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)...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.640036/full |
| _version_ | 1819143537160093696 |
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| author | Wei Zhang Pan Gao Jingjing Gao Xu Wu Guodong Liu Xiansheng Zhang |
| author_facet | Wei Zhang Pan Gao Jingjing Gao Xu Wu Guodong Liu Xiansheng Zhang |
| author_sort | Wei Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T12:27:49Z |
| format | Article |
| id | doaj.art-cc868ef68a9844bd8257ec6ef4239ddc |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-22T12:27:49Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-cc868ef68a9844bd8257ec6ef4239ddc2022-12-21T18:25:45ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-03-011110.3389/fonc.2021.640036640036A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based StudyWei ZhangPan GaoJingjing GaoXu WuGuodong LiuXiansheng ZhangPurpose: 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.https://www.frontiersin.org/articles/10.3389/fonc.2021.640036/fullpenis (MeSH)carcinomasquamous celllymph nodesnomograms |
| spellingShingle | Wei Zhang Pan Gao Jingjing Gao Xu Wu Guodong Liu Xiansheng Zhang A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study Frontiers in Oncology penis (MeSH) carcinoma squamous cell lymph nodes nomograms |
| 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 | penis (MeSH) carcinoma squamous cell lymph nodes nomograms |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2021.640036/full |
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