Application of a risk score model based on tyrosine-related genes in the prognosis and treatment of patients with lung adenocarcinoma.

ABSTRACT:

Background

Tyrosine is associated with alterations in the tricarboxylic acid cycle in lung cancer, and exploring tyrosine-related genes (TRGs) has the potential to contribute to the construction of new sensitive prognostic biomarkers for patients with lung adenocarcinoma (LUAD).

Method

Lung cancer prognosis model was constructed by Lasso Cox regression, univariate and multivariate COX regression, GSEA, TIDE. Potential drugs were screened and drug sensitivities analyzed by the pRRophetic software package. And the role of MYO6 in lung cancer was confirmed by experiments in vitro.

Results

We identified 7 TRG risk score models (ZFP3, MEAK7, MMUR1, GTF3C6, MYO6, MAPK1IP1L and VAX1) for the diagnosis and prognosis of patients with LUAD. ROC curves and the C-index sug

SUBMITTER: Wang H 

PROVIDER: S-EPMC12623329 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature