Gao Yuqing, Xiong Zhirou, Wei Xinyi
School of Pharmacy and Medical Technology, Putian University, Putian 351100, China.
Fujian Province University, Key Laboratory of Pharmaceutical Analysis and Laboratory Medicine (Putian University), Putian 351100, China.
Metabolites. 2025 Jul 31;15(8):513. doi: 10.3390/metabo15080513.
Mitochondria, pivotal organelles in cellular metabolism and energy production, have emerged as critical players in the pathogenesis of cancer. This review outlines the progress in mitochondrial profiling through mass spectrometry-based metabolomics and its applications in cancer research. We provide unprecedented insights into the mitochondrial metabolic rewiring that fuels tumorigenesis, metastasis, and therapeutic resistance. The purpose of this review is to provide a comprehensive guide for the implementation of mitochondrial metabolomics, integrating advanced methodologies-including isolation, detection, and data integration-with insights into cancer-specific metabolic rewiring. We first summarize current methodologies for mitochondrial sample collection and pretreatment. Furthermore, we then discuss the recent advancements in mass spectrometry-based methodologies that facilitate the detailed profiling of mitochondrial metabolites, unveiling significant metabolic reprogramming associated with tumorigenesis. We emphasize how recent technological advancements have addressed longstanding challenges in the field and explore the role of mitochondrial metabolism-driven cancer development and progression for novel drug discovery and translational research applications in cancer. Collectively, this review delineates emerging opportunities for therapeutic discovery and aims to establish a foundation for future investigations into the therapeutic modulation of mitochondrial pathways in cancer, thereby paving the way for innovative diagnostic and therapeutic approaches targeting mitochondrial pathways.
线粒体作为细胞代谢和能量产生的关键细胞器,已成为癌症发病机制中的关键因素。本综述概述了基于质谱的代谢组学在线粒体分析方面的进展及其在癌症研究中的应用。我们对推动肿瘤发生、转移和治疗耐药性的线粒体代谢重排提供了前所未有的见解。本综述的目的是为线粒体代谢组学的实施提供全面指南,将包括分离、检测和数据整合在内的先进方法与对癌症特异性代谢重排的见解相结合。我们首先总结了当前线粒体样本收集和预处理的方法。此外,我们接着讨论了基于质谱的方法的最新进展,这些方法有助于对线粒体代谢物进行详细分析,揭示与肿瘤发生相关的显著代谢重编程。我们强调了最近的技术进步如何解决该领域长期存在的挑战,并探讨了线粒体代谢驱动的癌症发展和进展在癌症新药发现和转化研究应用中的作用。总体而言,本综述阐述了治疗发现的新机会,并旨在为未来研究癌症中线粒体途径的治疗调节奠定基础,从而为靶向线粒体途径的创新诊断和治疗方法铺平道路。