The association between benign and malignant prostatic hyperplastic diseases and blood and urine biomarkers: A Mendelian randomization study

The identification of suitable biomarkers holds significant clinical importance for the early detection of benign prostatic hyperplasia (BPH) and prostate cancer (PCa). This study aimed to conduct a comprehensive analysis of the relationship between BPH and blood and urine biomarkers (BUB), as well as PCa and BUB. Candidate single nucleotide polymorphisms associated with BPH or PCa were derived from recent genome-wide association studies. The UK Biobank cohort comprised 363,228 individuals with BUB test data, enabling the calculation of a polygenic risk score for BPH or PCa. Bidirectional 2-sample Mendelian randomization was employed to assess the potential causal association between candidate BUB and BPH, as well as between BUB and PCa. In this study, a notable correlation was observed between BPH and gamma-glutamyl transferase (r = 1.061658447, P = .028697428). PCa exhibited significant associations with insulin-like growth factor 1 (r = 1.119051258, P = .004101067), Lipoprotein A (r = 1.120348291, P = .038093372), total protein (r = 0.87643517, P = .01657563), and non-albumin protein (r = 0.905333153, P = .03103913). The findings offer valuable insights into the significance of BUB in the timely identification and management of BPH and PCa.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-03-07
DOI
https://doi.org/10.1097/md.0000000000041723
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The association between benign and malignant prostatic hyperplastic diseases and blood and urine biomarkers: A Mendelian randomization study

Guilan Ning, Mingjian Liu, Zesen Lin, WU Bao-zhong et al.
1 links
Medicine
Prostate Cancer Treatment and Research
article

The association between benign and malignant prostatic hyperplastic diseases and blood and urine biomarkers: A Mendelian randomization study

Guilan Ning, Mingjian Liu, Zesen Lin, WU Bao-zhong, Di-kuan Yang, Min Zhu, Zhixiong Hu, Ze-chao Zhang, Shu-Ping Huang
article en

Abstract

The identification of suitable biomarkers holds significant clinical importance for the early detection of benign prostatic hyperplasia (BPH) and prostate cancer (PCa). This study aimed to conduct a comprehensive analysis of the relationship between BPH and blood and urine biomarkers (BUB), as well as PCa and BUB. Candidate single nucleotide polymorphisms associated with BPH or PCa were derived from recent genome-wide association studies. The UK Biobank cohort comprised 363,228 individuals with BUB test data, enabling the calculation of a polygenic risk score for BPH or PCa. Bidirectional 2-sample Mendelian randomization was employed to assess the potential causal association between candidate BUB and BPH, as well as between BUB and PCa. In this study, a notable correlation was observed between BPH and gamma-glutamyl transferase (r = 1.061658447, P = .028697428). PCa exhibited significant associations with insulin-like growth factor 1 (r = 1.119051258, P = .004101067), Lipoprotein A (r = 1.120348291, P = .038093372), total protein (r = 0.87643517, P = .01657563), and non-albumin protein (r = 0.905333153, P = .03103913). The findings offer valuable insights into the significance of BUB in the timely identification and management of BPH and PCa.

MedicineVol. 104(10)
Guangxi University (CN), Guangxi University of Chinese Medicine (CN), The First People's Hospital of Zhaoqing (CN)
Good health and well-being
Openalex Percentile: Top 93%
Prostate Cancer Treatment and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.