Rhyu Mun-Gan, Oh Jung-Hwan, Kim Tae Ho, Kim Joon-Sung, Rhyu Young A, Hong Seung-Jin
Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Front Oncol. 2021 Mar 23;11:558040. doi: 10.3389/fonc.2021.558040. eCollection 2021.
Native stem cells can be periodically replaced during short and long epigenetic intervals. Cancer-prone new stem cells might bring about periodic (non-stochastic) carcinogenic events rather than stochastic events. We investigated the epigenetic non-stochastic carcinogenesis by analyzing regular fluctuations in lifelong cancer incidence.
Korean National Cancer Screening Program data were collected between 2009 and 2016. Non-linear and log-linear regression models were applied to comparatively evaluate non-stochastic and stochastic increases in cancer incidence. Prediction performances of regression models were measured by calculating the coefficient of determination, R.
The incidence of gastric and colorectal cancers fluctuated regularly during both short (8 years) and long (20 years) intervals in the non-linear regression model and increased stochastically in the log-linear regression model. In comparison between the 20-year interval fluctuation model and the stochastic model, R values were higher in the 20-year interval fluctuation model of men with gastric cancer (0.975 vs. 0.956), and in the stochastic model of men with colorectal cancer (0.862 vs. 0.877) and women with gastric cancer (0.837 vs. 0.890) and colorectal cancer (0.773 vs. 0.809). Men with gastric cancer showed a high R value (0.973) in the 8-year interval fluctuation model as well.
Lifelong incidence of gastrointestinal cancer tended to fluctuate during short and long intervals, especially in men with gastric cancer, suggesting the influence of an epigenetic schedule.
天然干细胞可在短期和长期表观遗传间隔期内定期更替。易患癌症的新干细胞可能引发周期性(非随机)致癌事件而非随机事件。我们通过分析终身癌症发病率的规律波动来研究表观遗传非随机致癌作用。
收集了2009年至2016年韩国国家癌症筛查项目的数据。应用非线性和对数线性回归模型来比较评估癌症发病率的非随机和随机增长情况。通过计算决定系数R来衡量回归模型的预测性能。
在非线性回归模型中,胃癌和结直肠癌的发病率在短期(8年)和长期(20年)间隔期内均呈现规律波动,而在对数线性回归模型中则呈随机增长。在20年间隔期波动模型与随机模型的比较中,胃癌男性的20年间隔期波动模型的R值更高(0.975对0.956),结直肠癌男性的随机模型(0.862对0.877)、胃癌女性的随机模型(0.837对0.890)以及结直肠癌女性的随机模型(0.773对0.809)亦是如此。胃癌男性在8年间隔期波动模型中也显示出较高的R值(0.973)。
胃肠道癌症的终身发病率在短期和长期间隔期内往往会波动,尤其是胃癌男性,这表明存在表观遗传时间表的影响。