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

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 sta...

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Veröffentlicht in:	BioMed research international 2020, Vol.2020 (2020), p.1-9, Article 5478574
Hauptverfasser:	Zhang, Wei, Chen, Yu-Rou, Yi, Yue-Xiong, Fan, Guan-Lan, Xiong, Xiaoxing, Ding, Hao, Wang, Jing-Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenocarcinoma Adenocarcinoma - diagnosis Adenocarcinoma - genetics Adenocarcinoma - metabolism Analysis Biomarkers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Biotechnology & Applied Microbiology Breast cancer Carcinoma, Squamous Cell - diagnosis Carcinoma, Squamous Cell - genetics Carcinoma, Squamous Cell - metabolism Cardiomyopathy Cell adhesion & migration Cervical cancer Cervix Cytokines Data Mining Databases, Nucleic Acid Diagnosis Female Gene expression Genomes Genomics Humans Hypotheses Life Sciences & Biomedicine Medical prognosis Medicine, Research & Experimental Messenger RNA MicroRNA MicroRNAs Mortality mRNA Neoplasm Proteins - genetics Neoplasm Proteins - metabolism Ontology Open access Pathology Prognosis Proteins Research & Experimental Medicine RNA, Neoplasm - genetics RNA, Neoplasm - metabolism Science & Technology Squamous cell carcinoma Statistical analysis Survival Survival analysis Uterine Cervical Neoplasms - diagnosis Uterine Cervical Neoplasms - genetics Uterine Cervical Neoplasms - metabolism
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Zusammenfassung:	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 (P
ISSN:	2314-6133 2314-6141
DOI:	10.1155/2020/5478574