ABSTRACT
BACKGROUND: The risk of malignant transformation of enchondromas (EC) toward central chondrosarcoma is increased up to 35%, while the exact etiology of EC is unknown. The purpose of this research was to authenticate gene signatures during EC and reveal their potential mechanisms in occurrence and development of EC. METHODS: The gene expression profiles was acquired from Gene Expression Omnibus database (no. GSE22855). The gene ontology (GO), protein-protein interaction (PPI) network and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were utilized to identify differentially expressed genes (DEGs). RESULTS: Finally, 242 DEGs were appraisal, containing 200 overregulated genes and 42 downregulated genes. The outcomes of GO analysis indicated that upregulated DEGs were mainly enriched in several biological processes containing response to hypoxia, calcium ion, and negative regulation extrinsic apoptotic signaling pathway. Furthermore, the upregulated DEGs were enriched in extracellular matrix (ECM)-receptor interaction, protein processing in endoplasmic reticulum and ribosome, which was analyzed by KEGG pathway. From the PPI network, the top 10 hub genes were identified, which were related to significant pathways containing ribosome, protein processing in endoplasmic reticulum, and ECM-receptor interaction. CONCLUSION: In conclusion, the present study may be helpful for understanding the diagnostic biomarkers of EC.
ABSTRACT
Postmenopausal osteoporosis (PO) imposes great burden on individuals and society. This study predicted hub genes and gene functions for PO by an integration of the convergent evidence (CE) method, rank product (RP) algorithm and the combing of P-values. Using the gene expression data, genes were ranked by the CE method, RP algorithm and combing P-values, respectively. Subsequently, the top 100 genes were selected from each of the three gene lists, and then the common genes for two or three methods were denoted as informative genes of PO. A mutual information network (MIN) was constructed for the informative genes utilizing the context likelihood of relatedness algorithm. Topological centrality (degree) analysis was conducted on the MIN to investigate hub genes. Then we performed Gene Ontology (GO) enrichment analysis dependent upon the Biological Networks Gene Ontology tool (BiNGO) plugin of Cytoscape to investigate hub gene functions for PO patients. Consequently, a total of 82 informative genes were obtained by integrating the results of the three methods. There were 82 nodes and 1,741 edges in the MIN, of which 8 hub genes were identified, such as PFN1, EEF2 and S100A9. The result of GO enrichment analysis showed that 49 GO terms with P<0.001 were detected, especially the top 5 gene sets were defined as hub gene functions of PO, for instance, translational elongation, translation and cellular macromolecule biosynthetic process. In conclusion, we have predicted 8 hub genes and 5 hub gene functions associated with PO patients. The findings might help understand the molecular mechanism underlying PO.
ABSTRACT
OBJECTIVE: To establish criteria for AIS of Lenke5 and Lenke6 by an anterior only procedure of the lower curve fusion. METHODS: A retrospective study was conducted between March 1999 and May 2004 to investigate 52 AIS patients of Lenke5 and Lenke6. All the patients were observed 24 years (34 months on average). Many parameters were evaluated. At final assessment, two groups emerged: Group A had satisfactory results (the thoracic curve was reduced) and Group B had just the opposite. RESULTS: Preoperative thoracic curve in group A averaged 33 degrees and 18 degrees after surgery. The lumbar curve averaged 49 degrees before surgery and 21 degrees after surgery. In group B (n = 6), the average thoracic curve was 38 degrees before surgery and 45 degrees after surgery, whereas the lumbar curve averaged 46 degrees before surgery and 25 degrees after surgery. Two of these patients underwent posterior thoracic instrumentation and fusion because of the unreasonable balance. CONCLUSIONS: A successful surgical outcome was dependent on both the flexibility of the thoracic curve and the patients' maturity. The thoracolumbar/lumbar-thoracic (TL/L:T) Cobb ratio in combination with the flexibility of the thoracic curve were the best predictors among the structural indexes.
