Evidence map›Paper›PMID 29907753›Full record

ReviewScientific reports2018

Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets.

Ádám Nagy, András Lánczky, Otília Menyhárt, Balázs Győrffy

Erratum issuedAbstract readReview
In one paragraph

Review in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 860 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
860citing 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

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

  1. Pooled it
  2. Article
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  7. Identification ofTranslational cancer research · 2026
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  17. ALKBH5-mediated NPC2 mRNA mFunctional & integrative genomics · 2025
    Article
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  19. Article
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800 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ádám NagyMTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Magyar Tudósok körútja 2, 1117, Budapest, Hungary.
András LánczkyMTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Magyar Tudósok körútja 2, 1117, Budapest, Hungary.
Otília MenyhártMTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Magyar Tudósok körútja 2, 1117, Budapest, Hungary.
Balázs GyőrffyMTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Magyar Tudósok körútja 2, 1117, Budapest, Hungary. gyorffy.balazs@ttk.mta.hu.ORCID 0000-0002-5772-3766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple studies suggested using different miRNAs as biomarkers for prognosis of hepatocellular carcinoma (HCC). We aimed to assemble a miRNA expression database from independent datasets to enable an independent validation of previously published prognostic biomarkers of HCC. A miRNA expression database was established by searching the TCGA (RNA-seq) and GEO (microarray) repositories to identify miRNA datasets with available expression and clinical data. A PubMed search was performed to identify prognostic miRNAs for HCC. We performed a uni- and multivariate Cox regression analysis to validate the prognostic significance of these miRNAs. The Limma R package was applied to compare the expression of miRNAs between tumor and normal tissues. We uncovered 214 publications containing 223 miRNAs identified as potential prognostic biomarkers for HCC. In the survival analysis, the expression levels of 55 and 84 miRNAs were significantly correlated with overall survival in RNA-seq and gene chip datasets, respectively. The most significant miRNAs were hsa-miR-149, hsa-miR-139, and hsa-miR-3677 in the RNA-seq and hsa-miR-146b-3p, hsa-miR-584, and hsa-miR-31 in the microarray dataset. Of the 223 miRNAs studied, the expression was significantly altered in 102 miRNAs in tumors compared to normal liver tissues. In summary, we set up an integrated miRNA expression database and validated prognostic miRNAs in HCC.

Indexed as

Databases, Nucleic AcidBiomarkers, TumorCarcinoma, HepatocellularDisease-Free SurvivalFemaleHumansLiver NeoplasmsMaleMicroRNAsRNA, NeoplasmSurvival RateBiomarkers, TumorMicroRNAsRNA, Neoplasm

Identifiers

PMID29907753
PMCPMC6003936

What OpenQuestion holds

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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.