Unknown

Dataset Information

Establishing a glycolysis-linked multigene prognostic signature in lung adenocarcinoma: a multicenter integrative approach.


ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the most common type of lung cancer, and has a high mortality rate. Surgical resection is the standard treatment for early stage patients; however, many patients experience recurrence or death within 5 years. Thus, reliable prognostic markers urgently need to be identified to guide clinical decisions and enhance patient outcomes. While molecular profiling has uncovered significant molecular irregularities in LUAD, existing prognostic signatures exhibit limited reproducibility and inconsistent performance across datasets. These limitations are mainly attributed to small sample sizes, technical biases, and inadequate biological context. This study aims to develop a function-derived gene signature for LUAD prognosis using a multicenter integrat

SUBMITTER: Dong W 

PROVIDER: S-EPMC12433139 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature