Sapcharoen Kamonpat, Sanguansermsri Phanchana, Yasothornsrikul Sukkid, Muisuk Kanha, Srikummool Metawee
Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. Email:
Department of Forensic Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Asian Pac J Cancer Prev. 2019 Aug 1;20(8):2493-2502. doi: 10.31557/APJCP.2019.20.8.2493.
Background: Biomarkers play an important role in oncology, including risk assessment, treatment prediction, and monitoring the progression of disease. In breast cancer, many genes are used as biomarkers. Since, several SNP variations of hallmark – related genes have been reported to be of value in risk prediction in various cancers and populations, some genetic polymorphism loci were combined and reported as biomarkers for use in the risk assessment of breast cancer in Thai people. Methods: Twelve cancer gene hallmarks (15 polymorphic loci) were selected and genotyped in 184 breast cancer patients and 176 healthy individuals in Phitsanulok, Thailand. Results: AA genotype of CD44 rs187116 (c.67+4883G>A), the C allele of CD133 rs2240688 (c.*667A>C), the *2 allele (4 bp deletion) of NF-κB1 rs28362491 and the homozygous null allele genotype of GSTM1 were significantly associated with an increased risk of breast cancer (p<0.05). A combination of these 4 significant loci showed that AA-AA-*1*1-homozygous null allele genotype has the greatest correlation with increased risk of breast cancer (OR = 21.00; 95% CI: 1.77 to 248.11; p = 0.015), followed by GA-AA-*2*2- homozygous null allele genotype (p = 0.037) and GG-AC-*1*2- homozygous null allele genotype (p = 0.028). Conclusion: These findings suggest that the polymorphisms of CD44 rs187116 (c.67+4883G>A), CD133 rs2240688 (c.*667A>C), NF-κB1 rs28362491 and GSTM1 homozygous null allele genotype might be associated with an increased risk of breast cancer, and this gene combination could possibly be used as biomarkers for risk prediction, which would be of benefit in planning health surveillance and cancer prevention.
生物标志物在肿瘤学中发挥着重要作用,包括风险评估、治疗预测以及监测疾病进展。在乳腺癌中,许多基因被用作生物标志物。由于已有报道称一些与标志性相关基因的单核苷酸多态性(SNP)变异在各种癌症和人群的风险预测中具有价值,因此一些基因多态性位点被组合起来,并作为泰国人群乳腺癌风险评估的生物标志物进行了报道。方法:在泰国彭世洛,对184例乳腺癌患者和176例健康个体选取了12个癌症基因标志性位点(15个多态性位点)进行基因分型。结果:CD44 rs187116(c.67 + 4883G>A)的AA基因型、CD133 rs2240688(c.667A>C)的C等位基因、NF-κB1 rs28362491的2等位基因(4bp缺失)以及GSTM1的纯合无效等位基因基因型与乳腺癌风险增加显著相关(p<0.05)。这4个显著位点的组合显示,AA-AA-*1*1-纯合无效等位基因基因型与乳腺癌风险增加的相关性最大(OR = 21.00;95%CI:1.77至248.11;p = 0.015),其次是GA-AA-*2*2-纯合无效等位基因基因型(p = 0.037)和GG-AC-*1*2-纯合无效等位基因基因型(p = 0.028)。结论:这些发现表明,CD44 rs187116(c.67 + 4883G>A)、CD133 rs2240688(c.*667A>C)、NF-κB1 rs28362491的多态性以及GSTM1纯合无效等位基因基因型可能与乳腺癌风险增加有关,并且这种基因组合可能用作风险预测的生物标志物,这将有助于规划健康监测和癌症预防。