Evidence map›Paper›PMID 30845775›Full record

ReviewInternational journal of molecular sciences2019

Assessment of miR-98-5p, miR-152-3p, miR-326 and miR-4289 Expression as Biomarker for Prostate Cancer Diagnosis.

Leire Moya, Jonelle Meijer, Sarah Schubert, Farhana Matin, Jyotsna Batra

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

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5 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

5 authors.

Leire MoyaAustralian Prostate Cancer Research Centre-Queensland, Translational Research Institute, 37 Kent St, Brisbane, Queensland 4102, Australia. leire.moya@qut.edu.au.
Jonelle MeijerAustralian Prostate Cancer Research Centre-Queensland, Translational Research Institute, 37 Kent St, Brisbane, Queensland 4102, Australia. jonellemeijer@hotmail.com.
Sarah SchubertAustralian Prostate Cancer Research Centre-Queensland, Translational Research Institute, 37 Kent St, Brisbane, Queensland 4102, Australia. sarah.schubert@connect.qut.edu.au.
Farhana MatinAustralian Prostate Cancer Research Centre-Queensland, Translational Research Institute, 37 Kent St, Brisbane, Queensland 4102, Australia. farhana.matin@qut.edu.au.
Jyotsna BatraAustralian Prostate Cancer Research Centre-Queensland, Translational Research Institute, 37 Kent St, Brisbane, Queensland 4102, Australia. jyotsna.batra@qut.edu.au.

Funding

Cancer Council Queensland APP1086830National Health and Medical Research Council APP1090505
6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most commonly diagnosed cancers worldwide, accounting for almost 1 in 5 new cancer diagnoses in the US alone. The current non-invasive biomarker prostate specific antigen (PSA) has lately been presented with many limitations, such as low specificity and often associated with over-diagnosis. The dysregulation of miRNAs in cancer has been widely reported and it has often been shown to be specific, sensitive and stable, suggesting miRNAs could be a potential specific biomarker for the disease. Previously, we identified four miRNAs that are significantly upregulated in plasma from PCa patients when compared to healthy controls: miR-98-5p, miR-152-3p, miR-326 and miR-4289. This panel showed high specificity and sensitivity in detecting PCa (area under the curve (AUC) = 0.88). To investigate the specificity of these miRNAs as biomarkers for PCa, we undertook an in depth analysis on these miRNAs in cancer from the existing literature and data. Additionally, we explored their prognostic value found in the literature when available. Most studies showed these miRNAs are downregulated in cancer and this is often associated with cancer progression and poorer overall survival rate. These results suggest our four miRNA signatures could potentially become a specific PCa diagnostic tool of which prognostic potential should also be explored.

Indexed as

Up-RegulationArea Under CurveBiomarkers, TumorGene Expression Regulation, NeoplasticHumansMaleMicroRNAsPrognosisProstatic NeoplasmsSensitivity and SpecificityBiomarkers, TumorMicroRNAsMIRN152 microRNA, humanMIRN326 microRNA, humanMIRN98 microRNA, humanbiomarkerdiagnosismiRNAsprognosisprostate cancer

Identifiers

PMID30845775
PMCPMC6429489

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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.