AKT and EZH2 inhibitors kill TNBCs by hijacking mechanisms of involution.

IF 3.7 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Langmuir Pub Date : 2024-10-09 DOI:10.1038/s41586-024-08031-6
Amy E Schade, Naiara Perurena, Yoona Yang, Carrie L Rodriguez, Anjana Krishnan, Alycia Gardner, Patrick Loi, Yilin Xu, Van T M Nguyen, G M Mastellone, Natalie F Pilla, Marina Watanabe, Keiichi Ota, Rachel A Davis, Kaia Mattioli, Dongxi Xiang, Jason J Zoeller, Jia-Ren Lin, Stefania Morganti, Ana C Garrido-Castro, Sara M Tolaney, Zhe Li, David A Barbie, Peter K Sorger, Kristian Helin, Sandro Santagata, Simon R V Knott, Karen Cichowski
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Abstract

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and has the highest rate of recurrence1. The predominant standard of care for advanced TNBC is systemic chemotherapy with or without immunotherapy; however, responses are typically short lived1,2. Thus, there is an urgent need to develop more effective treatments. Components of the PI3K pathway represent plausible therapeutic targets; more than 70% of TNBCs have alterations in PIK3CA, AKT1 or PTEN3-6. However, in contrast to hormone-receptor-positive tumours, it is still unclear whether or how triple-negative disease will respond to PI3K pathway inhibitors7. Here we describe a promising AKT-inhibitor-based therapeutic combination for TNBC. Specifically, we show that AKT inhibitors synergize with agents that suppress the histone methyltransferase EZH2 and promote robust tumour regression in multiple TNBC models in vivo. AKT and EZH2 inhibitors exert these effects by first cooperatively driving basal-like TNBC cells into a more differentiated, luminal-like state, which cannot be effectively induced by either agent alone. Once TNBCs are differentiated, these agents kill them by hijacking signals that normally drive mammary gland involution. Using a machine learning approach, we developed a classifier that can be used to predict sensitivity. Together, these findings identify a promising therapeutic strategy for this highly aggressive tumour type and illustrate how deregulated epigenetic enzymes can insulate tumours from oncogenic vulnerabilities. These studies also reveal how developmental tissue-specific cell death pathways may be co-opted for therapeutic benefit.

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AKT和EZH2抑制剂通过劫持内卷机制杀死TNBC。
三阴性乳腺癌(TNBC)是侵袭性最强的乳腺癌亚型,复发率也最高1。晚期 TNBC 的主要治疗标准是全身化疗联合或不联合免疫疗法;然而,这种疗法的疗效通常很短暂1,2。因此,迫切需要开发更有效的治疗方法。PI3K通路的组成成分是可信的治疗靶点;70%以上的TNBC存在PIK3CA、AKT1或PTEN3-6的改变。然而,与激素受体阳性肿瘤相比,三阴性疾病是否或如何对PI3K通路抑制剂产生反应仍不清楚7。在这里,我们描述了一种很有前景的基于 AKT 抑制剂的 TNBC 组合疗法。具体来说,我们发现 AKT 抑制剂与抑制组蛋白甲基转移酶 EZH2 的药物协同作用,可促进体内多个 TNBC 模型中肿瘤的稳健消退。AKT 和 EZH2 抑制剂首先通过协同作用促使基底样 TNBC 细胞进入分化程度更高的管腔样状态,而单独使用其中一种药物是无法有效诱导这种状态的。TNBC 一旦分化,这些药物就会通过劫持正常情况下驱动乳腺内陷的信号来杀死它们。利用机器学习方法,我们开发出了一种可用于预测敏感性的分类器。总之,这些研究结果为这种侵袭性极强的肿瘤类型找到了一种有前景的治疗策略,并说明了失调的表观遗传酶如何使肿瘤免受致癌弱点的影响。这些研究还揭示了发育组织特异性细胞死亡途径是如何被用于治疗的。
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来源期刊
Langmuir
Langmuir 化学-材料科学:综合
CiteScore
6.50
自引率
10.30%
发文量
1464
审稿时长
2.1 months
期刊介绍: Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).
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