Evidence map›Paper›PMID 25521481›Full record

ArticleDNA and cell biology2015

Combinations of serum prostate-specific antigen and plasma expression levels of let-7c, miR-30c, miR-141, and miR-375 as potential better diagnostic biomarkers for prostate cancer.

Darina Kachakova, Atanaska Mitkova, Elenko Popov, Ivan Popov, Alexandrina Vlahova, Tihomir Dikov, Svetlana Christova, Vanio Mitev, Chavdar Slavov, Radka Kaneva

Abstract read
In one paragraph

Article in DNA and cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 7 pooled it
4.5field-weighted citation impact, top 4% 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

72 citing papers in PubMed, 7 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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12 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Darina Kachakova1 Department of Medical Chemistry and Biochemistry, Molecular Medicine Center , Medical University-Sofia, Sofia, Bulgaria .
Atanaska Mitkova
Elenko Popov
Ivan Popov
Alexandrina Vlahova
Tihomir Dikov
Svetlana Christova
Vanio Mitev
Chavdar Slavov
Radka Kaneva
Medical University of Sofia · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, expression levels of let-7c, miR-30c, miR-141, and miR-375 in plasma from 59 prostate cancer (PC) patients with different clinicopathological characteristics and two groups of controls: 16 benign prostatic hyperplasia (BPH) samples and 11 young asymptomatic men (YAM) were analyzed to evaluate their diagnostic and prognostic value in comparison to prostate-specific antigen (PSA). miR-375 was significantly downregulated in 83.5% of patients compared to BPH controls and showed stronger diagnostic accuracy (area under the curve [AUC]=0.809, 95% CI: 0.697-0.922, p=0.00016) compared with PSA (AUC=0.710, 95% CI: 0.559-0.861, p=0.013). Expression levels of let-7c showed potential to distinguish PC patients from BPH controls with AUC=0.757, but the result did not reach significance. Better discriminating performance was observed when combinations of studied biomarkers were used. Sensitivity of 86.8% and specificity of 81.8% were reached when all biomarkers were combined (AUC=0.877) and YAM were used as calibrators. None of the studied microRNAs (miRNAs) showed correlation with clinicopathological characteristics. PSA levels were significantly correlated with the Gleason score, tumor stage, and lymph node metastasis with Spearman correlation coefficients: 0.612, 0.576, and 0.458. In conclusion, the combination of the studied circulating plasma miRNAs and serum PSA has the potential to be used as a noninvasive diagnostic biomarker for PC screening outperforming the PSA testing alone.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorDiagnosis, DifferentialGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedPrognosisProstate-Specific AntigenProstatic HyperplasiaProstatic NeoplasmsReverse Transcriptase Polymerase Chain ReactionROC CurveBiomarkers, TumorMicroRNAsMIRN141 microRNA, humanMIRN30b microRNA, humanMIRN375 microRNA, humanmirnlet7 microRNA, humanProstate-Specific Antigen

Identifiers

PMID25521481
PMCPMC4337462
OpenAlexW2053377105

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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.