Gene regulatory Network of Osteosarcoma

Background: Osteosarcoma is a common primary malignancy of bone in children and young adults. Sporadic mutations are the most important factor in causing osteosarcoma, Especially mutations in tumor suppressor genes. In this research, we ana-lyzed gene regulatory network of osteosarcoma.Materials and Methods: We used GSE69524 dataset (GPL11028 platform), which information is freely available in the NCBI database. Dataset was analyzed using limma package embedded in GEO2R tool of NCBI to determine significant-ly, differentially expressed genes (DEGs) with a P-value less than 0.005 in osteosarcoma cells against normal human osteo-blast. After that, selected the genes that have ± 0.6 of log2 Fold change. Next, we predict transcription factors of differentially expressed genes in Enricher site with ChEA2016. At last, we used Cytoscape 3.4.0 and Gephi 0.9.2 softwares for constructed and analyzed a network of differentially expressed transcription factors (DE-TF).Results: The result showed that there are 12 differentially ex-pressed transcription factors (DE-TF). In osteosarcoma cancer, 4 of transcription factors were down-regulated while 8 were up-regulated. Furthermore, among DE-TFs that have been, down-regulated HNF4A has the highest outdegree and CHD1 has the highest outdegree between up-regulated DE-TFs.Conclusion: The results and interpretation of this informa-tion and the molecular differences between normal human os-teoblast and osteosarcoma cells show us the path to find better treatment of this cancer, especially molecular therapies, with fewer complications.

Keywords:

Osteosarcoma , Differentially Expressed Transcrip-tion Factors , Osteoblast