Evidence map›Paper›PMID 35795046›Full record

ArticleFrontiers in oncology2022

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

Xin Jin, Jin Ji, Decao Niu, Yuchen Yang, Shuchun Tao, Lilin Wan, Bin Xu, Shuqiu Chen, Fubo Wang, Ming Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  14. Urine-derived exosomal PSMA is a promising diagnostic biomarker for the detection of prostate cancer on initial biopsy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Xin JinDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Jin JiDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Decao NiuCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Yuchen YangNursing Department, Naval Hospital of Eastern Theater Command of People's Liberation Army of China (PLA), Zhoushan, China.
Shuchun TaoDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Lilin WanDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Bin XuDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Shuqiu ChenDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Fubo WangDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Ming ChenDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Zhongda Hospital Southeast University · CNChanghai Hospital · CNGuangdong Provincial People's Hospital · CNSecond Military Medical University · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The 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. Methods: A 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. Results: The expression of AMACR in PCa and csPCa was significantly higher than that in BPH and non-aggressive ( Conclusions: We 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.

Indexed as

AMACRbiomarkerdiagnosisprostate cancerurine exosomes

Identifiers

PMID35795046
PMCPMC9251007
OpenAlexW4283166351

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.