Evidence map›Paper›PMID 41054389›Full record

ArticleEuropean journal of translational myology2025

Key cell cycle genes in cervical cancer and their potential role in neuromuscular complications: a bioinformatics perspective.

Huijuan Qi, Xiaojing Liu, Jialiang Sun, Lina Dong

Abstract read
In one paragraph

Article in European journal of translational myology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Huijuan QiDepartment of Gynecology, Affiliated Hospital of Chifeng University, Chifeng City.
Xiaojing LiuDepartment of Gynecology, Affiliated Hospital of Chifeng University, Chifeng City.
Jialiang SunDepartment of Gynecology, Affiliated Hospital of Chifeng University, Chifeng City.
Lina DongDepartment of Gynecology, Affiliated Hospital of Chifeng University, Chifeng City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify key cell cycle-related genes involved in cervical cancer progression using comprehensive bioinformatics analyses and to explore their potential implications in neuromuscular complications associated with cancer pathology or treatment. Gene expression profiles related to cervical cancer (GSE63514, GSE6791, GSE52903, and GSE9750) were retrieved from the GEO database. Differentially Expressed Genes (DEGs) distinguishing tumor tissues from normal tissues were determined through Venn diagram analysis. Functional enrichment was conducted via Gene Ontology (GO) and KEGG pathway analyses. A Protein-Protein Interaction (PPI) network was constructed using the STRING database, and core hub genes were screened through Cytoscape. Validation of selected genes was performed using GEPIA. A total of 117 DEGs were identified, with 89 upregulated and 28 downregulated genes. In this case, five hub genes-CDK1, CCNA2, CDC20, TOP2A, and EXO1-displayed significant overexpression in cervical cancer tissues with p values lower than 0.05. It is noteworthy that CCNA2 was associated with increased tumor stage and worse Disease-Free Survival (DFS), and CDK1 with worse Overall Survival (OS). These genes play crucial roles in the regulatory circuits of the cell cycle, and their altered expression may impact a range of cellular processes beyond cancer, such as the neuromuscular signalling abnormalities seen in some patients with cervical cancer. The specific genes associated with the cell cycle can act as prognostic biomarkers and may also have an influence in mediating neuromuscular complications due to their impact on mitotic control and molecular signaling pathways throughout the body. This latter aspect is helpful for the prognosis of cancer, including cervical cancer, as well as for the multidisciplinary treatment of neuromuscular symptoms that some cervical cancer patients may have.

Indexed as

bioinformaticscell cycle genesCervical cancerdifferential gene expressionneuromuscular complicationsprognosis

Identifiers

PMID41054389
PMCPMC12801106

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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.