通过集成机器学习进行系统性途径选,识别了FOXO介导的转录特征,用于在非小细胞肺癌中预测强大的免疫治疗反应

Shuqi Wu1, Chenxi Deng1,2, Chaofan Fan3

  • 1Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China, fimmu.com.

Human mutation
|January 21, 2026
PubMed
概括

一个新的机器学习模型,FOXO相关签名 (FRS),有效地预测非小细胞肺癌 (NSCLC) 患者对免疫检查点抑制剂 (ICI) 的反应. 这种生物标志物对患者进行了分层,识别出那些可能从免疫治疗中获益最多的患者,以改善生存结果.

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