<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhai L</submitter><funding>National Natural Science Foundation of China</funding><pagination>16337-16358</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10469729</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(15)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Endometrial cancer (EC) is the most common female reproductive system cancer in developed countries with growing incidence and associated mortality, which may be due to the growing prevalence of obesity. Metabolism reprogramming including glucose, amino acid, and lipid remodeling is a hallmark of tumors. Glutamine metabolism has been reported to participate in tumor proliferation and development. This study aimed to develop a glutamine metabolism-related prognostic model for EC and explore potential targets for cancer treatment.&lt;h4>Method&lt;/h4>Transcriptomic data and survival outcome of EC were retrieved from The Cancer Genome Atlas (TCGA). Differentially expressed genes related to glutamine metabolism were recognized and utilized to build a prognostic model by univaria</pubmed_abstract><journal>Cancer medicine</journal><pubmed_title>Glutamine and amino acid metabolism as a prognostic signature and therapeutic target in endometrial cancer.</pubmed_title><pmcid>PMC10469729</pmcid><funding_grant_id>82072861</funding_grant_id><funding_grant_id>82173119</funding_grant_id><funding_grant_id>82203568</funding_grant_id><funding_grant_id>82230050</funding_grant_id><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Zhai L</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Cheng Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Glutamine and amino acid metabolism as a prognostic signature and therapeutic target in endometrial cancer.</name><description>&lt;h4>Introduction&lt;/h4>Endometrial cancer (EC) is the most common female reproductive system cancer in developed countries with growing incidence and associated mortality, which may be due to the growing prevalence of obesity. Metabolism reprogramming including glucose, amino acid, and lipid remodeling is a hallmark of tumors. Glutamine metabolism has been reported to participate in tumor proliferation and development. This study aimed to develop a glutamine metabolism-related prognostic model for EC and explore potential targets for cancer treatment.&lt;h4>Method&lt;/h4>Transcriptomic data and survival outcome of EC were retrieved from The Cancer Genome Atlas (TCGA). Differentially expressed genes related to glutamine metabolism were recognized and utilized to build a prognostic model by univaria</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Aug</publication><modification>2025-06-27T03:05:44.323Z</modification><creation>2025-04-19T20:05:48.433Z</creation></dates><accession>S-EPMC10469729</accession><cross_references><pubmed>37387559</pubmed><doi>10.1002/cam4.6256</doi></cross_references></HashMap>