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Focus on patients with early esophageal cancer—a prognostic nomogram
BACKGROUND: Esophageal cancer is a common cancer of the digestive system, with high morbidity and poor prognosis. However, while the prognosis of early esophageal cancer is relatively good, there is no effective model to accurately predict the prognosis of early esophageal cancer. The Aims of this s...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797496/ https://www.ncbi.nlm.nih.gov/pubmed/35117347 http://dx.doi.org/10.21037/tcr-19-1645 |
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author | Cheng, Zhiyuan Zhang, Zifan Lin, Han Meng, Qianqian Xin, Lei Wang, Tianjiao Wang, Wei Wang, Luowei |
author_facet | Cheng, Zhiyuan Zhang, Zifan Lin, Han Meng, Qianqian Xin, Lei Wang, Tianjiao Wang, Wei Wang, Luowei |
author_sort | Cheng, Zhiyuan |
collection | PubMed |
description | BACKGROUND: Esophageal cancer is a common cancer of the digestive system, with high morbidity and poor prognosis. However, while the prognosis of early esophageal cancer is relatively good, there is no effective model to accurately predict the prognosis of early esophageal cancer. The Aims of this study are to explore risk factors for the prognosis of early esophageal cancer and to establish a prediction nomogram for patients. METHODS: Surveillance, Epidemiology and End Results (SEER) Stat 8.3.5 was used to collect 2,351 cases of early esophageal cancer from 2004 to 2015 in the SEER database. Early esophageal cancer is defined as a lesion that is confined to the lamina propria and the muscularis mucosa. Prognostic factors were analyzed with the log-rank method and a Cox proportional hazard model by SPSS (v25.0). Independent prognostic factors were used to construct a nomogram with a Cox proportional hazard model. The C-index was used to evaluate the prediction effect of the nomogram. The internal validity of the nomogram was tested by discrimination and calibration using a bootstrap method with 1,000 resamplings. RESULTS: The median survival time was 30 months, and the 1-, 3-, and 5-year survival rates were 65.2%, 46.8%, and 41.6%, respectively. The male to female ratio was 3:1, and 85.33% of all patients were white. Univariate analysis showed that risk factors affecting patient prognosis included age (χ(2)=430.631, P<0.001), sex (χ(2)=48.1, P<0.001), marital status (χ(2)=107.597, P<0.001), race (χ(2)=58.928, P<0.001), primary site (χ(2)=98.675, P<0.001), tumor grade (χ(2)=116.421, P<0.001), surgery (χ(2)=1,259.33, P<0.001) and histologic type (χ(2)=231.062, P<0.001). Using multivariate analysis, we found that age (HR=1.787, 95% CI: 1.58–2.03), marital status (HR=0.774, 95% CI: 0.69–0.87), tumor grade (HR=1.241, 95% CI: 1.14–135), and surgery (HR=0.356, 95% CI: 0.33–0.39) were independent prognostic factors for patients with early esophageal cancer. We constructed the nomogram with the above independent factors, and the C-index value was 0.788. CONCLUSIONS: This study obtained the latest epidemiological information on early esophageal cancer and determined that age, marital status, tumor grade and surgery were independent prognostic factors for early esophageal cancer. The nomogram developed with these factors could provide good prognosis prediction. |
format | Online Article Text |
id | pubmed-8797496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-87974962022-02-02 Focus on patients with early esophageal cancer—a prognostic nomogram Cheng, Zhiyuan Zhang, Zifan Lin, Han Meng, Qianqian Xin, Lei Wang, Tianjiao Wang, Wei Wang, Luowei Transl Cancer Res Original Article BACKGROUND: Esophageal cancer is a common cancer of the digestive system, with high morbidity and poor prognosis. However, while the prognosis of early esophageal cancer is relatively good, there is no effective model to accurately predict the prognosis of early esophageal cancer. The Aims of this study are to explore risk factors for the prognosis of early esophageal cancer and to establish a prediction nomogram for patients. METHODS: Surveillance, Epidemiology and End Results (SEER) Stat 8.3.5 was used to collect 2,351 cases of early esophageal cancer from 2004 to 2015 in the SEER database. Early esophageal cancer is defined as a lesion that is confined to the lamina propria and the muscularis mucosa. Prognostic factors were analyzed with the log-rank method and a Cox proportional hazard model by SPSS (v25.0). Independent prognostic factors were used to construct a nomogram with a Cox proportional hazard model. The C-index was used to evaluate the prediction effect of the nomogram. The internal validity of the nomogram was tested by discrimination and calibration using a bootstrap method with 1,000 resamplings. RESULTS: The median survival time was 30 months, and the 1-, 3-, and 5-year survival rates were 65.2%, 46.8%, and 41.6%, respectively. The male to female ratio was 3:1, and 85.33% of all patients were white. Univariate analysis showed that risk factors affecting patient prognosis included age (χ(2)=430.631, P<0.001), sex (χ(2)=48.1, P<0.001), marital status (χ(2)=107.597, P<0.001), race (χ(2)=58.928, P<0.001), primary site (χ(2)=98.675, P<0.001), tumor grade (χ(2)=116.421, P<0.001), surgery (χ(2)=1,259.33, P<0.001) and histologic type (χ(2)=231.062, P<0.001). Using multivariate analysis, we found that age (HR=1.787, 95% CI: 1.58–2.03), marital status (HR=0.774, 95% CI: 0.69–0.87), tumor grade (HR=1.241, 95% CI: 1.14–135), and surgery (HR=0.356, 95% CI: 0.33–0.39) were independent prognostic factors for patients with early esophageal cancer. We constructed the nomogram with the above independent factors, and the C-index value was 0.788. CONCLUSIONS: This study obtained the latest epidemiological information on early esophageal cancer and determined that age, marital status, tumor grade and surgery were independent prognostic factors for early esophageal cancer. The nomogram developed with these factors could provide good prognosis prediction. AME Publishing Company 2020-12 /pmc/articles/PMC8797496/ /pubmed/35117347 http://dx.doi.org/10.21037/tcr-19-1645 Text en 2020 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 Zhang, Zifan Lin, Han Meng, Qianqian Xin, Lei Wang, Tianjiao Wang, Wei Wang, Luowei Focus on patients with early esophageal cancer—a prognostic nomogram |
title | Focus on patients with early esophageal cancer—a prognostic nomogram |
title_full | Focus on patients with early esophageal cancer—a prognostic nomogram |
title_fullStr | Focus on patients with early esophageal cancer—a prognostic nomogram |
title_full_unstemmed | Focus on patients with early esophageal cancer—a prognostic nomogram |
title_short | Focus on patients with early esophageal cancer—a prognostic nomogram |
title_sort | focus on patients with early esophageal cancer—a prognostic nomogram |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797496/ https://www.ncbi.nlm.nih.gov/pubmed/35117347 http://dx.doi.org/10.21037/tcr-19-1645 |
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