Evidence map›Paper›PMID 40040586›Full record

ArticleJournal of the National Cancer Institute2025

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

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

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Increase of early-onset colorectal cancer: a cohort effect.Journal of the National Cancer Institute · 2026
    Article
  7. Article
  8. Review
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lukas OwensDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.ORCID 0000-0002-5149-5379
Allison FungDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Jonathan ShuhendlerDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.ORCID 0009-0006-4823-9581
Joseph GlickDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Marc D RyserDepartment of Population Health Sciences, Duke University, Durham, NC, United States.ORCID 0000-0002-4990-0849
Roman GulatiDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.ORCID 0000-0002-7592-6567
Ruth EtzioniDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.ORCID 0000-0002-9164-6370

Funding

The Early Detection Research Network: Data Management and Coordinating CenterU24CA086368 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RUTH D ETZIONI, Ziding Feng · 2010 to 2026
$75.7M
Modeling and analytics for cancer diagnostics: traversing the data-evidence divideR35CA274442 · NCI · FRED HUTCHINSON CANCER CENTER · PI RUTH D ETZIONI · 2022 to 2026
$4.9M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
NCI NIH HHS R35 CA274442NCI NIH HHS R35CA274442NCI NIH HHS R50 CA221836NCI NIH HHS R50CA221836NCI NIH HHS U24 CA086368Rosalie and Harold Rea Brown Endowed Chair
6 · The paper itself

Abstract

backgroundRecent 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.

methodsWe 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).

resultsTwo 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.

conclusionsA 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.

Indexed as

NeoplasmsAdultAgedAge FactorsAge of OnsetBirth CohortFemaleHumansIncidenceMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID40040586
PMCPMC12229467

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.