Correlation between E-cadherin-regulated cell adhesion and human osteosarcoma MG-63 cell anoikis

Long non-coding RNA XIST predicts poor prognosis and promotes malignant phenotypes in osteosarcoma

Increasing evidence indicates that long non-coding RNA (lncRNA) is involved in a number of types of human cancer and functions as an oncogene or tumor suppressor. However, little is known about the role of lncRNA X-inactive specific transcript (XIST) in osteosarcoma. In the present study, the expression of lncRNA XIST was analyzed in 56 osteosarcoma tissues and their corresponding normal bone tissues by reverse transcription-quantitative polymerase chain reaction. Increased lncRNA XIST expression was observed in osteosarcoma tissues compared with the normal tissues and was positively associated with advanced Enneking stage. In addition, lncRNA XIST may be used as an independent risk factor for the overall survival of patients with osteosarcoma. Knockdown of lncRNA XIST inhibited cell proliferation, induced cell apoptosis and arrested the cell cycle. The inhibition of lncRNA XIST may also suppress cell migration and invasion in vitro. The present study suggested that lncRNA XIST acted as an oncogene in osteosarcoma, which may make it a novel therapeutic target for the treatment of osteosarcoma.

Identification and functional analysis of differentially expressed genes related to metastatic osteosarcoma

BACKGROUND

To explore the molecular mechanisms of metastatic osteosarcoma (OS) by using the microarray expression profiles of metastatic and non-metastatic OS samples.

MATERIALS AND METHODS

The gene expression profile GSE37552 was downloaded from Gene Expression Omnibus database, including 2 human metastatic OS cell line models and 2 two non-metastatic OS cell line models. The differentially expressed genes (DEGs) were identified by Multtest package in R language. In addition, functional enrichment analysis of the DEGs was performed by WebGestalt, and the protein-protein interaction (PPI) networks were constructed by Hitpredict, then the signal pathways of the genes involved in the networks were performed by Kyoto Encyclopaedia of Genes and Genomes (KEGG) automatic annotation server (KAAS).

RESULTS

A total of 237 genes were classified as DEGs in metastatic OS. The most significant up- and down-regulated genes were A2M (alpha-2-macroglobulin) and BCAN (brevican). The DEGs were significantly related to the response to hormone stimulus, and the PPI network of A2M contained IL1B (interleukin), LRP1 (low-density lipoprotein receptor-related protein 1) and PDGF (platelet-derived growth factor). Furthermore, the MAPK signaling pathway and focal adhesion were significantly enriched.

CONCLUSIONS

A2M and its interactive proteins, such as IL1B, LRP1 and PDGF may be candidate target molecules to monitor, diagnose and treat metastatic OS. The response to hormone stimulus, MAPK signaling pathway and focal adhesion may play important roles in metastatic OS.