A prognostic model for acute myeloid leukemia based on ferroptosis-related lncRNA and immune infiltration analysis

Acute myeloid leukemia (AML) is a rare tumor that invades the blood and bone marrow, it is rapidly progressive, highly aggressive, and difficult to cure. Studies have shown that long non-coding RNA (lncRNA) and ferroptosis play important roles in AML. However, few studies have been done on ferroptosis-related lncRNA for AML. To investigate the role of ferroptosis-related lncRNA in AML prognosis, we screened the differentially expressed genes related to ferroptosis and lncRNA. Ferroptosis-related lncRNA associated with AML prognosis was obtained by Pearson correlation analysis. By using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate Cox analysis, the ten prognostic genes were used for constructing the prognostic model. The model was then validated using a Kaplan-Meier analysis and Cox regression analysis. The ROC results have shown that the model could better predict AML survival. We identified some mutated genes that may affect the poor prognosis based on the somatic mutation analysis. The enrichment pathway analysis of prognostic genes revealed that these genes were mainly enriched in some immune pathways and cancer pathways. By immune infiltration analysis, we found that high-risk patients may respond better to immunotherapy.