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Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study

The present study aimed to develop two nomograms in order to predict cancer-specific survival (CSS) and overall survival (OS) of patients with anal carcinoma receiving definitive chemoradiotherapy. Data from studies including patients with anal carcinoma, who were determined to be positive histologi...

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Autores principales: Wu, Yinhang, Han, Xiaoyang, Li, Yan, Zhu, Kunli, Yu, Jinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960384/
https://www.ncbi.nlm.nih.gov/pubmed/32002033
http://dx.doi.org/10.3892/ol.2019.11238
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author Wu, Yinhang
Han, Xiaoyang
Li, Yan
Zhu, Kunli
Yu, Jinming
author_facet Wu, Yinhang
Han, Xiaoyang
Li, Yan
Zhu, Kunli
Yu, Jinming
author_sort Wu, Yinhang
collection PubMed
description The present study aimed to develop two nomograms in order to predict cancer-specific survival (CSS) and overall survival (OS) of patients with anal carcinoma receiving definitive chemoradiotherapy. Data from studies including patients with anal carcinoma, who were determined to be positive histologically and diagnosed between 2004 and 2010, were obtained from the Surveillance, Epidemiology, and End Results database. Significant prognostic factors for CSS and OS of patients were screened to develop nomograms through univariate and multivariate analyses. Nomograms were validated using internal and external data. The predictive abilities of the generated models were evaluated by concordance index (C-index) and calibration curves. Risk stratification was performed for patients with the same TNM stage. A total of 1,473 patients and six independent prognostic factors for CSS and OS, namely age, sex, ethnicity, marital status at diagnosis, T stage and N stage, were included in the nomogram calculations. Calibration curves demonstrated that nomogram prediction was in high accordance with actual observation. The C-indices of nomograms were greater than those of models based on the sixth edition of the American Joint Committee on Cancer TNM staging system for CSS prediction (training cohort, 0.72 vs. 0.70; validation cohort, 0.68 vs. 0.62) and OS (training cohort, 0.70 vs. 0.66; validation cohort, 0.68 vs. 0.62). Survival curves demonstrated significant survival differences among the different risk groups. Nomograms were more accurate than the conventional TNM staging system in prognosis prediction. In addition, survival performances of patients with the same TNM stage could be further distinguished by risk stratification, which provided individualized prediction for patients. These survival prediction methods may aid clinicians in patient counseling and in selecting more individualized therapeutic strategies.
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spelling pubmed-69603842020-01-30 Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study Wu, Yinhang Han, Xiaoyang Li, Yan Zhu, Kunli Yu, Jinming Oncol Lett Articles The present study aimed to develop two nomograms in order to predict cancer-specific survival (CSS) and overall survival (OS) of patients with anal carcinoma receiving definitive chemoradiotherapy. Data from studies including patients with anal carcinoma, who were determined to be positive histologically and diagnosed between 2004 and 2010, were obtained from the Surveillance, Epidemiology, and End Results database. Significant prognostic factors for CSS and OS of patients were screened to develop nomograms through univariate and multivariate analyses. Nomograms were validated using internal and external data. The predictive abilities of the generated models were evaluated by concordance index (C-index) and calibration curves. Risk stratification was performed for patients with the same TNM stage. A total of 1,473 patients and six independent prognostic factors for CSS and OS, namely age, sex, ethnicity, marital status at diagnosis, T stage and N stage, were included in the nomogram calculations. Calibration curves demonstrated that nomogram prediction was in high accordance with actual observation. The C-indices of nomograms were greater than those of models based on the sixth edition of the American Joint Committee on Cancer TNM staging system for CSS prediction (training cohort, 0.72 vs. 0.70; validation cohort, 0.68 vs. 0.62) and OS (training cohort, 0.70 vs. 0.66; validation cohort, 0.68 vs. 0.62). Survival curves demonstrated significant survival differences among the different risk groups. Nomograms were more accurate than the conventional TNM staging system in prognosis prediction. In addition, survival performances of patients with the same TNM stage could be further distinguished by risk stratification, which provided individualized prediction for patients. These survival prediction methods may aid clinicians in patient counseling and in selecting more individualized therapeutic strategies. D.A. Spandidos 2020-02 2019-12-23 /pmc/articles/PMC6960384/ /pubmed/32002033 http://dx.doi.org/10.3892/ol.2019.11238 Text en Copyright: © Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wu, Yinhang
Han, Xiaoyang
Li, Yan
Zhu, Kunli
Yu, Jinming
Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study
title Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study
title_full Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study
title_fullStr Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study
title_full_unstemmed Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study
title_short Survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: A population-based study
title_sort survival prediction models for patients with anal carcinoma receiving definitive chemoradiation: a population-based study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960384/
https://www.ncbi.nlm.nih.gov/pubmed/32002033
http://dx.doi.org/10.3892/ol.2019.11238
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