Evidence map›Paper›PMID 28621736›Full record

ArticleInternational journal of molecular sciences2017

A Panel of MicroRNAs as Diagnostic Biomarkers for the Identification of Prostate Cancer.

Rhonda Daniel, Qianni Wu, Vernell Williams, Gene Clark, Georgi Guruli, Zendra Zehner

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 80 citations in OpenAlex.

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  16. PUMA: PANDA Using MicroRNA Associations.Bioinformatics (Oxford, England) · 2020
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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

6 authors at 2 institutions in 1 country.

Rhonda DanielDepartment of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA. danielr@vcu.edu.
Qianni WuDepartment of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA. wuq3@vcu.edu.
Vernell WilliamsMolecular Diagnostic Laboratory, Department of Pathology, VCU Health System, Virginia Commonwealth University, Richmond, VA 23298-0248, USA. Vernell.Williamson@vcuhealth.org.
Gene ClarkDepartment of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA. clarkgc@mymail.vcu.edu.
Georgi GuruliDivision of Urology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0037, USA. Georgi.guruli@vcuhealth.org.
Zendra ZehnerDepartment of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA. zendra.zehner@vcuhealth.org.
Virginia Commonwealth University Medical Center · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the most common non-cutaneous cancer among men; yet, current diagnostic methods are insufficient, and more reliable diagnostic markers need to be developed. One answer that can bridge this gap may lie in microRNAs. These small RNA molecules impact protein expression at the translational level, regulating important cellular pathways, the dysregulation of which can exert tumorigenic effects contributing to cancer. In this study, high throughput sequencing of small RNAs extracted from blood from 28 prostate cancer patients at initial stages of diagnosis and prior to treatment was used to identify microRNAs that could be utilized as diagnostic biomarkers for prostate cancer compared to 12 healthy controls. In addition, a group of four microRNAs (miR-1468-3p, miR-146a-5p, miR-1538 and miR-197-3p) was identified as normalization standards for subsequent qRT-PCR confirmation. qRT-PCR analysis corroborated microRNA sequencing results for the seven top dysregulated microRNAs. The abundance of four microRNAs (miR-127-3p, miR-204-5p, miR-329-3p and miR-487b-3p) was upregulated in blood, whereas the levels of three microRNAs (miR-32-5p, miR-20a-5p and miR-454-3p) were downregulated. Data analysis of the receiver operating curves for these selected microRNAs exhibited a better correlation with prostate cancer than PSA (prostate-specific antigen), the current gold standard for prostate cancer detection. In summary, a panel of seven microRNAs is proposed, many of which have prostate-specific targets, which may represent a significant improvement over current testing methods.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overBiomarkers, TumorGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedProstateProstatic NeoplasmsReal-Time Polymerase Chain ReactionYoung AdultBiomarkers, TumorMicroRNAshigh throughput RNA sequencingmicroRNAprostate cancerPSAqRT-PCRsmall RNA sequencing

Identifiers

PMID28621736
PMCPMC5486103
OpenAlexW2626034093

What OpenQuestion holds

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LicenceCC BY
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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.