ArticleScientific reports2021
Genetic variations in AURORA cell cycle kinases are associated with glioblastoma multiforme.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Investigating the prognostics and theranostic cell cycle-related genes of Hinokinin in high-grade glioma: an integrated network pharmacology, bioinformatics, and molecular docking approach.Journal, genetic engineering & biotechnology · 2026Article
- Single-Nucleotide Polymorphisms Related to Glioblastoma Risk and Worldwide Epidemiology: A Systematic Review and Meta-Analysis.Journal of personalized medicine · 2025Review
- Aurora kinases signaling in cancer: from molecular perception to targeted therapies.Molecular cancer · 2025Review
- Targeting AURKA with multifunctional nanoparticles in CRPC therapy.Journal of nanobiotechnology · 2024Article
- Influence of Genetic Polymorphisms on the Age at Cancer Diagnosis in a Homogenous Lynch Syndrome Cohort of Individuals Carrying theBiomedicines · 2024Article
- A machine learning model identifies M3-like subtype in AML based on PML/RARα targets.iScience · 2024Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Glioblastoma multiforme (GBM) is the most frequent type of primary astrocytomas. We examined the association between single nucleotide polymorphisms (SNPs) in Aurora kinase A (AURKA), Aurora kinase B (AURKB), Aurora kinase C (AURKC) and Polo-like kinase 1 (PLK1) mitotic checkpoint genes and GBM risk by qPCR genotyping. In silico analysis was performed to evaluate effects of polymorphic biological sequences on protein binding motifs. Chi-square and Fisher statistics revealed a significant difference in genotypes frequencies between GBM patients and controls for AURKB rs2289590 variant (p = 0.038). Association with decreased GBM risk was demonstrated for AURKB rs2289590 AC genotype (OR = 0.54; 95% CI = 0.33-0.88; p = 0.015). Furthermore, AURKC rs11084490 CG genotype was associated with lower GBM risk (OR = 0.57; 95% CI = 0.34-0.95; p = 0.031). Bioinformatic analysis of rs2289590 polymorphic region identified additional binding site for the Yin-Yang 1 (YY1) transcription factor in the presence of C allele. Our results indicated that rs2289590 in AURKB and rs11084490 in AURKC were associated with a reduced GBM risk. The present study was performed on a less numerous but ethnically homogeneous population. Hence, future investigations in larger and multiethnic groups are needed to strengthen these results.
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Registered trials
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