Jun Wang1, Mingzhi Gong1, Zhenggang Xiong1, Yangyang Zhao1, Deguo Xing2. 1. Department of Orthopedics and Trauma, The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan, 250033, China. 2. Department of Orthopedics and Trauma, The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan, 250033, China. xdgxdgtgy@qq.com.
Abstract
BACKGROUND: This study hoped to explore the potential biomarkers and associated metabolites during osteosarcoma (OS) progression based on bioinformatics integrated analysis. METHODS: Gene expression profiles of GSE28424, including 19 human OS cell lines (OS group) and 4 human normal long bone tissue samples (control group), were downloaded. The differentially expressed genes (DEGs) in OS vs. control were investigated. The enrichment investigation was performed based on DEGs, followed by protein-protein interaction network analysis. Then, the feature genes associated with OS were explored, followed by survival analysis to reveal prognostic genes. The qRT-PCR assay was performed to test the expression of these genes. Finally, the OS-associated metabolites and disease-metabolic network were further investigated. RESULTS: Totally, 357 DEGs were revealed between the OS vs. control groups. These DEGs, such as CXCL12, were mainly involved in functions like leukocyte migration. Then, totally, 38 feature genes were explored, of which 8 genes showed significant associations with the survival of patients. High expression of CXCL12, CEBPA, SPARCL1, CAT, TUBA1A, and ALDH1A1 was associated with longer survival time, while high expression of CFLAR and STC2 was associated with poor survival. Finally, a disease-metabolic network was constructed with 25 nodes including two disease-associated metabolites cyclophosphamide and bisphenol A (BPA). BPA showed interactions with multiple prognosis-related genes, such as CXCL12 and STC2. CONCLUSION: We identified 8 prognosis-related genes in OS. CXCL12 might participate in OS progression via leukocyte migration function. BPA might be an important metabolite interacting with multiple prognosis-related genes.
BACKGROUND: This study hoped to explore the potential biomarkers and associated metabolites during osteosarcoma (OS) progression based on bioinformatics integrated analysis. METHODS: Gene expression profiles of GSE28424, including 19 human OS cell lines (OS group) and 4 human normal long bone tissue samples (control group), were downloaded. The differentially expressed genes (DEGs) in OS vs. control were investigated. The enrichment investigation was performed based on DEGs, followed by protein-protein interaction network analysis. Then, the feature genes associated with OS were explored, followed by survival analysis to reveal prognostic genes. The qRT-PCR assay was performed to test the expression of these genes. Finally, the OS-associated metabolites and disease-metabolic network were further investigated. RESULTS: Totally, 357 DEGs were revealed between the OS vs. control groups. These DEGs, such as CXCL12, were mainly involved in functions like leukocyte migration. Then, totally, 38 feature genes were explored, of which 8 genes showed significant associations with the survival of patients. High expression of CXCL12, CEBPA, SPARCL1, CAT, TUBA1A, and ALDH1A1 was associated with longer survival time, while high expression of CFLAR and STC2 was associated with poor survival. Finally, a disease-metabolic network was constructed with 25 nodes including two disease-associated metabolites cyclophosphamide and bisphenol A (BPA). BPA showed interactions with multiple prognosis-related genes, such as CXCL12 and STC2. CONCLUSION: We identified 8 prognosis-related genes in OS. CXCL12 might participate in OS progression via leukocyte migration function. BPA might be an important metabolite interacting with multiple prognosis-related genes.
Authors: Douglas J Harrison; David S Geller; Jonathan D Gill; Valerae O Lewis; Richard Gorlick Journal: Expert Rev Anticancer Ther Date: 2017-12-14 Impact factor: 4.512
Authors: Heidi M Namløs; Leonardo A Meza-Zepeda; Tale Barøy; Ingrid H G Østensen; Stine H Kresse; Marieke L Kuijjer; Massimo Serra; Horst Bürger; Anne-Marie Cleton-Jansen; Ola Myklebost Journal: PLoS One Date: 2012-10-25 Impact factor: 3.240
Authors: Judson Welber Veríssimo de Azevedo; Thales Allyrio Araújo de Medeiros Fernandes; José Veríssimo Fernandes; Jenner Chrystian Veríssimo de Azevedo; Daniel Carlos Ferreira Lanza; Christiane Medeiros Bezerra; Vânia Sousa Andrade; Josélio Maria Galvão de Araújo; José Veríssimo Fernandes Journal: Oncol Lett Date: 2019-12-18 Impact factor: 2.967