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Dataset Information

DNA methylation data-based molecular subtype classification and prediction in patients with gastric cancer.


ABSTRACT:

Background

Genetic and epigenetic alterations have been indicated to be closely correlated with the carcinogenesis, DNA methylation is one of most frequently occurring molecular behavior that take place early during this complicated process in gastric cancer (GC).

Methods

In this study, 398 samples were collected from the cancer genome atlas (TCGA) database and were analyzed, so as to mine the specific DNA methylation sites that affected the prognosis for GC patients. Moreover, the 23,588 selected CpGs that were markedly correlated with patient prognosis were used for consistent clustering of the samples into 6 subgroups, and samples in each subgroup varied in terms of M, Stage, Grade, and Age. In addition, the levels of methylation sites in each subgroup were calculated, an

SUBMITTER: Lian Q 

PROVIDER: S-EPMC7388223 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature