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Dataset Information

Development and validation of a combined ferroptosis and immune prognostic signature for lung adenocarcinoma.


ABSTRACT:

Background

Studies have shown that the regulation of ferroptosis could be a new approach to cancer treatment and abnormal ferroptosis is closely associated with a dysregulated immune response. However, a combined signature with ferroptosis-related genes (FRGs) and immune-related genes (IRGs) is necessary to be constructed for predicting prognoses and guiding individualized precision therapy of lung adenocarcinoma (LUAD) patients.

Methods

In this study, based on the Cancer Genome Atlas (TCGA) cohort, prognosis-related FRGs and IRGs were first identified and incorporated into the Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression model to generate a combined signature of ferroptosis- and immune-related genes (CSFI) values to predict the overall survivals (O

SUBMITTER: Li H 

PROVIDER: S-EPMC9641098 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature