Evidence map›Paper›PMID 35774278›Full record

ArticleBioMed research international2022

Integrated Bioinformatic Analysis of DNA Methylation and Immune Infiltration in Endometrial Cancer.

Fangfang Dai, Jinglin Wu, Zhimin Deng, Hengxing Li, Wei Tan, Mengqin Yuan, Dongyong Yang, Shiyi Liu, Yajing Zheng, Min Hu and 2 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 2 institutions in 1 country.

Fangfang DaiDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.ORCID https://orcid.org/0000-0003-2577-9658
Jinglin WuDepartment of Gynecology, Minda Hospital of Hubei Minzu University, Enshi, China.
Zhimin DengDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Hengxing LiDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Wei TanDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Mengqin YuanDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Dongyong YangDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Shiyi LiuDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.ORCID https://orcid.org/0000-0001-6139-8380
Yajing ZhengDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Min HuDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Chaoyan YuanDepartment of Gynecology, Minda Hospital of Hubei Minzu University, Enshi, China.ORCID https://orcid.org/0000-0003-1172-7857
Yanxiang ChengDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.ORCID https://orcid.org/0000-0002-9218-5246
Wuhan University · CNMinda Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometrial cancer greatly threatens the health of female. Emerging evidences have demonstrated that DNA methylation and immune infiltration are involved in the occurrence and development of endometrial cancer. However, the mechanism and prognostic biomarkers of endometrial cancer are still unclear. In this study, we assess DNA methylation and immune infiltration via bioinformatic analysis. Methods: The latest RNA-Seq, DNA methylation data, and clinical data related to endometrial cancer were downloaded from the UCSC Xena dataset. The methylation-driven genes were selected, and then the risk score was obtained using "MethylMix" and "corrplot" R packages. The connection between methylated genes and the expression of screened driven genes were explored using "survminer" and "beeswarm" packages, respectively. Finally, the role of Results: In this study, 179 upregulated genes, and 311 downregulated genes were identified and found to be related to extracellular matrix organization, cell-cell junctions, and cell adhesion molecular binding. The methylation-driven gene Conclusions: Overall, our study was the first to reveal the mechanism of endometrial cancer by assessing DNA methylation and immune infiltration via integrated bioinformatic analysis. In addition, we found a pivotal prognostic biomarker for the disease. Our study provides potential targets for the diagnosis and prognosis of endometrial cancer in the future.

Indexed as

DNA MethylationEndometrial NeoplasmsComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansPrognosis

Identifiers

PMID35774278
PMCPMC9237709
OpenAlexW4283209115

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.