Unknown

Dataset Information

Identification of different subtypes of ovarian cancer and construction of prognostic models based on glutamine-metabolism associated genes.


ABSTRACT: Ovarian cancer (OC) is common malignant tumor of female reproductive system. Glutamine metabolism-related genes (GMRGs) play a key role in ovarian cancer. Here, available database-- The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases were applied in our research. OC samples from TCGA were divided into different clusters based on Cox analysis, which filtering GMRGs with survival information. Then, differentially expressed genes (DEGs) between these clusters were intersected with DEGs between normal ovary samples and OC samples, and GMRGs in order to obtain GMRGs-related DEGs. Next, a risk model of OC was constructed and enrichment analysis of risk model was performed based on hallmark gene set. Besides, the immune cells ratio in OC

SUBMITTER: Yaqing X 

PROVIDER: S-EPMC10950510 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature