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中国早期非状非小细胞肺癌的分子和免疫特征:一个多omics队列研究

Haoxin Peng1,2,3, Xiangrong Wu2,3,4, Xiaoli Cui5

  • 1Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.

Translational lung cancer research
|May 13, 2024
PubMed
概括

这项研究分析了中国患者的早期非状非小细胞肺癌 (NS-NSCLC),揭示了关键突变和免疫标志物. 机器学习模型准确地预测了无疾病生存率,提供了新的预后见解.

关键词:
早期的肺癌 (早期的肺癌)没有疾病的生存率 (DFS)机器学习 (ML) 是一种多种主题的多种主题.

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