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中国人群中PIK3CA和AKT基因多态性与骨肉瘤易感性的关系

PIK3CA and AKT gene polymorphisms in susceptibility to osteosarcoma in a Chinese population.

作者信息

He Mao-Lin, Wu Yang, Zhao Jin-Min, Wang Zhe, Chen Ying-Bin

机构信息

Division of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China E-mail :

出版信息

Asian Pac J Cancer Prev. 2013;14(9):5117-22. doi: 10.7314/apjcp.2013.14.9.5117.

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.

摘要

目的

探讨PIK3CA和AKT单核苷酸多态性(SNP)与骨肉瘤易感性之间的关联。

方法

采用TaqMan聚合酶链反应(PCR)检测59例骨肉瘤患者和63例健康对照者外周血样本中SNP(rs7646409、rs6973569和rs9866361)的基因型。采用非条件逻辑回归分析SNP与骨肉瘤风险之间的相关性。

结果

骨肉瘤患者与健康对照者在AKT rs6973569基因型上无统计学显著差异(P = 0.7)。然而,分层分析后,AKT rs6973569的AA基因型携带更高的骨肉瘤转移风险(OR:2.94,95%CI:1.00 - 8.59);病例组和对照组之间rs7646409基因型分布差异具有统计学意义(P = 0.032)。以TT基因型为参照,CC基因型患者的骨肉瘤风险增加3倍(OR:3.47,95%CI:1.26 - 9.56)。等位基因C和T之间存在统计学显著差异(P = 0.005)。进一步分析表明,该危险因素在Enneking IIB期男性患者和成骨性骨肉瘤患者中更为明显。PIK3CA rs9866361不符合Hardy-Weinberg平衡(P < 0.05)。

结论

PIK3CA rs7646409位点的CC基因型可能增加中国人群患骨肉瘤的风险。

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