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. 2024 Jul;7(7):e2136.
doi: 10.1002/cnr2.2136.

Association of RAN and RANBP2 Gene Polymorphisms With Glioma Susceptibility in Chinese Children

Qianru Lin  1 , Wei Chen  2 , Jiating Tan  1 , Sifan Qian  1 , Huarong Su  1 , Liang Zhao  1 , Li Yuan  3 , Jichen Ruan  1   4 , Xiaokai Huang  1   4 , Haixia Zhou  1   4
Affiliations

Association of RAN and RANBP2 Gene Polymorphisms With Glioma Susceptibility in Chinese Children

Qianru Lin et al. Cancer Rep (Hoboken). 2024 Jul.

Abstract

Background: Glioma is the most prevalent pediatric central nervous system malignancy. RAN, member RAS oncogene family (RAN), is a key signaling molecule that regulates the polymerization of microtubules during mitosis. RAN binding protein 2 (RANBP2) is involved in DNA replication, mitosis, metabolism, and tumorigenesis. The effects of RAN and RANBP2 gene polymorphisms on glioma susceptibility in Chinese children are currently unknown.

Aims: This study aimed to evaluate the association between RAN and RANBP2 gene polymorphisms and glioma susceptibility in Chinese children.

Methods and results: We recruited 191 patients with glioma and 248 children without cancer for this case-control study. Polymerase chain reaction-based TaqMan was applied to gene sequencing and typing. Logistic regression model-calculated odds ratio and 95% confidence interval were used to verify whether the gene polymorphisms (RAN rs56109543 C>T, rs7132224 A>G, rs14035 C>T, and RANBP2 rs2462788 C>T) influence glioma susceptibility. Based on age, gender, tumor subtype, and clinical stage, stratified analyses of risk and protective genotypes were conducted. p values for mutant genotype analyses were all >0.05, indicating no significant correlation between these gene polymorphisms and glioma risk.

Conclusion: RAN and RANBP2 gene polymorphisms were not found to be statistically significantly associated with glioma susceptibility in Chinese children. Other potential functional gene polymorphism loci of RAN and RANBP2 will need to be evaluated in the search for novel glioma biomarkers.

Keywords: RAN; RANBP2; glioma; polymorphism; susceptibility.

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Conflict of interest statement

The authors declare no conflicts of interest.

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