Evidence map›Paper›PMID 25815725›Full record

ArticlePloS one2015

DNA methylation combinations in adjacent normal colon tissue predict cancer recurrence: evidence from a clinical cohort study.

Jen Chun Kuan, Chang Chieh Wu, Chien An Sun, Chi Ming Chu, Fu Gong Lin, Chih Hsiung Hsu, Po-Chieh Kan, Shih-Chieh Lin, Tsan Yang, Yu-Ching Chou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% of its field
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. IncreasedMolecular & cellular oncology · 2025
    Article
  5. Article
  6. World journal of gastroenterology · 2021
    Article
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  8. Review
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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

10 authors at 4 institutions in 1 country.

Jen Chun KuanGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Chang Chieh WuDepartment of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Chien An SunDepartment of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan (R.O.C.).
Chi Ming ChuSchool of Public Health, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Fu Gong LinSchool of Public Health, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Chih Hsiung HsuGraduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Po-Chieh KanGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Shih-Chieh LinGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Tsan YangDepartment of Health Business Administration, Meiho University, Pingtung, Taiwan.
Yu-Ching ChouGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan (R.O.C.); School of Public Health, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
National Defense Medical Center · TWFu Jen Catholic University · TWMeiho University · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has suggested the requirement for further stratification of patients in the same tumor stage according to molecular factors. We evaluate the combination of cancer stage and DNA methylation status as an indicator of the risk of recurrence and mortality among patients with colorectal cancer (CRC). A cohort study of 215 patients with CRC (mean age 64.32 years; 50.5% of men) from Tri-Service General Hospital in Taiwan examined the association between cancer stage and risk of CRC recurrence and mortality. A Cox proportional hazard model was used to analyze patient methylation status and clinical information at study entry, and their associations with CRC recurrence and mortality during follow-up. The advanced stage patients with p16, hMLH1, and MGMT methylation were associated with higher risk of CRC recurrence compared with the local stage patients with unmethylation status in tumor tissues, with adjusted hazard ratios (HRs) (95% confidence interval [CI]) of 9.64 (2.92-31.81), 8.29 (3.40-20.22), and 11.83 (3.49-40.12), respectively. When analyzing normal tissues, we observed similar risk of CRC recurrence with adjusted HRs (95% CI) of 10.85 (4.06-28.96), 9.04 (3.79-21.54), and 12.61 (4.90-32.44), respectively. For combined analyses, the risk of recurrence in the patients in advanced stage with DNA methylation in both normal and tumor tissues, compared with local stage with unmethylation, was increased with adjusted HR (95% CI) of 9.37 (3.36-26.09). In the advanced stage patients, methylation status and tissue subtype were associated with increased risk of 5-year cumulative CRC recurrence (p < 0.001). This study demonstrates that clustering DNA methylation status according to cancer stage and tissue subtype is critical for the assessment of risk of recurrence in CRC patients and also indicated an underlying mechanism.

Indexed as

Biomarkers, TumorColonColonic NeoplasmsDNA MethylationNeoplasm Recurrence, LocalAdaptor Proteins, Signal TransducingAgedCase-Control StudiesDNA Modification MethylasesDNA Repair EnzymesFemaleGenes, p16HumansMaleMiddle AgedMutL Protein Homolog 1Adaptor Proteins, Signal TransducingBiomarkers, TumorDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanMLH1 protein, humanMutL Protein Homolog 1Nuclear ProteinsTumor Suppressor Proteins

Identifiers

PMID25815725
PMCPMC4376718
OpenAlexW2031882924

What OpenQuestion holds

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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.