Identification of seven novel ferroptosis-related long non-coding RNA signatures as a diagnostic biomarker for acute myeloid leukemia

• Published in: BMC medical genomics 2021-09, Vol.14 (1), p.236-236, Article 236
• Main Authors: Zheng, Zhiyuan, Wu, Wei, Lin, Zehang, Liu, Shuhan, Chen, Qiaoqian, Jiang, Xiandong, Xue, Yan, Lin, Donghong
• Format: Article
• Language: English
• Subjects: Acute myeloid leukemia; Apoptosis; Biomarkers; Biomarkers, Tumor - genetics; Bone marrow; Cancer; Cell cycle; Cell death; Cohort Studies; Female; Ferroptosis; Ferroptosis - genetics; Gene expression; Gene Expression Regulation, Neoplastic; Gene set enrichment analysis; Genetic aspects; Genomes; Glutathione; Health aspects; Humans; Kaplan-Meier Estimate; Kinases; Leukemia; Leukemia, Myeloid, Acute - diagnosis; Leukemia, Myeloid, Acute - genetics; Leukemia, Myeloid, Acute - pathology; Long non-coding RNA signature; Male; Medical prognosis; Middle Aged; Myeloid leukemia; Non-coding RNA; Patients; Prognosis; Regression analysis; Risk groups; RNA; RNA, Long Noncoding - genetics; Software; TCGA; Tumor Microenvironment - immunology; Tumors
• ISSN: 1755-8794; 1755-8794
• DOI: 10.1186/s12920-021-01085-9

Ferroptosis is a newly discovered type of programmed cell death that participates in the biological processes of various cancers. However, the mechanism by which ferroptosis modulates acute myeloid leukemia (AML) remains unclear. This study aimed to investigate the role of ferroptosis-related long non-coding RNAs (lncRNAs) in AML and establish a corresponding prognostic model. RNA-sequencing data and clinicopathological characteristics were obtained from The Cancer Genome Atlas database, and ferroptosis-related genes were obtained from the FerrDb database. The "limma" R package, Cox regression, and the least absolute shrinkage and selection operator were used to determine the ferroptosis-related lncRNA signature with the lowest Akaike information criteria (AIC). The risk score of ferroptosis-related lncRNAs was calculated and patients with AML were divided into high- and low-risk groups based on the median risk score. The Kaplan-Meier curve and Cox regression were used to evaluate the prognostic value of the risk score. Finally, gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were performed to explore the biological functions of the ferroptosis-related lncRNAs. Seven ferroptosis-related lncRNA signatures were identified in the training group, and Kaplan-Meier and Cox regression analyses confirmed that risk scores were independent prognostic predictors of AML in both the training and validation groups (All P