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青年发病癌症发病率的趋势:建模视角

Trends in young-onset cancer incidence: a modeling perspective.

作者信息

Owens Lukas, Fung Allison, Shuhendler Jonathan, Glick Joseph, Ryser Marc D, Gulati Roman, Etzioni Ruth

机构信息

Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.

Department of Population Health Sciences, Duke University, Durham, NC, United States.

出版信息

J Natl Cancer Inst. 2025 Jul 1;117(7):1350-1359. doi: 10.1093/jnci/djaf050.

DOI:10.1093/jnci/djaf050
PMID:40040586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12229467/
Abstract

BACKGROUND

Recent increases in the diagnosis of certain cancers among younger individuals are generating intense concern. Many studies attribute the increase in the so-called "young-onset" cancer to an etiologic cause but questions have also arisen about the role of earlier diagnosis.

METHODS

We simulated incidence trends from a natural history model that includes healthy, preclinical, and clinical disease states, where the transition from the healthy to the preclinical state represents disease onset and the transition from the preclinical to the clinical state represents diagnosis. We superimposed birth-cohort effects on the rate of disease onset and period effects on the rate of disease diagnosis to identify those that match patterns of relative incidence by age group and 5-year calendar interval from 2000 to 2019 for 6 "young-onset" cancers (colon, rectum, female breast, stomach, pancreas, and kidney).

RESULTS

Two types of effects are broadly consistent with the observed increasing incidence trends in younger individuals: (1) a birth-cohort effect on disease onset that begins around 1970 and becomes more pronounced in later birth years or (2) a period effect consistent with progressive reduction over time in the duration of preclinical disease. An earlier, protective birth-cohort effect is consistent with recent declining trends in incidence in older individuals for colon, rectal, and stomach cancers.

CONCLUSIONS

A disease model provides clues about the possible drivers of cancer incidence trends, suggests constraints on the patterns of exposures that might be implicated etiologically, and indicates that the role of diagnostic changes warrants consideration alongside potential etiologic explanations.

摘要

背景

近期年轻个体中某些癌症的诊断率上升引发了强烈关注。许多研究将所谓“早发性”癌症的增加归因于病因,但对于早期诊断的作用也产生了疑问。

方法

我们从一个自然史模型模拟发病率趋势,该模型包括健康、临床前和临床疾病状态,从健康状态到临床前状态的转变代表疾病发病,从临床前状态到临床状态的转变代表诊断。我们将出生队列效应叠加在疾病发病率上,将时期效应叠加在疾病诊断率上,以确定与2000年至2019年6种“早发性”癌症(结肠癌、直肠癌、女性乳腺癌、胃癌、胰腺癌和肾癌)按年龄组和5年日历间隔划分的相对发病率模式相匹配的效应。

结果

两类效应与在年轻个体中观察到的发病率上升趋势大致一致:(1)始于1970年左右、在较晚出生年份更为明显的疾病发病出生队列效应,或(2)与临床前疾病持续时间随时间逐渐缩短一致的时期效应。较早的、具有保护作用的出生队列效应与结肠癌、直肠癌和胃癌在老年个体中近期发病率下降趋势一致。

结论

一个疾病模型为癌症发病率趋势的可能驱动因素提供线索,提示对可能涉及病因的暴露模式的限制,并表明在考虑潜在病因解释的同时,诊断变化的作用值得关注。