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Usage Information

Monoamine oxidase A mediates prostate tumorigenesis and cancer metastasis
Jason Boyang Wu, … , Jean C. Shih, Leland W.K. Chung
Jason Boyang Wu, … , Jean C. Shih, Leland W.K. Chung
Published July 1, 2014; First published May 27, 2014
Citation Information: J Clin Invest. 2014;124(7):2891-2908. https://doi.org/10.1172/JCI70982.
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Categories: Research Article Oncology

Monoamine oxidase A mediates prostate tumorigenesis and cancer metastasis

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Abstract

Tumors from patients with high-grade aggressive prostate cancer (PCa) exhibit increased expression of monoamine oxidase A (MAOA), a mitochondrial enzyme that degrades monoamine neurotransmitters and dietary amines. Despite the association between MAOA and aggressive PCa, it is unclear how MAOA promotes PCa progression. Here, we found that MAOA functions to induce epithelial-to-mesenchymal transition (EMT) and stabilize the transcription factor HIF1α, which mediates hypoxia through an elevation of ROS, thus enhancing growth, invasiveness, and metastasis of PCa cells. Knockdown and overexpression of MAOA in human PCa cell lines indicated that MAOA induces EMT through activation of VEGF and its coreceptor neuropilin-1. MAOA-dependent activation of neuropilin-1 promoted AKT/FOXO1/TWIST1 signaling, allowing FOXO1 binding at the TWIST1 promoter. Importantly, the MAOA-dependent HIF1α/VEGF-A/FOXO1/TWIST1 pathway was activated in high-grade PCa specimens, and knockdown of MAOA reduced or even eliminated prostate tumor growth and metastasis in PCa xenograft mouse models. Pharmacological inhibition of MAOA activity also reduced PCa xenograft growth in mice. Moreover, high MAOA expression in PCa tissues correlated with worse clinical outcomes in PCa patients. These findings collectively characterize the contribution of MAOA in PCa pathogenesis and suggest that MAOA has potential as a therapeutic target in PCa.

Authors

Jason Boyang Wu, Chen Shao, Xiangyan Li, Qinlong Li, Peizhen Hu, Changhong Shi, Yang Li, Yi-Ting Chen, Fei Yin, Chun-Peng Liao, Bangyan L. Stiles, Haiyen E. Zhau, Jean C. Shih, Leland W.K. Chung

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Usage data is cumulative from December 2018 through December 2019.

Usage JCI PMC
Text version 1,325 212
PDF 215 318
Figure 278 0
Supplemental data 27 135
Citation downloads 28 0
Totals 1,873 665
Total Views 2,538
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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