Genome-Wide DNA Methylation and Copy Number Alterations in Gastrointestinal Stromal Tumors

Abstract

Gastrointestinal stromal tumors (GISTs) span a broad clinical spectrum, from indolent neoplasms to life-threatening metastatic tumors. A persistent limitation of current risk stratification systems is that a subset of GISTs is graded as low-risk but nevertheless metastasizes. Therefore, new predictive factors that improve risk stratification are needed. In this exploratory study, we investigated the potential of genome-wide DNA methylation profiling and copy number variation (CNV) analysis as additional prognostic tools for GISTs. We collected a cohort of 28 patients with GIST diagnosed between 2001 and 2022, with available follow-up and molecular data. This included 15 patients without progressive disease (seven low-risk and eight moderate- to high-risk GISTs) and 13 with progressive disease. Among those with progression, eight experienced recurrence or metastasis post-surgery (one low-risk, seven high-risk GISTs), while five had metastatic disease at initial diagnosis. Risk stratification was determined according to Miettinen's criteria. Genome-wide DNA methylation data and CNV plots were generated from imatinib-naïve primary GISTs using the Illumina Infinium MethylationEPIC BeadChip array. Unsupervised cluster analysis revealed distinct DNA methylation patterns predominantly associated with anatomical location and genotype. Differential DNA methylation analysis comparing primary gastric GISTs associated with and without progressive disease showed 8 differentially methylated regions spanning the coding and promoter areas of 6 genes. CNV analysis demonstrated that GISTs associated with progressive disease had the most CNVs, whereas low-risk, non-progressive GISTs had the fewest. Despite the limited sample size, this exploratory study indicates that genome-wide DNA methylation profiling and CNV analysis could enhance GIST risk stratification.