Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer

被引:0
|
作者
Zeng, Jie [1 ]
Chen, Jiahong [2 ]
Li, Maozhang [2 ]
Zhong, Chuanfan [3 ]
Liu, Zezhen [4 ,5 ]
Wang, Yan [1 ]
Li, Yuejiao [1 ]
Jiang, Funeng [1 ]
Fang, Shumin [2 ]
Zhong, Weide [1 ]
机构
[1] South China Univ Technol, Affiliated Hosp 2, Sch Med, Dept Urol, Guangzhou, Guangdong, Peoples R China
[2] Huizhou Municipal Cent Hosp, Dept Urol, Huizhou, Guangdong, Peoples R China
[3] Southern Med Univ, Zhujiang Hosp, Guangzhou, Guangdong, Peoples R China
[4] Guangzhou Med Univ, Minimally Invas Surg Ctr, Dept Urol, Affiliated Hosp 1, Guangzhou, Guangdong, Peoples R China
[5] Guangdong Key Lab Urol, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
prostate cancer; super enhancer; CUT&Tag; mCRPC; transcription factor; TRANSCRIPTION FACTORS; CELL IDENTITY; PROGRESSION; HYPERPLASIA; INVOLVEMENT; MECHANISMS; PATHWAYS; HYPOXIA; RAT;
D O I
10.3389/fphar.2023.1191129
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: Metastatic castration-resistant prostate cancer (mCRPC) is a highly aggressive stage of prostate cancer, and non-mutational epigenetic reprogramming plays a critical role in its progression. Super enhancers (SE), epigenetic elements, are involved in multiple tumor-promoting signaling pathways. However, the SE-mediated mechanism in mCRPC remains unclear.Methods: SE-associated genes and transcription factors were identified from a cell line (C4-2B) of mCRPC by the CUT&Tag assay. Differentially expressed genes (DEGs) between mCRPC and primary prostate cancer (PCa) samples in the GSE35988 dataset were identified. What's more, a recurrence risk prediction model was constructed based on the overlapping genes (termed SE-associated DEGs). To confirm the key SE-associated DEGs, BET inhibitor JQ1 was applied to cells to block SE-mediated transcription. Finally, single-cell analysis was performed to visualize cell subpopulations expressing the key SE-associated DEGs.Results: Nine human TFs, 867 SE-associated genes and 5417 DEGs were identified. 142 overlapping SE-associated DEGs showed excellent performance in recurrence prediction. Time-dependent receiver operating characteristic (ROC) curve analysis showed strong predictive power at 1 year (0.80), 3 years (0.85), and 5 years (0.88). The efficacy of his performance has also been validated in external datasets. In addition, FKBP5 activity was significantly inhibited by JQ1.Conclusion: We present a landscape of SE and their associated genes in mCPRC, and discuss the potential clinical implications of these findings in terms of their translation to the clinic.
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页数:13
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