Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction.

ABSTRACT:

Background

DNA methylation showed notable potential to act as a diagnostic marker in many cancers. Many studies proposed DNA methylation biomarker in OSCC detection, while most of these studies are limited to specific cohorts or geographical location. However, the generalizability of DNA methylation as a diagnostic marker in oral cancer across different geographical locations is yet to be investigated.

Methods

We used genome-wide methylation data from 384 oral cavity cancer and normal tissues from TCGA HNSCC and eastern India. The common differentially methylated CpGs in these two cohorts were used to develop an Elastic-net model that can be used for the diagnosis of OSCC. The model was validated using 812 HNSCC and normal samples from different anatomical sites of oral cavi

SUBMITTER: Das S 

PROVIDER: S-EPMC11389552 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature