Evidence map›Paper›PMID 33294438›Full record

ArticleBioMed research international2020

The Development of Three-DNA Methylation Signature as a Novel Prognostic Biomarker in Patients with Colorectal Cancer.

Shu Gong, Weijian Ye, Tiankai Liu, Shaofen Jian, Wenhua Liu

Abstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

5 authors.

Shu GongDepartment of Biological Sciences, Life Sciences College, Zhaoqing University, Zhaoqing 526061, China.
Weijian YeChengdu 23 Mofang Biotechnology Co., Ltd., Chengdu 610000, China.
Tiankai LiuDepartment of Biological Sciences, Life Sciences College, Zhaoqing University, Zhaoqing 526061, China.
Shaofen JianSchool of Life Science, Guizhou Normal University, Guizhou 550025, China.
Wenhua LiuDepartment of Biological Sciences, Life Sciences College, Zhaoqing University, Zhaoqing 526061, China.ORCID https://orcid.org/0000-0001-7665-7664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe prognosis of colorectal cancer (CRC) remains poor. This study aimed to develop and validate DNA methylation-based signature model to predict overall survival of CRC patients.

methodsThe methylation array data of CRC patients were retrieved from The Cancer Genome Atlas (TCGA) database. These patients were divided into training and validation datasets. A risk score model was established based on Kaplan-Meier and multivariate Cox regression analysis of training cohort and tested in validation cohort.

resultsAmong total 14,626 DNA methylation candidate markers, we found that a three-DNA methylation signature (NR1H2, SCRIB, and UACA) was significantly associated with overall survival of CRC patients. Subgroup analysis indicated that this signature could predict overall survival of CRC patients regardless of age and gender.

conclusionsWe established a prognostic model consisted of 3-DNA methylation sites, which could be used as potential biomarker to evaluate the prognosis of CRC patients.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBiomarkers, TumorCohort StudiesColorectal NeoplasmsDatabases, GeneticDNA MethylationFemaleHumansKaplan-Meier EstimateMalePrognosisReproducibility of ResultsRisk FactorsROC CurveBiomarkers, Tumor

Identifiers

PMID33294438
PMCPMC7714567

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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.