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骨髓间充质干细胞诱导雌激素受体阳性乳腺癌的代谢重编程。

Bone Marrow Mesenchymal Stem Cells Induce Metabolic Plasticity in Estrogen Receptor-Positive Breast Cancer.

机构信息

Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.

Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Michigan.

出版信息

Mol Cancer Res. 2023 May 1;21(5):458-471. doi: 10.1158/1541-7786.MCR-22-0451.

DOI:10.1158/1541-7786.MCR-22-0451
PMID:36735350
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10159984/
Abstract

UNLABELLED

Cancer cells reprogram energy metabolism through metabolic plasticity, adapting ATP-generating pathways in response to treatment or microenvironmental changes. Such adaptations enable cancer cells to resist standard therapy. We employed a coculture model of estrogen receptor-positive (ER+) breast cancer and mesenchymal stem cells (MSC) to model interactions of cancer cells with stromal microenvironments. Using single-cell endogenous and engineered biosensors for cellular metabolism, coculture with MSCs increased oxidative phosphorylation, intracellular ATP, and resistance of cancer cells to standard therapies. Cocultured cancer cells had increased MCT4, a lactate transporter, and were sensitive to the MCT1/4 inhibitor syrosingopine. Combining syrosingopine with fulvestrant, a selective estrogen receptor degrading drug, overcame resistance of ER+ breast cancer cells in coculture with MSCs. Treatment with antiestrogenic therapy increased metabolic plasticity and maintained intracellular ATP levels, while MCT1/4 inhibition successfully limited metabolic transitions and decreased ATP levels. Furthermore, MCT1/4 inhibition decreased heterogenous metabolic treatment responses versus antiestrogenic therapy. These data establish MSCs as a mediator of cancer cell metabolic plasticity and suggest metabolic interventions as a promising strategy to treat ER+ breast cancer and overcome resistance to standard clinical therapies.

IMPLICATIONS

This study reveals how MSCs reprogram metabolism of ER+ breast cancer cells and point to MCT4 as potential therapeutic target to overcome resistance to antiestrogen drugs.

摘要

未加标签

癌细胞通过代谢可塑性重新编程能量代谢,根据治疗或微环境变化调整产生 ATP 的途径。这种适应使癌细胞能够抵抗标准疗法。我们采用雌激素受体阳性(ER+)乳腺癌和间充质干细胞(MSC)的共培养模型来模拟癌细胞与基质微环境的相互作用。使用用于细胞代谢的单细胞内源性和工程生物传感器,与 MSC 的共培养增加了氧化磷酸化、细胞内 ATP 以及癌细胞对标准疗法的抵抗力。共培养的癌细胞增加了乳酸转运蛋白 MCT4,并对 MCT1/4 抑制剂苦马豆素敏感。将苦马豆素与氟维司群(一种选择性雌激素受体降解药物)联合使用,克服了 ER+乳腺癌细胞与 MSC 共培养时的耐药性。抗雌激素治疗增加了代谢可塑性并维持了细胞内 ATP 水平,而 MCT1/4 抑制成功限制了代谢转变并降低了 ATP 水平。此外,MCT1/4 抑制降低了与抗雌激素治疗相比的异质代谢治疗反应。这些数据确立了 MSC 作为癌细胞代谢可塑性的介质,并表明代谢干预是治疗 ER+乳腺癌和克服对标准临床疗法的耐药性的有前途的策略。

意义

这项研究揭示了 MSC 如何重新编程 ER+乳腺癌细胞的代谢,并指出 MCT4 可能是克服抗雌激素药物耐药性的潜在治疗靶点。

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本文引用的文献

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Effects of iron modulation on mesenchymal stem cell-induced drug resistance in estrogen receptor-positive breast cancer.铁调节对雌激素受体阳性乳腺癌间质干细胞诱导耐药的影响。
Oncogene. 2022 Jul;41(29):3705-3718. doi: 10.1038/s41388-022-02385-9. Epub 2022 Jun 22.
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ZEB1 induces ROS generation through directly promoting MCT4 transcription to facilitate breast cancer.ZEB1 通过直接促进 MCT4 转录诱导 ROS 生成,从而促进乳腺癌的发生。
Exp Cell Res. 2022 Mar 15;412(2):113044. doi: 10.1016/j.yexcr.2022.113044. Epub 2022 Jan 29.
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Fatty acid oxidation and autophagy promote endoxifen resistance and counter the effect of AKT inhibition in ER-positive breast cancer cells.脂肪酸氧化和自噬促进了内消旋雌酚耐药性的产生,并抵消了 AKT 抑制对 ER 阳性乳腺癌细胞的作用。
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Single-cell resolved imaging reveals intra-tumor heterogeneity in glycolysis, transitions between metabolic states, and their regulatory mechanisms.单细胞分辨成像揭示了肿瘤内糖酵解、代谢状态转变及其调控机制的异质性。
Cell Rep. 2021 Feb 16;34(7):108750. doi: 10.1016/j.celrep.2021.108750.
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Mitochondrial Transfer and Regulators of Mesenchymal Stromal Cell Function and Therapeutic Efficacy.线粒体转移与间充质基质细胞功能及治疗效果的调节因子
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Exploiting oxidative phosphorylation to promote the stem and immunoevasive properties of pancreatic cancer stem cells.利用氧化磷酸化促进胰腺癌干细胞的干性和免疫逃避特性。
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Metabolic Reprogramming of Chemoresistant Cancer Cells and the Potential Significance of Metabolic Regulation in the Reversal of Cancer Chemoresistance.化疗耐药癌细胞的代谢重编程以及代谢调控在逆转癌症化疗耐药中的潜在意义。
Metabolites. 2020 Jul 16;10(7):289. doi: 10.3390/metabo10070289.
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Oncogene. 2020 Aug;39(34):5649-5662. doi: 10.1038/s41388-020-01391-z. Epub 2020 Jul 16.