A methylation-based nomogram for predicting survival in patients with lung adenocarcinoma.

ABSTRACT:

Background

DNA methylation alteration is frequently observed in Lung adenocarcinoma (LUAD) and may play important roles in carcinogenesis, diagnosis, and prognosis. Thus, this study aimed to construct a reliable methylation-based nomogram, guiding prognostic classification screening and personalized medicine for LUAD patients.

Method

The DNA methylation data, gene expression data and corresponding clinical information of lung adenocarcinoma samples were extracted from The Cancer Genome Atlas (TCGA) database. Differentially methylated sites (DMSs) and differentially expressed genes (DEGs) were obtained and then calculated correlation by pearson correlation coefficient. Functional enrichment analysis and Protein-protein interaction network were used to explore the biological r

SUBMITTER: Wang X 

PROVIDER: S-EPMC8273993 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature