Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients.

ABSTRACT:

Background

Tumor microenvironment (TME) plays an important role in malignant tumors. Our study aimed to investigate the effect of the TME and related genes in osteosarcoma patients.

Methods

Gene expression profiles and clinical data of osteosarcoma patients were downloaded from the TARGET dataset. ESTIMATE algorithm was used to quantify the immune score. Then, the association between immune score and prognosis was studied. Afterward, a differential analysis was performed based on the high- and low-immune scores to determine TME-related genes. Additionally, Cox analyses were performed to construct two prognostic signatures for overall survival (OS) and disease-free survival (DFS), respectively. Two datasets obtained from the GEO database were used to validate signatures.

R

SUBMITTER: Hu C 

PROVIDER: S-EPMC7450807 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature