A novel defined risk signature of ferroptosis-related lncRNAs for predicting prognosis, immune infiltration, and chemotherapy response in multiple myeloma.

ABSTRACT:

Background

Ferroptosis, an iron-dependent form of programmed cell death, has been implicated in various types of cancer. However, the association between ferroptosis-related long noncoding RNAs (FRLs) and multiple myeloma (MM) remains unclear. This study aimed to develop an FRL-based predictive model to assess its potential role in predicting overall survival prognosis and evaluating immune cell infiltration and chemotherapy response in MM patients.

Methods

We identified FRLs using the GEO and FerrDb databases and employed univariate Cox regression and least absolute shrinkage and selection operator (LASSO) to establish a prognostic FRLs signature in the training cohort. The reliability of the risk model was evaluated using Kaplan-Meier (K-M) and time-dependent receiver oper

SUBMITTER: Yu W 

PROVIDER: S-EPMC11813854 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature