细胞代谢
癌症
临床试验
医学
癌症治疗
计算生物学
适应性
生物信息学
破译
生物
内科学
新陈代谢
生态学
作者
Yi Xiao,Tian‐Jian Yu,Ying Xu,Rui Ding,Yiping Wang,Yi‐Zhou Jiang,Zhi‐Ming Shao
出处
期刊:Cell Metabolism
[Elsevier]
日期:2023-08-01
卷期号:35 (8): 1283-1303
被引量:47
标识
DOI:10.1016/j.cmet.2023.07.006
摘要
Metabolic reprogramming in cancer is not only a biological hallmark but also reveals treatment vulnerabilities. Numerous metabolic molecules have shown promise as treatment targets to impede tumor progression in preclinical studies, with some advancing to clinical trials. However, the intricacy and adaptability of metabolic networks hinder the effectiveness of metabolic therapies. This review summarizes the metabolic targets for cancer treatment and provides an overview of the current status of clinical trials targeting cancer metabolism. Additionally, we decipher crucial factors that limit the efficacy of metabolism-based therapies and propose future directions. With advances in integrating multi-omics, single-cell, and spatial technologies, as well as the ability to track metabolic adaptation more precisely and dynamically, clinicians can personalize metabolic therapies for improved cancer treatment.
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