Evidence map›Paper›PMID 30334974›Full record

ArticleMedicine2018

Diagnostic performance of PCA3 and hK2 in combination with serum PSA for prostate cancer.

Zujie Mao, Alin Ji, Kebing Yang, Wei He, Yingfang Hu, Qi Zhang, Dahong Zhang, Liping Xie

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Review
  5. Article
  6. Article
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  8. Article
  9. Review
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  12. Review
  13. Article
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  15. Article
  16. The long non-coding RNAOncotarget · 2019
    Article
  17. Article
  18. Review
  19. Review
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

8 authors at 3 institutions in 1 country.

Zujie MaoDepartment of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Alin JiDepartment of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Kebing YangDepartment of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Wei HeDepartment of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Yingfang HuDepartment of Urology, Changxing People's Hospital, 66 Middle Taihu Road, Huzhou Zhejiang Province, People's Republic of China.
Qi ZhangDepartment of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Dahong ZhangDepartment of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Liping XieDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qingchun Road.
Hangzhou Medical College · CNZhejiang Provincial People's Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe prostate cancer gene 3 (PCA3), human kallikrein 2, and miRNA-141 are promising prostate cancer (Pca) specific biomarkers. Our aim was to evaluate the detection of PCA3, human glandular kallikrein 2 (hk2), and miRNA-141 mRNA in peripheral blood of patients received prostate biopsy. What's more, we want to detect the value of combination of PSA (prostate specific antigen) in the early diagnosis of PCa. MATERIALS AND

methodsHundred patients were divided into 2 groups according to the results of pathologic diagnosis. Quantitative real-time PCR (qRT-PCR) was used to evaluate the mRNA of PCA3, hk2, and miRNA-141 in peripheral blood. At the same time, analyze those clinical outcomes used in the patients. We compared these different outcomes to evaluate the value of new molecular markers.

resultsThe level of mRNA of PCA3, hK2, and miR-141 in Pca group were significantly higher than that in BPH. PSA had the highest sensitivity in predicting Pca diagnosis (76.7%); PCA3 had the highest specificity (82.5%). And the combination of PCA3, PSA, and hK2 improved area under the curve (AUC)-receiver operating characteristic (ROC) curve largely, especially those with PSA 4-10ng/mL.

conclusionsPCA3, hK2, and miRNA-141 were biomarkers of Pca with potential clinical application value, especially in patients with PSA gray area. Combining PCA3, PSA, and hK2 performed better than individual biomarkers alone in predicting Pca.

Indexed as

AgedAged, 80 and overAntigens, NeoplasmArea Under CurveBiomarkers, TumorBiopsyHexokinaseHumansMaleMicroRNAsMiddle AgedPredictive Value of TestsProstateProstate-Specific AntigenProstatic NeoplasmsReal-Time Polymerase Chain ReactionAntigens, NeoplasmBiomarkers, TumorHexokinaseHK2 protein, humanMicroRNAsMIRN141 microRNA, humanprostate cancer antigen 3, humanProstate-Specific Antigen

Identifiers

PMID30334974
PMCPMC6211911
OpenAlexW2897574108

What OpenQuestion holds

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LicenceCC BY-NC
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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.