{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Li C"],"pubmed_abstract":["<h4>Background</h4>Many studies have shown that metabolism-related lncRNAs may play an important role in the pathogenesis of colon cancer. In this study, a prognostic model for colon cancer patients was constructed based on metabolism-related lncRNAs.<h4>Methods</h4>Both transcriptome data and clinical data of colon cancer patients were downloaded from the TCGA database, and metabolism-related genes were downloaded from the GSEA database. Through differential expression analysis and Pearson correlation analysis, long non-coding RNAs (lncRNAs) related to colon cancer metabolism were obtained. CRC patients were divided into training set and verification set at the ratio of 2:1. Based on the training set, univariate Cox regression analysis was utilized to determine the prognostic differential"],"journal":["Frontiers in oncology"],"pagination":["944476"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9558288"],"repository":["biostudies-literature"],"pubmed_title":["Construction of a prognostic model of colon cancer patients based on metabolism-related lncRNAs."],"pmcid":["PMC9558288"],"pubmed_authors":["Li C","Zhang X","Liu Q","Wang W","Song Y"],"additional_accession":[]},"is_claimable":false,"name":"Construction of a prognostic model of colon cancer patients based on metabolism-related lncRNAs.","description":"<h4>Background</h4>Many studies have shown that metabolism-related lncRNAs may play an important role in the pathogenesis of colon cancer. In this study, a prognostic model for colon cancer patients was constructed based on metabolism-related lncRNAs.<h4>Methods</h4>Both transcriptome data and clinical data of colon cancer patients were downloaded from the TCGA database, and metabolism-related genes were downloaded from the GSEA database. Through differential expression analysis and Pearson correlation analysis, long non-coding RNAs (lncRNAs) related to colon cancer metabolism were obtained. CRC patients were divided into training set and verification set at the ratio of 2:1. Based on the training set, univariate Cox regression analysis was utilized to determine the prognostic differential","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2026-06-22T03:10:08.6Z","creation":"2025-04-07T10:22:09.596Z"},"accession":"S-EPMC9558288","cross_references":{"pubmed":["36248984"],"doi":["10.3389/fonc.2022.944476"]}}