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开发一个预测模型,并揭示免疫影响肺癌脑转移的预后的肺癌

Bowen Wang^1,2, Mengjia Peng², Yan Li³

¹Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.

Frontiers in oncology

|March 18, 2025

概括

肺癌引起的大脑转移显著降低了生存率. 一个新的诺莫格拉姆模型预测了存活率,并帮助脑转移肺癌患者的临床决策.

科学领域:

在瘤学瘤学.
医学统计医学统计
免疫学免疫学免疫学

背景情况:

初级肺癌 (LCs) 经常转移到大脑,导致患者的治疗结果不佳.
了解脑转移 (BM) 的LC的生存和免疫状况对于改善管理至关重要.

研究的目的:

调查LC和BM患者的生存期和免疫状况.
开发和验证一个预测模型的生存在LCs与BM.

主要方法:

从SEER数据库中分析了86,763个初级LC,其中有15,180个具有BM.
使用考克斯回归和机器学习验证构建一个名ogram预测模型.
使用流细胞计和ELISA检测免疫状况的探索.

主要成果:

来自LC的BM的患病率为17.49%.
患有BM的LC的中位生存时间为8个月,而没有BM的寿命为16个月 (p <0.001).
一个经过验证的名图表显示出强大的预测性能 (AUC 0.857-0.786) 并与免疫状态相关.

结论:

大脑转移显著恶化了肺癌患者的预后.
开发的诺姆图是临床决策和患者管理的宝贵工具.
该模型与免疫状况的关联需要进一步调查.

关键词:

大脑转移是大脑转移.免疫学免疫学免疫学肺癌是肺癌,肺癌是肺癌.模型模型模型模型模型模型预后预后预后

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