Evidence map›Paper›PMID 40279022›Full record

ArticleDiscover oncology2025

Evaluation of the diagnostic value of a three-miRNA panel in prostate cancer: a discovery and validation study.

Xutai Li, Chen Sun, Zhenjian Ge, Yingqi Li, Huimei Zhou, Yutong Wu, Shengjie Lin, Pengwu Zhang, Xionghui Wu, Yongqing Lai

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Xutai Li *Department of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Chen Sun *Department of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Zhenjian GeDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Yingqi LiDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Huimei ZhouDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Yutong WuDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Shengjie LinDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Pengwu ZhangDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China.
Xionghui WuDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China. 13802260619@163.com.
Yongqing LaiDepartment of Urology, Peking University Shenzhen Hospital, The Fifth Clinical Medical College of Anhui Medical University, Shenzhen, 518036, China. yqlord@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPSA is widely used in prostate cancer screening. However, false-positive PSA results can lead to misdiagnosis and wrong puncture biopsy, while false-negative PSA results can result in missed diagnosis and delayed treatment. There is an urgent need to find convenient, economical and non-invasive diagnostic methods to reduce the false-negative and false-positive rates of PSA. The aim of this study was to discover new miRNA panels to detect prostate cancer. MATERIALS AND

methodWe selected 10 miRNAs in the literature that were associated with prostate cancer. Afterwards, we measured the expression levels of these miRNAs in serum of 112 prostate cancer patients and healthy controls through a training phase and a validation phase. By plotting receiver operating characteristic curve, the miRNAs with the highest diagnosis value were chosen. Then, a set of miRNAs with the top diagnostic value was identified using stepwise logistic regression.

resultsThe findings showed that 5 kinds of miRNAs (let-7b-5p, miR-15a-5p, miR-133a-3p, miR-15b-5p, miR-144-3p) were abnormally expressed in the serum of prostate cancer patients. The diagnostic panel constructed with these 3 miRNAs including let-7b-5p, miR-15a-5p miR-15b-5p and which have high specificity and sensitivity in detecting prostate cancer (area under the curve (AUC) = 0.899). Furthermore, the genes FAM107A and TAF1C may be potential therapeutic targets for prostate cancer.

conclusionsA three-microRNA panel has an important diagnostic value in prostate cancer and is expected to serve as diagnostic biomarker for prostate cancer. Furthermore, the genes FAM107A and TAF1C may be potential therapeutic targets for prostate cancer.

Indexed as

BioinformaticsBiomarkersMiRNAProstate cancerPSA

Identifiers

PMID40279022
PMCPMC12031705

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.