A molecular and staging model predicts survival in patients with resected non-small cell lung cancer.

ABSTRACT:

Background

The current TNM staging system is far from perfect in predicting the survival of individual non-small cell lung cancer (NSCLC) patients. In this study, we aim to combine clinical variables and molecular biomarkers to develop a prognostic model for patients with NSCLC.

Methods

Candidate molecular biomarkers were extracted from the Gene Expression Omnibus (GEO), and Cox regression analysis was performed to determine significant prognostic factors. The survival prediction model was constructed based on multivariable Cox regression analysis in a cohort of 152 NSCLC patients. The predictive performance of the model was assessed by the Area under the Receiver Operating Characteristic Curve (AUC) and Kaplan-Meier survival analysis.

Results

The survival prediction

SUBMITTER: Liu L 

PROVIDER: S-EPMC6180609 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature