A novel telomere-related gene prognostic signature for survival and drug treatment efficiency prediction in lung adenocarcinoma.

ABSTRACT:

Objective

Telomere-related genes (TRGs) play a critical role in various types of tumors. However, there is a lack of comprehensive exploration of their relevance in lung cancer. This research aimed to verify the relationship between TRGs gene expression and the prognosis of patients with lung adenocarcinoma (LUAD), as well as the prediction of drug treatment efficiency.

Methods

A total of 2093 TRGs were acquired from TelNet. The clinical information including age, tumor stage, follow up and outcome (death/survival) and TRGs expression profile of LUAD were obtained from the patients in The Cancer Genome Atlas (TCGA) database and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) database. The two databases were used to construct and verify a prognostic model based on th

SUBMITTER: Chen H 

PROVIDER: S-EPMC10497012 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature