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Dataset Information

A functional methylation signature to predict the prognosis of Chinese lung adenocarcinoma based on TCGA.


ABSTRACT:

Background

Lung cancer is the leading cause of cancer morbidity and mortality worldwide, however, the individualized treatment is still unsatisfactory. DNA methylation can affect gene regulation and may be one of the most valuable biomarkers in predicting the prognosis of lung adenocarcinoma. This study was aimed to identify methylation CpG sites that may be used to predict lung adenocarcinoma prognosis.

Methods

The Cancer Genome Atlas (TCGA) database was used to detect methylation CpG sites associated with lung adenocarcinoma prognosis and construct a methylation signature model. Then, a Chinese cohort was carried out to estimate the association between methylation and lung adenocarcinoma prognosis. Biological function studies, including demethylation treatment, cell prolif

SUBMITTER: Wang K 

PROVIDER: S-EPMC8704183 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature