Eglė Žymantaitė, Migle Gabrielaite, Vita Pašukonienė, Agata Mlynska
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引用次数: 0
摘要
癌细胞系的连续传代可以驱动表型和基因型差异,潜在地损害了这些模型的可靠性。在这项研究中,我们发现卵巢癌细胞系SKOV3的两个晚期传代菌株(S1和S2),虽然通过短串联重复(STR)分析验证为相同,但在形态,转录组特征,形成3D培养和化疗反应的能力方面表现出实质性差异。值得注意的是,S1形成致密的3D球体,并表现出增强的上皮-间充质转化(EMT)途径活性,而S2表现出更具增殖性的myc驱动表型,具有更大的球体结构,需要更高的播种密度。转录组学分析揭示了3D培养中与缺氧、EMT和血管生成相关的通路,强调了肿瘤建模中维度引入的复杂性。至关重要的是,S1对阿霉素的敏感性高于S2 (IC50为0.12µM vs. 1.28µM, p= 0.0001),这表明克隆进化如何混淆药物反应分析。最终,我们的研究结果表明,虽然STR分析对细胞系鉴定仍然至关重要,但在同一培养物中,功能不同的亚群可能出现并共存,它们的分离可能揭示不同的表型,从而影响临床前癌症研究的可重复性。
Extended passaging of the SKOV3 ovarian cancer cell line leads to two phenotypically different strains.
Continuous passaging of cancer cell lines can drive phenotypic and genotypic divergence, potentially compromising the reliability of such models. In this study, we show that two late-passage strains (S1 and S2) of ovarian cancer cell line SKOV3, although authenticated via short tandem repeat (STR) profiling as identical, exhibit substantial differences in morphology, transcriptomic signatures, ability to form 3D cultures and chemotherapeutic responses. Notably, S1 formed compact 3D spheroids and exhibited enhanced epithelial-mesenchymal transition (EMT) pathway activity, whereas S2 displayed a more proliferative, MYC-driven phenotype with larger spheroid structures requiring higher seeding densities. Transcriptomic analysis revealed pathways associated with hypoxia, EMT and angiogenesis in 3D culture, highlighting the complexity introduced by dimensionality in tumour modelling. Critically, S1 showed higher sensitivity to doxorubicin than S2 (IC50 of 0.12 µM versus 1.28 µM, P=0.0001), indicating how clonal evolution can confound drug-response assays. Ultimately, our findings suggest that although STR profiling remains essential for cell line authentication, functionally distinct subpopulations can arise and coexist within the same culture, and their isolation may reveal divergent phenotypes that compromise reproducibility in preclinical cancer research.
期刊介绍:
Disease Models & Mechanisms (DMM) is an online Open Access journal focusing on the use of model systems to better understand, diagnose and treat human disease.