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

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 pat...

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Autores principales: Zeng, Jie, Chen, Jiahong, Li, Maozhang, Zhong, Chuanfan, Liu, Zezhen, Wang, Yan, Li, Yuejiao, Jiang, Funeng, Fang, Shumin, Zhong, Weide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244677/
https://www.ncbi.nlm.nih.gov/pubmed/37292153
http://dx.doi.org/10.3389/fphar.2023.1191129
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author Zeng, Jie
Chen, Jiahong
Li, Maozhang
Zhong, Chuanfan
Liu, Zezhen
Wang, Yan
Li, Yuejiao
Jiang, Funeng
Fang, Shumin
Zhong, Weide
author_facet Zeng, Jie
Chen, Jiahong
Li, Maozhang
Zhong, Chuanfan
Liu, Zezhen
Wang, Yan
Li, Yuejiao
Jiang, Funeng
Fang, Shumin
Zhong, Weide
author_sort Zeng, Jie
collection PubMed
description 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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spelling pubmed-102446772023-06-08 Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer Zeng, Jie Chen, Jiahong Li, Maozhang Zhong, Chuanfan Liu, Zezhen Wang, Yan Li, Yuejiao Jiang, Funeng Fang, Shumin Zhong, Weide Front Pharmacol Pharmacology 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. Frontiers Media S.A. 2023-05-24 /pmc/articles/PMC10244677/ /pubmed/37292153 http://dx.doi.org/10.3389/fphar.2023.1191129 Text en Copyright © 2023 Zeng, Chen, Li, Zhong, Liu, Wang, Li, Jiang, Fang and Zhong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Zeng, Jie
Chen, Jiahong
Li, Maozhang
Zhong, Chuanfan
Liu, Zezhen
Wang, Yan
Li, Yuejiao
Jiang, Funeng
Fang, Shumin
Zhong, Weide
Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
title Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
title_full Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
title_fullStr Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
title_full_unstemmed Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
title_short Integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
title_sort integrated high-throughput analysis identifies super enhancers in metastatic castration-resistant prostate cancer
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244677/
https://www.ncbi.nlm.nih.gov/pubmed/37292153
http://dx.doi.org/10.3389/fphar.2023.1191129
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