Evidence map›Paper›PMID 40611182›Full record

ArticleClinical epigenetics2025

Methylation-based smoking signatures in blood and tissue samples for the prediction of self-reported smoking status and mortality in patients with colorectal cancer.

Tanwei Yuan, Katrin E Tagscherer, Wilfried Roth, Melanie Bewerunge-Hudler, Alexander Brobeil, Matthias Kloor, Hendrik Bläker, Hermann Brenner, Michael Hoffmeister

Abstract read
In one paragraph

Article in Clinical epigenetics, 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.

Tanwei YuanDivision of Clinical Epidemiology and Aging Research, Molecular Pathological Epidemiology Group, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Katrin E TagschererInstitute of Pathology, University Medical Center Mainz, Mainz, Germany.
Wilfried RothInstitute of Pathology, University Medical Center Mainz, Mainz, Germany.
Melanie Bewerunge-HudlerMicroarray Core Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Alexander BrobeilInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Matthias KloorInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Hendrik BläkerInstitute of Pathology, University of Leipzig Medical Center, Leipzig, Germany.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, Molecular Pathological Epidemiology Group, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, Molecular Pathological Epidemiology Group, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany. m.hoffmeister@dkfz.de.

Funding

the German Federal Ministry of Education and Research 01KH0404, 01ER0814, 01ER0815, 01ER1505A, 01ER1505B, 01KD2104Athe German Research Council BR 1704/6-1, BR 1704/6-3, BR 1704/6-4, CH 117/1-1, HO 5117/2-1, HO 5117/2-2, HE 5998/2-1, HE 5998/2-2, KL 2354/3-1, KL 2354 3-2, RO 2270/8-1, RO 2270/8-2, BR 1704/17-1, BR 1704/17-2
6 · The paper itself

Abstract

backgroundSmoking is a well-established risk factor for colorectal cancer (CRC) development. However, the reliability of DNA methylation-based smoking signatures in predicting smoking status and their prognostic value in CRC remain unclear, particularly across different biological sample types.

resultsFive previously validated methylation-based smoking signatures were analyzed in 2237 CRC patients with blood-derived DNA and 2273 patients with tumor tissue-derived DNA. Blood-derived signatures showed strong correlations with self-reported smoking status, effectively differentiating current smokers from never smokers (all p < 0.0001), with excellent discriminative ability (median area under the receiver operating characteristic curve: 0.94). In contrast, tumor tissue-derived signatures exhibited much weaker associations with smoking status. Among non-metastatic CRC patients, blood-derived methylation signatures were significantly associated with increased risks of all-cause and non-CRC-related mortality, but not with CRC-specific mortality. Conversely, two tumor tissue-derived signatures demonstrated stronger associations with CRC-specific mortality compared to blood-derived signatures.

conclusionsBlood-derived methylation-based smoking signatures are robust indicators for smoking exposure and are associated with increased mortality risk among non-metastatic CRC patients. When applied to tumor tissue, signatures showed stronger associations with CRC-specific mortality.

Indexed as

Colorectal NeoplasmsDNA MethylationSmokingAgedFemaleHumansMaleMiddle AgedPrognosisRisk FactorsSelf ReportColorectal cancerDNA methylation biomarkersPrognosisSmoking

Identifiers

PMID40611182
PMCPMC12225191

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.