[代谢组学在肺癌研究中的应用与进展]。

Q4 Medicine
Daoyun Wang, Zhicheng Huang, Bowen Li, Yadong Wang, Zhina Wang, Nan Zhang, Zewen Wei, Naixin Liang, Shanqing Li
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引用次数: 0

摘要

肺癌,特别是非小细胞肺癌(NSCLC),是全球癌症相关死亡的主要原因。近年来,代谢组学已成为分析细胞、组织和生物体中小分子代谢物的关键系统生物学方法。它为早期诊断和代谢谱分析提供了新的策略。此外,代谢组学在研究肺癌的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性转移的需要。本文综述了代谢组学在肺癌研究中的最新进展,重点介绍了代谢重编程的特点、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中的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

[Applications and Advances of Metabolomics in Lung Cancer Research].

[Applications and Advances of Metabolomics in Lung Cancer Research].

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.
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来源期刊
中国肺癌杂志
中国肺癌杂志 Medicine-Pulmonary and Respiratory Medicine
CiteScore
1.40
自引率
0.00%
发文量
5131
审稿时长
14 weeks
期刊介绍: Chinese Journal of Lung Cancer(CJLC, pISSN 1009-3419, eISSN 1999-6187), a monthly Open Access journal, is hosted by Chinese Anti-Cancer Association, Chinese Antituberculosis Association, Tianjin Medical University General Hospital. CJLC was indexed in DOAJ, EMBASE/SCOPUS, Chemical Abstract(CA), CSA-Biological Science, HINARI, EBSCO-CINAHL,CABI Abstract, Global Health, CNKI, etc. Editor-in-Chief: Professor Qinghua ZHOU.
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