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Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research
BACKGROUND: To investigate the prognostic survival factors of breast squamous cell carcinoma (BSqCC) and develop a comprehensive nomogram for predicting the survival of breast cancer squamous cell carcinoma. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) data...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797311/ https://www.ncbi.nlm.nih.gov/pubmed/35116950 http://dx.doi.org/10.21037/tcr.2019.09.13 |
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author | Cheng, Zhiyuan Han, Tao Zhang, Xiaotian Li, Xizhou Li, Hengyu Gu, Jia |
author_facet | Cheng, Zhiyuan Han, Tao Zhang, Xiaotian Li, Xizhou Li, Hengyu Gu, Jia |
author_sort | Cheng, Zhiyuan |
collection | PubMed |
description | BACKGROUND: To investigate the prognostic survival factors of breast squamous cell carcinoma (BSqCC) and develop a comprehensive nomogram for predicting the survival of breast cancer squamous cell carcinoma. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database to identify patients diagnosed with BSqCC from 1973 to 2015. The data was obtained using SEER Stat 8.3.4 software, collated, and analyzed by Excel 2016 software and SPSS (v25.0). Kaplan-Meier curves were used for survival analysis. The variables obtained by univariate analysis were introduced into the Cox proportional hazard model for multivariate analysis. The risk factors affecting the prognosis of BSqCC were obtained. P<0.05 was considered statistically significant. The independent prognostic factors of BSqCC were integrated and used to construct nomograms. RESULTS: A total of 739 patients with BSqCC was included. The median age of diagnosis was 66 years. In most cases, the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) was negative. One-third of the cases underwent breast-conserving surgery, and more than half of the cases underwent mastectomy (unilateral or bilateral). The 1-year survival rate was 81.2%, the 3-year survival rate was 62.9%, the 5-year survival rate was 54.4%, and the 10-year survival rate was 41.4%. Age (χ(2)=71.050, P<0.001), marital status (χ(2)=37.560, P<0.001), tumor size (χ(2)=27.931, P<0.001), surgical procedure (χ(2)=74.185, P<0.001), the number of positive lymph nodes (χ(2)=38.542, P<0.001), and the primary site (χ(2)=59.217, P<0.001) were significantly correlated with patient survival time. Among them, marital status (HR: 0.502, 95% CI: 0.318–0.794), age (HR: 2.186, 95% CI: 1.234–3.875), surgical procedure (HR: 1.03, 95% CI: 1.01–1.051), tumor size (HR: 1.505, 95% CI: 1.083–2.091) and the number of positive lymph nodes (HR: 1.277, 95% CI: 1.087–1.499) were independent risk factors for the survival of BSqCC. Five independent prognostic factors were then integrated for the construction of nomograms. CONCLUSIONS: BSqCC was a malignant tumor with a low survival rate. Age of onset was typically at an older age; mostly middle-aged and seniors. Marital status, age, surgical procedure, tumor size, and several positive lymph nodes were independent predictors of patient survival. At the same time, we developed a prognostic nomogram with excellent discrimination for breast cancer squamous cell carcinoma; therefore, it could help clinicians make decisions on a personal basis. |
format | Online Article Text |
id | pubmed-8797311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-87973112022-02-02 Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research Cheng, Zhiyuan Han, Tao Zhang, Xiaotian Li, Xizhou Li, Hengyu Gu, Jia Transl Cancer Res Original Article BACKGROUND: To investigate the prognostic survival factors of breast squamous cell carcinoma (BSqCC) and develop a comprehensive nomogram for predicting the survival of breast cancer squamous cell carcinoma. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database to identify patients diagnosed with BSqCC from 1973 to 2015. The data was obtained using SEER Stat 8.3.4 software, collated, and analyzed by Excel 2016 software and SPSS (v25.0). Kaplan-Meier curves were used for survival analysis. The variables obtained by univariate analysis were introduced into the Cox proportional hazard model for multivariate analysis. The risk factors affecting the prognosis of BSqCC were obtained. P<0.05 was considered statistically significant. The independent prognostic factors of BSqCC were integrated and used to construct nomograms. RESULTS: A total of 739 patients with BSqCC was included. The median age of diagnosis was 66 years. In most cases, the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) was negative. One-third of the cases underwent breast-conserving surgery, and more than half of the cases underwent mastectomy (unilateral or bilateral). The 1-year survival rate was 81.2%, the 3-year survival rate was 62.9%, the 5-year survival rate was 54.4%, and the 10-year survival rate was 41.4%. Age (χ(2)=71.050, P<0.001), marital status (χ(2)=37.560, P<0.001), tumor size (χ(2)=27.931, P<0.001), surgical procedure (χ(2)=74.185, P<0.001), the number of positive lymph nodes (χ(2)=38.542, P<0.001), and the primary site (χ(2)=59.217, P<0.001) were significantly correlated with patient survival time. Among them, marital status (HR: 0.502, 95% CI: 0.318–0.794), age (HR: 2.186, 95% CI: 1.234–3.875), surgical procedure (HR: 1.03, 95% CI: 1.01–1.051), tumor size (HR: 1.505, 95% CI: 1.083–2.091) and the number of positive lymph nodes (HR: 1.277, 95% CI: 1.087–1.499) were independent risk factors for the survival of BSqCC. Five independent prognostic factors were then integrated for the construction of nomograms. CONCLUSIONS: BSqCC was a malignant tumor with a low survival rate. Age of onset was typically at an older age; mostly middle-aged and seniors. Marital status, age, surgical procedure, tumor size, and several positive lymph nodes were independent predictors of patient survival. At the same time, we developed a prognostic nomogram with excellent discrimination for breast cancer squamous cell carcinoma; therefore, it could help clinicians make decisions on a personal basis. AME Publishing Company 2019-09 /pmc/articles/PMC8797311/ /pubmed/35116950 http://dx.doi.org/10.21037/tcr.2019.09.13 Text en 2019 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/. |
spellingShingle | Original Article Cheng, Zhiyuan Han, Tao Zhang, Xiaotian Li, Xizhou Li, Hengyu Gu, Jia Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
title | Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
title_full | Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
title_fullStr | Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
title_full_unstemmed | Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
title_short | Prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
title_sort | prognostic factors for breast cancer squamous cell carcinoma and nomogram development for prediction: population-based research |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797311/ https://www.ncbi.nlm.nih.gov/pubmed/35116950 http://dx.doi.org/10.21037/tcr.2019.09.13 |
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