Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer

Background: Altered copper levels have been observed in several cancers, but studies on the relationship between serum copper and early-stage triple-negative breast cancer (TNBC) remain scare. We sought to establish a predictive model incorporating serum copper levels for individualized survival pre...

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Autores principales: Fangfang Duan, Jianpei Li, Jiajia Huang, Xin Hua, Chenge Song, Li Wang, Xiwen Bi, Wen Xia, Zhongyu Yuan
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:0ee6769d6d3a42c4b4dd566364602f4b2021-12-01T02:44:51ZEstablishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer2296-634X10.3389/fcell.2021.770115https://doaj.org/article/0ee6769d6d3a42c4b4dd566364602f4b2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.770115/fullhttps://doaj.org/toc/2296-634XBackground: Altered copper levels have been observed in several cancers, but studies on the relationship between serum copper and early-stage triple-negative breast cancer (TNBC) remain scare. We sought to establish a predictive model incorporating serum copper levels for individualized survival predictions.Methods: We retrospectively analyzed clinicopathological information and baseline peripheric blood samples of patients diagnosed with early-stage TNBC between September 2005 and October 2016 at Sun Yat-sen University Cancer Center. The optimal cut-off point of serum copper level was determined using maximally selected log-rank statistics. Kaplan-Meier curves were used to estimate survival probabilities. Independent prognostic indicators associated with survival were identified using multivariate Cox regression analysis, and subsequently, prognostic nomograms were established to predict individualized disease-free survival (DFS) and overall survival (OS). The nomograms were validated in a separate cohort of 86 patients from the original randomized clinical trial SYSUCC-001 (SYSUCC-001 cohort).Results: 350 patients were eligible in this study, including 264 in the training cohort and 86 in the SYSUCC-001 cohort. An optimal cut-off value of 21.3 μmol/L of serum copper was determined to maximally divide patients into low- and high-copper groups. After a median follow-up of 87.1 months, patients with high copper levels had significantly worse DFS (p = 0.002) and OS (p < 0.001) than those with low copper levels in the training cohort. Multivariate Cox regression analysis revealed that serum copper level was an independent factor for DFS and OS. Further, prognostic models based on serum copper were established for individualized predictions. These models showed excellent discrimination [C-index for DFS: 0.689, 95% confidence interval (CI): 0.621–0.757; C-index for OS: 0.728, 95% CI: 0.654–0.802] and predictive calibration, and were validated in the SYSUCC-001 cohort.Conclusion: Serum copper level is a potential predictive biomarker for patients with early-stage TNBC. Predictive nomograms based on serum copper might be served as a practical tool for individualized prognostication.Fangfang DuanJianpei LiJiajia HuangXin HuaChenge SongLi WangXiwen BiWen XiaZhongyu YuanFrontiers Media S.A.articleserum copper levelearly-stage triple-negative breast cancerprognostic nomogramsmaximally selected log-rank statisticssurvivalBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution DOAJ
collection DOAJ
language EN
topic serum copper level
early-stage triple-negative breast cancer
prognostic nomograms
maximally selected log-rank statistics
survival
Biology (General)
QH301-705.5
spellingShingle serum copper level
early-stage triple-negative breast cancer
prognostic nomograms
maximally selected log-rank statistics
survival
Biology (General)
QH301-705.5
Fangfang Duan
Jianpei Li
Jiajia Huang
Xin Hua
Chenge Song
Li Wang
Xiwen Bi
Wen Xia
Zhongyu Yuan
Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
description Background: Altered copper levels have been observed in several cancers, but studies on the relationship between serum copper and early-stage triple-negative breast cancer (TNBC) remain scare. We sought to establish a predictive model incorporating serum copper levels for individualized survival predictions.Methods: We retrospectively analyzed clinicopathological information and baseline peripheric blood samples of patients diagnosed with early-stage TNBC between September 2005 and October 2016 at Sun Yat-sen University Cancer Center. The optimal cut-off point of serum copper level was determined using maximally selected log-rank statistics. Kaplan-Meier curves were used to estimate survival probabilities. Independent prognostic indicators associated with survival were identified using multivariate Cox regression analysis, and subsequently, prognostic nomograms were established to predict individualized disease-free survival (DFS) and overall survival (OS). The nomograms were validated in a separate cohort of 86 patients from the original randomized clinical trial SYSUCC-001 (SYSUCC-001 cohort).Results: 350 patients were eligible in this study, including 264 in the training cohort and 86 in the SYSUCC-001 cohort. An optimal cut-off value of 21.3 μmol/L of serum copper was determined to maximally divide patients into low- and high-copper groups. After a median follow-up of 87.1 months, patients with high copper levels had significantly worse DFS (p = 0.002) and OS (p < 0.001) than those with low copper levels in the training cohort. Multivariate Cox regression analysis revealed that serum copper level was an independent factor for DFS and OS. Further, prognostic models based on serum copper were established for individualized predictions. These models showed excellent discrimination [C-index for DFS: 0.689, 95% confidence interval (CI): 0.621–0.757; C-index for OS: 0.728, 95% CI: 0.654–0.802] and predictive calibration, and were validated in the SYSUCC-001 cohort.Conclusion: Serum copper level is a potential predictive biomarker for patients with early-stage TNBC. Predictive nomograms based on serum copper might be served as a practical tool for individualized prognostication.
format article
author Fangfang Duan
Jianpei Li
Jiajia Huang
Xin Hua
Chenge Song
Li Wang
Xiwen Bi
Wen Xia
Zhongyu Yuan
author_facet Fangfang Duan
Jianpei Li
Jiajia Huang
Xin Hua
Chenge Song
Li Wang
Xiwen Bi
Wen Xia
Zhongyu Yuan
author_sort Fangfang Duan
title Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
title_short Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
title_full Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
title_fullStr Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
title_full_unstemmed Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
title_sort establishment and validation of prognostic nomograms based on serum copper level for patients with early-stage triple-negative breast cancer
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/0ee6769d6d3a42c4b4dd566364602f4b
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