前列腺癌
阉割
脂肪生成
医学
癌症
内科学
肿瘤科
内分泌学
脂质代谢
激素
作者
Yiheng Dai,Lilong Liu,Yongbo Luo,Cai Zhang,Sayu Xiao,Kun Du,Yuanhao Liu,Youmiao Zeng,Zhengfeng Wang,Zhaohui Chen,Ke Chen,Lijie Zhou
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2025-08-27
卷期号:85 (22): 4504-4520
标识
DOI:10.1158/0008-5472.can-24-4247
摘要
Malonyl-CoA, a key metabolite, is not only the building block for lipogenesis but also a critical regulator of mitochondrial fatty acid β-oxidation. Given the altered metabolic state of many cancers, malonyl-CoA may play a role in tumor development and drug resistance, especially in malignancies characterized by abnormal lipid metabolism, such as prostate cancer. In this study, we showed that the levels of malonyl-CoA were increased in prostate cancer, especially in castration-resistant prostate cancer. Abnormal accumulation of malonyl-CoA promoted lipogenesis and regulated metabolic processes, maintaining endoplasmic reticulum homeostasis and mitochondrial function and ultimately contributing to prostate cancer progression. Restoration of malonyl-CoA decarboxylase expression activated the unfolded protein response via the consumption of malonyl-CoA. Importantly, malonyl-CoA accumulation promoted lysine malonylation in prostate cancer. Ran K141 malonylation increased Ran activity and enhanced androgen receptor nuclear translocation and transcriptional activity, ultimately contributing to prostate cancer development and resistance to antiandrogens. These findings highlight the function of malonyl-CoA in prostate cancer progression by regulating metabolic processes and malonylating Ran K141, revealing that the malonyl-CoA axis might be a reliable biomarker and a potential therapeutic target in prostate cancer. SIGNIFICANCE: Malonyl-CoA induces metabolic reprogramming and Ran-mediated androgen receptor activation to support prostate cancer development and drug resistance, providing a mechanism that could be harnessed for developing treatment strategies for advanced prostate cancer.
科研通智能强力驱动
Strongly Powered by AbleSci AI