Evidence map›Paper›PMID 30581678›Full record

ArticlePeerJ2018

Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network.

Ming-Jun Zheng, Rui Gou, Wen-Chao Zhang, Xin Nie, Jing Wang, Ling-Ling Gao, Juan-Juan Liu, Xiao Li, Bei Lin

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. 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
0.5field-weighted citation impact, top 40% 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, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  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

9 authors at 1 institution in 1 country.

Ming-Jun ZhengDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Rui GouDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Wen-Chao ZhangDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Xin NieDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Jing WangDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Ling-Ling GaoDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Juan-Juan LiuDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Xiao LiDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Bei LinDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to reveal the regulation network of lncRNAs-miRNAs-mRNA in endometrial carcinoma (EC), to investigate the underlying mechanisms of EC occurrence and progression, to screen prognostic biomarkers.

methodsRNA-seq and miRNA-seq data of endometrial carcinoma were downloaded from the TCGA database. Edge.R package was used to screen differentially expressed genes. A database was searched to determine differentially expressed lncRNA-miRNA and miRNA-mRNA pairs, to construct the topological network of ceRNA, and to elucidate the key RNAs that are for a prognosis of survival.

resultsWe screened out 2632 mRNAs, 1178 lncRNAs and 189 miRNAs that were differentially expressed. The constructed ceRNA network included 97 lncRNAs, 20 miRNAs and 73 mRNAs. Analyzing network genes for associations with prognosies revealed 169 prognosis-associated RNAs, including 92 lncRNAs, 16miRNAs and 61 mRNAs.

conclusionOur results reveal new potential mechanisms underlying the carcinogenesis and progression of endometrial carcinoma.

Indexed as

ceRNA networkEndometrial carcinomaPrognostic biomarker

Identifiers

PMID30581678
PMCPMC6292375
OpenAlexW2905525505

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.