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Br J Biomed Sci ; 78(3): 135-140, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33393424

ABSTRACT

Background: Glioma, the most common tumour in children next to leukaemia, is difficult to treat, with a poor prognosis and high recurrence rate. Xeroderma pigmentosum group G (XPG) plays a key role in the nucleotide excision repair pathway, which may modulate individual susceptibility to developing cancer. We hypothesized links between XPG variants and glioma in children.Methods: We tested our hypothesis in a study comparing 171 glioma cases with 228 age and sex matched controls, determining XPG polymorphisms rs2094258 C > T, rs751402 C > T, rs2296147 T > C, rs1047768 T > C, rs873601 G > A by standard molecular genetic methods.Results: rs2094258 C > T was associated with a decreased glioma risk, but carrying the rs1047768 C or rs873601 A allele brought an increased risk. Subjects carrying 5 risk genotypes had a significantly increased glioma risk at an adjusted odds ratio of 1.97 (95% confidence Interval 1.26-3.08)(p = 0.003) when compared with those carrying 0-4 risk genotypes. Furthermore, children with 5 risk genotypes had a higher glioma risk when aged >60 months, were more likely to be male, and with subtypes of astrocytic tumours, and low-grade clinical stage, when compared to those with 0-4 risk genotypes. Preliminary functional exploration suggested that rs2094258 is linked with the expression of its surrounding genes in the expression quantitative trait locus analysis.Conclusion: Certain variants of XPG are risk factors for paediatric glioma, and so may be useful in early diagnosis.


Subject(s)
Brain Neoplasms/genetics , DNA-Binding Proteins/genetics , Endonucleases/genetics , Glioma/genetics , Nuclear Proteins/genetics , Polymorphism, Single Nucleotide , Transcription Factors/genetics , Age Factors , Brain Neoplasms/pathology , Case-Control Studies , Child , Child, Preschool , China , Female , Genetic Association Studies , Genetic Predisposition to Disease , Glioma/pathology , Humans , Male , Neoplasm Staging , Phenotype , Risk Assessment , Risk Factors
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