Exploring the key genes and pathways of side population cells in human osteosarcoma using gene expression array analysis

Abstract

BackgroundHuman osteosarcoma (OS) is one of the most common primary bone sarcoma, because of early metastasis and few treatment strategies. It has been reported that the tumorigenicity and self-renewal capacity of side population (SP) cells play roles in human OS via regulating of target genes. This study aims to complement the differentially expressed genes (DEGs) that regulated between the SP cells and the non-SP cells from primary human OS and identify their functions and molecular pathways associated with OS.MethodsThe gene expression profile GSE63390 was downloaded, and bioinformatics analysis was made.ResultsOne hundred forty-one DEGs totally were identified. Among them, 72 DEGs (51.06%) were overexpressed, and the remaining 69 DEGs (48.94%) were underexpressed. Gene ontology (GO) and pathway enrichment analysis of target genes were performed. We furthermore identified some relevant core genes using gene–gene interaction network analysis such as EIF4E, FAU, HSPD1, IL-6, and KISS1, which may have a relationship with the development process of OS. We also discovered that EIF4E/mTOR signaling pathway could be a potential research target for therapy and tumorigenesis of OS.ConclusionThis analysis provides a comprehensive understanding of the roles of DEGs coming from SP cells in the development of OS. However, these predictions need further experimental validation in future studies.

Proteomic profiling and identification of significant markers from high-grade osteosarcoma after cryotherapy and irradiation

“…To understand the identified proteins involvement in various biological processes (BPs) and their molecular functions (MFs), along with the protein categories and cellular components (CCs) an international standardized gene function classification system of gene-ontology(GO) (http://www. geneontology.org/), and the DAVID (http://david.abcc.ncifcrf.gov/) (Database Annotation Visualization, and Integrated Discovery) database for functional analysis were performed [63][64][65][66] . For evaluate the protein-protein interactions among the identified proteins from OGS untreated Vs. treated we further analyzed our results using protein-protein interaction (PPI) networks with STRING (Search Tool for the Retrieval of Interacting Genes/ Proteins, Version 9.1) networks (website: http://string-db.org/) and specified high score of 0.09 along with the default parameters for the significant results.…”

Nanoparticle enhanced combination therapy for stem-like progenitors defined by single-cell transcriptomics in chemotherapy-resistant osteosarcoma

“…12 In osteosarcoma, previous studies showed that side population (SP) of cells, exhibiting increased sphere-forming capabilities and higher tumorigenicity, may be enriched in the cancer stem cells population. 13 Moreover, CD117 and Stro-1 double-positive osteosarcoma cells showed high invasiveness, drug resistance, and a potential for self-renewal and metastasis. 14 In addition to surface markers, there is an increasing interest in the key signaling pathways in osteosarcoma cancer stem cells for the development of new therapies that aim to eliminate these cells.…”