Evidence map›Paper›PMID 31169496›Full record

ArticleeLife2019

A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma.

Wenna Guo, Liucun Zhu, Rui Zhu, Qihan Chen, Qiang Wang, Jian-Qun Chen

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  11. Journal for immunotherapy of cancer · 2025
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  17. Computational Analysis of High-Dimensional DNA Methylation Data for Cancer Prognosis.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Review
  18. Article
  19. Article
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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

6 authors.

Wenna Guo *State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Liucun Zhu *School of Life Sciences, Shanghai University, Shanghai, China.
Rui ZhuSchool of Life Sciences, Shanghai University, Shanghai, China.
Qihan ChenState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Qiang WangState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.ORCID 0000-0003-2907-9851
Jian-Qun ChenState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.

Funding

Nanjing University Graduated Research and Innovation Fund (No. 2017CL06)National Natural Science Foundation of China 31471200National Natural Science Foundation of China 31501045National Natural Science Foundation of China 31741073
6 · The paper itself

Abstract

Cutaneous melanoma (CM) is a life-threatening form of skin cancer. Prognostic biomarkers can reliably stratify patients at initial melanoma diagnosis according to risk, and may inform clinical decisions. Here, we performed a retrospective, cohort-based study analyzing genome-wide DNA methylation of 461 patients with CM from the TCGA database. Cox regression analyses were conducted to establish a four-DNA methylation signature that was significantly associated with the overall survival (OS) of patients with CM, and that was validated in an independent cohort. Corresponding Kaplan-Meier analysis displayed a distinct separation in OS. The ROC analysis confirmed that the predictive signature performed well. Notably, this signature exhibited much higher predictive accuracy in comparison with known biomarkers. This signature was significantly correlated with immune checkpoint blockade (ICB) immunotherapy-related signatures, and may have potential as a guide for measures of responsiveness to ICB immunotherapy.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorCutaneous Malignant MelanomaDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMelanomaMiddle AgedPrognosisProportional Hazards ModelsBiomarkers, Tumorcancer biologycutaneous melanomaDNA methylationhumanimmune-checkpoint blockadeprognostic biomarkerrisk stratification

Identifiers

PMID31169496
PMCPMC6553943

What OpenQuestion holds

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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.