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ABSTRACT: Background
Ferroptosis is an iron-dependent programmed cell death mechanism that influences the development of malignancy. Lung adenocarcinoma (LUAD) is the most common type of lung cancer with no known cure. Anti-PD-1/PD-L immunotherapy is effective for patients with partial LUAD. Therefore, there is an immediate requirement of novel markers to predict the individualised benefits of immunotherapy.Methods
We manually collected the ferroptosis-related gene (FERG) set and employed the Wilcoxon rank-sum test to identify the differentially expressed FERGs. Subsequently, we constructed a recursive partitioning and regression tree (RPART) model to predict the benefits of anti-PD-1/PD-L1 immunotherapy. Subsequently, the ROC curve and AUC were used to evaluate the model efficiency
SUBMITTER: Zhou M
PROVIDER: S-EPMC8649384 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature