Ontology highlight
ABSTRACT: Background
Patients with early-stage lung adenocarcinoma (LUAD) exhibit significant heterogeneity in overall survival. The current tumour-node-metastasis staging system is insufficient to provide precise prediction for prognosis.Methods
We quantified the levels of various hallmarks of cancer and identified hypoxia as the primary risk factor for overall survival in early-stage LUAD. Different bioinformatic and statistical methods were combined to construct a robust hypoxia-related gene signature for prognosis. Furthermore, a decision tree and a nomogram were constructed based on the gene signature and clinicopathological features to improve risk stratification and quantify risk assessment for individual patients.Results
The hypoxia-related gene signature discriminate
SUBMITTER: Sun J
PROVIDER: S-EPMC7333486 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature