Evidence map›Paper›PMID 40402951›Full record

ArticlePloS one2025

Epigenetic assessments of alcohol consumption predict mortality in smokers at risk for lung cancer in the prostate, lung, colorectal and ovarian cancer screening trial.

Robert Philibert, Steven R H Beach, James A Mills, Kelsey Dawes, Richard M Hoffman, Jessica C Sieren, Ellyse M Froehlich, Kaitlyn M deBlois, Jeffrey D Long

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Robert PhilibertDepartment of Psychiatry, University of Iowa, Iowa City, Iowa, United States of America.ORCID https://orcid.org/0000-0001-7822-4977
Steven R H BeachCenter for Family Research/Department of Psychology, University of Georgia, Athens, Georgia, United States of America.
James A MillsDepartment of Psychiatry, University of Iowa, Iowa City, Iowa, United States of America.
Kelsey DawesBehavioral Diagnostics LLC, Coralville, Iowa, United States of America.
Richard M HoffmanDivision of General Medicine, Department of Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America.
Jessica C SierenDepartment of Radiology, University of Iowa, Iowa City, Iowa, United States of America.ORCID https://orcid.org/0000-0002-1109-7886
Ellyse M FroehlichDepartment of Psychiatry, University of Iowa, Iowa City, Iowa, United States of America.
Kaitlyn M deBloisDepartment of Psychiatry, University of Iowa, Iowa City, Iowa, United States of America.
Jeffrey D LongDepartment of Psychiatry, University of Iowa, Iowa City, Iowa, United States of America.

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

DNA methylation at cg05575921, an established biomarker for smoking predicts risk for lung cancer (LC). Although heavy alcohol consumption (HAC) frequently accompanies smoking, the relationship of HAC to overall mortality in those at risk for LC is not well known. Determining the contribution of HAC to mortality in those who smoke is important because HAC is also a major driver of mortality and is potentially treatable. To help answer this question, we examined the relationship of epigenetic biomarkers of smoking (cg05575921) and chronic heavy alcohol consumption (Alcohol T Score, ATS) in a cohort of 92 LC cases and 402 age, sex, ethnicity and smoking history matched controls from the Prostate, Lung, Colorectal and Ovarian (PLCO) Screening Trial to all-cause mortality using proportional hazards survival analysis. We found that ATS values significantly predicted risk for all-cause mortality in those smokers who developed (p < 0.03) and did not develop lung cancer (p < 0.0001). When mortality data were analyzed using median splits, those who did and did not incur lung cancer with ATS values <3.6 lived 5.6 years and 3.2 years more, respectfully, than those with ATS values >3.6. Interestingly, in this group of 494 smokers or former smokers, after adjusting for the occurrence of lung cancer, cg05575921 methylation did not predict mortality. In summary, we found that excessive alcohol consumption is a significant risk factor for all-cause mortality in those at risk for LC and suggest that lung cancer screening efforts to address problem drinking could increase survival.

Indexed as

Alcohol DrinkingEpigenesis, GeneticLung NeoplasmsSmokingAgedColorectal NeoplasmsDNA MethylationEarly Detection of CancerFemaleHumansMaleMiddle AgedOvarian NeoplasmsProstatic NeoplasmsRisk FactorsSmokers

Identifiers

PMID40402951
PMCPMC12097613

What OpenQuestion holds

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LicenceCC BY
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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.