Construction and validation of a novel prediction system for detection of overall survival in lung cancer patients.

ABSTRACT:

Background

Many factors have an aberrant effect on the overall survival of lung cancer (LC) patients. In recent years, remarkable progress has been made in immunotherapy, targeted treatment, and promising biomarkers. However, the available treatments and diagnostic methods are not specific for all patients.

Aim

To establish a system for predicting poor survival in patients with LC.

Methods

The expression matrix and clinical information for this study were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. After the differential analysis of all screened genes, weighted gene coexpression network analysis was performed to analyze hub genes related to patient survival. A logistic regression model was used to construct the scoring system. The expr

SUBMITTER: Zhong C 

PROVIDER: S-EPMC9254183 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature