Evidence map›Paper›PMID 29945565›Full record

SynthesisBMC cancer2018

MicroRNAs as markers of progression in cervical cancer: a systematic review.

Barbara Pardini, Daniela De Maria, Antonio Francavilla, Cornelia Di Gaetano, Guglielmo Ronco, Alessio Naccarati

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 2 syntheses or guidelines pooled it, 177 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. MicroRNAs as Biomarkers of Cervical Cancers.International journal of molecular sciences · 2026
    Review
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  20. Diagnostic value for methylation in cervical cancer based on a small-molecule fluorescent probe targeting DNMT1.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article

44 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

6 authors at 2 institutions in 2 countries.

Barbara PardiniItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126, Turin, Italy.
Daniela De MariaItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126, Turin, Italy.
Antonio FrancavillaItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126, Turin, Italy.
Cornelia Di GaetanoItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126, Turin, Italy.
Guglielmo RoncoCenter for Cancer Epidemiology and Prevention, AO City of Health and Science, Via Cavour, 31 10123, Turin, Italy.
Alessio NaccaratiItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126, Turin, Italy. alessio.naccarati@iigm.it.ORCID http://orcid.org/0000-0001-5774-0905
Italian institute for Genomic Medicine · ITPiedmont Reference Center for Epidemiology and Cancer Prevention · IT

Funding

Associazione Italiana per la Ricerca sul Cancro IG2013 N.14119European Union FP7 CoHeahr project, FP7 grant agreement n HEALTH-F3-2013e603019Fondazione Umberto Veronesi Postdoctoral Fellowships years 2014-2017
6 · The paper itself

Abstract

backgroundInvasive cervical cancer (ICC) is caused by high-risk human papillomavirus types (HR-HPVs) and is usually preceded by a long phase of intraepithelial neoplasia (CIN). Before invasion, (epi) genetic changes, potentially applicable as molecular markers within cervical screening, occur in HPV host cells. Epigenetic alterations, such as dysregulation of microRNA (miRNA) expression, are frequently observed in ICC. The mechanisms and role of miRNA dysregulation in cervical carcinogenesis are still largely unknown.

methodsWe provide an overview of the studies investigating miRNA expression in relation to ICC progression, highlighting their common outcomes and their weaknesses/strengths. To achieve this, we systematically searched through Pubmed database all articles between January 2010 and December 2017.

resultsFrom the 24 studies retrieved, miR-29a and miR-21 are the most frequently down- and up-regulated in ICC progression, respectively. Microarray-based studies show a small overlap, with miR-10a, miR-20b, miR-9, miR-16 and miR-106 found repeatedly dysregulated. miR-34a, miR-125 and miR-375 were also found dysregulated in cervical exfoliated cells in relation to cancer progression.

conclusionsThe pivotal role of miRNAs in ICC progression and initial development is becoming more and more relevant. Available studies are essentially based on convenience material, entailing possible selection bias, and frequently of small size: all these points still represent a limitation to a wide comprehension of miRNAs relevant for ICC. The targeted approach instead of a genome-wide investigation still precludes the identification of all the relevant miRNAs in the process. The implementation of deep sequencing on large scale population-based studies will help to discover and validate the relation between altered miRNA expression and CC progression for the identification of biomarkers. Optimally, once explored on a miRNome scale, small specific miRNA signatures maybe used in the context of screening.

Indexed as

BiomarkersDisease ProgressionFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMicroRNAsPapillomavirus InfectionsUterine Cervical NeoplasmsBiomarkersMicroRNAsCancer progressionCervical cancerCervical intraepithelial neoplasia (CIN) lesionsHPV infectionMicroarraymicroRNAqPCR

Identifiers

PMID29945565
PMCPMC6020348
OpenAlexW2810774671

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.