Wang Daoyun, Huang Zhicheng, Li Bowen, Wang Yadong, Wang Zhina, Zhang Nan, Wei Zewen, Liang Naixin, Li Shanqing
Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Department of Pulmonary and Critical Care Medicine, Emergency General Hospital, Beijing 100028, China.
Zhongguo Fei Ai Za Zhi. 2025 Jul 20;28(7):533-541. doi: 10.3779/j.issn.1009-3419.2025.106.20.
Lung cancer, particularly non-small cell lung cancer (NSCLC), is a leading cause of cancer-related mortality worldwide. In recent years, metabolomics has emerged as a key systems biology approach for analyzing small-molecule metabolites in cells, tissues and organisms. It provides new strategies for early diagnosis and metabolic profiling. Additionally, metabolomics plays a crucial role in studying resistance mechanisms in lung cancer. Tumor cell metabolic reprogramming is a key driving factor in the initiation and progression of lung cancer. Metabolomics studies have revealed how lung cancer cells regulate critical pathways such as energy metabolism, lipid metabolism, and amino acid metabolism to adapt to the demands of rapid proliferation and invasive metastasis. This review summarizes the latest advances in metabolomics research in lung cancer, focusing on the characteristics of metabolic reprogramming, the identification of potential metabolic biomarkers, and the prospects of metabolomics in early diagnosis and the elucidation of resistance mechanisms in lung cancer. .
肺癌，尤其是非小细胞肺癌（NSCLC），是全球癌症相关死亡的主要原因。近年来，代谢组学已成为一种关键的系统生物学方法，用于分析细胞、组织和生物体中的小分子代谢物。它为早期诊断和代谢谱分析提供了新策略。此外，代谢组学在研究肺癌耐药机制中起着至关重要的作用。肿瘤细胞代谢重编程是肺癌发生和发展的关键驱动因素。代谢组学研究揭示了肺癌细胞如何调节能量代谢、脂质代谢和氨基酸代谢等关键途径，以适应快速增殖和侵袭转移的需求。本文综述了肺癌代谢组学研究的最新进展，重点关注代谢重编程的特征、潜在代谢生物标志物的鉴定，以及代谢组学在肺癌早期诊断和耐药机制阐明方面的前景。
