Kachhawa Poonam, Kachhawa Kamal, Agrawal Divya, Sinha Vivek, Sarkar Purnima Dey, Kumar Sanjay
Department of Biochemistry, Saraswathi Institute of Medical Sciences, Hapur, Uttar Pradesh, India.
Department of Biochemistry, Mahaveer Institute of Medical Sciences and Research, Bhopal, Madhya Pradesh, India.
J Midlife Health. 2018 Apr-Jun;9(2):85-91. doi: 10.4103/jmh.JMH_77_17.
This study aims to determine the association of dyslipidemia and increased insulin resistance (IR) with increased breast cancer (BC) risk.
The study group comprised 110 premenopausal and 143 postmenopausal, untreated female BC patients in the age range of 29-72 years. Control group consisted of 117 premenopausal and 141 postmenopausal healthy females in the age range of 23-75. Approximately 8-ml blood samples were drawn to measure various biochemical parameters. Serum glucose, total cholesterol, triglyceride (TG), and high-density lipoprotein-cholesterol were measured. Very low-density lipoprotein-cholesterol (VLDL-C) and LDL-C were calculated using Friedewald's formula. Serum insulin and serum CA 15-3 were estimated by immune enzymatic assay. IR was assessed using homeostasis model assessment IR index (HOMA-IR).
Clinical variables in the case and control groups were compared using the unpaired Student's -test. The crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by binary logistic regression analysis. Pearson's correlation analysis was used to determine the association between CA 15-3 and variables of interest. Total cholesterol, TG, LDL, VLDL, serum glucose, serum insulin, HOMA-IR, and serum CA 15-3 were significantly higher ( < 0.001) in BC patients compared to those in controls. Significant adjusted ORs with 95% CI were found to be fasting glucose, total cholesterol, and TGs. We also found a significant positive correlation between total cholesterol, TG, LDL, serum glucose, serum insulin, HOMA-IR, and serum CA 15-3.
This study confirms the association between dyslipidemia, IR, and increased BC risk.
本研究旨在确定血脂异常和胰岛素抵抗（IR）增加与乳腺癌（BC）风险增加之间的关联。
研究组包括110名年龄在29 - 72岁之间的绝经前和143名绝经后未经治疗的女性BC患者。对照组由117名年龄在23 - 75岁之间的绝经前和141名绝经后健康女性组成。抽取约8毫升血液样本以测量各种生化参数。测量血清葡萄糖、总胆固醇、甘油三酯（TG）和高密度脂蛋白胆固醇。极低密度脂蛋白胆固醇（VLDL-C）和低密度脂蛋白胆固醇（LDL-C）使用Friedewald公式计算。血清胰岛素和血清CA 15 - 3通过免疫酶测定法进行估算。使用稳态模型评估IR指数（HOMA-IR）评估IR。
病例组和对照组的临床变量使用非配对学生t检验进行比较。通过二元逻辑回归分析计算粗比值比（OR）和调整后的OR以及95%置信区间（CI）。使用Pearson相关分析确定CA 15 - 3与感兴趣变量之间的关联。与对照组相比，BC患者的总胆固醇、TG、LDL、VLDL、血清葡萄糖、血清胰岛素、HOMA-IR和血清CA 15 - 3显著更高（<0.001）。发现空腹血糖、总胆固醇和TG的调整后OR及95%CI具有统计学意义。我们还发现总胆固醇、TG、LDL、血清葡萄糖、血清胰岛素、HOMA-IR和血清CA 15 - 3之间存在显著正相关。
本研究证实了血脂异常、IR与BC风险增加之间的关联。
