Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Zhiyuan, Han, Tao, Zhang, Xiaotian, Li, Xizhou, Li, Hengyu, Gu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2019
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
_version_ 1784641520085762048
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
work_keys_str_mv AT chengzhiyuan prognosticfactorsforbreastcancersquamouscellcarcinomaandnomogramdevelopmentforpredictionpopulationbasedresearch
AT hantao prognosticfactorsforbreastcancersquamouscellcarcinomaandnomogramdevelopmentforpredictionpopulationbasedresearch
AT zhangxiaotian prognosticfactorsforbreastcancersquamouscellcarcinomaandnomogramdevelopmentforpredictionpopulationbasedresearch
AT lixizhou prognosticfactorsforbreastcancersquamouscellcarcinomaandnomogramdevelopmentforpredictionpopulationbasedresearch
AT lihengyu prognosticfactorsforbreastcancersquamouscellcarcinomaandnomogramdevelopmentforpredictionpopulationbasedresearch
AT gujia prognosticfactorsforbreastcancersquamouscellcarcinomaandnomogramdevelopmentforpredictionpopulationbasedresearch