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A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study

Purpose: We developed a nomogram to predict the possibility of lymph node metastasis in patients with squamous cell carcinoma of the penis. Methods: Identifying patients with squamous cell carcinoma of the penis diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER...

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Autores principales: Zhang, Wei, Gao, Pan, Gao, Jingjing, Wu, Xu, Liu, Guodong, Zhang, Xiansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985344/
https://www.ncbi.nlm.nih.gov/pubmed/33768001
http://dx.doi.org/10.3389/fonc.2021.640036
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author Zhang, Wei
Gao, Pan
Gao, Jingjing
Wu, Xu
Liu, Guodong
Zhang, Xiansheng
author_facet Zhang, Wei
Gao, Pan
Gao, Jingjing
Wu, Xu
Liu, Guodong
Zhang, Xiansheng
author_sort Zhang, Wei
collection PubMed
description Purpose: We developed a nomogram to predict the possibility of lymph node metastasis in patients with squamous cell carcinoma of the penis. Methods: Identifying patients with squamous cell carcinoma of the penis diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate analyses were carried out by logistic regression to assess significant predictors associated with lymph node metastasis. A nomogram was established and validated by a calibration plot and receptor operating characteristic curve (ROC) analysis. Results: A total of 1,016 patients with penile squamous cell carcinoma (SCCP) were enrolled in this study. One hundred and ninety-five patients (19%) had lymph node involvement (N1-3). Multivariate analysis showed that age, primary tumor site, grade, tumor size, and T stage were identified as being significantly (p < 0.05) associated with lymph node involvement. All the above factors that showed a statistically significant predictive capability were selected for building the nomogram. This model had a calibration slope of 0.9 and a c-index of 0.776, indicating the good discrimination and effectiveness of the nomogram in predicting lymph node status. Conclusion: Although the prediction model has some limitations, the nomogram revealed the relationship between the clinicopathological characteristics of SCCP patients and the risk of lymph node metastasis. This tool will assist patients in counseling and guide treatment decisions for SCCP patients.
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spelling pubmed-79853442021-03-24 A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study Zhang, Wei Gao, Pan Gao, Jingjing Wu, Xu Liu, Guodong Zhang, Xiansheng Front Oncol Oncology Purpose: We developed a nomogram to predict the possibility of lymph node metastasis in patients with squamous cell carcinoma of the penis. Methods: Identifying patients with squamous cell carcinoma of the penis diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate analyses were carried out by logistic regression to assess significant predictors associated with lymph node metastasis. A nomogram was established and validated by a calibration plot and receptor operating characteristic curve (ROC) analysis. Results: A total of 1,016 patients with penile squamous cell carcinoma (SCCP) were enrolled in this study. One hundred and ninety-five patients (19%) had lymph node involvement (N1-3). Multivariate analysis showed that age, primary tumor site, grade, tumor size, and T stage were identified as being significantly (p < 0.05) associated with lymph node involvement. All the above factors that showed a statistically significant predictive capability were selected for building the nomogram. This model had a calibration slope of 0.9 and a c-index of 0.776, indicating the good discrimination and effectiveness of the nomogram in predicting lymph node status. Conclusion: Although the prediction model has some limitations, the nomogram revealed the relationship between the clinicopathological characteristics of SCCP patients and the risk of lymph node metastasis. This tool will assist patients in counseling and guide treatment decisions for SCCP patients. Frontiers Media S.A. 2021-03-09 /pmc/articles/PMC7985344/ /pubmed/33768001 http://dx.doi.org/10.3389/fonc.2021.640036 Text en Copyright © 2021 Zhang, Gao, Gao, Wu, Liu and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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 Oncology
Zhang, Wei
Gao, Pan
Gao, Jingjing
Wu, Xu
Liu, Guodong
Zhang, Xiansheng
A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study
title A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study
title_full A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study
title_fullStr A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study
title_full_unstemmed A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study
title_short A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study
title_sort clinical nomogram for predicting lymph node metastasis in penile cancer: a seer-based study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985344/
https://www.ncbi.nlm.nih.gov/pubmed/33768001
http://dx.doi.org/10.3389/fonc.2021.640036
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