Evidence map›Paper›PMID 32351997›Full record

ArticleBioMed research international2020

The New Biomarker for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Based on Public Database Mining.

Hao Ding, Xiao-Xing Xiong, Guan-Lan Fan, Yue-Xiong Yi, Yu-Rou Chen, Jing-Tao Wang, Wei Zhang

Abstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. GATA1 knockdown enhances CD8Journal of molecular histology · 2026
    Article
  2. Review
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  9. Druggability of Targets for Diagnostic Radiopharmaceuticals.ACS pharmacology & translational science · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Cervical Carcinoma: Oncobiology and Biomarkers.International journal of molecular sciences · 2021
    Review
  19. Article
  20. 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

7 authors.

Hao DingDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0003-0855-5206
Xiao-Xing XiongCentral Laboratory, Renmin hospital, Wuhan University, 430006, China.ORCID https://orcid.org/0000-0001-6983-8547
Guan-Lan FanDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0003-3053-3978
Yue-Xiong YiDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0002-5623-117X
Yu-Rou ChenDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0003-0962-4082
Jing-Tao WangDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0001-7530-7785
Wei ZhangDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0002-0279-951X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reconstruct the ceRNA biological network of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) and to select an appropriate mRNA as a biomarker that could be used for CESC early diagnosis and prognosis evaluation. We downloaded CESC data from the TCGA public database, and statistical analysis was conducted with the R software to find out differential expressed genes encoding for lncRNAs, miRNAs, and mRNAs. The differentially expressed mRNAs (DEmRNAs) screened in the ceRNA network were analyzed for survival to find the mRNAs with significantly linked to the survival prognosis. These mRNAs were searched in the Pathological Atlas to identify the final appropriate mRNAs. Differential expression analysis revealed 773 lncRNAs, 94 miRNAs, and 2466 mRNAs. Survival analysis of DEmRNAs in the ceRNA network indicated that ADGRF4, ANXA8L1, HCAR3, IRF6, and PDE2A (

Indexed as

AdenocarcinomaBiomarkers, TumorCarcinoma, Squamous CellDatabases, Nucleic AcidNeoplasm ProteinsRNA, NeoplasmUterine Cervical NeoplasmsData MiningFemaleHumansBiomarkers, TumorNeoplasm ProteinsRNA, Neoplasm

Identifiers

PMID32351997
PMCPMC7174939

What OpenQuestion holds

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LicenceCC BY
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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.