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Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer
BACKGROUND: Metaplastic breast cancer (MBC) is a rare breast tumor and the prognostic factors for survival in patients still remain controversial. This study aims to develop and validate a nomogram to predict the overall survival (OS) of patients with MBC. METHODS: We searched the Surveillance, Epid...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018193/ https://www.ncbi.nlm.nih.gov/pubmed/36937402 http://dx.doi.org/10.3389/fonc.2023.1030124 |
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author | Zheng, Caihong Fu, Chengbin Wen, Yahui Liu, Jiameng Lin, Shunguo Han, Hui Han, Zhonghua Xu, Chunsen |
author_facet | Zheng, Caihong Fu, Chengbin Wen, Yahui Liu, Jiameng Lin, Shunguo Han, Hui Han, Zhonghua Xu, Chunsen |
author_sort | Zheng, Caihong |
collection | PubMed |
description | BACKGROUND: Metaplastic breast cancer (MBC) is a rare breast tumor and the prognostic factors for survival in patients still remain controversial. This study aims to develop and validate a nomogram to predict the overall survival (OS) of patients with MBC. METHODS: We searched the Surveillance, Epidemiology, and End Results (SEER) database for data about patients including metaplastic breast cancer and infiltrating ductal carcinoma (IDC) from 2010 to 2018. The survival outcomes of patients between MBC and IDC were analyzed and compared with the Kaplan-Meier (KM) method. MBC patients were randomly allocated to the training set and validation I set by a ratio of eight to two. Meanwhile, the performance of this model was validated again by the validation II set, which consisted of MBC patients from the Union Hospital of Fujian Medical University between 2010 and 2018. The independent prognostic factors were selected by univariate and multivariate Cox regression analyses. The nomogram was constructed to predict individual survival outcomes for MBC patients. The discriminative power, calibration, and clinical effectiveness of the nomogram were evaluated by the concordance index (C-index), the receiver operating characteristic (ROC) curve, and the decision curve analysis (DCA). RESULTS: MBC had a significantly higher T stage (T2 and above accounting for 75.1% vs 39.9%), fewer infiltrated lymph nodes (N0 accounted for 76.2% vs 67.7%), a lower proportion of ER (22.2% vs 81.2%), PR (13.6% vs 71.4%), and HER-2(6.7% vs 17.7%) positive, radiotherapy(51.6% vs 58.0%) but more chemotherapy(67.5% vs 44.7%), and a higher rate of mastectomy(53.2% vs 36.8%), which was discovered when comparing the clinical baseline data between MBC and IDC. Age at diagnosis, T, N, and M stage, as well as surgery and radiation treatment, were all significant independent prognostic factors for overall survival (OS). In the validation I cohort, the nomogram’s C-index (0.769 95% CI 0.710 -0.828) was indicated to be considerably higher than the standard AJCC model’s (0.700 95% CI 0.644 -0.756). Nomogram’s great predictive capability capacity further was supported by the comparatively high C-index of the validation II sets (0.728 95%CI 0.588-0.869). CONCLUSIONS: Metaplastic breast cancer is more aggressive, with a worse clinical prognosis than IDC. This nomogram is recommended for patients with MBC, both American and Chinese, which can help clinicians make more accurate individualized survival analyses. |
format | Online Article Text |
id | pubmed-10018193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100181932023-03-17 Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer Zheng, Caihong Fu, Chengbin Wen, Yahui Liu, Jiameng Lin, Shunguo Han, Hui Han, Zhonghua Xu, Chunsen Front Oncol Oncology BACKGROUND: Metaplastic breast cancer (MBC) is a rare breast tumor and the prognostic factors for survival in patients still remain controversial. This study aims to develop and validate a nomogram to predict the overall survival (OS) of patients with MBC. METHODS: We searched the Surveillance, Epidemiology, and End Results (SEER) database for data about patients including metaplastic breast cancer and infiltrating ductal carcinoma (IDC) from 2010 to 2018. The survival outcomes of patients between MBC and IDC were analyzed and compared with the Kaplan-Meier (KM) method. MBC patients were randomly allocated to the training set and validation I set by a ratio of eight to two. Meanwhile, the performance of this model was validated again by the validation II set, which consisted of MBC patients from the Union Hospital of Fujian Medical University between 2010 and 2018. The independent prognostic factors were selected by univariate and multivariate Cox regression analyses. The nomogram was constructed to predict individual survival outcomes for MBC patients. The discriminative power, calibration, and clinical effectiveness of the nomogram were evaluated by the concordance index (C-index), the receiver operating characteristic (ROC) curve, and the decision curve analysis (DCA). RESULTS: MBC had a significantly higher T stage (T2 and above accounting for 75.1% vs 39.9%), fewer infiltrated lymph nodes (N0 accounted for 76.2% vs 67.7%), a lower proportion of ER (22.2% vs 81.2%), PR (13.6% vs 71.4%), and HER-2(6.7% vs 17.7%) positive, radiotherapy(51.6% vs 58.0%) but more chemotherapy(67.5% vs 44.7%), and a higher rate of mastectomy(53.2% vs 36.8%), which was discovered when comparing the clinical baseline data between MBC and IDC. Age at diagnosis, T, N, and M stage, as well as surgery and radiation treatment, were all significant independent prognostic factors for overall survival (OS). In the validation I cohort, the nomogram’s C-index (0.769 95% CI 0.710 -0.828) was indicated to be considerably higher than the standard AJCC model’s (0.700 95% CI 0.644 -0.756). Nomogram’s great predictive capability capacity further was supported by the comparatively high C-index of the validation II sets (0.728 95%CI 0.588-0.869). CONCLUSIONS: Metaplastic breast cancer is more aggressive, with a worse clinical prognosis than IDC. This nomogram is recommended for patients with MBC, both American and Chinese, which can help clinicians make more accurate individualized survival analyses. Frontiers Media S.A. 2023-03-02 /pmc/articles/PMC10018193/ /pubmed/36937402 http://dx.doi.org/10.3389/fonc.2023.1030124 Text en Copyright © 2023 Zheng, Fu, Wen, Liu, Lin, Han, Han and Xu 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 | Oncology Zheng, Caihong Fu, Chengbin Wen, Yahui Liu, Jiameng Lin, Shunguo Han, Hui Han, Zhonghua Xu, Chunsen Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
title | Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
title_full | Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
title_fullStr | Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
title_full_unstemmed | Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
title_short | Clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
title_sort | clinical characteristics and overall survival prognostic nomogram for metaplastic breast cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018193/ https://www.ncbi.nlm.nih.gov/pubmed/36937402 http://dx.doi.org/10.3389/fonc.2023.1030124 |
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