Mao-Lin He1, Yang Wu, Jin-Min Zhao, Zhe Wang, Ying-Bin Chen. 1. Division of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China E-mail : zhaojinmin@hotmail.com.
Abstract
PURPOSE: To explore the association between PIK3CA and AKT single nucleotide polymorphisms(SNP) and osteosarcoma susceptibility. METHODS: TaqMan polymerase chain reaction(PCR) was used to detect the genotypes of SNPs (rs7646409, rs6973569 and rs9866361) in peripheral blood samples from 59 patients with osteosarcoma and from 63 healthy controls. Unconditional logistic regression was used to analyze the correlation between SNPs and osteosarcoma risk. RESULTS: No statistically significant difference was found between osteosarcoma patients and healthy controls in the genotype of AKT rs6973569 (P = 0.7). However, after stratified analysis, the genotype AA of AKT rs6973569 carried a higher risk of osteosarcoma metastasis (OR:2.94, 95%CL:1.00-8.59); the difference of rs7646409 genotype distributions between the case and control groups was statistically significant (P = 0.032). Taking genotype TT as a reference, the risk of osteosarcoma increased three fold in patients with genotype CC (OR:3.47, 95%CL:1.26-9.56). A statistically significant difference was found between the alleles C and T (P=0.005). Further analysis showed that the risk factor was more pronounced in male patients with Enneking's stage IIB and osteoblastic osteosarcoma. PIK3CA rs9866361 did not fit Hardy-Weinberg equilibrium (P < 0.05). CONCLUSIONS: Genotype CC in locus PIK3CA rs7646409 may increase the risk of osteosarcoma in the Chinese population.
PURPOSE: To explore the association between PIK3CA and AKT single nucleotide polymorphisms(SNP) and osteosarcoma susceptibility. METHODS: TaqMan polymerase chain reaction(PCR) was used to detect the genotypes of SNPs (rs7646409, rs6973569 and rs9866361) in peripheral blood samples from 59 patients with osteosarcoma and from 63 healthy controls. Unconditional logistic regression was used to analyze the correlation between SNPs and osteosarcoma risk. RESULTS: No statistically significant difference was found between osteosarcomapatients and healthy controls in the genotype of AKTrs6973569 (P = 0.7). However, after stratified analysis, the genotype AA of AKTrs6973569 carried a higher risk of osteosarcoma metastasis (OR:2.94, 95%CL:1.00-8.59); the difference of rs7646409 genotype distributions between the case and control groups was statistically significant (P = 0.032). Taking genotype TT as a reference, the risk of osteosarcoma increased three fold in patients with genotype CC (OR:3.47, 95%CL:1.26-9.56). A statistically significant difference was found between the alleles C and T (P=0.005). Further analysis showed that the risk factor was more pronounced in male patients with Enneking's stage IIB and osteoblastic osteosarcoma. PIK3CArs9866361 did not fit Hardy-Weinberg equilibrium (P < 0.05). CONCLUSIONS: Genotype CC in locus PIK3CArs7646409 may increase the risk of osteosarcoma in the Chinese population.