Evidence map›Paper›PMID 39471019›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Alterations in miRNA Expression and Their Role in the Pathogenesis of Cervical Cancer.

Paula Samyla Fernandes Feitosa, Fernando Liberalino Fernandes, Tauê Posada Pereira, Daria Raquel Queiroz De Almeida, Amanda Estevam Carvalho, Valéria Duarte De Almeida, Gilson Aquino Cavalcante, José Antonio Da Silva Júnior, Tayline Dantas Rodrigues, Ellany Gurgel Cosme Do Nascimento and 3 more

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Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

13 authors.

Paula Samyla Fernandes FeitosaDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.ORCID 0009-0006-8173-0110
Fernando Liberalino FernandesDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.ORCID 0009-0009-9260-2255
Tauê Posada PereiraDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Daria Raquel Queiroz De AlmeidaDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Amanda Estevam CarvalhoDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Valéria Duarte De AlmeidaDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Gilson Aquino CavalcanteDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
José Antonio Da Silva JúniorDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Tayline Dantas RodriguesDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Ellany Gurgel Cosme Do NascimentoDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.
Christiane Medeiros BezerraDepartment of Microbiology and Parasitology, Federal University of Rio Grande do Norte, Natal, Brazil.
José Veríssimo FernandesDepartment of Microbiology and Parasitology, Federal University of Rio Grande do Norte, Natal, Brazil.
Thales Allyrio Araújo De Medeiros FernandesDepartment of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Brazil.ORCID 0000-0003-4559-8918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer has a high incidence and mortality rate, affecting more than half a million women in 2018. Its development is strongly related to high-risk HPV infection. After infection, several cellular molecules are affected, including microRNAs (miRNAs), which are the focus of our study. We aimed to investigate changes in microRNA expression associated with cervical cancer and analyze the biological significance of these changes induced by HPV proteins.

methodsWe analyzed transcriptome data retrieved from the NCBI website to investigate miRNA and gene expression in cervical cancer. We evaluated the alteration in expression of miRNAs and genes (between normal tissues and cervical cancer) using the GEO2R tool and selected those with significantly altered expression (p-value < 0.05). The target genes of miRNAs were predicted using the miRNA Pathway Dictionary Database. Subsequently, we created a network of biological pathways affected by miRNA deregulation using Cytoscape software and associated the altered miRNAs with the Hallmarks of Cancer using COSMIC v84.

resultsWe identified 10 miRNAs and 82 target genes with significantly altered expression levels in cervical cancer that matched the predicted results. In addition, the deregulation of these genes causes changes in 52 biological pathways. These miRNAs affected pathways such as interferon signaling (miR-106b-5p and miR-1183), signaling by interleukins (miR-557, miR-106b-5p, miR-15a-5p, and miR-21-5p), oxidative stress-induced senescence (miR-557 and miR-15a-5p), cell cycle checkpoints (miR-557), transcriptional regulation by P53 (miR-557 and miR-15a-5p), and the exchange of oxygen and carbon dioxide in erythrocytes (miR-15a-5p).

conclusionAlterations in miRNA expression play an important role in the pathogenesis of cervical cancer, affecting several biological pathways and Hallmarks of Cancer, such as immune system regulation, cell cycle regulation, and energy metabolism. Thus, their analysis can contribute to the development of diagnostic and prognostic biomarkers and more effective treatments for cervical cancer.

Indexed as

Gene Expression Regulation, NeoplasticMicroRNAsUterine Cervical NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingGene Regulatory NetworksHumansPapillomavirus InfectionsPrognosisTranscriptomeBiomarkers, TumorMicroRNAsHuman Papillomavirus VirusesMicroRNAsUterine Cervical Neoplasms

Identifiers

PMID39471019
PMCPMC11711363

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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.