A Four-Gene Autophagy-Related Prognostic Model Signature and Its Association With Immune Phenotype in Lung Squamous Cell Carcinoma.

ABSTRACT:

Background

In the era of immunotherapy, there is a critical need for effective biomarkers to improve outcome prediction and guide treatment decisions for patients with lung squamous cell carcinoma (LUSC). We hypothesized that the immune contexture of LUSC may be influenced by tumor intrinsic events, such as autophagy.

Aims

We aimed to develop an autophagy-related risk signature and assess its predictive value for immune phenotype.

Methods and results

Expression profiles of autophagy-related genes (ARGs) in LUSC samples were obtained from the TCGA and GEO databases. Survival analyses were conducted to identify survival-related ARGs and construct a risk signature using the Random Forest algorithm. Four ARGs (CFLAR, RGS19, PINK1, and CTSD) with the most significant progn

SUBMITTER: Luo L 

PROVIDER: S-EPMC11499073 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature