Wenjing Zhang, Junhui Han, Panpan Wan, Man Zhang, Yanting Chang, Yan Yan, Hang Meng, Mengnan Hou, Tianbo Jin
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引用次数: 0
摘要
目的：kr ppel样因子（KLFs）与子宫内膜癌（EC）的进展有关。本研究探讨了中国人群中KLF5、KLF12变异与EC风险的相关性。方法：利用Agena MassARRAY技术平台对509名诊断为EC的女性和506名年龄匹配的健康女性的KLF5和KLF12基因的6个单核苷酸多态性（snp）进行基因分型。随后，采用logistic回归分析计算KLF5和KLF12 snp与EC风险的关系。利用多因素降维分析（multifactor dimensionality reduction， MDR）分析KLF5和KLF12 snp之间的相互作用以预测EC风险。结果：KLF12 rs12429889与EC风险显著相关(共显性：OR = 1.53, p = 0.003；显性：OR = 1.54, p = 0.004)。此外，rs7329599与≤55岁参与者的EC风险显著相关(共显性：OR = 0.63, p = 0.014；显性：OR = 0.67, p = 0.024)，而rs12429889与bb0 ~ 55岁参与者的EC风险显著相关(共显性：OR = 1.98, p = 0.004；显性：OR = 2.06, p = 0.002)。结论：我们的研究结果揭示了KLF12 rs12429889和rs7329599与EC风险之间的显著相关性，突出了它们作为诊断性生物标志物的潜力。[图：见正文]。
Variants of KLF5 and KLF12 were related to endometrial cancer risk in the Chinese population.
Objectives: Krüppel‑like factors (KLFs) are implicated in the progression of endometrial cancer (EC). This present study explored the correlation between variants of KLF5, KLF12 and EC risk in the Chinese population.
Methods: The Agena MassARRAY technology platform was utilized to genotype six single nucleotide polymorphisms (SNPs) in KLF5 and KLF12 genes among 509 women diagnosed with EC and 506 age-matched healthy women. Subsequently, the relationship between SNPs in KLF5 and KLF12 and EC risk was calculated using logistic regression analysis. The interactions between SNPs in KLF5 and KLF12 were analyzed to predict EC risk using multifactor dimensionality reduction (MDR) analysis.
Results: KLF12 rs12429889 was significantly associated with EC risk (codominant: OR = 1.53, p = 0.003; dominant: OR = 1.54, p = 0.004). In addition, rs7329599 was significantly associated with EC risk in participants aged ≤55 years (codominant: OR = 0.63, p = 0.014; dominant: OR = 0.67, p = 0.024), whereas rs12429889 was significantly associated with EC risk in participants aged >55 years (codominant: OR = 1.98, p = 0.004; dominant: OR = 2.06, p = 0.002).
Conclusion: Our findings revealed a significant correlation between KLF12 rs12429889 and rs7329599 and EC risk, highlighting their potential as diagnostic biomarkers. [Figure: see text].
期刊介绍：
Expert Review of Molecular Diagnostics (ISSN 1473-7159) publishes expert reviews of the latest advancements in the field of molecular diagnostics including the detection and monitoring of the molecular causes of disease that are being translated into groundbreaking diagnostic and prognostic technologies to be used in the clinical diagnostic setting.
Each issue of Expert Review of Molecular Diagnostics contains leading reviews on current and emerging topics relating to molecular diagnostics, subject to a rigorous peer review process; editorials discussing contentious issues in the field; diagnostic profiles featuring independent, expert evaluations of diagnostic tests; meeting reports of recent molecular diagnostics conferences and key paper evaluations featuring assessments of significant, recently published articles from specialists in molecular diagnostic therapy.
Expert Review of Molecular Diagnostics provides the forum for reporting the critical advances being made in this ever-expanding field, as well as the major challenges ahead in their clinical implementation. The journal delivers this information in concise, at-a-glance article formats: invaluable to a time-constrained community.
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