Impact of TGF-β1 -509C/T and 869T/C polymorphisms on glioma risk and patient prognosis
2015; SAGE Publishing; Volume: 36; Issue: 8 Linguagem: Inglês
10.1007/s13277-015-3343-0
ISSN1423-0380
AutoresJoana Vieira de Castro, Céline S. Gonçalves, Sandra Costa, Paulo Linhares, Ruí Vaz, Ricardo Nabiço, Júlia Amorim, Marta Viana‐Pereira, Rui Manuel Reis, Bruno M. Costa,
Tópico(s)Glioma Diagnosis and Treatment
ResumoTransforming growth factor beta (TGF-β) plays an important role in carcinogenesis. Two polymorphisms in the TGF-β1 gene (-509C/T and 869T/C) were described to influence susceptibility to gastric and breast cancers. The 869T/C polymorphism was also associated with overall survival in breast cancer patients. In the present study, we investigated the relevance of these TGF-β1 polymorphism in glioma risk and prognosis. A case-control study that included 114 glioma patients and 138 cancer-free controls was performed. Single nucleotide polymorphisms (SNPs) were evaluated by polymerase chain reaction followed by restriction fragment length polymorphism (PCR-RFLP). Univariate and multivariate logistic regression analyses were used to calculate odds ratio (OR) and 95 % confidence intervals (95 % CI). The influence of TGF-β1 -509C/T and 869T/C polymorphisms on glioma patient survival was evaluated by a Cox regression model adjusted for patients' age and sex and represented in Kaplan-Meier curves. Our results demonstrated that TGF-β1 gene polymorphisms -509C/T and 869T/C are not significantly associated with glioma risk. Survival analyses showed that the homozygous -509TT genotype associates with longer overall survival of glioblastoma (GBM) patients when compared with patients carrying CC + CT genotypes (OR, 2.41; 95 % CI, 1.06-5.50; p = 0.036). In addition, the homozygous 869CC genotype is associated with increased overall survival of GBM patients when compared with 869TT + TC genotypes (OR, 2.62; 95 % CI, 1.11-6.17; p = 0.027). In conclusion, this study suggests that TGF-β1 -509C/T and 869T/C polymorphisms are not significantly associated with risk for developing gliomas but may be relevant prognostic biomarkers in GBM patients.
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