The aim of the present study was to identify the differentially expressed genes (DEGs) in esophageal squamous-cellcarcinoma (ESCC) and provide potential therapeutic targets. The microarray dataset GSE20347 was downloaded from the Gene Expression Omnibus (GEO) database, and included 17 tissue samples and 13 normal adjacent tissue samples from patients with ESCC. A total of 22,277 DEGs were identified. A heat map for the DEGs was constructed with the Morpheus online tool and the top 200 genes (100 upregulated and 100 downregulated) were selected for further bioinformatics analysis, including analysis of gene ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, protein-protein interaction networks and Spearman's correlation tests. The results of the GO analysis indicated that the upregulated DEGs were most significantly enriched in membrane-bounded vesicles in the cellular component (CC) category, but were not significantly enriched in any GO terms of the categories biological process (BP) or molecular function (MF); furthermore, the downregulated DEGs were most significantly enriched in regulation of DNA metabolic processes, nucleotide binding and chromosomes in the categories BP, MF and CC, respectively. The KEGG analysis indicated that the downregulated DEGs were enriched in the regulation of cell cycle pathways. The top 10 hub proteins in the protein-protein interaction network were cyclin-dependent kinase 4, budding uninhibited by benzimidazoles 1, cyclin B2, heat shock protein 90AA1, aurora kinase A, H2A histone family member Z, replication factor C subunit 4, and minichromosome maintenance complex component 2, -4 and -7. These proteins are mainly involved in regulating tumor progression. The genes in the four top modules were mainly implicated in regulating cell cycle pathways. Secreted Ly-6/uPAR-related protein (SLURP) was the hub gene, and SLURP and its interacting genes were most enriched in the chromosomal part in the CC category, organelle organization in the BP category and protein binding in the MF category, and were involved in pathways including DNA replication, cell cycle and P53 signaling. The expression of SLURP-1 in fifteen patients with esophageal carcinoma was detected using quantitative polymerase chain reaction analysis, and the results indicated that SLURP-1 expression was significantly decreased in the tumor samples relative to that in normal adjacent tissues. These results suggest that several hub proteins and the hub gene SLURP-1 may serve as potential therapeutic targets, and that gene dysfunction may be involved in the tumorigenesis of ESCC.

Facet joint osteoarthritis (FJOA) is a common degenerative joint disorder with high prevalence in the elderly. FJOA causes lower back pain and lower extremity pain, and thus severely impacts the quality of life of affected patients. Emerging studies have focused on the histomorphological and histomorphometric changes in FJOA. However, the dynamic genetic changes in FJOA have remained to be clearly determined. In the present study, previously obtained RNA deep sequencing data were subjected to an ingenuity pathway analysis (IPA) and canonical signaling pathways of differentially expressed genes (DEGs) in FJOA were studied. The top 25 enriched canonical signaling pathways were identified and canonical signaling pathways with high absolute values of z-scores, specifically leukocyte extravasation signaling, Tec kinase signaling and osteoarthritis pathway, were investigated in detail. DEGs were further categorized by disease, biological function and toxicity (tox) function. The genetic networks between DEGs as well as hub genes in these functional networks were also investigated. It was demonstrated that C-X-C motif chemokine ligand 8, elastase, neutrophil expressed, growth factor independent 1 transcriptional repressor, Spi-1 proto-oncogene, CCAAT enhancer binding protein epsilon, GATA binding protein 1, TAL bHLH transcription factor 1, erythroid differentiation factor, minichromosome maintenance complex component 4, BTG anti-proliferation factor 2, BRCA1 DNA repair-associated, cyclin D1, chromatin assembly factor 1 subunit A, triggering receptor expressed on myeloid cells 1 and tumor protein p63 were hub genes in the top 5 IPA networks (with a score >30). The present study provides insight into the pathological processes of FJOA from a genetic perspective and may thus benefit the clinical treatment of FJOA.