Construction of an immune prediction model for osteosarcoma based on coagulation-related genes.

ABSTRACT:

Objectives

The prognostic outcome of osteosarcoma, as the most common primary malignancy in children and adolescents, has not improved with the development of modern medical care, and the aim of this study was to investigate the role of the coagulation system in the diagnosis and development of osteosarcoma.

Methods

TRGET and GEO databases were used to acquire clinical information and matching RNA data from osteosarcoma patients. To find novel molecular groupings based on coagulation systems, shared clustering was used. TIMER, SSGSEA, CIBERSORT, QUANTISEQ, XCELL, EPIC, and MCPCOUNTER analyses were used to identify the immunological status of the identified subgroups and tumor immune microenvironment (TIME). To understand the underlying processes, functional studies such as G

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC12314180 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature