Transcription factor activity-based stratification reveals prognostic subtypes and immune landscape in neuroblastoma.

ABSTRACT:

Background

High-risk neuroblastoma (NB) still carries a <50% long-term survival despite risk-adapted therapy. Conventional risk metrics (age, stage, MYCN status) fail to capture transcriptional programs that drive tumor aggressiveness and immune escape. We hypothesized that systematic transcription factor (TF) activity profiling would reveal clinically actionable NB subtypes. This study aimed to profile TF activities in NB to develop and validate a TF-based prognostic score and to examine its association with the tumor immune microenvironment.

Methods

TF activities for 498 primary NB tumors (GSE49710) were inferred with decoupleR-univariate linear model (ULM) using the OmniPath regulon. TFs that were significantly associated with overall survival (OS; Cox; P<1×10-4; n

SUBMITTER: Gao M 

PROVIDER: S-EPMC12771254 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature