Unknown

Dataset Information

Development and experimental verification of novel angiogenesis related prognostic model and immune infiltration characterization in osteosarcoma.


ABSTRACT:

Background

As the most common primary bone cancer, osteosarcoma (OS) still lacks satisfactory therapeutic outcomes. Therefore, it is crucial to further evaluate OS at different risk levels and identify new intervention targets. Many evidences suggest the important role of angiogenesis in OS, but further exploration is needed.

Methods

We utilized public databases TARGET and GEO and employed bioinformatics algorithms such as LASSO, univariate and multivariate Cox regression analyses, and unsupervised consensus clustering to explore the role of angiogenesis-related genes (AGRGs) in OS. By calculating AGRG scores, we further analyzed OS molecular subtypes based on AGRGs. The correlation between AGRG scores and immune infiltration was subsequently examined. In vitro experiments,

SUBMITTER: Ren S 

PROVIDER: S-EPMC11377409 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature