转移的模式作为乳腺癌患者脑转移的危险因素:一个时间依赖的Cox回归
Eunbin Park1, Jung Ho Park2, Hong Kyu Lee3
1Department of Medicine, Hallym University College of Medicine, Chuncheon, South Korea.
Asia-Pacific journal of clinical oncology
|January 21, 2026
概括
转移器官的数量和位置是乳腺癌患者大脑转移的关键预测因素. 识别高风险个体可以通过个性化查来改善早期检测.
科学领域:
- 在瘤学瘤学.
- 医学统计 医学统计
背景情况:
- 大脑转移显著恶化了乳腺癌患者的预后.
- 由于依赖于静态基线特征,现有的预测模型缺乏临床实用性.
研究的目的:
- 为了确定与乳腺癌中大脑转移发展相关的因素.
- 用时间依赖的考克斯回归来进行动态风险评估.
主要方法:
- 对2459名接受手术的乳腺癌患者 (2002-2020年) 的回顾性审查.
- 时间依赖的共变量分析,包括转移器官的数量.
- 多变量考克斯回归以确定大脑转移的独立预测因子.
主要成果:
- 在中位数62个月的随访期间,2.4%的患者发生了脑转移.
- 先进的T阶段,荷尔蒙受体消极性和转移性器官负担独立预测大脑转移.
- 转移性负担增加显示大脑转移的危险比率 (HRs) 显着更高.
- 骨转移与较低的风险相关 (HR=0.280),而软组织转移风险增加 (HR=4.048).
结论:
- 遥远转移的数量和部位是脑转移的关键风险因素.
- 为高风险乳腺癌患者推个性化大脑查策略,以实现早期检测.
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