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Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer

BACKGROUND: Enzalutamide, as a second-generation endocrine therapy drug for prostate cancer (PCa), is prominent representative among the synthetic androgen receptor antagonists. Currently, there is lack of enzalutamide-induced signature (ENZ-sig) for predicting progression and relapse-free survival...

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Autores principales: Feng, Yuanfa, Deng, Yulin, Tang, Zhenfeng, Cai, Shanghua, Li, Jinchuang, Liu, Ren, Wan, Jiaming, He, Huichan, Zeng, Guohua, Ye, Jianheng, Han, Zhaodong, 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/PMC10060954/
https://www.ncbi.nlm.nih.gov/pubmed/37008945
http://dx.doi.org/10.3389/fendo.2023.1148898
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author Feng, Yuanfa
Deng, Yulin
Tang, Zhenfeng
Cai, Shanghua
Li, Jinchuang
Liu, Ren
Wan, Jiaming
He, Huichan
Zeng, Guohua
Ye, Jianheng
Han, Zhaodong
Zhong, Weide
author_facet Feng, Yuanfa
Deng, Yulin
Tang, Zhenfeng
Cai, Shanghua
Li, Jinchuang
Liu, Ren
Wan, Jiaming
He, Huichan
Zeng, Guohua
Ye, Jianheng
Han, Zhaodong
Zhong, Weide
author_sort Feng, Yuanfa
collection PubMed
description BACKGROUND: Enzalutamide, as a second-generation endocrine therapy drug for prostate cancer (PCa), is prominent representative among the synthetic androgen receptor antagonists. Currently, there is lack of enzalutamide-induced signature (ENZ-sig) for predicting progression and relapse-free survival (RFS) in PCa. METHODS: Enzalutamide-induced candidate markers were derived from single-cell RNA sequencing analysis integrating three enzalutamide-stimulated models (0-, 48-, and 168-h enzalutamide stimulation). ENZ-sig was constructed on the basis of candidate genes that were associated with RFS in The Cancer Genome Atlas leveraging least absolute shrinkage and selection operator method. The ENZ-sig was further validated in GSE70768, GSE94767, E-MTAB-6128, DFKZ, GSE21034, and GSE70769 datasets. Biological enrichment analysis was used to discover the underlying mechanism between high ENZ-sig and low ENZ-sig in single-cell RNA sequencing and bulk RNA sequencing. RESULTS: We identified a heterogenous subgroup that induced by enzalutamide stimulation and found 53 enzalutamide-induced candidate markers that are related to trajectory progression and enzalutamide-stimulated. The candidate genes were further narrowed down into 10 genes that are related to RFS in PCa. A 10-gene prognostic model (ENZ-sig)—IFRD1, COL5A2, TUBA1A, CFAP69, TMEM388, ACPP, MANEA, FOSB, SH3BGRL, and ST7—was constructed for the prediction of RFS in PCa. The effective and robust predictability of ENZ-sig was verified in six independent datasets. Biological enrichment analysis revealed that differentially expressed genes in high ENZ-sig were more activated in cell cycle–related pathway. High–ENZ-sig patients were more sensitive to cell cycle–targeted drugs (MK-1775, AZD7762, and MK-8776) than low–ENZ-sig patients in PCa. CONCLUSIONS: Our results provided evidence and insight on the potential utility of ENZ-sig in PCa prognosis and combination therapy strategy of enzalutamide and cell cycle–targeted compounds in treating PCa.
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spelling pubmed-100609542023-03-31 Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer Feng, Yuanfa Deng, Yulin Tang, Zhenfeng Cai, Shanghua Li, Jinchuang Liu, Ren Wan, Jiaming He, Huichan Zeng, Guohua Ye, Jianheng Han, Zhaodong Zhong, Weide Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Enzalutamide, as a second-generation endocrine therapy drug for prostate cancer (PCa), is prominent representative among the synthetic androgen receptor antagonists. Currently, there is lack of enzalutamide-induced signature (ENZ-sig) for predicting progression and relapse-free survival (RFS) in PCa. METHODS: Enzalutamide-induced candidate markers were derived from single-cell RNA sequencing analysis integrating three enzalutamide-stimulated models (0-, 48-, and 168-h enzalutamide stimulation). ENZ-sig was constructed on the basis of candidate genes that were associated with RFS in The Cancer Genome Atlas leveraging least absolute shrinkage and selection operator method. The ENZ-sig was further validated in GSE70768, GSE94767, E-MTAB-6128, DFKZ, GSE21034, and GSE70769 datasets. Biological enrichment analysis was used to discover the underlying mechanism between high ENZ-sig and low ENZ-sig in single-cell RNA sequencing and bulk RNA sequencing. RESULTS: We identified a heterogenous subgroup that induced by enzalutamide stimulation and found 53 enzalutamide-induced candidate markers that are related to trajectory progression and enzalutamide-stimulated. The candidate genes were further narrowed down into 10 genes that are related to RFS in PCa. A 10-gene prognostic model (ENZ-sig)—IFRD1, COL5A2, TUBA1A, CFAP69, TMEM388, ACPP, MANEA, FOSB, SH3BGRL, and ST7—was constructed for the prediction of RFS in PCa. The effective and robust predictability of ENZ-sig was verified in six independent datasets. Biological enrichment analysis revealed that differentially expressed genes in high ENZ-sig were more activated in cell cycle–related pathway. High–ENZ-sig patients were more sensitive to cell cycle–targeted drugs (MK-1775, AZD7762, and MK-8776) than low–ENZ-sig patients in PCa. CONCLUSIONS: Our results provided evidence and insight on the potential utility of ENZ-sig in PCa prognosis and combination therapy strategy of enzalutamide and cell cycle–targeted compounds in treating PCa. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10060954/ /pubmed/37008945 http://dx.doi.org/10.3389/fendo.2023.1148898 Text en Copyright © 2023 Feng, Deng, Tang, Cai, Li, Liu, Wan, He, Zeng, Ye, Han 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 Endocrinology
Feng, Yuanfa
Deng, Yulin
Tang, Zhenfeng
Cai, Shanghua
Li, Jinchuang
Liu, Ren
Wan, Jiaming
He, Huichan
Zeng, Guohua
Ye, Jianheng
Han, Zhaodong
Zhong, Weide
Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
title Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
title_full Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
title_fullStr Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
title_full_unstemmed Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
title_short Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
title_sort prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060954/
https://www.ncbi.nlm.nih.gov/pubmed/37008945
http://dx.doi.org/10.3389/fendo.2023.1148898
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