Prognostic and Therapeutic Significance of Cancer-Associated Fibroblasts Genes in Osteosarcoma Based on Bulk and Single-Cell RNA Sequencing Data.

ABSTRACT: Osteosarcoma (OS) is the most frequent primary solid malignancy of bone, whose course is usually dismal without efficient treatments. The aim of the study was to discover novel risk models to more accurately predict and improve the prognosis of patients with osteosarcoma. The single-cell RNA sequencing (scRNA-seq) data was obtained from the GEO database. Bulk RNA-seq data and microarray data of OS were obtained from the TARGET and GEO databases respectively. A clustering tree was plotted to classify all cells into different clusters. The "cellchat" R package was used to establish and visualise cell-cell interaction networks. Then Univariate COX regression analysis was used to determine the prognostic CAF-related genes, followed by the Lasso-Cox regression analysis to build a risk on the pr

SUBMITTER: Que Y 

PROVIDER: S-EPMC11882394 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature