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Dataset Information

DNA methylation profile in CpG-depleted regions uncovers a high-risk subtype of early-stage colorectal cancer.


ABSTRACT:

Background

The current risk stratification system defined by clinicopathological features does not identify the risk of recurrence in early-stage (stage I-II) colorectal cancer (CRC) with sufficient accuracy. We aimed to investigate whether DNA methylation could serve as a novel biomarker for predicting prognosis in early-stage CRC patients.

Methods

We analyzed the genome-wide methylation status of CpG loci using Infinium MethylationEPIC array run on primary tumor tissues and normal mucosa of early-stage CRC patients to identify potential methylation markers for prognosis. The machine-learning approach was applied to construct a DNA methylation-based prognostic classifier for early-stage CRC (MePEC) using the 4 gene methylation markers FAT3, KAZN, TLE4, and DUSP3. The progno

SUBMITTER: Yu H 

PROVIDER: S-EPMC10089593 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature