{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12(1)"],"submitter":["Ciceri S"],"funding":["Fondazione Umberto Veronesi","Associazione Bianca Garavaglia ONLUS, Busto Arsizio"],"pubmed_abstract":["Intra-tumor heterogeneity (ITH) fosters tumor evolution, resistance to therapy, and relapse. Recently, many evidence have been accumulated on the occurrence of genetic ITH in pediatric cancers. With this study we aimed to address the downstream effects that genetic and epigenetic ITH, and tumor-microenvironment interactions may produce within a tumor mass. To this aim, we investigated by high-throughput gene expression multiple samples of 5 hepatoblastomas, 5 neuroblastomas, 5 rhabdomyosarcomas, and 5 Wilms tumors. Principal component analysis, single sample hallmark gene sets analysis, and weighted gene co-expression network analysis were performed on gene expression data. We observed that the different tumors clustered by histotype, and then by case, and in addition, a variable degree of"],"journal":["Scientific reports"],"pagination":["17837"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9596396"],"repository":["biostudies-literature"],"pubmed_title":["Gene expression-based dissection of inter-histotypes, intra-histotype and intra-tumor heterogeneity in pediatric tumors."],"pmcid":["PMC9596396"],"pubmed_authors":["Morosi C","Carenzo A","Radice P","Ciceri S","Massimino M","Luksch R","Bertolotti A","Perotti D","Ianno MF","Collini P","Spreafico F","De Cecco L"],"additional_accession":[]},"is_claimable":false,"name":"Gene expression-based dissection of inter-histotypes, intra-histotype and intra-tumor heterogeneity in pediatric tumors.","description":"Intra-tumor heterogeneity (ITH) fosters tumor evolution, resistance to therapy, and relapse. Recently, many evidence have been accumulated on the occurrence of genetic ITH in pediatric cancers. With this study we aimed to address the downstream effects that genetic and epigenetic ITH, and tumor-microenvironment interactions may produce within a tumor mass. To this aim, we investigated by high-throughput gene expression multiple samples of 5 hepatoblastomas, 5 neuroblastomas, 5 rhabdomyosarcomas, and 5 Wilms tumors. Principal component analysis, single sample hallmark gene sets analysis, and weighted gene co-expression network analysis were performed on gene expression data. We observed that the different tumors clustered by histotype, and then by case, and in addition, a variable degree of","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2026-06-01T02:25:56.079Z","creation":"2025-04-07T09:17:24.026Z"},"accession":"S-EPMC9596396","cross_references":{"pubmed":["36284197"],"doi":["10.1038/s41598-022-20536-6"]}}