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

Feng, Yuanfa and Deng, Yulin and Tang, Zhenfeng and Cai, Shanghua and Li, Jinchuang and Liu, Ren and Wan, Jiaming and He, Huichan and Zeng, Guohua and Ye, Jianheng and Han, Zhaodong and Zhong, Weide (2023) Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer. Frontiers in Endocrinology, 14. ISSN 1664-2392

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Abstract

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.

Item Type: Article
Subjects: STM Open Library > Mathematical Science
Depositing User: Unnamed user with email support@stmopenlibrary.com
Date Deposited: 06 Jul 2023 04:09
Last Modified: 26 Mar 2024 03:54
URI: http://ebooks.netkumar1.in/id/eprint/1891

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