{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["64(3)"],"submitter":["Kleijn TG"],"funding":["UMCG Cancer Research Fund"],"pubmed_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 dise"],"journal":["Genes, chromosomes & cancer"],"pagination":["e70046"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11949093"],"repository":["biostudies-literature"],"pubmed_title":["Genome-Wide DNA Methylation and Copy Number Alterations in Gastrointestinal Stromal Tumors."],"pmcid":["PMC11949093"],"pubmed_authors":["van den Broek E","van Hemel BM","Timmer B","van Kempen LC","Cleven AHG","Kats-Ugurlu G","Diercks GFH","Schuuring E","van Etten B","Suurmeijer AJH","Ameline B","Kooistra W","Reyners AKL","Bleckman RF","Timens W","de Haan JJ","Baumhoer D","Kleijn TG"],"additional_accession":[]},"is_claimable":false,"name":"Genome-Wide DNA Methylation and Copy Number Alterations in Gastrointestinal Stromal Tumors.","description":"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 dise","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2025-07-13T03:04:45.084Z","creation":"2025-07-13T03:04:45.084Z"},"accession":"S-EPMC11949093","cross_references":{"pubmed":["40145859"],"doi":["10.1002/gcc.70046"]}}