Evidence map›Paper›PMID 42167026›Full record

ArticleLung cancer (Amsterdam, Netherlands)2026

A DNA Methylation-based algorithm Improves Lung Cancer risk prediction in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.

Kelsey Dawes, James A Mills, Richard M Hoffman, Ellyse M Froehlich, Kaitlyn deBlois, Jessica C Sieren, Craig Williams, Shannon Merkle, Jeffrey D Long, Steven Rh Beach and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kelsey DawesBehavioral Diagnostics, Coralville, IA 52241, USA.
James A MillsDepartment of Psychiatry, University of Iowa, Iowa City, IA, USA.
Richard M HoffmanDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Ellyse M FroehlichBehavioral Diagnostics, Coralville, IA 52241, USA.
Kaitlyn deBloisBehavioral Diagnostics, Coralville, IA 52241, USA.
Jessica C SierenDepartment of Radiology, University of Iowa, Iowa City, IA 52242, USA.
Craig WilliamsInformation Management Services, Inc. Calverton, MD 20705, USA.
Shannon MerkleInformation Management Services, Inc. Calverton, MD 20705, USA.
Jeffrey D LongDepartment of Psychiatry, University of Iowa, Iowa City, IA, USA; Department of Biostatistics, University of Iowa, Iowa City, IA 52242, USA.
Steven Rh BeachDepartment of Psychology, University of Georgia, Athens, GA 30602, USA.
Robert A PhilibertBehavioral Diagnostics, Coralville, IA 52241, USA; Department of Psychiatry, University of Iowa, Iowa City, IA, USA. Electronic address: robert-philibert@uiowa.edu.

Funding

An Improved Epigenetic Algorithm for Guiding Low Dose CT Lung Cancer ScreeningR44CA285136 · NCI · BD HOLDING, INC. · PI DAWES, KELSEY, PHILIBERT, ROBERT A · 2023 to 2024
$1.9M
NCI NIH HHS R44 CA285136
6 · The paper itself

Abstract

introductionMeasuring DNA methylation levels at cg05575921 can improve prediction of lung cancer (LC) risk in a screening eligible population. However, these findings were based on a limited number of largely White study participants, with a history of heavy smoking (>30 pack years [PY]) and the cg05575921 based-metric was not directly compared to existing standards for LC prediction.]

methodWe determined cg05575921 methylation levels in a nested case and control cohort featuring 1156 LC cases and 3039 controls, matched for age, sex, race and self-reported smoking status (current and former), who participated in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. We then constructed survival algorithms that tested whether adding cg05575921 methylation levels to a model consisting of PLCO

resultsModels adding cg05575921 methylation levels to PLCO

conclusionThe use of cg05575921 methylation levels can improve the accuracy of LC risk prediction and may be particularly useful identifying persons with a < 20 PY history who are at elevated risk for LC.These findings require validation in an external screening population.

Indexed as

AlgorithmsDNA MethylationLung NeoplasmsAgedCase-Control StudiesEarly Detection of CancerFemaleHumansMaleMiddle AgedOvarian NeoplasmsPrediction AlgorithmsRisk FactorsSmokingCg05575921Lung cancerRisk prediction

Identifiers

PMID42167026
PMCPMC13309997

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Registered trials

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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.