Exploration of telomere-related biomarkers for lung adenocarcinoma and targeted drug prediction.

ABSTRACT:

Aim

Bioinformatics analyses were performed to identify telomere biomarkers to develop a diagnostic model for lung adenocarcinoma (LUAD) and to predict potential target drugs for patients with LUAD.

Background

Telomeres function crucially in maintaining genome stability and chromosome integrity, and telomere-related genes (TRGs) serve as potential prognostic markers in a variety of cancers. However, studies focusing on TRGs in LUAD are limited.

Objective

To screen key telomere-related markers for LUAD and to evaluate their potential impact on the occurrence and development of LUAD.

Methods

LUAD samples were collected from University of California Santa Cruz (UCSC) Xena and 2093 telomere-related genes (TRGs) were obtained from TelNet database. Hub genes were scre

SUBMITTER: Zhao J 

PROVIDER: S-EPMC11811357 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature