Evidence map›Paper›PMID 33361585›Full record

ArticleCancer biomarkers : section A of Disease markers2021

The discriminative ability of Prostate Health Index to detect prostate cancer is enhanced in combination with miR-222-3p.

Angelika Tölle, Klaus Jung, Frank Friedersdorff, Andreas Maxeiner, Michael Lein, Annika Fendler, Carsten Stephan

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 2 countries.

Angelika TölleDepartment of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Klaus JungDepartment of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Frank FriedersdorffDepartment of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Andreas MaxeinerDepartment of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Michael LeinBerlin Institute for Urologic Research, Berlin, Germany.
Annika FendlerDepartment of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Carsten StephanDepartment of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEEcologic Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an urgent need for better prostate cancer (PCa) biomarkers due to the low specificity of prostate specific antigen (PSA).

objectiveProstate Health Index (PHI) is an advanced PSA-based test for early detection of PCa. The present study aim was to investigate the potential improvement of diagnostic accuracy of PHI by its combination with suitable discriminative microRNAs (miRNAs).

methodsA two-phase study was performed. In a discovery phase, a panel of 177 miRNAs was measured in ten men with biopsy proven PCa and ten men with histologically no evidence of malignancy (NEM). These results were validated in a second phase including 25 patients in each group. The patients of all groups were matched regarding their PSA values and PHI were measured.

resultsBased on data in the discovery phase, four elevated miRNAs were selected as potential miRNA candidates for further validation. A combination of miR-222-3p as the best discriminative miRNA with PHI extended the diagnostic accuracy of PHI from an AUC value of 0.690 to 0.787 and resulted in a sensitivity of 72.0% and a specificity of 84.0%.

conclusionCirculating microRNAs show useful diagnostic potential in combination with common used biomarkers to enhance their diagnostic power.

Indexed as

AgedBiomarkers, TumorHumansKallikreinsMaleMicroRNAsMiddle AgedProstate-Specific AntigenProstatic NeoplasmsBiomarkers, TumorKallikreinsKLK3 protein, humanMicroRNAsMIR222, humanProstate-Specific AntigendiagnosismiRNAPHIpredictionProstate cancer

Identifiers

PMID33361585
PMCPMC12499993
OpenAlexW3116571374

What OpenQuestion holds

Textmetadata
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.