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Dataset Information

High-risk early-stage lung adenocarcinoma patients are identified by an immune-related circadian clock gene signature.


ABSTRACT:

Background

Twenty-four-hour oscillations of circadian rhythms control comprehensive biological processes in the human body. In lung adenocarcinoma (LUAD), chronic circadian rhythm disruption is positively associated with tumorigenesis. However, few studies focus on circadian clock gene signatures (CGSs) for prognosis evaluation of patients with early-stage LUAD.

Methods

In this study, we aimed to construct a robust prognostic circadian rhythm-related biomarker from multiple public databases, including the Gene Expression Omnibus database and The Cancer Genome Atlas database. The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression model was performed to select optimal circadian clock gene pairs. Bioinformatic analyses were performed to estimate th

SUBMITTER: Wang ZH 

PROVIDER: S-EPMC9641348 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature