Li Manwen, Song Limin, Yuan Junhua, Zhang Di, Zhang Caishun, Liu Yuan, Lin Qian, Wang Haidan, Su Kaizhen, Li Yanrun, Ma Zhengye, Liu Defeng, Dong Jing
Special Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Clinical Medicine Department, Medical College, Qingdao University, Qingdao, China.
Front Oncol. 2020 Oct 29;10:553332. doi: 10.3389/fonc.2020.553332. eCollection 2020.
Several studies have reported that hyperinsulinemia plays a part in the etiology of breast cancer. However, no consensus has been reached. Therefore, we conducted a meta-analysis to explore the role of insulin and C-peptide in breast cancer.
A systematic search in PubMed, Embase, and The Cochrane Library was conducted up to September, 2020. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were used to measure effect sizes. Publication bias was assessed using the Egger test. Stability of these results was evaluated using sensitivity analyses.
Fourteen articles including 27,084 cases and five articles including 2,513 cases were extracted for serum insulin levels and C-peptide levels. We found that C-peptide levels were positively associated with breast cancer with overall SMD = 0.37 (95% CI = 0.09-0.65, I = 89.1%). Subgroup analysis by control source illustrated a positive relationship between breast cancer and C-peptide levels in population-based control. Subgroup analysis by C-peptide level indicated a positive correlation between breast cancer and C-peptide levels no matter C-peptide levels in case group is ≤3 ng/ml or >3 ng/ml. Subgroup analysis by age showed that C-peptide level positively correlated to breast cancer in women between the ages of 50 and 60. However, we did not identify any relationship between breast cancer and insulin levels (SMD = 0.22, 95% CI = -0.06-0.50, I = 97.3%).
This meta-analysis demonstrated that C-peptide levels were positively related to breast cancer in women, and no relationship between insulin levels and breast cancer was found.
多项研究报告称高胰岛素血症在乳腺癌病因中起作用。然而,尚未达成共识。因此,我们进行了一项荟萃分析,以探讨胰岛素和C肽在乳腺癌中的作用。
截至2020年9月,在PubMed、Embase和Cochrane图书馆进行了系统检索。使用具有95%置信区间(CI)的标准化均值差(SMD)来衡量效应大小。使用Egger检验评估发表偏倚。使用敏感性分析评估这些结果的稳定性。
提取了14篇文章(共27084例)和5篇文章(共2513例)用于分析血清胰岛素水平和C肽水平。我们发现C肽水平与乳腺癌呈正相关,总体SMD = 0.37(95%CI = 0.09 - 0.65,I² = 89.1%)。按对照来源进行的亚组分析表明,在基于人群的对照中,乳腺癌与C肽水平之间存在正相关关系。按C肽水平进行的亚组分析表明,无论病例组C肽水平≤3 ng/ml还是>3 ng/ml,乳腺癌与C肽水平均呈正相关。按年龄进行的亚组分析表明,50至60岁女性的C肽水平与乳腺癌呈正相关。然而,我们未发现乳腺癌与胰岛素水平之间存在任何关系(SMD = 0.22,95%CI = -0.06 - 0.50,I² = 97.3%)。
这项荟萃分析表明,女性C肽水平与乳腺癌呈正相关,未发现胰岛素水平与乳腺癌之间存在关系。