Evidence map›Paper›PMID 36467881›Full record

ArticleBioMed research international2022

Identification of m7G Methylation-Related miRNA Signature Associated with Survival and Immune Microenvironment Regulation in Uterine Corpus Endometrial Carcinoma.

Rujun Chen, Ke Sun, Yue Hou, Jiayu Shen, Jina Chen, Fuyun Dong, Xiaoqin Wang, Lina Yang, Liwen Zhang

Abstract 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 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. Review
  2. RNA NCell communication and signaling : CCS · 2023
    Review
  3. 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

9 authors.

Rujun ChenDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.ORCID https://orcid.org/0000-0002-9451-6280
Ke SunDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Yue HouDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Jiayu ShenDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Jina ChenDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Fuyun DongDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Xiaoqin WangDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Lina YangDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.ORCID https://orcid.org/0000-0002-1742-9941
Liwen ZhangDepartment of Gynecology and Obstetrics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.ORCID https://orcid.org/0000-0002-6452-6568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: N Methods: RNA-seq data and clinical information of UCEC patients were derived from The Cancer Genome Atlas (TCGA) database. Using the TargetScan online database, we predicted miRNAs linked to the m7G-related genes and identified miRNAs which were significantly associated with the survival in UCEC patients and constructed a risk scoring model. The TCGA-UCEC cases were scored according to the risk model, and the high- and low-risk groups were divided by the median risk value. Gene enrichment analysis and immune cell infiltration and immune function analysis were performed using "clusterProfiler" and "GSVA" packages in R. Results: The survival prediction model consisted of 9 miRNAs, namely, hsa-miR-1301, hsa-miR-940, hsa-miR-592, hsa-miR-3170, hsa-miR-876, hsa-miR-215, hsa-miR-934, hsa-miR-3920, and hsa-miR-216b. Survival of UCEC patients in the high-risk group was worse than that in the low-risk group ( Conclusions: The survival prediction model constructed based on 9 m7G-related miRNAs had good predictive performance.

Indexed as

Carcinoma, EndometrioidMicroRNAsFemaleHumansMethylationProtein Processing, Post-TranslationalTumor MicroenvironmentMicroRNAsMIRN1301 microRNA, humanMIRN876 microRNA, human

Identifiers

PMID36467881
PMCPMC9713471

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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.