Evidence map›Paper›PMID 39175282›Full record

ArticleJournal of extracellular vesicles2024

UPCARE: Urinary Extracellular Vesicles-Derived Prostate Cancer Assessment for Risk Evaluation.

Shaoqin Jiang, Feiting Lu, Jiadi Chen, Yingzhen Jiao, Qingqing Qiu, Xinwen Nian, Min Qu, Yan Wang, Mengqiang Li, Fei Liu and 1 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

Shaoqin JiangDepartment of Urology, Fujian Union Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Feiting LuShenzhen Huixin Lifetechnologies Co., Ltd., Longhua, Shenzhen, Guangdong, China.
Jiadi ChenDepartment of Clinical Laboratory, Fujian Union Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Yingzhen JiaoShenzhen Huixin Lifetechnologies Co., Ltd., Longhua, Shenzhen, Guangdong, China.
Qingqing QiuShenzhen Huixin Lifetechnologies Co., Ltd., Longhua, Shenzhen, Guangdong, China.
Xinwen NianDepartment of Urology, Changhai Hospital, Shanghai, China.
Min QuDepartment of Urology, Changhai Hospital, Shanghai, China.
Yan WangDepartment of Urology, Changhai Hospital, Shanghai, China.
Mengqiang LiDepartment of Urology, Fujian Union Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Fei LiuDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-5259-5753
Xu GaoDepartment of Urology, Changhai Hospital, Shanghai, China.

Funding

National Natural Science Foundation of China 82203309Natural Science Foundation of Fujian Province 2022J01260
6 · The paper itself

Abstract

In the quest for efficient tumor diagnosis via liquid biopsy, extracellular vesicles (EVs) have shown promise as a source of potential biomarkers. This study addresses the gap in biomarker efficacy for predicting clinically significant prostate cancer (csPCa) between the Western and Chinese populations. We developed a urinary extracellular vesicles-based prostate score (EPS) model, utilizing the EXODUS technique for EV isolation from 598 patients and incorporating gene expressions of FOXA1, PCA3, and KLK3. Our findings reveal that the EPS model surpasses prostate-specific antigen (PSA) testing in diagnostic accuracy within a training cohort of 234 patients, achieving an area under the curve (AUC) of 0.730 compared to 0.659 for PSA (p = 0.018). Similarly, in a validation cohort of 101 men, the EPS model achieved an AUC of 0.749, which was significantly better than PSA's 0.577 (p < 0.001). Our model has demonstrated a potential reduction in unnecessary prostate biopsies by 26%, with only a 3% miss rate for csPCa cases, indicating its effectiveness in the Chinese population.

Indexed as

Biomarkers, TumorExtracellular VesiclesProstate-Specific AntigenProstatic NeoplasmsAgedAntigens, NeoplasmHepatocyte Nuclear Factor 3-alphaHumansKallikreinsLiquid BiopsyMaleMiddle AgedRisk AssessmentAntigens, NeoplasmBiomarkers, TumorFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaKallikreinsKLK3 protein, humanprostate cancer antigen 3, humanProstate-Specific AntigenEPS modelEXODUS methodprostate cancerurinary extracellular vesicles

Identifiers

PMID39175282
PMCPMC11341834

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.