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A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER

BACKGROUND: Lung metastasis (LM) is an independent risk factor for survival in patients with endometrial cancer (EC). METHODS: We reviewed data on patients diagnosed with EC between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. The independent predictors of LM i...

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Autores principales: Yuan, Yufei, Wang, Ruoran, Zhang, Yidan, Yang, Yang, Zhao, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334744/
https://www.ncbi.nlm.nih.gov/pubmed/35910482
http://dx.doi.org/10.3389/fsurg.2022.855314
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author Yuan, Yufei
Wang, Ruoran
Zhang, Yidan
Yang, Yang
Zhao, Jing
author_facet Yuan, Yufei
Wang, Ruoran
Zhang, Yidan
Yang, Yang
Zhao, Jing
author_sort Yuan, Yufei
collection PubMed
description BACKGROUND: Lung metastasis (LM) is an independent risk factor for survival in patients with endometrial cancer (EC). METHODS: We reviewed data on patients diagnosed with EC between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. The independent predictors of LM in patients with EC were identified using univariate and multivariate logistic regression analyses. A nomogram for predicting LM in patients with EC was developed, and the predictive model was evaluated using calibration and receiver operating characteristic (ROC) curves. RESULTS: Univariate and multivariate logistic regression analyses showed that high grade; specific histological type; high tumor and node stages; larger tumor size; and liver, brain, and bone metastases were positively associated with LM risk. A new nomogram was developed by combining these factors to predict LM in patients newly diagnosed with EC. Internal and external verification of the calibration charts showed that the nomogram was well calibrated. The areas under the ROC curves for the training and validation cohorts were 0.924 and 0.913, respectively. CONCLUSION: We performed a retrospective analysis of 42,073 patients with EC using the SEER database, established a new nomogram for predicting LM based on eight independent risk factors, and visualized the model using a nomogram for the first time.
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spelling pubmed-93347442022-07-30 A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER Yuan, Yufei Wang, Ruoran Zhang, Yidan Yang, Yang Zhao, Jing Front Surg Surgery BACKGROUND: Lung metastasis (LM) is an independent risk factor for survival in patients with endometrial cancer (EC). METHODS: We reviewed data on patients diagnosed with EC between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. The independent predictors of LM in patients with EC were identified using univariate and multivariate logistic regression analyses. A nomogram for predicting LM in patients with EC was developed, and the predictive model was evaluated using calibration and receiver operating characteristic (ROC) curves. RESULTS: Univariate and multivariate logistic regression analyses showed that high grade; specific histological type; high tumor and node stages; larger tumor size; and liver, brain, and bone metastases were positively associated with LM risk. A new nomogram was developed by combining these factors to predict LM in patients newly diagnosed with EC. Internal and external verification of the calibration charts showed that the nomogram was well calibrated. The areas under the ROC curves for the training and validation cohorts were 0.924 and 0.913, respectively. CONCLUSION: We performed a retrospective analysis of 42,073 patients with EC using the SEER database, established a new nomogram for predicting LM based on eight independent risk factors, and visualized the model using a nomogram for the first time. Frontiers Media S.A. 2022-07-15 /pmc/articles/PMC9334744/ /pubmed/35910482 http://dx.doi.org/10.3389/fsurg.2022.855314 Text en © 2022 Yuan, Wang, Zhang, Yang and Zhao. 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) (https://creativecommons.org/licenses/by/4.0/) . 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 Surgery
Yuan, Yufei
Wang, Ruoran
Zhang, Yidan
Yang, Yang
Zhao, Jing
A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER
title A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER
title_full A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER
title_fullStr A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER
title_full_unstemmed A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER
title_short A new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: A study based on SEER
title_sort new nomogram for predicting lung metastasis in newly diagnosed endometrial carcinoma patients: a study based on seer
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334744/
https://www.ncbi.nlm.nih.gov/pubmed/35910482
http://dx.doi.org/10.3389/fsurg.2022.855314
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