A survival model for prognostic prediction based on ferroptosis-associated genes and the association with immune infiltration in lung squamous cell carcinoma

Yanyi Lu, Hua Yang, Yunliang Cao, Yunan Wang, Mengjia Wu, Bo He, Junzhu Xu, Zixuan Su, Wen Luo, Yuyang Liu and Wei Hu

PLOS ONE, 2023, vol. 18, issue 3, 1-22

Abstract: Lung squamous cell carcinoma (LUSC) is the primary pathological type of lung cancer with a less favorable prognosis. This study attempts to construct a ferroptosis-associated signature associated with overall survival (OS) that can predict the prognosis of LUSC and explore its relationship with immune infiltration. A 5 ferroptosis-associated gene model was constructed by LASSO-penalized regression analysis to predict the prognosis of patients with LUSC in the TCGA database and validated in the GEO and TCGA databases. Patients were stratified into high-risk and low-risk groups by the median value of the risk scores, and the former prognosis was significantly worse (P

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0282888

DOI: 10.1371/journal.pone.0282888

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