Evidence map›Paper›PMID 30259393›Full record

SynthesisMolecular diagnosis & therapy2018

Systematic Review and Meta-analysis of the Prognostic Significance of miRNAs in Melanoma Patients.

Shanthi Sabarimurugan, Madhav Madurantakam Royam, Ankita Das, Shrestha Das, Gothandam K M, Rama Jayaraj

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular diagnosis & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 8 pooled it
2.5field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 8 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  9. Review
  10. Article
  11. Biocompatible exosomes derived fromRegenerative biomaterials · 2025
    Article
  12. Review
  13. Mapping Research on miRNAs in Cancer: A Global Data Analysis and Bibliometric Profiling Analysis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  14. Article
  15. Computational and Bioinformatics Methods for MicroRNA Gene Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. Review
  18. Review
  19. microRNAs in the Regulation of Melanogenesis.International journal of molecular sciences · 2021
    Review
  20. Article
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 2 countries.

Shanthi SabarimuruganSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Madhav Madurantakam RoyamSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Ankita DasSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Shrestha DasSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Gothandam K MSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Rama JayarajCollege of Health and Human Sciences, Charles Darwin University, Ellengowan Drive, Darwin, NT, 0909, Australia. Rama.Jayaraj@cdu.edu.au.ORCID http://orcid.org/0000-0002-2179-0510
Vellore Institute of Technology University · INCharles Darwin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelanoma is the most aggressive and deadly form of skin cancer. The molecular variability involving microRNA (miRNA) expression plays a significant role in melanogenesis, which leads to poor prognostic effects in melanoma. Since there is a scarcity of comprehensive data on the prognostic role of miRNAs in melanoma patients, this study focuses on filling this knowledge gap through a systematic review and meta-analysis.

methodsThe included studies were extracted from several bibliographic databases between 2012 and 2018 using multiple keywords according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The hazard ratios (HRs) and 95% confidence intervals (CIs) for different survival endpoints were compared to the high and low expression levels of miRNAs. The mean effect size of HR values was estimated using a random-effects model of meta-analysis. Inverted funnel plot symmetry was used to assess publication bias. Subgroup analysis was carried out individually for multiple miRNAs across different studies.

resultsA total of 24 studies across eight countries were included, of which 16 studies were eligible for meta-analysis. Twenty-five miRNA expression levels were studied from 2669 melanoma patients to estimate the association between the prognostic role of miRNAs and survival outcome in these 16 studies. The overall pooled effect size (HR) for up- and downregulated miRNAs was 1.043 (95% CI 0.921-1.181; p = 0.506), indicating that the miRNA expression increased the likelihood of death in melanoma patients by 4.3%. Subgroup analysis for miRNA10b, miRNA16 and miRNA21 showed a poor prognosis. The quality assessment revealed that 16 studies were good quality and eight studies were of fair quality.

conclusionThis is one of the first pooled meta-analysis studies on the role of miRNAs in the prognosis of melanoma. Our findings are inconclusive but suggest that miRNA expression could predict poor survival in melanoma patients. Therefore, miRNA expression could act as promising prognostic marker for melanoma.

Indexed as

Biomarkers, TumorHumansMelanomaMicroRNAsPrognosisBiomarkers, TumorMicroRNAs

Identifiers

PMID30259393
OpenAlexW2893900766

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.