单细胞质谱技术揭示乳腺癌耐药的代谢特征

Unraveling Single-Cell Metabolic Features in Breast Cancer Drug Resistance Using Mass Spectrometry

  • 摘要: 耐药性是乳腺癌化疗的主要挑战之一,其背后的代谢机制尚未被充分阐明。研究表明,细胞间存在显著的异质性,不同细胞表现出的代谢重编程程度不同,这可能导致其对药物反应的差异。本研究构建了一套集显微操作与电渗采样于一体的单细胞定量质谱分析平台,可在单细胞水平上定量分析三羧酸(TCA)循环代谢物。利用该平台比较了药物敏感型乳腺癌细胞MCF-7与其耐药株MCF-7/ADR的代谢特征。结果表明,在耐药细胞中,TCA循环的下游代谢物(包括α-酮戊二酸、琥珀酸、延胡索酸和苹果酸)显著增加,而早期代谢物变化不大。此外,不同单细胞间代谢物丰度存在明显差异。本研究还发现,并非所有MCF-7/ADR细胞在耐药性形成过程中都呈现相同程度的代谢偏离。上述代谢特征表明,耐药性癌细胞会通过加强谷氨酰胺分解、调节线粒体电子传递链的活性以及提升自身的代谢灵活性,以维持其在药物应激下的存活。因此,将细胞代谢异质性纳入未来的耐药性研究具有潜在的研究价值。

     

    Abstract: Drug resistance remains a major challenge in breast cancer chemotherapy, yet the metabolic alterations underlying this phenomenon are not fully understood. There is much evidence indicating the cellular heterogeneity among cancer cells, which exhibit varying degrees of metabolic reprogramming and thus may result in differential contributions to drug resistance. A home-built single-cell quantitative mass spectrometry (MS) platform, which integrates micromanipulation and electro-osmotic sampling, was developed to quantitatively profile the tricarboxylic acid (TCA) cycle metabolites at the single-cell level. Using this platform, the metabolic profiles of drug-sensitive MCF-7 breast cancer cells and their drug-resistant derivative MCF-7/ADR cells were compared. This results revealed a selective upregulation of downstream TCA cycle metabolites including α-ketoglutarate, succinate, fumarate, and malate in drug-resistant cancer cells, while early TCA metabolites remained largely unchanged. Furthermore, notable variations in the abundance of the metabolites were observed in individual cells. The comparative analysis also revealed that not all MCF-7/ADR cells exhibit the same degree of metabolic deviation from the parental line in the metabolites during resistance acquisition. The observed metabolic profiles indicate enhanced glutaminolysis, altered mitochondrial electron transport chain activity, and increased metabolic flexibility in drug-resistant cancer cells that support their survival under chemotherapeutic stress. The findings further suggest the potential for incorporating cellular metabolic heterogeneity into future drug resistance studies.

     

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