Evidence map›Paper›PMID 29991871›Full record

ReviewWorld journal of gastroenterology2018

Role of microRNAs in the main molecular pathways of hepatocellular carcinoma.

Francesco Vasuri, Michela Visani, Giorgia Acquaviva, Thomas Brand, Michelangelo Fiorentino, Annalisa Pession, Giovanni Tallini, Antonia D'Errico, Dario de Biase

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Francesco VasuriPathology Unit, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), S.Orsola-Malpighi Hospital, University of Bologna, Bologna 40138, Italy.
Michela VisaniDepartment of Medicine (Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale), Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna - School of Medicine, Bologna 40138, Italy. michela.visani@unibo.it.
Giorgia AcquavivaDepartment of Medicine (Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale), Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna - School of Medicine, Bologna 40138, Italy.
Thomas BrandDepartment of Pharmacy and Biotechnology (Dipartimento di Farmacia e Biotecnologie), University of Bologna, Bologna 40127, Italy.
Michelangelo FiorentinoPathology Unit, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), S.Orsola-Malpighi Hospital, University of Bologna, Bologna 40138, Italy.
Annalisa PessionDepartment of Pharmacy and Biotechnology (Dipartimento di Farmacia e Biotecnologie), Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna, Bologna 40138, Italy.
Giovanni TalliniDepartment of Medicine (Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale), Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna - School of Medicine, Bologna 40138, Italy.
Antonia D'ErricoPathology Unit, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), S.Orsola-Malpighi Hospital, University of Bologna, Bologna 40138, Italy.
Dario de BiaseDepartment of Pharmacy and Biotechnology (Dipartimento di Farmacia e Biotecnologie), Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna, Bologna 40138, Italy.
University of Bologna · ITAzienda USL di Bologna · ITPoliclinico S.Orsola-Malpighi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver malignant neoplasia. HCC is characterized by a poor prognosis. The need to find new molecular markers for its diagnosis and prognosis has led to a progressive increase in the number of scientific studies on this topic. MicroRNAs (miRNAs) are small non-coding RNA that play a role in almost all main cellular pathways. miRNAs are involved in the regulation of expression of the major tumor-related genes in carcinogenesis, acting as oncogenes or tumor suppressor genes. The aim of this review was to identify papers published in 2017 investigating the role of miRNAs in HCC tumorigenesis. miRNAs were classified according to their role in the main molecular pathways involved in HCC tumorigenesis: (1) mTOR; (2) Wnt; (3) JAK/STAT; (4) apoptosis; and (5) MAPK. The role of miRNAs in prognosis/response prediction was taken into consideration. Bearing in mind that the analysis of miRNAs in serum and other body fluids would be crucial for clinical management, the role of circulating miRNAs in HCC patients was also investigated. The most represented miRNA-regulated pathway in HCC is mTOR, but apoptosis, Wnt, JAK/STAT or MAPK pathways are also influenced by miRNA expression levels. These miRNAs could thus be used in clinical practice as diagnostic, prognostic or therapeutic targets for HCC treatment.

Indexed as

Gene Expression Regulation, NeoplasticAntineoplastic AgentsApoptosisBiomarkers, TumorCarcinogenesisCarcinoma, HepatocellularHumansJanus KinasesLiver NeoplasmsMAP Kinase Signaling SystemMicroRNAsPrognosisSTAT Transcription FactorsTOR Serine-Threonine KinasesWnt Signaling PathwayAntineoplastic AgentsBiomarkers, TumorJanus KinasesMicroRNAsMTOR protein, humanSTAT Transcription FactorsTOR Serine-Threonine KinasesHepatocellular carcinomaMicroRNAMolecular pathwaymTORPrognosisReview

Identifiers

PMID29991871
PMCPMC6034147
OpenAlexW2844162114

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.