Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
APCRC-Q, Queensland University of Technology, Brisbane, Queensland, Australia.
Med Res Rev. 2024 May;44(3):1121-1146. doi: 10.1002/med.22010. Epub 2023 Dec 26.
Cancer heterogeneity remains a significant challenge for effective cancer treatments. Altered energetics is one of the hallmarks of cancer and influences tumor growth and drug resistance. Studies have shown that heterogeneity exists within the metabolic profile of tumors, and personalized-combination therapy with relevant metabolic interventions could improve patient response. Metabolomic studies are identifying novel biomarkers and therapeutic targets that have improved treatment response. The spatial location of elements in the tumor microenvironment are becoming increasingly important for understanding disease progression. The evolution of spatial metabolomics analysis now allows scientists to deeply understand how metabolite distribution contributes to cancer biology. Recently, these techniques have spatially resolved metabolite distribution to a subcellular level. It has been proposed that metabolite mapping could improve patient outcomes by improving precision medicine, enabling earlier diagnosis and intraoperatively identifying tumor margins. This review will discuss how altered metabolic pathways contribute to cancer progression and drug resistance and will explore the current capabilities of spatial metabolomics technologies and how these could be integrated into clinical practice to improve patient outcomes.
癌症异质性仍然是癌症治疗的重大挑战。能量代谢改变是癌症的特征之一,影响肿瘤生长和耐药性。研究表明,肿瘤的代谢谱存在异质性,采用相关代谢干预的个体化联合治疗可以提高患者的反应率。代谢组学研究正在确定新的生物标志物和治疗靶点,以提高治疗反应。肿瘤微环境中元素的空间位置对于理解疾病进展变得越来越重要。空间代谢组学分析的发展现在使科学家能够深入了解代谢物分布如何促进癌症生物学。最近,这些技术已经能够在亚细胞水平上解析代谢物的空间分布。有人提出,代谢物图谱可以通过改善精准医学来提高患者的治疗效果,实现早期诊断,并在手术过程中识别肿瘤边界。本文将讨论代谢途径的改变如何促进癌症的进展和耐药性,并探讨空间代谢组学技术的现有能力,以及如何将其整合到临床实践中以改善患者的治疗效果。