PDF(Pubmed)
Abstract：
Metabolic reprogramming is a hallmark of cancer, driving the development of therapies targeting cancer metabolism. Stable isotope tracing has emerged as a widely adopted tool for monitoring cancer metabolism both in vitro and in vivo. Advances in instrumentation and the development of new tracers, metabolite databases, and data analysis tools have expanded the scope of cancer metabolism studies across these scales. In this review, we explore the latest advancements in metabolic analysis, spanning from experimental design in stable isotope-labeling metabolomics to sophisticated data analysis techniques. We highlight successful applications in cancer research, particularly focusing on ongoing clinical trials utilizing stable isotope tracing to characterize disease progression, treatment responses, and potential mechanisms of resistance to anticancer therapies. Furthermore, we outline key challenges and discuss potential strategies to address them, aiming to enhance our understanding of the biochemical basis of cancer metabolism.
摘要：
代谢重编程是癌症的标志，推动靶向癌症代谢疗法的发展。稳定同位素示踪已成为在体外和体内监测癌症代谢的广泛采用的工具。仪器仪表的进步和新型示踪剂的开发,代谢物数据库，和数据分析工具扩大了癌症代谢研究的范围。在这次审查中,我们探索代谢分析的最新进展，从稳定同位素标记代谢组学的实验设计到复杂的数据分析技术。我们强调在癌症研究中的成功应用，特别关注利用稳定同位素示踪来表征疾病进展的正在进行的临床试验，治疗反应，和抗癌疗法耐药的潜在机制。此外，我们概述了关键挑战，并讨论了解决这些挑战的潜在策略，旨在增强我们对癌症代谢的生化基础的理解。
