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Observational Study
Association Between Single Nucleotide Polymorphisms in DNA Polymerase Kappa Gene and Breast Cancer Risk in Chinese Han Population: A STROBE-Compliant Observational Study.
- Zhi-Jun Dai, Xing-Han Liu, Yun-Feng Ma, Hua-Feng Kang, Tian-Bo Jin, Zhi-Ming Dai, Hai-Tao Guan, Meng Wang, Kang Liu, Cong Dai, Xue-Wen Yang, and Xi-Jing Wang.
- From the Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University (Z-JD, X-HL, X-JW, H-FK, H-TG, MW, KL, CD, X-WY, X-JW); Department of Immunology and Pathogenic Biology, Xi'an Jiaotong University (Y-FM); National Engineering Research Center for Miniaturized Detection Systems, School of Life Sciences, Northwest University (T-BJ); and Department of Anesthesia, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China (Z-MD).
- Medicine (Baltimore). 2016 Jan 1; 95 (2): e2466e2466.
AbstractDNA polymerases are responsible for ensuring stability of the genome and avoiding genotoxicity caused by a variety of factors during DNA replication. Consequently, these proteins have been associated with an increased cancer risk. DNA polymerase kappa (POLK) is a specialized DNA polymerase involved in translesion DNA synthesis (TLS) that allows DNA synthesis over the damaged DNA. Recently, some studies investigated relationships between POLK polymorphisms and cancer risk, but the role of POLK genetic variants in breast cancer (BC) remains to be defined. In this study, we aimed to evaluate the effects of POLK polymorphisms on BC risk.We used the Sequenom MassARRAY method to genotype 3 single nucleotide polymorphisms (SNPs) in POLK (rs3213801, rs10077427, and rs5744533), in order to determine the genotypes of 560 BC patients and 583 controls. The association of genotypes and BC was assessed by computing the odds ratio (OR) and 95% confidence intervals (95% CIs) from logistic regression analyses.We found a statistically significant difference between patient and control groups in the POLK rs10077427 genotypic groups, excluding the recessive model. A positive correlation was also found between positive progesterone receptor (PR) status, higher Ki67 index, and rs10077427 polymorphism. For rs5744533 polymorphism, the codominant, dominant, and allele models frequencies were significantly higher in BC patients compared to healthy controls. Furthermore, our results indicated that rs5744533 SNP has a protective role in the postmenopausal women. However, we failed to find any associations between rs3213801 polymorphism and susceptibility to BC.Our results indicate that POLK polymorphisms may influence the risk of developing BC, and, because of this, may serve as a prognostic biomarker among Chinese women.
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