Logistic regression analysis for the identification of the metastasis-associated signaling pathways of osteosarcoma.

ABSTRACT: Osteosarcoma (OS) is the most common histological type of primary bone cancer. The present study was designed to identify the key genes and signaling pathways involved in the metastasis of OS. Microarray data of GSE39055 were downloaded from the Gene Expression Omnibus database, which included 19 OS biopsy specimens before metastasis (control group) and 18 OS biopsy specimens after metastasis (case group). After the differentially expressed genes (DEGs) were identified using the Linear Models for Microarray Analysis package, hierarchical clustering analysis and unsupervised clustering analysis were performed separately, using orange software and the self-organization map method. Based upon the Database for Annotation, Visualization and Integrated Discovery tool and Cytoscape software, enri

SUBMITTER: Liu Y 

PROVIDER: S-EPMC5819903 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature