准确预测1年,3年和5年的生存率.

结论:

开发的诺基图为在t(9;11) AML中精确的生存预测提供了有价值的工具.
这些预后模型整合了临床和治疗数据,有助于风险分层和个性化患者管理.
这项研究提供了创新的工具,以改善被诊断患有这种特定AML亚型的患者的治疗结果.

关键词:

分析分析分析这个名字叫做Nomogram.预测预后预测预测塞尔 (Seer) 是一个明星.T (911) (p22q23) 急性骨髓性白血病的发生

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