PO.MCB09.06 · 分子与细胞生物学
在肿瘤类器官中检测线粒体靶向抗癌药物
Detection of mitochondria-targeting anticancer agents in tumor organoids
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
线粒体重编程是癌症的一个标志,使肿瘤细胞能够适应恶劣的微环境并抵抗治疗。虽然某些癌症抑制氧化磷酸化,但另一些癌症仍高度依赖线粒体呼吸,使线粒体成为一个有吸引力的治疗靶点。本研究提出了一套稳健的工作流程,使用Agilent Seahorse XF Flex分析仪和XF Flex类器官微孔板评估癌症类器官中的线粒体功能和药物诱导的线粒体毒性。使用包埋于Matrigel中的结肠癌细胞系来源类器官,评估了充分表征的代谢调节剂二甲双胍的线粒体抑制作用。Seahorse XF 3D Mito Stress Test和XF Mito Tox Assay实现了氧消耗率(OCR)的实时测量,并通过Mito Tox指数(MTI)——一种区分抑制与解偶联的无量纲指标——对线粒体毒性进行定量。该工作流程结合了优化的类器官接种、基于图像的标准化以及使用XF Flex类器官微孔板的可重复代谢谱分析。结果显示二甲双胍呈剂量依赖性的线粒体抑制,并揭示了2D单层培养与3D类器官培养之间的差异易感性。这些发现验证了XF技术在临床前癌症研究中用于基于类器官的代谢谱分析的兼容性,并强调了MTI在线粒体靶向药物跨模型效力比较中的实用性。该方法支持开发与FDA减少动物实验和改善临床转化性倡议相一致的新方法学(NAMs)。该工作流程易于适配患者来源类器官(PDO)模型,为肿瘤学中筛选线粒体靶向疗法提供了一个可扩展的平台。
查看英文原文 English abstract
Mitochondrial reprogramming is a hallmark of cancer, enabling tumor cells to adapt to hostile microenvironments and resist therapy. While some cancers suppress oxidative phosphorylation, others remain highly dependent on mitochondrial respiration, making mitochondria an attractive therapeutic target. This study presents a robust workflow for evaluating mitochondrial function and drug-induced mitochondrial toxicity in cancer organoids using the Agilent Seahorse XF Flex Analyzer and XF Flex Organoid Microplate. Colon cancer cell line-derived organoids embedded in Matrigel were used to evaluate the mitochondrial inhibitory effects of metformin, a well-characterized metabolic modulator. The Seahorse XF 3D Mito Stress Test and XF Mito Tox Assay enabled real-time measurement of oxygen consumption rate (OCR) and quantification of mitochondrial toxicity via the Mito Tox Index (MTI) - a unitless metric that differentiates between inhibition and uncoupling. The workflow incorporates optimized organoid seeding, image-based normalization, and reproducible metabolic profiling using the XF Flex Organoid Microplate. Results demonstrated dose-dependent mitochondrial inhibition by metformin and revealed differential susceptibility between 2D monolayer and 3D organoid cultures. These findings validate the compatibility of XF technology for organoid-based metabolic profiling in preclinical cancer research and underscore the utility of the MTI for cross-model potency comparisons of mitochondrial-targeting agents. This approach supports the development of new approach methodologies (NAMs) aligned with FDA initiatives to reduce animal testing and improve clinical translatability. The workflow is readily adaptable to patient-derived organoid (PDO) models, offering a scalable platform for screening mitochondrial-targeting therapies in oncology.
利益披露 Disclosure
Y. Kam,
Agilent Technologies, Inc. Employment.
L. Winer,
Agilent Technologies, Inc. Employment.
N. Romero,
Agilent Technologies, Inc. Employment.