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The global expression profiling in esophageal squamous cell carcinoma
- Source :
- Genomics. 109:241-250
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Esophageal squamous cell carcinoma (ESCC) is the dominant subtype of esophageal cancer worldwide. This study aimed to explore the aberrant global expression profiling and construct regulatory network in ESCC for understanding tumorigenesis of ESCC. The expression pattern of long non-coding RNA (lncRNA), microRNA (miRNA) and mRNA was measured by RNA-sequencing in ESCC. Differentially expressed lncRNAs/miRNAs/mRNAs (DELs/DEMs/DEMIs) were identified in ESCC. DEMIs-DEMs network was constructed; hsa-miR-424-5p and hsa-miR-450b-5p were the hub miRNAs in the network, which negatively regulated 19 and 17 DEMs. DEMs targeted by DEMIs were significantly enriched in MAPK signaling pathway, pathways in cancer and focal adhesion signaling pathway. The expression of candidate DEMs and DEMIs in ESCC were validated through quantitative real-time polymerase chain reaction and microarray expression profiling analyses, and the results were generally consistent with our bioinformatics analysis. Our results might provide useful information for exploring the tumorigenesis mechanism and potentially therapeutic targets in ESCC.
- Subjects :
- 0301 basic medicine
Esophageal Neoplasms
Microarray
Biology
medicine.disease_cause
03 medical and health sciences
0302 clinical medicine
microRNA
Genetics
medicine
Humans
RNA, Messenger
neoplasms
Messenger RNA
Sequence Analysis, RNA
Cancer
Genomics
Esophageal cancer
medicine.disease
Molecular biology
digestive system diseases
Gene Expression Regulation, Neoplastic
Gene expression profiling
MicroRNAs
Cell Transformation, Neoplastic
030104 developmental biology
030220 oncology & carcinogenesis
Carcinoma, Squamous Cell
Cancer research
RNA, Long Noncoding
Esophageal Squamous Cell Carcinoma
Signal transduction
Transcriptome
Carcinogenesis
Subjects
Details
- ISSN :
- 08887543
- Volume :
- 109
- Database :
- OpenAIRE
- Journal :
- Genomics
- Accession number :
- edsair.doi.dedup.....e093834d93a7886ede9405cf50414b46