{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["19(1)"],"submitter":["Arriba M"],"pubmed_abstract":["<h4>Aim</h4>To investigate whether chromosomal instability (CIN) is associated with tumor phenotypes and/or with global genomic status based on MSI (microsatellite instability) and CIMP (CpG island methylator phenotype) in early-onset colorectal cancer (EOCRC).<h4>Methods</h4>Taking as a starting point our previous work in which tumors from 60 EOCRC cases (≤45 years at the time of diagnosis) were analyzed by array comparative genomic hybridization (aCGH), in the present study we performed an unsupervised hierarchical clustering analysis of those aCGH data in order to unveil possible associations between the CIN profile and the clinical features of the tumors. In addition, we evaluated the MSI and the CIMP statuses of the samples with the aim of investigating a possible relationship between"],"journal":["Neoplasia (New York, N.Y.)"],"pagination":["28-34"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5166699"],"repository":["biostudies-literature"],"pubmed_title":["Unsupervised Analysis of Array Comparative Genomic Hybridization Data from Early-Onset Colorectal Cancer Reveals Equivalence with Molecular Classification and Phenotypes."],"pmcid":["PMC5166699"],"pubmed_authors":["Brandariz L","Perea J","Arriba M","Rodriguez Y","Rueda D","Garcia JL","Alonso L","Gonzalez-Sarmiento R","Perez J","Nutu OA","Urioste M"],"additional_accession":[]},"is_claimable":false,"name":"Unsupervised Analysis of Array Comparative Genomic Hybridization Data from Early-Onset Colorectal Cancer Reveals Equivalence with Molecular Classification and Phenotypes.","description":"<h4>Aim</h4>To investigate whether chromosomal instability (CIN) is associated with tumor phenotypes and/or with global genomic status based on MSI (microsatellite instability) and CIMP (CpG island methylator phenotype) in early-onset colorectal cancer (EOCRC).<h4>Methods</h4>Taking as a starting point our previous work in which tumors from 60 EOCRC cases (≤45 years at the time of diagnosis) were analyzed by array comparative genomic hybridization (aCGH), in the present study we performed an unsupervised hierarchical clustering analysis of those aCGH data in order to unveil possible associations between the CIN profile and the clinical features of the tumors. In addition, we evaluated the MSI and the CIMP statuses of the samples with the aim of investigating a possible relationship between","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Jan","modification":"2026-05-05T16:15:26.397Z","creation":"2026-04-07T21:51:03.338Z"},"accession":"S-EPMC5166699","cross_references":{"pubmed":["27987438"],"doi":["10.1016/j.neo.2016.11.006"]}}