Unveiling as a Novel Prognostic Biomarker for Prostate Cancer Recurrence: From Gene to Prognosis.
Journal
Biomedicines
Journal Volume
13
Journal Issue
1
ISSN
2227-9059
Date Issued
2025-01-01
Author(s)
Chang, Chi-Fen
Chen, Lih-Chyang
Chen, Yei-Tsung
Yu, Chia-Cheng
Lin, Victor C
Lu, Te-Ling
Huang, Shu-Pin
Bao, Bo-Ying
Abstract
Prostate cancer is a major global health burden, with biochemical recurrence (BCR) following radical prostatectomy affecting 20-40% of patients and posing significant challenges to prognosis and treatment. Emerging evidence suggests a critical role for differentially expressed in normal and neoplastic cell () domain-containing genes in oncogenesis; however, their implications in prostate cancer and BCR risk remain underexplored. This study systematically evaluated 151 single-nucleotide polymorphisms in domain-containing genes in 458 patients with prostate cancer and BCR, followed by validation in an independent cohort of 185 patients. Multivariate Cox regression analyses identified rs610261 G>A as significantly associated with improved BCR-free survival in both cohorts (adjusted hazard ratio = 0.39, 95% confidence interval = 0.23-0.66, = 0.001). Functional analysis revealed rs610261's regulatory potential, with the protective A allele correlating with increased expression in various human tissues. Compared to normal prostate tissues, expression was reduced in prostate cancer, with higher expression being linked to favorable patient prognosis ( = 0.03). Gene set enrichment analysis revealed an association between expression and the negative regulation of target genes, including , , and , which are overexpressed in prostate cancer and associated with poor survival. Furthermore, the elevated expression promotes immune infiltration in prostate cancer, supporting its role in immune modulation. is a prognostic biomarker for BCR in prostate cancer and offers new avenues for personalized treatment strategies.
Subjects
DENN domain-containing genes
biomarker
gene set enrichment analysis
prostate cancer
recurrence
SDGs
Type
journal article