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

IF 9.9 1区 医学 Q1 ONCOLOGY
Lukas Owens, Allison Fung, Jonathan Shuhendler, Joseph Glick, Marc D Ryser, Roman Gulati, Ruth Etzioni
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引用次数: 0

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.

年轻发病癌症发病率趋势:建模视角。
背景:最近某些癌症在年轻人中诊断的增加引起了强烈关注。许多研究将所谓的“年轻发病”癌症的增加归因于病因,但对早期诊断的作用也提出了质疑。方法:我们从包括健康、临床前和临床疾病状态的自然历史模型中模拟发病率趋势,其中从健康到临床前状态的转变代表疾病发作,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到疾病发病率上,将时期效应叠加到疾病诊断率上,以确定6种“年轻发病”癌症(结肠癌、直肠癌、女性乳腺癌、胃癌、胰腺癌、肾癌)按年龄组和2000-2019年5年日历间隔的相对发病率模式是否匹配。结果:两种类型的效应与观察到的年轻人发病率增加趋势大致一致:(1)出生队列效应对疾病发病的影响,从1970年左右开始,在以后的出生年份变得更加明显;(2)时期效应与临床前疾病持续时间的逐渐减少一致。早期的保护性出生队列效应与最近老年人结肠癌、直肠癌和胃癌发病率下降的趋势相一致。讨论:疾病模型提供了关于癌症发病率趋势的可能驱动因素的线索,提示了可能涉及病因学的暴露模式的限制,并表明诊断变化的作用值得与潜在的病因学解释一起考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
17.00
自引率
2.90%
发文量
203
审稿时长
4-8 weeks
期刊介绍: The Journal of the National Cancer Institute is a reputable publication that undergoes a peer-review process. It is available in both print (ISSN: 0027-8874) and online (ISSN: 1460-2105) formats, with 12 issues released annually. The journal's primary aim is to disseminate innovative and important discoveries in the field of cancer research, with specific emphasis on clinical, epidemiologic, behavioral, and health outcomes studies. Authors are encouraged to submit reviews, minireviews, and commentaries. The journal ensures that submitted manuscripts undergo a rigorous and expedited review to publish scientifically and medically significant findings in a timely manner.
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