Evidence map›Paper›PMID 31192139›Full record

ArticleFrontiers in oncology2019

Integrated Bioinformatic Analysis of a Competing Endogenous RNA Network Reveals a Prognostic Signature in Endometrial Cancer.

Leilei Xia, Ye Wang, Qi Meng, Xiaoling Su, Jizi Shen, Jing Wang, Haiwei He, Biwei Wen, Caihong Zhang, Mingjuan Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Non-Coding RNAs as Prognostic Markers for Endometrial Cancer.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
  14. [A comprehensive analysis of potential prognostic biomarkers for MYCN-amplified neuroblastoma].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020
    Article
  15. Article
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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

10 authors at 2 institutions in 1 country.

Leilei XiaDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Ye WangDepartment of Cell Biology, Center for Stem Cell and Medicine, Second Military Medical University, Shanghai, China.
Qi MengDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Xiaoling SuDepartment of Obstetrics and Gynecology, No. 455 Hospital, Second Military Medical University, Shanghai, China.
Jizi ShenDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Jing WangDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Haiwei HeDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Biwei WenDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Caihong ZhangDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Mingjuan XuDepartment of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Second Military Medical University · CNChanghai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In endometrial carcinoma, the clinical outcome directly correlates with the TNM stage, but the lack of sufficient information prevents accurate prediction. The molecular mechanism underlying the competing endogenous RNA (ceRNA) hypothesis has not been investigated in endometrial cancer. Multi-bioinformatic analyses, including differentially expressed gene analysis, ceRNA network construction, Cox regression analysis, function enrichment analysis, and protein-protein network analysis, were performed on the sequence data acquired from The Cancer Genome Atlas (TCGA) data bank. A ceRNA network comprising 366 mRNAs, 27 microRNAs (miRNAs), and 66 long non-coding RNAs (lncRNAs) was established. Survival analysis performed with the univariate Cox regression analysis revealed nine lncRNAs with prognostic power in endometrial carcinoma. In multivariate Cox regression analysis, a signature comprising LINC00491, LINC00483, ADARB2-AS1, and C8orf49 showed remarkable prognostic power. Risk score and neoplasm status, but not TNM stage, were independent prognostic factors of endometrial carcinoma. A ceRNA network comprising differentially expressed mRNAs, miRNAs, and lncRNAs may reveal the molecular events involved in the progression of endometrial carcinoma. In addition, the signature with prognostic value may discriminate patients with increased risk for poor outcome, which may allow physicians to take accurate decisions.

Indexed as

ceRNA networkendometrial cancerlncRNAprognostic factorTCGA

Identifiers

PMID31192139
PMCPMC6549402
OpenAlexW2947101641

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.