Construction and Validation of a CNV-Driven Ferroptosis-Related Gene Signature for Predicting the Prognosis of Lung Adenocarcinoma

Background. Previous studies have shown that ferroptosis plays an integral role in the development of cancer and copy number variations (CNVs) been reported to associated with ferroptosis. However, CNVs-driven ferroptosis-related genes (FRGs) lung adenocarcinoma (LUAD) continues be poorly understood. Therefore, we aimed establish a novel gene signature LUAD based on genes. Methods. The transcriptome data clinical features patients were downloaded from Gene Expression Omnibus (GEO) database Cancer Genome Atlas (TCGA) database. Differential analysis was carried out recognize differentially expressed CNV-driven FRGs. Univariate Cox least absolute shrinkage selection operator (LASSO) regression analyses utilized identify prognosis-associated Kaplan-Meier (K-M) builder estimate worth model. In addition, nomogram created survival probability each patient. Ultimately, immune microenvironment landscape between high low risk groups evaluated. Results. A total 22 FRGs acquired LUAD. These significantly serine family amino acid metabolism, iron regulation, reactive oxygen species cellular response oxidative stress, involved malaria, biosynthesis, HIF-1 signaling pathways. Moreover, strength 6 (TFAP2A, SLC2A1, AURKA, CDO1, SLC7A11, ALOX5), prognostic model created, samples fall into high- low-risk groups, high-risk group had poorer prognosis. Furthermore, score independent element. excellent predictive performance developed for calculating final result at 1, 2, 3 years. Finally, 19 cells different infiltration differences among groups. Conclusion. prognosis established could used as indicator further vivo vitro experiments are necessary.