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Medical Science Monitor Basic Research


eISSN: 1643-3750

High Expression of N-Acetylgalactosaminyl­transferase 1 (GALNT1) Associated with Invasion, Metastasis, and Proliferation in Osteosarcoma

Liwen Zhang, Bin Lv, Xinya Shi, Guangyu Gao

Department of Oncology, The Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu, China (mainland)

Med Sci Monit 2020; 26:e927837

DOI: 10.12659/MSM.927837

Available online: 2020-10-06

Published: 2020-12-07


BACKGROUND: Osteosarcoma (OS) is very common worldwide, and the mechanisms underlying its development remain unclear. This study aims to identify key genes promoting the reproduction, invasion, and transfer of osteosarcoma cells.
MATERIAL AND METHODS: Gene expression profile data (GSE42352 and GSE42572) were downloaded from the Gene Expression Omnibus database. Differentially expressed genes were calculated using R software. Gene ontology and enriched pathway analysis of mRNAs were analyzed by using FunRich. Verification of the genes was conducted by using quantitative real-time polymerase chain reaction and western blot analyses to measure gene expression. Transwell and wound-healing assays were performed on osteosarcoma cells after knockdown to detect whether the genes enhanced the aggressiveness of osteosarcoma.
RESULTS: In total, 34 genes were selected after filtering. Kyoto Encyclopedia of Genes and Genomes enrichment analysis demonstrated that the genes were enriched in multiple tumor pathways. N-acetylgalactosaminyltransferase 1 (GALNT1) was identified for further study, and its expression was higher in osteosarcoma cells than in human osteoblasts. The invasion ability of cells was significantly decreased after gene knockdown.
CONCLUSIONS: Through the use of microarray and bioinformatics analysis, differentially expressed genes were selected and a complete gene network was constructed. Our findings provide new biomarkers for the treatment and prognosis of osteosarcoma. These biomarkers may contribute to the discovery of new therapeutic targets for clinical application.

Keywords: Genes, vif, Medical Oncology