Polymorphisms of vascular endothelial growth factor on prognosis in osteosarcoma patients

Zhao, Dong-ju (1969) Polymorphisms of vascular endothelial growth factor on prognosis in osteosarcoma patients. Pakistan Journal of Medical Sciences, 30 (5). ISSN 1681-715X

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Abstract

Objective: We conducted a cohort study to investigate the association of three common SNPs of vascular endothelial growth factors (VEGF) gene (+1612G/A, -634C/G and +936G/C) with clinical outcome of osteosarcoma in a Chinese population.

Methods: A prospective study was conducted. Genotyping analyses of VEGF -2578C/A, +1612G/A, -634C/G and +936G/C were conducted using polymerase chain reaction-restriction fragment length of polymorphism. Multivariate Cox proportional hazards models were used to calculate hazard ratio (HR) and 95% CI of effect of each genotype of VEGF+1612G/A, -634C/G and +936G/C on PFS and osteosarcoma of osteosarcoma.

Results: The good response rate was 52.29%, and 116 (68.7%) died during the follow-up period. Patients carrying the +936 CC genotype and C allele showed a significantly more response to chemotherapy than those carrying the wild-type genotype. In the Cox proportional hazards model, patients carrying the VEGF -634 T allele was associated with a significantly decreased risk of PFS and Osteosarcoma (OS). Patients carrying the +936 CC genotype and C allele were associated with a significantly decreased risk of presenting progressive disease or death from osteosarcoma when compared with those carrying the wild-type genotype. However, we observed no significant association between the VEGF -2578C/A and +1612A/G polymorphisms and PFS and Osteosarcoma (OS) in gastric cancer patients.

Conclusions: We found that VEGF -634G/C and +936T/C polymorphisms may affect the prognosis of osteosarcoma patients. These finding may be useful for predicting the clinical outcome of patients with Osteosarcoma (OS). Further studies are greatly needed to confirm the clinical significance of these results.

Item Type: Article
Subjects: Digital Open Archives > Medical Science
Depositing User: Unnamed user with email support@digiopenarchives.com
Date Deposited: 13 May 2023 06:22
Last Modified: 02 Oct 2024 07:05
URI: http://geographical.openuniversityarchive.com/id/eprint/1167

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