Chenxi Zhao, Tingting Zhang, Si-tu Xue, Peitao Zhang, Feng Wang, Yunxuan Li, Ying Liu, Luyao Zhao, Jie Wu, Yechao Yan, Xiaoyun Mao, Yuping Chen, Jian Yuan, Zhuorong Li, Ke Li
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引用次数: 0
摘要
肥胖是导致乳腺癌预后不良的一个主要风险因素,但肥胖引起的肿瘤微环境(TME)代谢物对乳腺癌生长和转移的影响仍不清楚。在这里,我们在高脂饮食(HFD)小鼠模型中进行了TME代谢组学分析,发现在肥胖加速的乳腺癌TME中谷胱甘肽(GSH)水平升高。脂肪细胞中谷胱甘肽-半胱氨酸连接酶催化亚基(GCLC)是谷胱甘肽生物合成的限速酶,而肿瘤细胞中GCLC的缺失可减轻肥胖相关的肿瘤进展。从机理上讲,我们发现 GSH 进入肿瘤细胞后会直接与溶酶体完整膜蛋白-2(清道夫受体 B 类成员 2 [SCARB2])结合,干扰其 N 端和 C 端之间的相互作用。这反过来又通过 ARF1 将 mTORC1 募集到溶酶体,导致 mTOR 信号的激活。总之,我们证明了 GSH 通过作为 mTOR 信号转导的激活剂将肥胖与乳腺癌的进展联系在一起。靶向GSH/SCARB2/mTOR轴可使肥胖症乳腺癌患者获益。
Adipocyte-derived glutathione promotes obesity-related breast cancer by regulating the SCARB2-ARF1-mTORC1 complex
Obesity is a major risk factor for poor breast cancer outcomes, but the impact of obesity-induced tumor microenvironment (TME) metabolites on breast cancer growth and metastasis remains unclear. Here, we performed TME metabolomic analysis in high-fat diet (HFD) mouse models and found that glutathione (GSH) levels were elevated in the TME of obesity-accelerated breast cancer. The deletion of glutamate-cysteine ligase catalytic subunit (GCLC), the rate-limiting enzyme in GSH biosynthesis, in adipocytes but not tumor cells reduced obesity-related tumor progression. Mechanistically, we identified that GSH entered tumor cells and directly bound to lysosomal integral membrane protein-2 (scavenger receptor class B, member 2 [SCARB2]), interfering with the interaction between its N and C termini. This, in turn, recruited mTORC1 to lysosomes through ARF1, leading to the activation of mTOR signaling. Overall, we demonstrated that GSH links obesity and breast cancer progression by acting as an activator of mTOR signaling. Targeting the GSH/SCARB2/mTOR axis could benefit breast cancer patients with obesity.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.