{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang Z"],"funding":["Shanxi Medical key scientific research project","China central government funds for guiding local scientific and technological development","Natural Science Foundation of ShanXi Province"],"pagination":["30"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9942349"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(1)"],"pubmed_abstract":["<h4>Background</h4>Osteosarcoma has been the most common primary bone malignant tumor in children and adolescents. Despite the considerable improvement in the understanding of genetic events attributing to the rapid development of molecular pathology, the current information is still lacking, partly due to the comprehensive and highly heterogeneous nature of osteosarcoma. The study is to identify more potential responsible genes during the development of osteosarcoma, thus identifying promising gene indicators and aiding more precise interpretation of the disease.<h4>Methods</h4>Firstly, from GEO database, osteosarcoma transcriptome microarrays were used to screen the differential expression genes (DEGS) in cancer comparing to normal bone samples, followed by GO/KEGG interpretation, risk s"],"journal":["BMC medical genomics"],"pubmed_title":["Osteosarcoma transcriptome data exploration reveals STC2 as a novel risk indicator in disease progression."],"pmcid":["PMC9942349"],"funding_grant_id":["2021XM34","201901D211498","YDZJSX2021A042"],"pubmed_authors":["Yang Z","Wei R","Shang L","Wang C","Shen N","Zeng Z","Shang Y","Gui Z","Du J","Wang Z","Gao F","Ma W"],"additional_accession":[]},"is_claimable":false,"name":"Osteosarcoma transcriptome data exploration reveals STC2 as a novel risk indicator in disease progression.","description":"<h4>Background</h4>Osteosarcoma has been the most common primary bone malignant tumor in children and adolescents. Despite the considerable improvement in the understanding of genetic events attributing to the rapid development of molecular pathology, the current information is still lacking, partly due to the comprehensive and highly heterogeneous nature of osteosarcoma. The study is to identify more potential responsible genes during the development of osteosarcoma, thus identifying promising gene indicators and aiding more precise interpretation of the disease.<h4>Methods</h4>Firstly, from GEO database, osteosarcoma transcriptome microarrays were used to screen the differential expression genes (DEGS) in cancer comparing to normal bone samples, followed by GO/KEGG interpretation, risk s","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2026-05-28T16:30:16.333Z","creation":"2024-11-19T16:27:14.149Z"},"accession":"S-EPMC9942349","cross_references":{"pubmed":["36803385"],"doi":["10.1186/s12920-023-01456-4"]}}