Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma

Abstract Cuproptosis, a recently discovered form of cell death, has emerged as a crucial player in tumor development, although its role in uterine corpus endometrial carcinoma (UCEC) remains inadequately explored. This study aims to identify prognostically relevant cuproptosis-related genes in endom...

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Main Authors: Yanfang Huang, Guoxian Luo, Xiujie Sheng, Jianqi Li
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-86756-8
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author Yanfang Huang
Guoxian Luo
Xiujie Sheng
Jianqi Li
author_facet Yanfang Huang
Guoxian Luo
Xiujie Sheng
Jianqi Li
author_sort Yanfang Huang
collection DOAJ
description Abstract Cuproptosis, a recently discovered form of cell death, has emerged as a crucial player in tumor development, although its role in uterine corpus endometrial carcinoma (UCEC) remains inadequately explored. This study aims to identify prognostically relevant cuproptosis-related genes in endometrial cancer. Cuproptosis-related genes were sourced from previously published studies and the FerrDb database. UCEC gene expression profiles and clinical data were obtained from the TCGA database. Differential gene expression was determined using LIMMA analysis, and functional enrichment analysis was conducted on identified cuproptosis-related genes. A prognostic model for UCEC was developed using LASSO Cox regression analysis and a Nomogram, integrating survival data, status, and gene signatures. TIMER analysis assessed the impact of crucial cuproptosis-related genes on immune cell infiltration in UCEC. Validation of the selected genes, CDKN2A, GLS, and PPAT, was performed at both mRNA and protein levels. A total of 27 cuproptosis-related genes were identified, with 19 upregulated and 6 downregulated in UCEC. These genes were associated with key signaling pathways, including the TCA cycle, Pyruvate metabolism, Glycolysis/Gluconeogenesis, and Platinum drug resistance. The LASSO regression and Nomogram models demonstrated robust predictive performance for UCEC prognosis, identifying CDKN2A, GLS, and PPAT as critical prognostic genes. Furthermore, these genes played essential roles in immune cell infiltration in UCEC, confirming their significance. Validation at both mRNA and protein levels solidified the role of CDKN2A, GLS, and PPAT. The identified signature of CDKN2A, GLS, and PPAT demonstrates significant predictive value for UCEC prognosis, suggesting their potential as therapeutic targets, including their application in immunotherapy strategies.
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spelling doaj-art-f8fd4cd6344d4af190df4d5c6b961b672025-01-19T12:19:56ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-025-86756-8Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial CarcinomaYanfang Huang0Guoxian Luo1Xiujie Sheng2Jianqi Li3Department of Anesthesiology, Guangzhou First People’s hospital;The First People’s Hospital of Guangzhou Medical University, The Second Affiliated Hospital of South China University of TechnologyDepartment of Gynecology, The Fourth Affiliated Hospital of Guangzhou Medical UniversityDepartment of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical UniversityDepartment of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical UniversityAbstract Cuproptosis, a recently discovered form of cell death, has emerged as a crucial player in tumor development, although its role in uterine corpus endometrial carcinoma (UCEC) remains inadequately explored. This study aims to identify prognostically relevant cuproptosis-related genes in endometrial cancer. Cuproptosis-related genes were sourced from previously published studies and the FerrDb database. UCEC gene expression profiles and clinical data were obtained from the TCGA database. Differential gene expression was determined using LIMMA analysis, and functional enrichment analysis was conducted on identified cuproptosis-related genes. A prognostic model for UCEC was developed using LASSO Cox regression analysis and a Nomogram, integrating survival data, status, and gene signatures. TIMER analysis assessed the impact of crucial cuproptosis-related genes on immune cell infiltration in UCEC. Validation of the selected genes, CDKN2A, GLS, and PPAT, was performed at both mRNA and protein levels. A total of 27 cuproptosis-related genes were identified, with 19 upregulated and 6 downregulated in UCEC. These genes were associated with key signaling pathways, including the TCA cycle, Pyruvate metabolism, Glycolysis/Gluconeogenesis, and Platinum drug resistance. The LASSO regression and Nomogram models demonstrated robust predictive performance for UCEC prognosis, identifying CDKN2A, GLS, and PPAT as critical prognostic genes. Furthermore, these genes played essential roles in immune cell infiltration in UCEC, confirming their significance. Validation at both mRNA and protein levels solidified the role of CDKN2A, GLS, and PPAT. The identified signature of CDKN2A, GLS, and PPAT demonstrates significant predictive value for UCEC prognosis, suggesting their potential as therapeutic targets, including their application in immunotherapy strategies.https://doi.org/10.1038/s41598-025-86756-8CuproptosisFerroptosisUterine Corpus Endometrial CarcinomaGLSPrognostic
spellingShingle Yanfang Huang
Guoxian Luo
Xiujie Sheng
Jianqi Li
Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma
Scientific Reports
Cuproptosis
Ferroptosis
Uterine Corpus Endometrial Carcinoma
GLS
Prognostic
title Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma
title_full Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma
title_fullStr Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma
title_full_unstemmed Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma
title_short Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma
title_sort construction of cuproptosis related genes risk model predicts the prognosis of uterine corpus endometrial carcinoma
topic Cuproptosis
Ferroptosis
Uterine Corpus Endometrial Carcinoma
GLS
Prognostic
url https://doi.org/10.1038/s41598-025-86756-8
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AT xiujiesheng constructionofcuproptosisrelatedgenesriskmodelpredictstheprognosisofuterinecorpusendometrialcarcinoma
AT jianqili constructionofcuproptosisrelatedgenesriskmodelpredictstheprognosisofuterinecorpusendometrialcarcinoma