A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer

IntroductionExcess copper induces cell death by binding to lipoylated components of the tricarboxylic acid cycle. Although a few studies have examined the relationship between cuproptosis-related genes (CRGs) and breast cancer prognosis, reports on estrogen receptor-positive (ER+) breast cancer are...

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Main Authors: Yu Fan, Chuanxu Luo, Yu Wang, Zhu Wang, Chengshi Wang, Xiaorong Zhong, Kejia Hu, Yanping Wang, Donghao Lu, Hong Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1111480/full
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author Yu Fan
Chuanxu Luo
Yu Wang
Zhu Wang
Chengshi Wang
Xiaorong Zhong
Kejia Hu
Yanping Wang
Donghao Lu
Donghao Lu
Hong Zheng
author_facet Yu Fan
Chuanxu Luo
Yu Wang
Zhu Wang
Chengshi Wang
Xiaorong Zhong
Kejia Hu
Yanping Wang
Donghao Lu
Donghao Lu
Hong Zheng
author_sort Yu Fan
collection DOAJ
description IntroductionExcess copper induces cell death by binding to lipoylated components of the tricarboxylic acid cycle. Although a few studies have examined the relationship between cuproptosis-related genes (CRGs) and breast cancer prognosis, reports on estrogen receptor-positive (ER+) breast cancer are lacking. Herein, we aimed to analyze the relationship between CRGs and outcomes in patients with ER+ early breast cancer (EBC).MethodsWe conducted a case-control study among patients with ER+ EBC presenting poor and favorable invasive disease-free survival (iDFS) at West China Hospital. Logistic regression analysis was performed to establish the association between CRG expression and iDFS. A cohort study was performed using pooled data from three publicly available microarray datasets in the Gene Expression Omnibus database. Subsequently, we constructed a CRG score model and a nomogram to predict relapse-free survival (RFS). Finally, the prediction performance of the two models was verified using training and validation sets.ResultsIn this case-control study, high expression of LIAS, LIPT1, and ATP7B and low CDKN2A expression were associated with favorable iDFS. In the cohort study, high expression of FDX1, LIAS, LIPT1, DLD, PDHB, and ATP7B and low CDKN2A expression were associated with favorable RFS. Using LASSO-Cox analysis, a CRG score was developed using the seven identified CRGs. Patients in the low CRG score group had a reduced risk of relapse in both training and validation sets. The nomogram included the CRG score, lymph node status, and age. The area under the receiver operating characteristic (ROC) curve (AUC) of the nomogram was significantly higher than the AUC of the CRG score at 7 years.ConclusionsThe CRG score, combined with other clinical features, could afford a practical long-term outcome predictor in patients with ER+ EBC.
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spelling doaj.art-8988395e56144acc9f1faa0126efd4ed2023-05-12T06:22:56ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-05-011310.3389/fonc.2023.11114801111480A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancerYu Fan0Chuanxu Luo1Yu Wang2Zhu Wang3Chengshi Wang4Xiaorong Zhong5Kejia Hu6Yanping Wang7Donghao Lu8Donghao Lu9Hong Zheng10Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, ChinaBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, ChinaBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, ChinaInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, SwedenBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, ChinaIntroductionExcess copper induces cell death by binding to lipoylated components of the tricarboxylic acid cycle. Although a few studies have examined the relationship between cuproptosis-related genes (CRGs) and breast cancer prognosis, reports on estrogen receptor-positive (ER+) breast cancer are lacking. Herein, we aimed to analyze the relationship between CRGs and outcomes in patients with ER+ early breast cancer (EBC).MethodsWe conducted a case-control study among patients with ER+ EBC presenting poor and favorable invasive disease-free survival (iDFS) at West China Hospital. Logistic regression analysis was performed to establish the association between CRG expression and iDFS. A cohort study was performed using pooled data from three publicly available microarray datasets in the Gene Expression Omnibus database. Subsequently, we constructed a CRG score model and a nomogram to predict relapse-free survival (RFS). Finally, the prediction performance of the two models was verified using training and validation sets.ResultsIn this case-control study, high expression of LIAS, LIPT1, and ATP7B and low CDKN2A expression were associated with favorable iDFS. In the cohort study, high expression of FDX1, LIAS, LIPT1, DLD, PDHB, and ATP7B and low CDKN2A expression were associated with favorable RFS. Using LASSO-Cox analysis, a CRG score was developed using the seven identified CRGs. Patients in the low CRG score group had a reduced risk of relapse in both training and validation sets. The nomogram included the CRG score, lymph node status, and age. The area under the receiver operating characteristic (ROC) curve (AUC) of the nomogram was significantly higher than the AUC of the CRG score at 7 years.ConclusionsThe CRG score, combined with other clinical features, could afford a practical long-term outcome predictor in patients with ER+ EBC.https://www.frontiersin.org/articles/10.3389/fonc.2023.1111480/fullbreast cancercuproptosis-related genesnomogramER positiveRFS
spellingShingle Yu Fan
Chuanxu Luo
Yu Wang
Zhu Wang
Chengshi Wang
Xiaorong Zhong
Kejia Hu
Yanping Wang
Donghao Lu
Donghao Lu
Hong Zheng
A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer
Frontiers in Oncology
breast cancer
cuproptosis-related genes
nomogram
ER positive
RFS
title A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer
title_full A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer
title_fullStr A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer
title_full_unstemmed A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer
title_short A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer
title_sort nomogram based on cuproptosis related genes predicts 7 year relapse free survival in patients with estrogen receptor positive early breast cancer
topic breast cancer
cuproptosis-related genes
nomogram
ER positive
RFS
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1111480/full
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