DNA methylation profiles predicting response to anti-PD-1-based treatment in patients with advanced gastric cancer.

ABSTRACT:

Background

Immunotherapy has shown promise in treating gastric cancer (GC), yet predicting its efficacy remains challenging. Here we investigated DNA methylation as a predictive marker for response of anti-PD-1-based treatment in GC.

Methods

A total of 99 GC patients treated with first-line anti-PD-1-based treatment were enrolled. In the model construction phase, 30 samples were analyzed using the Infinium MethylationEPIC BeadChip (850 K array) and 41 samples using Targeted Bisulfite Sequencing (TBS). Support Vector Machine-Recursive Feature Elimination (SVM-RFE) and Least Absolute Shrinkage and Selector Operation (LASSO) were applied to identify differential CpG methylation probes (DMPs). Seven machine learning models were developed, and their performance was assessed by th

SUBMITTER: Tang W 

PROVIDER: S-EPMC12487477 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature