机器学习揭示了脂代谢在瘤微环境中的作用和肺癌免疫疗法
Lili Xu1, Jianchun Wu1, Jianhui Tian1
1Clinical Medical Center of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Journal of cellular and molecular medicine
|March 31, 2025
概括
脂代谢会影响肺癌中的瘤微环境 (TME),影响免疫逃避和治疗反应. 像ASAH1和SMPD1这样的关键基因是预后标记物,影响免疫细胞活性和癌症风险.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 代谢学 代谢学 代谢学
背景情况:
- 瘤微环境 (TME) 对癌症的发展,免疫逃避和治疗反应至关重要.
- 脂体代谢调节TME内的细胞过程和免疫异质性.
研究的目的:
- 在肺腺癌 (LUAD) 和肺状细胞癌 (LUSC) TME中识别与脂代谢相关的基因.
- 调查这些基因,免疫细胞透和患者结果之间的关联.
- 探索脂代谢在肺癌免疫逃避和治疗反应中的作用.
主要方法:
- 对TCGA和GTEx数据库的转录分析.
- 机器学习算法 (拉索回归,生存SVM) 用于预后标记物识别.
- 单细胞RNA测序 (scRNA-seq) 用于肺癌细胞中的基因表达分析.
- 调解影响分析,以评估免疫细胞,代谢物和癌症风险之间的关系.
主要成果:
- 肺癌中脂代谢基因的调节失调,与免疫细胞透和TME重塑相关.
- ASAH1和SMPD1被确定为显著的预后标志物.
- scRNA-seq显示T细胞,巨细胞和纤维细胞的基因表达升高.
- 斯芬哥米林部分调解了T淋巴细胞丰富度和肺癌风险之间的联系.
- 高风险的肺癌通过改变调节性T细胞和巨细胞两极分化,显示出增强的免疫逃避.
结论:
- 脂代谢显著影响肺癌TME的形成.
- 脂代谢的失调有助于免疫逃避,并影响预后结果.
- 向脂代谢途径可能为肺癌免疫治疗提供新的治疗策略.
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