Moolgavkar S H, Dewanji A, Luebeck G
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98104.
J Natl Cancer Inst. 1989 Mar 15;81(6):415-20. doi: 10.1093/jnci/81.6.415.
Attention has focused recently on the recessive oncogenesis model, according to which inactivation of both alleles of specific genes leads to cancer. A mathematical formulation of this model was fitted to the lung cancer incidence data from a cohort study among British doctors. The model described the data well. One implication is that age influences lung cancer risk among smokers independently of duration of smoking. A study of dose-response within the framework of the model shows that the data are consistent with various interpretations regarding the relative importance of daily level of smoking and duration of smoking in determining lung cancer risk.
最近,人们的注意力集中在隐性肿瘤发生模型上,根据该模型,特定基因的两个等位基因失活会导致癌症。这个模型的数学公式被应用于一项针对英国医生的队列研究中的肺癌发病率数据。该模型对数据的拟合效果很好。一个结论是,年龄独立于吸烟时长对吸烟者的肺癌风险产生影响。在该模型框架内进行的剂量反应研究表明,关于每日吸烟量和吸烟时长在确定肺癌风险方面的相对重要性,数据与各种解释都是一致的。