<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12</volume><submitter>Li C</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>944476</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9558288</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Construction of a prognostic model of colon cancer patients based on metabolism-related lncRNAs.</pubmed_title><pmcid>PMC9558288</pmcid><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Liu Q</pubmed_authors><pubmed_authors>Wang W</pubmed_authors><pubmed_authors>Song Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Construction of a prognostic model of colon cancer patients based on metabolism-related lncRNAs.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2026-06-22T03:10:08.6Z</modification><creation>2025-04-07T10:22:09.596Z</creation></dates><accession>S-EPMC9558288</accession><cross_references><pubmed>36248984</pubmed><doi>10.3389/fonc.2022.944476</doi></cross_references></HashMap>