The emerging roles of metabolism in the crosstalk between breast cancer cells and tumor-associated macrophages.
The emerging roles of metabolism in the crosstalk between breast cancer cells and tumor-associated macrophages.
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代谢在乳腺癌细胞与肿瘤相关巨噬细胞相互作用中的新兴作用
DOI：
10.7150/ijbs.86039
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发表时间：
2023
影响因子：
9.2
通讯作者：
Shen Y
中科院分区：
文献类型：
--
作者：
Liang Y;He J;Chen X;Yin L;Yuan Q;Zeng Q;Zu X;Shen Y
乳腺癌是影响全世界妇女的最常见癌症。研究乳腺癌的代谢可能会加速开发新的免疫治疗选择。代谢重编程可以赋予乳腺癌细胞（BCC）在肿瘤微环境（TME）中的生存优势和乳腺癌的代谢改变，并且相应的代谢副产物可以影响肿瘤相关巨噬细胞（TAM）的功能。此外，TAM经历代谢重编程以响应TME中存在的信号，这可以影响它们的功能和乳腺癌进展。在这里，我们回顾了BCC和TAMs之间的代谢串扰的葡萄糖，脂质，氨基酸，铁和腺苷代谢。针对乳腺癌中BCC或TAM中代谢相关过程的抑制剂的总结也为对抗这种疾病的新型治疗方法提供了宝贵的灵感。这篇综述为乳腺癌的靶向抗癌治疗提供了新的视角，联合收割机结合免疫和代谢。
Breast cancer is the most common cancer affecting women worldwide. Investigating metabolism in breast cancer may accelerate the exploitation of new therapeutic options for immunotherapies. Metabolic reprogramming can confer breast cancer cells (BCCs) with a survival advantage in the tumor microenvironment (TME) and metabolic alterations in breast cancer, and the corresponding metabolic byproducts can affect the function of tumor-associated macrophages (TAMs). Additionally, TAMs undergo metabolic reprogramming in response to signals present in the TME, which can affect their function and breast cancer progression. Here, we review the metabolic crosstalk between BCCs and TAMs in terms of glucose, lipids, amino acids, iron, and adenosine metabolism. Summaries of inhibitors that target metabolism-related processes in BCCs or TAMs within breast cancer have also served as valuable inspiration for novel therapeutic approaches in the fight against this disease. This review provides new perspectives on targeted anticancer therapies for breast cancer that combine immunity with metabolism.
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氯喹通过将肿瘤相关巨噬细胞重置为 M1 表型来调节抗肿瘤免疫反应
影响因子：
16.6
作者：
Chen D;Xie J;Fiskesund R;Dong W;Liang X;Lv J;Jin X;Liu J;Mo S;Zhang T;Cheng F;Zhou Y;Zhang H;Tang K;Ma J;Liu Y;Huang B
通讯作者：
Huang B
DOI：
10.1186/s40880-018-0301-4
发表时间：
2018-05-21
期刊：
Cancer communications (London, England)
影响因子：
--
作者：
Cheng C;Geng F;Cheng X;Guo D
通讯作者：
Guo D
影响因子：
8.8
作者：
Cianciaruso, Chiara;Beltraminelli, Tim;De Palma, Michele
通讯作者：
De Palma, Michele
影响因子：
17.1
作者：
Chung, Andrew W.;Anand, Kartik;Chang, Jenny C.
通讯作者：
Chang, Jenny C.
DOI：
10.1073/pnas.1614035114
发表时间：
2017-01-17
影响因子：
11.1
作者：
Chen, Peiwen;Zuo, Hao;Wan, Yihong
通讯作者：
Wan, Yihong