Prediction of clinically significant prostate cancer through urine metabolomic signatures: A large-scale validated study

Prediction of clinically significant prostate cancer through urine metabolomic signatures: A large-scale validated study

Abstract Purpose Currently, there are no accurate markers for predicting potentially lethal prostate cancer (PC) before biopsy. This study aimed to develop urine tests to predict clinically significant PC (sPC) in men at risk. Methods Urine samples from 928 men, namely, 660 PC patients and 268 benig...

Full description

Bibliographic Details
Main Authors: Hsiang-Po Huang, Chung-Hsin Chen, Kai-Hsiung Chang, Ming-Shyue Lee, Cheng-Fan Lee, Yen-Hsiang Chao, Shih-Yu Lu, Tzu-Fan Wu, Sung-Tzu Liang, Chih-Yu Lin, Yuan Chi Lin, Shih-Ping Liu, Yu-Chuan Lu, Chia-Tung Shun, William J. Huang, Tzu-Ping Lin, Ming-Hsuan Ku, Hsiao-Jen Chung, Yen-Hwa Chang, Chun-Hou Liao, Chih-Chin Yu, Shiu-Dong Chung, Yao-Chou Tsai, Chia-Chang Wu, Kuan-Chou Chen, Chen-Hsun Ho, Pei-Wen Hsiao, Yeong-Shiau Pu
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Journal of Translational Medicine
Subjects:
Prediction
Aggressive
Liquid biopsy
Active surveillance
Diagnosis
Online Access:https://doi.org/10.1186/s12967-023-04424-9

Internet

https://doi.org/10.1186/s12967-023-04424-9

Similar Items