Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy. Department of Biomedical Sciences, University of Sassari, Sassari, Italy.
Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
Cancer Res. 2016 Mar 15;76(6):1615-26. doi: 10.1158/0008-5472.CAN-15-2038. Epub 2016 Jan 21.
Aromatase inhibitors (AI) have become the first-line endocrine treatment of choice for postmenopausal estrogen receptor-positive (ER(+)) breast cancer patients, but resistance remains a major challenge. Metabolic reprogramming is a hallmark of cancer and may contribute to drug resistance. Here, we investigated the link between altered breast cancer metabolism and AI resistance using AI-resistant and sensitive breast cancer cells, patient tumor samples, and AI-sensitive human xenografts. We found that long-term estrogen deprivation (LTED), a model of AI resistance, was associated with increased glycolysis dependency. Targeting the glycolysis-priming enzyme hexokinase-2 (HK2) in combination with the AI, letrozole, synergistically reduced cell viability in AI-sensitive models. Conversely, MCF7-LTED cells, which displayed a high degree of metabolic plasticity, switched to oxidative phosphorylation when glycolysis was impaired. This effect was ER dependent as breast cancer cells with undetectable levels of ER failed to exhibit metabolic plasticity. MCF7-LTED cells were also more motile than their parental counterparts and assumed amoeboid-like invasive abilities upon glycolysis inhibition with 2-deoxyglucose (2-DG). Mechanistic investigations further revealed an important role for miR-155 in metabolic reprogramming. Suppression of miR-155 resulted in sensitization of MCF7-LTED cells to metformin treatment and impairment of 2-DG-induced motility. Notably, high baseline miR-155 expression correlated with poor response to AI therapy in a cohort of ER(+) breast cancers treated with neoadjuvant anastrozole. These findings suggest that miR-155 represents a biomarker potentially capable of identifying the subset of breast cancers most likely to adapt to and relapse on AI therapy.
芳香酶抑制剂 (AI) 已成为绝经后雌激素受体阳性 (ER(+)) 乳腺癌患者的首选一线内分泌治疗药物,但耐药仍然是一个主要挑战。代谢重编程是癌症的一个标志,可能有助于耐药性的产生。在这里,我们使用 AI 耐药和敏感的乳腺癌细胞、患者肿瘤样本和 AI 敏感的人异种移植物研究了乳腺癌代谢改变与 AI 耐药之间的联系。我们发现,长期雌激素剥夺 (LTED),即 AI 耐药模型,与增加糖酵解依赖性有关。靶向糖酵解启动酶己糖激酶-2 (HK2) 与 AI 来曲唑联合使用,可协同降低 AI 敏感模型中的细胞活力。相反,MCF7-LTED 细胞表现出高度的代谢可塑性,当糖酵解受到损害时,它们会切换到氧化磷酸化。这种作用是 ER 依赖性的,因为 ER 水平检测不到的乳腺癌细胞未能表现出代谢可塑性。MCF7-LTED 细胞也比其亲本细胞更具运动性,并且在用 2-脱氧葡萄糖 (2-DG) 抑制糖酵解时会呈现出阿米巴样侵袭能力。进一步的机制研究揭示了 miR-155 在代谢重编程中的重要作用。抑制 miR-155 导致 MCF7-LTED 细胞对二甲双胍治疗的敏感性增加,并损害 2-DG 诱导的运动性。值得注意的是,高基线 miR-155 表达与接受新辅助阿那曲唑治疗的 ER(+) 乳腺癌患者对 AI 治疗反应不良相关。这些发现表明,miR-155 代表了一种潜在的生物标志物,能够识别最有可能适应和在 AI 治疗中复发的乳腺癌亚群。