Wang Zhaoxia, Zhang Zhenxing, Guo Yanling, Shui Huifeng, Liu Guoqi, Jin Tianbo, Wang Huijie
Oncology Department of Integrative Medicine, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China.
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, China.
J Breast Cancer. 2018 Dec;21(4):391-398. doi: 10.4048/jbc.2018.21.e52. Epub 2018 Nov 23.
The aim of this study was to investigate the association of telomere length with breast cancer risk. We simultaneously explored the association between telomerase reverse transcriptase gene polymorphisms and telomere length.
We used real-time quantitative polymerase chain reaction to measure relative telomere length (RTL) in genomic DNA extracted from peripheral blood from 183 breast cancer cases and 191 healthy controls. Genotyping was performed using the Sequenom MassARRAY platform.
Our results show that breast cancer patients had significantly shorter RTLs than control subjects (<0.05). When the RTLs were categorized into tertiles, we found that the lowest RTL was significantly associated with increased breast cancer risk compared with the highest RTL (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.40-3.90; =0.001). Subgroup analyses indicated that risk of breast cancer was also significantly increased in the lowest RTL compared with the highest RTL in age >40 years (OR, 2.41; 95% CI, 1.31-4.43; =0.005), body mass index ≤24 kg/m (OR, 2.81; 95% CI, 1.55-5.10; =0.001), and postmenopausal women (OR, 3.94; 95% CI, 1.63-9.51; =0.002), respectively. In addition, individuals with the AA genotype of rs2853677 have longer telomeres than those of breast cancer patients with the AG genotype (=0.011).
Our results suggest that shorter RTL was associated with an increased risk of breast cancer. An association was found between the AA genotype of rs2853677 and longer RTLs in the case group. Functional studies are warranted to validate this association and further investigate our findings.
本研究旨在调查端粒长度与乳腺癌风险之间的关联。我们同时探讨了端粒酶逆转录酶基因多态性与端粒长度之间的关联。
我们使用实时定量聚合酶链反应来测量从183例乳腺癌病例和191例健康对照者的外周血中提取的基因组DNA中的相对端粒长度(RTL)。使用Sequenom MassARRAY平台进行基因分型。
我们的结果显示,乳腺癌患者的RTL明显短于对照受试者(<0.05)。当将RTL分为三分位数时,我们发现与最高RTL相比,最低RTL与乳腺癌风险增加显著相关(优势比[OR],2.33;95%置信区间[CI],1.40 - 3.90;P = 0.001)。亚组分析表明,在年龄>40岁(OR,2.41;95% CI,1.31 - 4.43;P = 0.005)、体重指数≤24 kg/m²(OR,2.81;95% CI,1.55 - 5.10;P = 0.001)以及绝经后女性(OR,3.94;95% CI,1.63 - 9.51;P = 0.002)中,与最高RTL相比,最低RTL的乳腺癌风险也显著增加。此外,rs2853677的AA基因型个体的端粒比AG基因型的乳腺癌患者更长(P = 0.011)。
我们的结果表明,较短的RTL与乳腺癌风险增加相关。在病例组中发现rs2853677的AA基因型与较长的RTL之间存在关联。有必要进行功能研究来验证这种关联并进一步研究我们的发现。