Meza Rafael, Jeon Jihyoun, Moolgavkar Suresh H, Luebeck E Georg
Program in Biostatistics and Biomathematics and Program in Computational Biology, Fred Hutchinson Cancer Research Center 1100 Fairview Avenue North, Seattle, WA 98109-1024, USA.
Proc Natl Acad Sci U S A. 2008 Oct 21;105(42):16284-9. doi: 10.1073/pnas.0801151105. Epub 2008 Oct 20.
The observation that the age-specific incidence curve of many carcinomas is approximately linear on a double logarithmic plot has led to much speculation regarding the number and nature of the critical events involved in carcinogenesis. By a consideration of colorectal and pancreatic cancers in the Surveillance Epidemiology and End Results (SEER) registry we show that the log-log model provides a poor description of the data, and that a much better description is provided by a multistage model that predicts two basic phases in the age-specific incidence curves, a first exponential phase until the age of approximately 60 followed by a linear phase after that age. These two phases in the incidence curve reflect two phases in the process of carcinogenesis. Paradoxically, the early-exponential phase reflects events between the formation (initiation) of premalignant clones in a tissue and the clinical detection of a malignant tumor, whereas the linear phase reflects events leading to initiated cells that give rise to premalignant lesions because of abrogated growth/differentiation control. This model is consistent with Knudson's idea that renewal tissue, such as the colon, is converted into growing tissue before malignant transformation. The linear phase of the age-specific incidence curve represents this conversion, which is the result of recessive inactivation of a gatekeeper gene, such as the APC gene in the colon and the CDKN2A gene in the pancreas.
许多癌症的年龄特异性发病率曲线在双对数图上近似呈线性,这一观察结果引发了人们对致癌过程中关键事件的数量和性质的诸多猜测。通过对监测、流行病学和最终结果(SEER)登记处的结直肠癌和胰腺癌进行分析,我们发现对数-对数模型对数据的描述不佳,而一个多阶段模型能提供更好的描述,该模型预测年龄特异性发病率曲线存在两个基本阶段,第一个指数阶段直至约60岁,之后是线性阶段。发病率曲线中的这两个阶段反映了致癌过程中的两个阶段。矛盾的是,早期指数阶段反映的是组织中癌前克隆形成(启动)与恶性肿瘤临床检测之间的事件,而线性阶段反映的是导致启动细胞因生长/分化控制缺失而产生癌前病变的事件。该模型与克努森的观点一致,即像结肠这样的更新组织在恶性转化之前会转变为生长组织。年龄特异性发病率曲线的线性阶段代表了这种转变,它是一个守门基因隐性失活的结果,如结肠中的APC基因和胰腺中的CDKN2A基因。