Xiaoying Ding1, Yaqin Zhao1, Haozheng Yuan1, Yong Zhang1, Ya Gao2. 1. Department of Anesthesiology. 2. Department of Pediatric Surgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Abstract
BACKGROUND: Genetic factors play a crucial role in the glioma risk and prognosis of glioma patients. To explore the role of plasmacytoma variant translocation 1 (PVT1) polymorphism in the susceptibility and survival of glioma in the Chinese Han population, we conducted a case-control study. METHODS: The three single-nucleotide polymorphisms (SNPs) in PVT1 were genotyped using Agena MassARRAY from 575 patients with glioma and 500 healthy controls. We used the χ2 test to analyze the differences in distribution of allele and genotype between the cases and controls. Odds ratio and 95% confidence interval (CI) were calculated by logistic regression analysis to evaluate the association SNPs with glioma risk. The effects of polymorphisms and clinical features on survival of glioma patients were evaluated using the log-rank test, Kaplan-Meier and Cox regression analysis. RESULTS: We found that rs13255292 was associated with a decreased risk of glioma in the recessive model in overall or male; and rs4410871 was significantly associated with an increased the risk of glioma in age ≤40 years old or female. Moreover, the extent of resection and chemotherapy were found to be key prognostic factors in survival of glioma patients. However, the gender, age, tumor grade, radiotherapy and PVT1 polymorphisms have no effect on prognosis of glioma patients. CONCLUSIONS: Our results indicated that PVT1 polymorphisms (rs13255292 and rs4410871) were associated with glioma susceptibility, but have no effect on prognosis of glioma patients. Further studies with large samples are required to confirm the results.
BACKGROUND: Genetic factors play a crucial role in the glioma risk and prognosis of glioma patients. To explore the role of plasmacytoma variant translocation 1 (PVT1) polymorphism in the susceptibility and survival of glioma in the Chinese Han population, we conducted a case-control study. METHODS: The three single-nucleotide polymorphisms (SNPs) in PVT1 were genotyped using Agena MassARRAY from 575 patients with glioma and 500 healthy controls. We used the χ2 test to analyze the differences in distribution of allele and genotype between the cases and controls. Odds ratio and 95% confidence interval (CI) were calculated by logistic regression analysis to evaluate the association SNPs with glioma risk. The effects of polymorphisms and clinical features on survival of glioma patients were evaluated using the log-rank test, Kaplan-Meier and Cox regression analysis. RESULTS: We found that rs13255292 was associated with a decreased risk of glioma in the recessive model in overall or male; and rs4410871 was significantly associated with an increased the risk of glioma in age ≤40 years old or female. Moreover, the extent of resection and chemotherapy were found to be key prognostic factors in survival of glioma patients. However, the gender, age, tumor grade, radiotherapy and PVT1 polymorphisms have no effect on prognosis of glioma patients. CONCLUSIONS: Our results indicated that PVT1 polymorphisms (rs13255292 and rs4410871) were associated with glioma susceptibility, but have no effect on prognosis of glioma patients. Further studies with large samples are required to confirm the results.