Construction and validation of an NAD plus metabolism-related lncRNA signature for predicting the prognosis and immune landscape of acute myeloid leukemia

Background This study aimed to investigate the potential of a NAD(+) metabolism-related lncRNA signature as a reliable prognostic biomarker for acute myeloid leukemia (AML). Methods Transcriptome profiles and clinical data of AML patients were obtained from The Cancer Genome Atlas (TCGA) database. NAD+ metabolism-related genes (NMRGs) were identified from the KEGG and Reactome databases. Coexpression analysis was used to screen NAD(+) metabolism-related lncRNAs. The NAD(+) metabolismrelated lncRNA signature was constructed using univariate analysis, LASSO regression, and multivariate analysis. High- and low-risk groups were compared for survival, tumor mutation burden, immune cell infiltration, and response to immunotherapy. Enrichment analysis explored the biological functions. Results LINC01679, AC079922.2, TRAF3IP2-AS1, and LINC02465 were identified to construct the risk model. The model exhibited good predictive power and outperformed age and gender as an independent prognostic marker. High-risk patients showed poorer survival, distinct TP53 mutations, and altered immune cell infiltration compared to low-risk patients. Additionally, low-risk patients exhibited greater sensitivity to immunotherapy. Enriched biological functions included leukocyte migration and positive regulation of cytokine production. Conclusions The NAD(+) metabolism-related lncRNA signature shows promise in predicting clinical outcomes for AML patients.

Automated summary

This study investigates the potential of a NAD(+) metabolism-related lncRNA signature as a prognostic biomarker for acute myeloid leukemia (AML). Transcriptome profiles and clinical data of AML patients were obtained from The Cancer Genome Atlas (TCGA) database. NAD(+) metabolism-related lncRNAs were identified and a predictive model was constructed. The model showed good predictive power and outperformed other markers in terms of prognosis.