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Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database

BACKGROUND: Lymphovascular invasion (LVI) is a high-risk factor for testicular germ-cell tumors (TGCT), but a prognostic model for TGCT-LVI patients is lacking. This study aimed to develop a nomogram for predicting the overall survival (OS) of TGCT-LVI patients. METHODS: A complete cohort of 3288 el...

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Autores principales: Ke, Hu, Jiang, Shengming, He, Ziqi, Song, Qianlin, Yang, Dashuai, Song, Chao, Dong, Caitao, Liu, Junwei, Su, Xiaozhe, Zhou, Jiawei, Xiong, Yunhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020199/
https://www.ncbi.nlm.nih.gov/pubmed/36937437
http://dx.doi.org/10.3389/fonc.2023.1142441
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author Ke, Hu
Jiang, Shengming
He, Ziqi
Song, Qianlin
Yang, Dashuai
Song, Chao
Dong, Caitao
Liu, Junwei
Su, Xiaozhe
Zhou, Jiawei
Xiong, Yunhe
author_facet Ke, Hu
Jiang, Shengming
He, Ziqi
Song, Qianlin
Yang, Dashuai
Song, Chao
Dong, Caitao
Liu, Junwei
Su, Xiaozhe
Zhou, Jiawei
Xiong, Yunhe
author_sort Ke, Hu
collection PubMed
description BACKGROUND: Lymphovascular invasion (LVI) is a high-risk factor for testicular germ-cell tumors (TGCT), but a prognostic model for TGCT-LVI patients is lacking. This study aimed to develop a nomogram for predicting the overall survival (OS) of TGCT-LVI patients. METHODS: A complete cohort of 3288 eligible TGCG-LVI patients (training cohort, 2300 cases; validation cohort, 988 cases) were obtained from the Surveillance, Epidemiology, and End Results database. Variables screened by multivariate Cox regression analysis were used to construct a nomogram, which was subsequently evaluated using the consistency index (C-index), time-dependent receiver operating characteristic curve (ROC), and calibration plots. The advantages and disadvantages of the American Joint Committee on Cancer (AJCC) staging system and the nomogram were assessed by integrated discrimination improvement (IDI) and net reclassification improvement (NRI). Decision-analysis curve (DCA) was used to measure the net clinical benefit of the nomogram versus the AJCC staging system. Finally, Kaplan–Meier curves were used to evaluate the ability to identify different risk groups between the traditional AJCC staging system and the new risk-stratification system built on the nomogram. RESULTS: Nine variables were screened by multivariate Cox regression analysis to construct the nomogram. The C-index (training cohort, 0.821; validation cohort, 0.819) and time-dependent ROC of 3-, 5-, and 9-year OS between the two cohorts suggested that the nomogram had good discriminatory ability. Calibration curves showed good consistency of the nomogram. The NRI values of 3-, 5-, and 9-year OS were 0.308, 0.274, and 0.295, respectively, and the corresponding values for the validation cohort were 0.093, 0.093, and 0.099, respectively (P<0.01). Additionally, the nomogram had more net clinical benefit as shown by the DCA curves, and the new risk-stratification system provided better differentiation than the AJCC staging system. CONCLUSIONS: A prognostic nomogram and new risk-stratification system were developed and validated to assist clinicians in assessing TGCT-LVI patients.
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spelling pubmed-100201992023-03-18 Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database Ke, Hu Jiang, Shengming He, Ziqi Song, Qianlin Yang, Dashuai Song, Chao Dong, Caitao Liu, Junwei Su, Xiaozhe Zhou, Jiawei Xiong, Yunhe Front Oncol Oncology BACKGROUND: Lymphovascular invasion (LVI) is a high-risk factor for testicular germ-cell tumors (TGCT), but a prognostic model for TGCT-LVI patients is lacking. This study aimed to develop a nomogram for predicting the overall survival (OS) of TGCT-LVI patients. METHODS: A complete cohort of 3288 eligible TGCG-LVI patients (training cohort, 2300 cases; validation cohort, 988 cases) were obtained from the Surveillance, Epidemiology, and End Results database. Variables screened by multivariate Cox regression analysis were used to construct a nomogram, which was subsequently evaluated using the consistency index (C-index), time-dependent receiver operating characteristic curve (ROC), and calibration plots. The advantages and disadvantages of the American Joint Committee on Cancer (AJCC) staging system and the nomogram were assessed by integrated discrimination improvement (IDI) and net reclassification improvement (NRI). Decision-analysis curve (DCA) was used to measure the net clinical benefit of the nomogram versus the AJCC staging system. Finally, Kaplan–Meier curves were used to evaluate the ability to identify different risk groups between the traditional AJCC staging system and the new risk-stratification system built on the nomogram. RESULTS: Nine variables were screened by multivariate Cox regression analysis to construct the nomogram. The C-index (training cohort, 0.821; validation cohort, 0.819) and time-dependent ROC of 3-, 5-, and 9-year OS between the two cohorts suggested that the nomogram had good discriminatory ability. Calibration curves showed good consistency of the nomogram. The NRI values of 3-, 5-, and 9-year OS were 0.308, 0.274, and 0.295, respectively, and the corresponding values for the validation cohort were 0.093, 0.093, and 0.099, respectively (P<0.01). Additionally, the nomogram had more net clinical benefit as shown by the DCA curves, and the new risk-stratification system provided better differentiation than the AJCC staging system. CONCLUSIONS: A prognostic nomogram and new risk-stratification system were developed and validated to assist clinicians in assessing TGCT-LVI patients. Frontiers Media S.A. 2023-03-03 /pmc/articles/PMC10020199/ /pubmed/36937437 http://dx.doi.org/10.3389/fonc.2023.1142441 Text en Copyright © 2023 Ke, Jiang, He, Song, Yang, Song, Dong, Liu, Su, Zhou and Xiong 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). 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
Ke, Hu
Jiang, Shengming
He, Ziqi
Song, Qianlin
Yang, Dashuai
Song, Chao
Dong, Caitao
Liu, Junwei
Su, Xiaozhe
Zhou, Jiawei
Xiong, Yunhe
Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database
title Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database
title_full Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database
title_fullStr Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database
title_full_unstemmed Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database
title_short Clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: Analysis based on the SEER database
title_sort clinical features and prognostic factors in patients diagnosed with lymphovascular invasion of testicular germ-cell tumors: analysis based on the seer database
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020199/
https://www.ncbi.nlm.nih.gov/pubmed/36937437
http://dx.doi.org/10.3389/fonc.2023.1142441
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