Infiltration of LPAR5⁺ macrophages in osteosarcoma tumor microenvironment predicts better outcomes.

ABSTRACT:

Introduction

Tumor microenvironment (TME) has been shown to be extensively involved in tumor development. However, the dynamic change of TME components and their effects are still unclear. Here, we attempted to identify TME-related genes that could help predict survival and may be potential therapeutic targets.

Methods

Data was collected from UCSC Xena and GEO database. ESTIMATE and CIBERSORT algorithms were applied to estimate the components and the proportions of TIICs in TME. We analyzed the gene expression differences of immune components and stromal components, respectively, and finally got the overlapped DEGs. Through protein-protein interaction (PPI) network and univariate Cox regression analysis based on shared DEGs, we screened out and validated the TME-related gene

SUBMITTER: He Y 

PROVIDER: S-EPMC9797602 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature