{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Oh E"],"funding":["Institute of Information & Communications Technology Planning & Evaluation (IITP)","GIST Research Project grant","Institute for Information and Communications Technology Promotion"],"pagination":["11960-11970"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10242347"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(10)"],"pubmed_abstract":["<h4>Background</h4>In identifying prognostic markers in cancer, the roles of tumor-adjacent normal tissues are often confined to drawing expression differences between tumor and normal tissues rather than being treated as the main targets of investigations. Thus, differential expression analysis between tumors and adjacent normal tissues is performed prior to prognostic analysis in previous studies. However, recent studies have suggested that the prognostic relevance of differentially expressed genes (DEGs) is insignificant for some cancers, contradicting conventional approaches METHODS: This study investigated the prognostic efficacy of transcriptomic data from tumors and adjacent normal tissues using The Cancer Genome Atlas dataset. Prognostic analysis using Cox regression models and sur"],"journal":["Cancer medicine"],"pubmed_title":["Transcriptomic data in tumor-adjacent normal tissues harbor prognostic information on multiple cancer types."],"pmcid":["PMC10242347"],"funding_grant_id":["2019-0-01842","2019-0-00567","2023","2019‐0‐00567","2019‐0‐01842"],"pubmed_authors":["Lee H","Oh E"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptomic data in tumor-adjacent normal tissues harbor prognostic information on multiple cancer types.","description":"<h4>Background</h4>In identifying prognostic markers in cancer, the roles of tumor-adjacent normal tissues are often confined to drawing expression differences between tumor and normal tissues rather than being treated as the main targets of investigations. Thus, differential expression analysis between tumors and adjacent normal tissues is performed prior to prognostic analysis in previous studies. However, recent studies have suggested that the prognostic relevance of differentially expressed genes (DEGs) is insignificant for some cancers, contradicting conventional approaches METHODS: This study investigated the prognostic efficacy of transcriptomic data from tumors and adjacent normal tissues using The Cancer Genome Atlas dataset. Prognostic analysis using Cox regression models and sur","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-04T14:40:16.624Z","creation":"2025-04-04T14:40:16.624Z"},"accession":"S-EPMC10242347","cross_references":{"pubmed":["36999961"],"doi":["10.1002/cam4.5864"]}}