Signatures of tumor microenvironment-related genes and long noncoding RNAs predict poor prognosis in osteosarcoma.

ABSTRACT:

Introduction

Osteosarcoma is an aggressive bone cancer with poor outcomes, especially in young individuals. This study sought to identify tumor microenvironment-related genes (TMIEGs) and associated long noncoding RNAs (TMIELs) that influence patient prognosis.

Materials and methods

Data from the TARGET osteosarcoma and GTEx muscle datasets were analysed to calculate stromal and immune scores, dividing patients into high- and low-score groups. Differential gene expression was assessed, and prognostic TMIELs and TMIEGs were identified through regression analyses. Prognostic signatures were evaluated via Kaplan‒Meier curves, receiver operating characteristic (ROC) analysis, and Cox regression, while immune cell composition was analysed via CIBERSORT.

Results

Three progn

SUBMITTER: Lu Y 

PROVIDER: S-EPMC12266395 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature