Yang Xingyun, Artibani Mara, Jin Yongcheng, Aggarwal Aneesh, Zhang Yujia, Muñoz-Galvan Sandra, Mikhailova Ellina, Rai Lena, Mukherjee Nobina, Kumar Ravinash Krishna, Albukhari Ashwag, Ma Shaohua, Zhou Linna, Ahmed Ahmed Ashour, Bayley Hagan
Department of Chemistry, University of Oxford, Oxford, OX1 3TA, UK.
Ovarian Cancer Cell Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Adv Healthc Mater. 2025 May;14(14):e2404072. doi: 10.1002/adhm.202404072. Epub 2025 Feb 9.
The poor survival of ovarian cancer patients is linked to their high likelihood of relapse. In spite of full apparent macroscopic clearance, tumor recurrences arise from cells that are resistant to primary chemotherapy in the form of minimal residual disease (MRD). MRD exhibits distinct molecular drivers from bulk cancer and therefore necessitates alternative therapeutic strategies. However, there is a lack of 3D models that faithfully recapitulate MRD ex vivo for therapy development. This study constructs microfluidics-based 3D microtumors to generate a clinically-relevant model for ovarian cancer MRD. The microtumors recapitulate the non-genetic heterogeneity of ovarian cancer, capturing the "Oxford Classic" five molecular signatures. Gene expression in the 3D microtumors aligns closely with MRD from ovarian cancer patients and features the upregulation of fatty acid metabolism genes. Finally, the MRD 3D microtumors respond to the approved fatty acid oxidation inhibitor, perhexiline, demonstrating their utility in drug discovery. This system might be used as a drug-testing platform for the discovery of novel MRD-specific therapies in ovarian cancer.
卵巢癌患者生存率低与其高复发可能性有关。尽管在宏观上肿瘤似乎已完全清除,但肿瘤复发源于以微小残留病(MRD)形式存在的对一线化疗耐药的细胞。MRD具有与大块癌不同的分子驱动因素,因此需要替代治疗策略。然而,缺乏能在体外忠实地重现MRD以用于治疗开发的三维模型。本研究构建了基于微流控的三维微肿瘤,以生成一种与临床相关的卵巢癌MRD模型。这些微肿瘤重现了卵巢癌的非基因异质性,捕捉到了“牛津经典”的五种分子特征。三维微肿瘤中的基因表达与卵巢癌患者的MRD密切相关,其特征是脂肪酸代谢基因上调。最后,MRD三维微肿瘤对已获批的脂肪酸氧化抑制剂哌克昔林有反应,证明了它们在药物发现中的实用性。该系统可作为一个药物测试平台,用于发现卵巢癌中新型的MRD特异性疗法。