Evidence map›Paper›PMID 36581816›Full record

ArticleBMC cancer2022

m

Fang Fang, Peipei Wang, Haoyu Huang, Mingquan Ye, Xiaocen Liu, Qingqing Li

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Epigenetic regulation in gynecological cancers: a paradigm shift in immunotherapy strategies.Journal of experimental & clinical cancer research : CR · 2025
    Review
  3. Prognostic Role of L1CAM in Endometrial Cancer.Diagnostics (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Targeting Bromodomain-Containing Protein 9 in Human Uterine Fibroid Cells.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Article
  6. Article
  7. Review
  8. The role of peroxidasin in solid cancer progression.Biochemical Society transactions · 2023
    Review
  9. Article
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 at 2 institutions in 1 country.

Fang Fang *Department of Laboratory Medicine, Yijishan Hospital, the First Affiliated Hospital of Wannan Medical College, Wuhu, 241001, China.
Peipei Wang *School of Medical Information, Wannan Medical College, Wuhu, 241001, China.
Haoyu Huang *Department of Laboratory Medicine, Yijishan Hospital, the First Affiliated Hospital of Wannan Medical College, Wuhu, 241001, China.
Mingquan YeSchool of Medical Information, Wannan Medical College, Wuhu, 241001, China.
Xiaocen LiuDepartment of Nuclear medicine, Yijishan Hospital, the First Affiliated Hospital of Wannan Medical College, Wuhu, 241001, China. yjslxc0719@163.com.
Qingqing LiSchool of Medical Information, Wannan Medical College, Wuhu, 241001, China. liqingqing@wnmc.edu.cn.
First Affiliated Hospital of Wannan Medical College · CNWannan Medical College · CN

Funding

National Natural Science Foundation of China 81870017the Key Research and Development Plan of Anhui Province 2022a05020011the Key University Science Research Project of Anhui Province KJ2021A0848
6 · The paper itself

Abstract

backgroundUterine corpus endometrial carcinoma (UCEC) is the most common female pelvic malignancy worldwide. N6-methyladenosine (m

methodsWe used The Cancer Genome Atlas (TCGA) to provide a gene signature that could improve the prognostic evaluation of UCEC patients according to the distinct genetic trait of m

resultsTime-dependent receiver operating characteristic (ROC) curves revealed that the proposed gene signature could predict the outcome of UCEC patients accurately. We found that CDKN2A mainly acted from the perspective of tumor cells, while COL4A4, PXDN, TIGIT, CHODL, LMO3, KCNJ12, L1CAM, and EPHB1 might play a role in UCEC from an immunological point of view.

conclusionsFrom an epigenetics perspective, the m6A RNA methylation regulator-based gene signature can predict the prognosis of UCEC patients and immune therapeutic efficacy.

Indexed as

Carcinoma, EndometrioidEndometrial NeoplasmsFemaleGenes, RegulatorHumansMethylationPrognosisRNARNAGene signaturem6A RNA methlationPrognostic predictionUCEC

Identifiers

PMID36581816
PMCPMC9801604
OpenAlexW4313274884

What OpenQuestion holds

Textmetadata
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.