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MicroRNA miR-30 family regulates non-attachment growth of breast cancer cells

机译:MicroRNA miR-30家族调节乳腺癌细胞的非附着生长

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摘要

Abstract Background A subset of breast cancer cells displays increased ability to self-renew and reproduce breast cancer heterogeneity. The characterization of these so-called putative breast tumor-initiating cells (BT-ICs) may open the road for novel therapeutic strategies. As microRNAs (miRNAs) control developmental programs in stem cells, BT-ICs may also rely on specific miRNA profiles for their sustained activity. To explore the notion that miRNAs may have a role in sustaining BT-ICs, we performed a comprehensive profiling of miRNA expression in a model of putative BT-ICs enriched by non-attachment growth conditions. Results We found breast cancer cells grown under non-attachment conditions display a unique pattern of miRNA expression, highlighted by a marked low expression of miR-30 family members relative to parental cells. We further show that miR-30a regulates non-attachment growth. A target screening revealed that miR-30 family redundantly modulates the expression of apoptosis and proliferation-related genes. At least one of these targets, the anti-apoptotic protein AVEN, was able to partially revert the effect of miR-30a overexpression. Finally, overexpression of miR-30a in vivo was associated with reduced breast tumor progression. Conclusions miR30-family regulates the growth of breast cancer cells in non-attachment conditions. This is the first analysis of target prediction in a whole family of microRNAs potentially involved in survival of putative BT-ICs.
机译:摘要背景一部分乳腺癌细胞表现出增强的自我更新和复制异质性的能力。这些所谓的假定的乳腺肿瘤起始细胞(BT-ICs)的表征可能为新的治疗策略开辟道路。由于microRNA(miRNA)控制着干细胞的发育程序,因此BT-IC可能还依赖于特定的miRNA谱来维持其持续活性。为了探索miRNA可能在维持BT-ICs中起作用的概念,我们在假定的BT-ICs模型中增加了非附着生长条件,对miRNA表达进行了全面的分析。结果我们发现,在非附着条件下生长的乳腺癌细胞显示出独特的miRNA表达模式,miR-30家族成员相对于亲代细胞的表达明显降低。我们进一步表明,miR-30a调节非附着生长。一项靶标筛选显示,miR-30家族可冗余调节细胞凋亡和增殖相关基因的表达。这些靶标中的至少一个,抗凋亡蛋白AVEN,能够部分还原miR-30a过表达的作用。最后,体内miR-30a的过表达与乳腺肿瘤进展减少有关。结论miR30家族调节非附着条件下乳腺癌细胞的生长。这是对可能与假定的BT-ICs存活有关的整个microRNA家族中目标预测的首次分析。

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