Integrated single-cell and bulk RNA sequencing analysis establishes a cancer associated fibroblast-related signature for predicting prognosis and therapeutic responses in neuroblastoma.

ABSTRACT:

Background

Cancer-associated fibroblasts (CAFs) greatly contribute to the growth, invasion, metastasis and drug resistance of neuroblastoma (NB). This study aimed to construct a CAF-related prognostic model and identify the immune status of patients with NB via single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq).

Methods

ScRNA-seq data of NB acquired from the Gene Expression Omnibus (GEO) database were used to identify cellular subpopulations. Bulk gene expression data were downloaded from GEO, The Cancer Genome Atlas (TCGA) and ArrayExpress databases and the prognostic model was constructed using univariate Cox and Least Absolute Shrinkage and Selection Operator (LASSO) analyses. Differences in immune infiltration, therapeutic responses and signaling pa

SUBMITTER: Cao Z 

PROVIDER: S-EPMC12214065 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature