非小细胞肺癌预后模型研究进展

doi:10.3969/j.issn.1004-583X.2025.10.011

摘要/Abstract

摘要：

非小细胞肺癌是全球及中国发病率和死亡率最高的恶性肿瘤之一,其高度异质性导致治疗反应存在显著差异,精准预测模型的构建对于优化治疗策略和改善预后至关重要。近年来,随着分子诊断技术的发展和大数据分析的应用,非小细胞肺癌的预测模型研究取得了重要进展。新型预测模型通过整合基因特征、病理类型、临床数据、影像学信息以及治疗动态变化,能够更准确地评估患者的治疗效果、预后和生存期。例如,基于机器学习算法的模型可有效识别高风险患者,而多组学数据融合模型则进一步提升了预测精度。然而,当前模型在临床应用中仍面临数据标准化、模型泛化能力及多中心验证等挑战。本文综述非小细胞肺癌预测模型的最新研究进展,探讨其在临床实践中的应用前景及未来发展方向,旨在为精准医疗的推进提供理论支持。

关键词: 癌, 非小细胞肺, 预测模型, 机器学习, 多组学

中图分类号:

R730.26

陈雪玲, 韦腾, 肖明明, 斯韬. 非小细胞肺癌预后模型研究进展[J]. 临床荟萃, 2025, 40(10): 943-947.

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链接本文: https://www.lchc.cn/CN/10.3969/j.issn.1004-583X.2025.10.011

https://www.lchc.cn/CN/Y2025/V40/I10/943

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非小细胞肺癌预后模型研究进展

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