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基于机器学习的建立和验证与年龄相关的模式,以便在瘤微环境的背景下预测非小细胞肺癌的预后

Zeming Ma¹, Haibo Han², Zhiwei Zhou¹

¹Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.

|August 7, 2023

概括

衰老显著影响非小细胞肺癌 (NSCLC) 的结果. 这项研究确定了与衰老相关的基因和亚型,揭示了NSCLC患者不同的免疫微环境和不同的免疫治疗反应.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
免疫学免疫学免疫学

背景情况:

非小细胞肺癌 (NSCLC) 是全球癌症死亡的主要原因.
衰老对NSCLC临床结果和免疫反应的影响尚不清楚.

研究的目的:

通过分析与衰老相关的基因,研究衰老对NSCLC的影响.
开发一个与衰老相关的丰富分数,用于NSCLC患者分层.
探索衰老亚型,瘤微环境和免疫治疗反应之间的关系.

主要方法:

利用来自人类衰老基因组资源的307个人类衰老基因进行NSCLC分析.
确定了与整体存活相关的与衰老相关的基因.
开发了一个与衰老相关的丰富分数,并进行了共识聚类.
分析了瘤微环境概况和免疫疗法响应在已识别的衰老亚型.

主要成果:

确定了53个与衰老相关的基因与NSCLC患者存活率有显著联系,包括BUB1B.
发现了两个不同的与衰老相关的NSCLC亚型,具有独特的瘤微环境特征.
在已识别的衰老亚型之间观察到免疫治疗的不同反应.
与衰老相关的丰富度得分的已证明的预后和治疗反应值.

结论:

衰老影响NSCLC的进展和免疫反应,定义了不同的患者亚型.
已识别的衰老亚型为NSCLC提供了个性化治疗策略的见解.
这些发现支持针对新型治疗方法的NSCLC治疗的衰老途径.

关键词:

衰老的衰老衰老的衰老免疫子类型免疫子类型非小细胞肺癌的肺癌.转录组 (transcriptome) 是一个转录组.

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