Unknown

Dataset Information

Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.


ABSTRACT: Gastrointestinal stromal tumors (GISTs) are the most common type of mesenchymal tumor in the gastrointestinal tract. The present study aimed to identify the potential candidate biomarkers that may be involved in the pathogenesis and progression of v‑kit Hardy‑Zuckerman 4 feline sarcoma viral oncogene homolog (KIT)/platelet‑derived growth factor receptor α (PDGFRA) wild‑type GISTs. A joint bioinformatics analysis was performed to identify the differentially expressed genes (DEGs) in wild‑type GIST samples compared with KIT/PDGFRA mutant GIST samples. Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs was conducted using Database for Annotation, Visualization and Integrated Discovery and KEGG Orthology‑Based Annotation System (KOBAS)

SUBMITTER: Wang WJ 

PROVIDER: S-EPMC6172374 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature