Risk score model of autophagy-related genes in osteosarcoma.

ABSTRACT:

Background

Osteosarcoma (OS) is a common pediatric malignancy with high mortality and disability rates. Autophagy is an essential process in regulating the apoptosis and invasion of tumor cells, so constructing a risk score model of OS autophagy-related genes (ARGs) will bring benefit to the evaluation of both treatment and prognosis.

Methods

We downloaded a dataset of OS from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) database, and found OS-related ARGs through the Human Autophagy Database (HADb). Five hub ARGs (CCL2, AMBRA1, VEGFA, MYC and EGFR) were obtained using a multivariate Cox regression model. We then generated the risk scores and constructed a prediction model. Another dataset obtained from

SUBMITTER: Jiang M 

PROVIDER: S-EPMC8987880 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature