Your browser doesn't support javascript.
loading
Proteomic profiling of prostate cancer reveals molecular signatures under antiandrogen treatment.
Huang, Yurun; Yang, Guanglin; Yao, Xinpeng; Fang, Yue; Lin, Qiliang; Zhou, Menghan; Yang, Yiping; Meng, Qinggui; Zhang, Qingyun; Wang, Shan.
Afiliación
  • Huang Y; Department of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Yang G; Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Yao X; The First Clinical Medical College, Guangxi Medical University, Nanning, Guangxi, China.
  • Fang Y; The First Clinical Medical College, Guangxi Medical University, Nanning, Guangxi, China.
  • Lin Q; The First Clinical Medical College, Guangxi Medical University, Nanning, Guangxi, China.
  • Zhou M; Department of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Yang Y; Department of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Meng Q; Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Zhang Q; Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China. zqy628@163.com.
  • Wang S; Department of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China. wangshan@sr.gxmu.edu.cn.
Clin Proteomics ; 21(1): 44, 2024 Jun 26.
Article en En | MEDLINE | ID: mdl-38918720
ABSTRACT

BACKGROUND:

Tumorigenesis and progression of prostate cancer (PCa) are indispensably dependent on androgen receptor (AR). Antiandrogen treatment is the principal preference for patients with advanced PCa. However, the molecular characteristics of PCa with antiandrogen intervention have not yet been fully uncovered.

METHODS:

We first performed proteome analysis with 32 PCa tumor samples and 10 adjacent tissues using data-independent acquisition (DIA)- parallel accumulation serial fragmentation (PASEF) proteomics. Then label-free quantification (LFQ) mass spectrometry was employed to analyze protein profiles in LNCaP and PC3 cells.

RESULTS:

M-type creatine kinase CKM and cartilage oligomeric matrix protein COMP were demonstrated to have the potential to be diagnostic biomarkers for PCa at both mRNA and protein levels. Several E3 ubiquitin ligases and deubiquitinating enzymes (DUBs) were significantly altered in PCa and PCa cells under enzalutamide treatment, and these proteins might reprogram proteostasis at protein levels in PCa. Finally, we discovered 127 significantly varied proteins in PCa samples with antiandrogen therapy and further uncovered 4 proteins in LNCaP cells upon enzalutamide treatment.

CONCLUSIONS:

Our research reveals new potential diagnostic biomarkers for prostate cancer and might help resensitize resistance to antiandrogen therapy.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Clin Proteomics Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Clin Proteomics Año: 2024 Tipo del documento: Article País de afiliación: China