Urine Exosomal AMACR Is a Novel Biomarker for Prostate Cancer Detection at Initial Biopsy

Bibliographic Details
Title: Urine Exosomal AMACR Is a Novel Biomarker for Prostate Cancer Detection at Initial Biopsy
Authors: Xin Jin, Jin Ji, Decao Niu, Yuchen Yang, Shuchun Tao, Lilin Wan, Bin Xu, Shuqiu Chen, Fubo Wang, Ming Chen
Source: Frontiers in Oncology, Vol 12 (2022)
Publisher Information: Frontiers Media S.A., 2022.
Publication Year: 2022
Collection: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Subject Terms: urine exosomes, AMACR, prostate cancer, diagnosis, biomarker, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
More Details: ObjectivesThe aim of this study is to identify and validate urine exosomal AMACR (UE-A) as a novel biomarker to improve the detection of prostate cancer (PCa) and clinically significant PCa (Gleason score ≥ 7) at initial prostate biopsy.MethodsA total of 289 first-catch urine samples after the digital rectal exam (DRE) were collected from patients who underwent prostatic biopsy, and 17 patients were excluded due to incomplete clinical information. Urine exosomes were purified, and urinary exosomal AMACR (UE-A) was measured by enzyme-linked immunosorbent assay (ELISA). The diagnostic performance of UE-A was evaluated by receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and waterfall plots.ResultsThe expression of AMACR in PCa and csPCa was significantly higher than that in BPH and non-aggressive (p < 0.001). The UE-A presented good performance in distinguishing PCa from BPH or BPH plus non-significant PCa (nsPCa) from csPCa with an area under the ROC curve (AUC) of 0.832 and 0.78, respectively. The performance of UE-A was further validated in a multi-center cohort of patients with an AUC of 0.800 for detecting PCa and 0.749 for detecting csPCa. The clinical utility assessed by DCA showed that the benefit of patients using UE-A was superior to PSA, f/t PSA, and PSAD in both the training cohort and the validation cohort in terms of all threshold probabilities. Setting 95% sensitivity as the cutoff value, UE-A could avoid 27.57% of unnecessary biopsies, with only 4 (1.47%) csPCa patients missed.ConclusionsWe demonstrated the great performance of UE-A for the early diagnosis of PCa and csPCa. UE-A could be a novel non-invasive diagnostic biomarker to improve the detection of PCa and csPCa.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2234-943X
Relation: https://www.frontiersin.org/articles/10.3389/fonc.2022.904315/full; https://doaj.org/toc/2234-943X
DOI: 10.3389/fonc.2022.904315
Access URL: https://doaj.org/article/e8cfaeb40bce404fa7661aca55a3a6e0
Accession Number: edsdoj.8cfaeb40bce404fa7661aca55a3a6e0
Database: Directory of Open Access Journals
More Details
ISSN:2234943X
DOI:10.3389/fonc.2022.904315
Published in:Frontiers in Oncology
Language:English