Identification and validation of MSMB as a critical gene for prostate cancer development in obese people

鉴定并验证 MSMB 是肥胖人群前列腺癌发展的关键基因

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作者:Xi Chen, Haopeng Li, Boya Liu, Xin'an Wang, Weidong Zhou, Gang Wu, Chengdang Xu

Abstract

Prostate cancer (PCA) is one of the most common types of cancer and can seriously endanger the health of older men. Obesity is prevalent all around the world and triggered by lots of factors such as diet, environment and fat metabolism disorder can cause many neoplasms, including PCA. Evidence suggests that genetic changes increase the risk of PCA and obesity. However, the specific obesity-related genes leading to PCA are unknown. Obesity-related genes associated with PCA were identified and analyzed though three public electronic databases: Gene Expression Omnibus, The Cancer Genome Atlas, and Chinese Prostate Cancer Genome and Epigenome Atlas. The effect of obesity-related genes in PCA were analyzed using clinical data from different databases, while associations with immune cells were determined by TIMER web tool. The expression and function of obesity-related genes were verified using clinical samples from obese patients with PCA and PCA cells. We found that four genes, MSMB, BMP5, THBS4, and POPDC3, may lead to PCA occurrence in patients with obesity. In Gene Expression Omnibus database, MSMB and BMP5 were downregulated, while THBS4 and POPDC3 were upregulated. This trend was mainly preserved in the other electronic databases. We also discovered MSMB and THBS4 can affect PCA progression, and all these genes were risk factors for castration-resistant prostate cancer. Moreover, MSMB can impact disease-free survival status of patients with PCA. These obesity-related genes were also correlated with immune cells and immune cell infiltration in PCA. We further uncovered that MSMB was downregulated in clinical PCA and castration-resistant prostate cancer samples from patients with obesity and MSMB decreased PCA cells proliferation. These results indicate that MSMB is essential for PCA development in people with obesity and can be a biomarker for predicting PCA occurrence and progression in obese people.

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