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Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis
PURPOSE: The prognosis of patients with metastatic breast cancer usually varies greatly among individuals. At present, the application of nomogram is very popular in metastatic tumors. The present study was conducted to identify independent survival predictors and construct nomograms among young wom...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039285/ https://www.ncbi.nlm.nih.gov/pubmed/35492327 http://dx.doi.org/10.3389/fmed.2022.840024 |
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author | Wang, Zhan Shao, Haiyu Xu, Qiang Wang, Yongguang Ma, Yaojing Diaty, Diarra Mohamed Zhang, Jiahao Ye, Zhaoming |
author_facet | Wang, Zhan Shao, Haiyu Xu, Qiang Wang, Yongguang Ma, Yaojing Diaty, Diarra Mohamed Zhang, Jiahao Ye, Zhaoming |
author_sort | Wang, Zhan |
collection | PubMed |
description | PURPOSE: The prognosis of patients with metastatic breast cancer usually varies greatly among individuals. At present, the application of nomogram is very popular in metastatic tumors. The present study was conducted to identify independent survival predictors and construct nomograms among young women with breast cancer bone metastasis (BCBM). PATIENTS AND METHODS: We searched the Surveillance, Epidemiology, and End Results (SEER) database to identify young women diagnosed with BCBM between 2010 and 2016. We first analyzed the potential risk factors of overall survival (OS) and cancer-specific survival (CSS) by applying univariate Cox regression analysis. Then we conducted multivariate Cox analysis to identify independent survival predictors. Based on significant independent predictors, we developed and validated novel prognostic nomograms by using the R version 4.1.0 software. RESULTS: We finally identified 715 eligible young women with BCBM for survival analysis, of which 358 patients were in the training set, and 357 patients in the validation set. Approximately four-fifths of patients are between 31 and 40 years old. The 5-year OS and CSS rates of this research population were 41.9 and 43.3%, respectively. Multivariate analysis revealed seven independent predictors of both OS and CSS, including race, tumor subtype, tumor size, surgical treatment, brain metastasis, liver metastasis, and lung metastasis. Based on these predictors, we developed and validated OS and CSS nomograms. The C-index of the OS nomogram reached 0.728 and 0.73 in the training and validation sets, respectively. The C-index of the CSS nomogram reached 0.743 and 0.695 in the training and validation sets, respectively. Meanwhile, high quality calibration plots were revealed in both OS and CSS nomograms. CONCLUSION: The current novel nomograms can provide an individualized survival evaluation of young women with BCBM and instruct clinicians to treat them appropriately. |
format | Online Article Text |
id | pubmed-9039285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90392852022-04-27 Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis Wang, Zhan Shao, Haiyu Xu, Qiang Wang, Yongguang Ma, Yaojing Diaty, Diarra Mohamed Zhang, Jiahao Ye, Zhaoming Front Med (Lausanne) Medicine PURPOSE: The prognosis of patients with metastatic breast cancer usually varies greatly among individuals. At present, the application of nomogram is very popular in metastatic tumors. The present study was conducted to identify independent survival predictors and construct nomograms among young women with breast cancer bone metastasis (BCBM). PATIENTS AND METHODS: We searched the Surveillance, Epidemiology, and End Results (SEER) database to identify young women diagnosed with BCBM between 2010 and 2016. We first analyzed the potential risk factors of overall survival (OS) and cancer-specific survival (CSS) by applying univariate Cox regression analysis. Then we conducted multivariate Cox analysis to identify independent survival predictors. Based on significant independent predictors, we developed and validated novel prognostic nomograms by using the R version 4.1.0 software. RESULTS: We finally identified 715 eligible young women with BCBM for survival analysis, of which 358 patients were in the training set, and 357 patients in the validation set. Approximately four-fifths of patients are between 31 and 40 years old. The 5-year OS and CSS rates of this research population were 41.9 and 43.3%, respectively. Multivariate analysis revealed seven independent predictors of both OS and CSS, including race, tumor subtype, tumor size, surgical treatment, brain metastasis, liver metastasis, and lung metastasis. Based on these predictors, we developed and validated OS and CSS nomograms. The C-index of the OS nomogram reached 0.728 and 0.73 in the training and validation sets, respectively. The C-index of the CSS nomogram reached 0.743 and 0.695 in the training and validation sets, respectively. Meanwhile, high quality calibration plots were revealed in both OS and CSS nomograms. CONCLUSION: The current novel nomograms can provide an individualized survival evaluation of young women with BCBM and instruct clinicians to treat them appropriately. Frontiers Media S.A. 2022-04-12 /pmc/articles/PMC9039285/ /pubmed/35492327 http://dx.doi.org/10.3389/fmed.2022.840024 Text en Copyright © 2022 Wang, Shao, Xu, Wang, Ma, Diaty, Zhang and Ye. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Wang, Zhan Shao, Haiyu Xu, Qiang Wang, Yongguang Ma, Yaojing Diaty, Diarra Mohamed Zhang, Jiahao Ye, Zhaoming Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis |
title | Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis |
title_full | Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis |
title_fullStr | Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis |
title_full_unstemmed | Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis |
title_short | Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis |
title_sort | establishment and verification of prognostic nomograms for young women with breast cancer bone metastasis |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039285/ https://www.ncbi.nlm.nih.gov/pubmed/35492327 http://dx.doi.org/10.3389/fmed.2022.840024 |
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