Identification of a Steroid Hormone-Associated Gene Signature Predicting the Prognosis of Prostate Cancer through an Integrative Bioinformatics Analysis

The importance of anti-androgen therapy for prostate cancer (PC) has been well recognized. However, the mechanisms underlying prostate cancer resistance to anti-androgens are not completely understood. Therefore, identifying pharmacological targets in driving the development of castration-resistant...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Cancers 2022-03, Vol.14 (6), p.1565
Hauptverfasser:	Lai, Yo-Liang, Liu, Chia-Hsin, Wang, Shu-Chi, Huang, Shu-Pin, Cho, Yi-Chun, Bao, Bo-Ying, Su, Chia-Cheng, Yeh, Hsin-Chih, Lee, Cheng-Hsueh, Teng, Pai-Chi, Chuu, Chih-Pin, Chen, Deng-Neng, Li, Chia-Yang, Cheng, Wei-Chung
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Androgens Bioinformatics Carcinogenesis Castration Datasets Estrone sulfotransferase Gene expression Genomes Genomics Medical prognosis Metastasis Mutation Otology Patients Prognosis Prostate cancer Steroids Survival analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!