Evidence map›Paper›PMID 39513381›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Intelligent Screening of Prostate Cancer Individuals Using an Enzyme-Assisted Multicolor Visualization Platform.

Ruomei Teng, Ming Li, Zikang Chen, Jianli Lin, Yuhan Zhang, Hang Li, Zejun Yan, Dingyuan Zhang, Caiping Ding, Youju Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ruomei TengCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Ming LiCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Zikang ChenCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Jianli LinCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Yuhan ZhangCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Hang LiCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Zejun YanDepartment of Urology & Nephrology, The First Affiliated Hospital of Ningbo University, 59, Liuting Street, Ningbo, Zhejiang, 315010, China.
Dingyuan ZhangCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Caiping DingCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Youju HuangCollege of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Department of Orthopedics, Hangzhou Normal University Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.ORCID 0000-0001-5815-9784

Funding

Interdisciplinary Research Project of Hangzhou Normal University 2024JCXK01National Natural Science Foundation of China 52222316"Pioneer" and "Leading Goose" R&D Program of Zhejiang 2024C03195
6 · The paper itself

Abstract

Rapid and intelligent identification of prostate cancer (PCa) is critical for early diagnosis. Herein, a convenient, reliable, and intelligent strategy is proposed to screen PCa individuals through indirectly quantifying sarcosine (Sar), an early indicator of PCa, in clinical urine samples. Success is achieved by integrating sarcosine oxidase (SOX) as a specific recognition unit; nanozyme-assisted multicolor intelligent visualization platform as a signal reporter. With the Fe-MOFs and peroxidase, the synergetic action of SOX and response gold nanorods (Au NRs) is controlled etched to exhibit a multicolored signal. The sensor exhibits excellent linearity with Sar within 1-60 × 10

Indexed as

Prostatic NeoplasmsBiomarkers, TumorBiosensing TechniquesEarly Detection of CancerGoldHumansMaleNanotubesSarcosineSarcosine OxidaseBiomarkers, TumorGoldSarcosineSarcosine Oxidaseintelligent diagnosismulticolor visualizationprostate cancerRGB colorsurine sample

Identifiers

PMID39513381
PMCPMC11714164

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.