Prognostic value and immune infiltration of anoikis-related genes in osteosarcoma.

ABSTRACT:

Background

Currently, there is no research on building osteosarcoma (OS) prognostic models based on single-cell RNA sequencing (scRNA-seq) and anoikis-related genes (ARGs).

Methods

Differential genes between osteoblasts cells and osteosarcoma cells were identified using scRNA-seq, and ARGs were determined by Genecard database. Lasso regression was employed to investigate hub genes and construct the model based on TARGET. Kaplan-Meier survival analysis was applied to compare the survival differences. ROC curves were used to evaluate the predictive performance of the model. CIBERSORT and ESTIMATE algorithms were conducted to calculate immune cell infiltration abundance. Finally, qRT-PCR and immunohistochemistry experiments were conducted to validate the results.

Results

SUBMITTER: Mo J 

PROVIDER: S-EPMC12631436 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature