Identification of key genes and pathways in Ewing's sarcoma patients associated with metastasis and poor prognosis.
Ontology highlight
ABSTRACT: Background: Ewing sarcoma (ES) is the second commonest primary malignant bone neoplasm. Metastatic status at diagnosis strongly predicted poor prognosis of Ewing sarcoma patients. Yet little was known about the underlying mechanism of ES metastasis. Purpose:This study intended to identify the relationship between key genes/pathways and metastasis/poor prognosis in Ewing's sarcoma patients by using bioinformatic method. Methods: In this study, multi-center sequencing data were obtained from the GEO database, including gene and miRNA expression profile and prognosis information of ES patients. Differentially expressed genes (DEGs) were identified between primary and metastasis ES samples by the GEO2R online tool. Gene ontology (Go) and Kyoto encyclopedia of genes and gen
SUBMITTER: Li G
PROVIDER: S-EPMC6549663 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
ACCESS DATA