Network analysis of master regulators associated with invasive phenotypes in multiple myeloma.

ABSTRACT: To elucidate the role of transcriptional regulators (TRs) associated with invasiveness in multiple myeloma (MM), we conducted a systematic network analysis to identify key master regulators (MRs) that govern MM invasiveness. We employed a consensus clustering method based on a 24-gene signature to classify MM patients into high invasiveness (INV-H) and low invasiveness (INV-L) groups. Subsequently, we identified TRs specific to the INV-H and INV-L phenotypes as MRs using a network-based approach, and we validated the MR activities that correlated with the INV-H phenotype across multiple independent datasets. We evaluated the effect of MRs on patient outcomes in relation to the prognosis of MM. By utilizing siRNA to disrupt ERG expression in U266 and RPMI8226 cell lines, we evaluated the ef

SUBMITTER: Qian F 

PROVIDER: S-EPMC12307296 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature