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Se-Hoon Lee¹, Sujeong Kim², Jueun Lee³

¹Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, South Korea.

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概括

代谢生物标志物,包括像histidine和乳酸这样的氨基酸,可以预测非小细胞肺癌 (NSCLC) 免疫检查点抑制剂 (ICI) 治疗结果. 特定的胆汁酸和肠道细菌也会影响治疗反应,提供个性化的策略.

科学领域:

代谢学和免疫瘤学
在瘤学中发现生物标志物

背景情况:

免疫检查点抑制剂 (ICI) 已经改变了癌症治疗,但反应率仍然有限 (30-40%).
预测生物标志物对于优化ICI治疗在非小细胞肺癌 (NSCLC) 的疗效至关重要.

研究的目的:

研究氨基酸,糖解和胆酸代谢对NSCLC患者ICI疗效的影响.
为了确定新的代谢生物标志物来预测和增强ICI治疗结果.

主要方法:

在接受ICI治疗的NSCLC患者的向代谢分析.
机器学习分析以确定关键的代谢途径和生物标志物.
代谢物水平与临床反应和生存数据的相关性.

主要成果:

氨基酸代谢是至关重要的;胺 (His) 与良好的结果相关,而同型半氨酸 (HCys),氨酸 (Phe) 和氨酸 (Sar) 表示反应不佳.
这种比率 (His/(HCys+Phe+Sar) 作为一个强大的预测生物标志物.
乳酸水平升高和特定胆酸 (GCDCA,TLCA) 与治疗反应有关;TLCA增强T细胞激活和抗瘤免疫力.
肠道微生物群,特别是Eubacterium属,可能会影响TLCA水平和ICI反应.

结论:

代谢分析揭示了氨基酸,糖解和胆酸通路中的关键生物标志物,用于NSCLC中ICI治疗.
调节这些代谢途径有可能预测和增强ICI的疗效.
这些发现支持基于代谢概况的免疫瘤学个性化治疗策略.

关键词:

氨基酸代谢氨基酸代谢胆酸新陈代谢胆酸新陈代谢糖溶解代谢的代谢过程免疫检查点抑制剂免疫检查点抑制剂代谢分析的代谢分析非小细胞肺癌是非小细胞肺癌.

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