A novel risk score model incorporating six co-stimulatory molecules for accurate prognosis prediction of laryngeal cancer.

ABSTRACT:

Background

Laryngeal cancer (LC) is a common respiratory tract malignancy. Although early-stage LC often responds well to treatment, advanced cases typically have poor outcomes and prognosis, resulting in a low overall survival (OS) rate. This study aimed to explore the correlation between co-stimulatory molecules and immune infiltration in LC and to construct a risk score (RS) model for predicting patient prognosis.

Methods

The RNA sequencing (RNA-seq) data of LC samples were downloaded from The Cancer Genome Atlas (TCGA) and used as the training dataset. The GSE27020 dataset served as the validation dataset. Univariate Cox regression analysis was performed to identify immune-related co-stimulatory molecules, based on which the samples were classified into three subtypes. K

SUBMITTER: Liu T 

PROVIDER: S-EPMC12432682 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature