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Dataset Information

The identification and prediction of lung adenocarcinoma prognosis using a novel gene signature associated with DNA replication.


ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the most aggressive lung cancer phenotype, and patients' clinical response is often limited by primary or acquired mechanisms of resistance to oncological therapy. One of the current clinical needs is to define clinical predictors for the prognosis of LUAD, aiming at offering patients a persistent treatment likely to delay disease progression as much as possible. This study relies on data from The Cancer Genome Atlas (TCGA) to define the functional roles and prognostic implications of DNA replication-related genes in LUAD.

Methods

Clinical features and RNA-sequencing data were collected from 607 LUAD patients from TCGA-LUAD dataset, with the aims to identify the genes related to patient prognosis, and the pathways related to DNA repli

SUBMITTER: Wu X 

PROVIDER: S-EPMC11985211 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature