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Erschienen in:

07.12.2018 | Laboratory Investigation

Impact of ANXA5 polymorphisms on glioma risk and patient prognosis

verfasst von: Xiaoye Guo, Jinning Song, Junjie Zhao, Bo Wang, Zhongbo Yang, Peng Sun, Mingjun Hu

Erschienen in: Journal of Neuro-Oncology | Ausgabe 1/2019

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Abstract

Background

Glioma, the most common primary malignant brain tumor, is highly malignant with a poor prognosis. We aimed to clarify the relevance of ANXA5 polymorphisms to glioma risk and prognosis among the Chinese Han population.

Method

Six single-nucleotide polymorphisms (SNPs) of ANXA5 were genotyped by Agena MassARRAY in 593 glioma patients and 589 healthy controls. Logistic regression model was used to calculate odds ratios (OR) and 95% confidence intervals (CI). The association between polymorphisms and survival were evaluated using the log-rank test, Kaplan–Meier analysis and Cox regression model.

Results

We found that rs117677079 polymorphism was strongly associated with an increased risk of glioma (OR 1.64, p = 0.003) and a worse prognosis for glioma, especially in high-grade glioma (HR 1.76, p = 0.005). Whereas, rs145619195 CT genotype might weaken the susceptibility (OR 0.63, p = 0.024) and prognosis (HR 0.20, p = 0.025) of glioma. Haplotype analysis showed that haplotype ″GACCG″ in the block (rs41278075, rs2306420, rs117677079, rs2306415 and rs1131239) significantly decreased the susceptibility of glioma (OR 0.61, p = 0.003). Furthermore, we also found that age, extent of resection and chemotherapy were key prognostic factors in glioma patients.

Conclusion

This study firstly provided evidence for the impact of ANXA5 polymorphism on the susceptibility and prognosis of glioma, suggesting ANXA5 variants might have potential roles in the etiology of glioma.
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Metadaten
Titel
Impact of ANXA5 polymorphisms on glioma risk and patient prognosis
verfasst von
Xiaoye Guo
Jinning Song
Junjie Zhao
Bo Wang
Zhongbo Yang
Peng Sun
Mingjun Hu
Publikationsdatum
07.12.2018
Verlag
Springer US
Erschienen in
Journal of Neuro-Oncology / Ausgabe 1/2019
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-018-03069-9

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