The New Biomarker for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Based on Public Database Mining.
Journal
BioMed research international
ISSN: 2314-6141
Titre abrégé: Biomed Res Int
Pays: United States
ID NLM: 101600173
Informations de publication
Date de publication:
2020
2020
Historique:
received:
25
10
2019
revised:
02
03
2020
accepted:
10
03
2020
entrez:
1
5
2020
pubmed:
1
5
2020
medline:
11
2
2021
Statut:
epublish
Résumé
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 (
Identifiants
pubmed: 32351997
doi: 10.1155/2020/5478574
pmc: PMC7174939
doi:
Substances chimiques
Biomarkers, Tumor
0
Neoplasm Proteins
0
RNA, Neoplasm
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5478574Informations de copyright
Copyright © 2020 Hao Ding et al.
Déclaration de conflit d'intérêts
The authors declare that there are no conflicts of interest.
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