Prediction of clinically significant prostate cancer through urine metabolomic signatures: A large-scale validated study.
Huang HP, Chen CH, Chang KH, Lee MS, Lee CF, Chao YH, Lu SY, Wu TF, Liang ST, Lin CY, Lin YC, Liu SP, Lu YC, Shun CT, Huang WJ, Lin TP, Ku MH, Chung HJ, Chang YH, Liao CH, Yu CC, Chung SD, Tsai YC, Wu CC, Chen KC, Ho CH, Hsiao PW, Pu YS.
Huang HP, et al.
J Transl Med. 2023 Oct 11;21(1):714. doi: 10.1186/s12967-023-04424-9.
J Transl Med. 2023.
PMID: 37821919
Free PMC article.
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 benign subjects, were analyzed by gas chromatography/quadrupole time-of-flight mass spectrophotome …
This study aimed to develop urine tests to predict clinically significant PC (sPC) in men at risk. METHODS: Urine samples from 928 …