Evidence map›Paper›PMID 34184409›Full record

ArticleFEBS open bio2021

A methylation-driven gene panel predicts survival in patients with colon cancer.

Yaojun Peng, Jing Zhao, Fan Yin, Gaowa Sharen, Qiyan Wu, Qi Chen, Xiaoxuan Sun, Juan Yang, Huan Wang, Dong Zhang

Open access · goldAbstract read
In one paragraph

Article in FEBS open bio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Article
  6. Review
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.

Yaojun PengEmergency Department, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jing ZhaoDepartment of Scientific Research Administration, Chinese PLA General Hospital, Beijing, China.
Fan YinDepartment of Oncology, The Second Medical Center & National Clinical Research Center of Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Gaowa SharenDepartment of Pathology, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot City, China.
Qiyan WuDepartment of Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Qi ChenDepartment of Traditional Chinese Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiaoxuan SunNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, China.
Juan YangDepartment of Cardiothoracic Surgery, Tianjin Fourth Center Hospital, China.
Huan WangDepartment of Scientific Research Administration, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0002-1732-9203
Dong ZhangDepartment of Oncology, The Second Medical Center & National Clinical Research Center of Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNInner Mongolia Medical University · CNTianjin Fourth Hospital · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accumulation of various genetic and epigenetic changes in colonic epithelial cells has been identified as one of the fundamental processes that drive the initiation and progression of colorectal cancer (CRC). This study aimed to explore functional genes regulated by DNA methylation and their potential utilization as biomarkers for the prediction of CRC prognoses. Methylation-driven genes (MDGs) were explored by applying the integrative analysis tool (methylmix) to The Cancer Genome Atlas CRC project. The prognostic MDG panel was identified by combining the Cox regression model with the least absolute shrinkage and selection operator regularization. Gene set enrichment analysis was used to determine the pathways associated with the six-MDG panel. Cluster of differentiation 40 (CD40) expression and methylation in CRC samples were validated by using additional datasets from the Gene Expression Omnibus. Methylation-specific PCR and bisulfite sequencing were used to confirm DNA methylation in CRC cell lines. A prognostic MDG panel consisting of six gene members was identified: TMEM88, HOXB2, FGD1, TOGARAM1, ARHGDIB and CD40. The high-risk phenotype classified by the six-MDG panel was associated with cancer-related biological processes, including invasion and metastasis, angiogenesis and the tumor immune microenvironment. The prognostic value of the six-MDG panel was found to be independent of tumor node metastasis stage and, in combination with tumor node metastasis stage and age, could help improve survival prediction. In addition, the expression of CD40 was confirmed to be regulated by promoter region methylation in CRC samples and cell lines. The proposed six-MDG panel represents a promising signature for estimating the prognosis of patients with CRC.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticAdultAgedBiomarkers, TumorCD40 AntigensColonic NeoplasmsComputational BiologyEpigenesis, GeneticEpigenomicsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingBiomarkers, TumorCD40 Antigenscolon cancerDNA methylationepigeneticsintegrative analysesprognosisTCGA

Identifiers

PMID34184409
PMCPMC8409306
OpenAlexW3173547161

What OpenQuestion holds

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LicenceCC BY
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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.