A ferroptosis-related lncRNAs signature as a potential biomarker for diffuse large B-cell lymphoma patients

Background: Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma subtype in adult patients, with an annual incidence rate ranging from 25.0% to 40.0% worldwide. Nevertheless, the prognosis forthe disease remains poor. Objective: There is a pressing need for new, reliable biomarkers for prognosis prediction. Methods: Using 449 DLBCL samples from the Gene Expression Omnibus dataset, the relationships between ferroptosis-associated long non-coding RNAs (lncRNAs) were examined. Before applying univariate Cox analysis to exclude lncRNAs connected to prognosis, we used Pearson correlation analysis to filter a large number of lncRNAs associated with ferroptosis. Results: To predict the prognosis of DLBCL, eleven lncRNAs linked toferroptosis were subjected to selection operator Cox regression and least absolute shrinkage. Furthermore, it was demonstrated that six ferroptosis-related lncRNAs were the most effective in establishing a predictive risk model. People with DLBCL were assigned to high- and low-risk groups in terms of their median risk scores. The model built employing 11 ferroptosis-related lncRNAs demonstrated higher prognostic evaluation abilities, as demonstrated by the stratified analysis. Significant enrichment in tumor-related pathways was seen in high-risk patients. Age, World Health Organization grade, and the ferroptosis-related lncRNA prognostic factor were taken into consideration when creating a nomogram. Conclusion: In conclusion, the nomogram generated can precisely anticipate the overall survival of DLBCL patients across both cohorts.