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Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma
PURPOSE: Eyelid sebaceous gland carcinoma (SGC) is a malignancy with fatal risk, high recurrence rate, and pagetoid spread. Thus, recurrence risk prediction and prompt treatment are extremely important. This study aimed to develop a nomogram to predict SGC recurrence based on potential risk factors....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417194/ https://www.ncbi.nlm.nih.gov/pubmed/37387455 http://dx.doi.org/10.1002/cam4.6126 |
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author | Nie, Zihan Geng, Jialu Xu, Xiaolin Zhang, Ruiheng Li, Dongmei |
author_facet | Nie, Zihan Geng, Jialu Xu, Xiaolin Zhang, Ruiheng Li, Dongmei |
author_sort | Nie, Zihan |
collection | PubMed |
description | PURPOSE: Eyelid sebaceous gland carcinoma (SGC) is a malignancy with fatal risk, high recurrence rate, and pagetoid spread. Thus, recurrence risk prediction and prompt treatment are extremely important. This study aimed to develop a nomogram to predict SGC recurrence based on potential risk factors. METHODS: We conducted a retrospective study to train and test a nomogram based on the clinical data of 391 patients across our hospital (304) and other grass‐roots hospitals (87). After Cox regression, predictors included in the nomogram were selected, and sensitivity, specificity, concordance index (C‐index), etc., were calculated to test their discrimination ability. RESULTS: After a median follow‐up period of 4.12 years, SGC recurred in 52 (17.11%) patients. The 1‐, 2‐, and 5‐year recurrence‐free survival rates were 88.3%, 85.4%, and 81.6%, respectively. We examined five risk factors, such as lymph node metastasis at initial diagnosis (hazard ratio [HR], 2.260; 95% confidence interval [CI], 1.021–5.007), Ki67 (HR, 1.036; 95% CI, 1.020–1.052), histology differentiation degree (HR, 2.274; 95% CI, 1.063–4.865), conjunctival pagetoid infiltration (HR, 2.100; 95% CI, 1.0058–4.167), and orbital involvement (HR, 4.764; 95% CI, 1.436–15.803). The model had good discrimination in both internal and external test sets. The model had good discrimination in both internal and external test sets. The sensitivity of the internal test and external test set were 0.722 and 0.806, respectively, and specificity of the internal test and external test set were 0.886 and 0.893, respectively. CONCLUSION: We examined the potential risk factors for eyelid SGC recurrence and constructed a nomogram, which complements the TNM system in terms of prediction, indicating that our nomogram has the potential to reach clinical significance. This nomogram has the potential to assist healthcare practitioners in promptly detecting patients who are at an elevated risk and in tailoring clinical interventions to meet their individualized needs. |
format | Online Article Text |
id | pubmed-10417194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104171942023-08-12 Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma Nie, Zihan Geng, Jialu Xu, Xiaolin Zhang, Ruiheng Li, Dongmei Cancer Med RESEARCH ARTICLES PURPOSE: Eyelid sebaceous gland carcinoma (SGC) is a malignancy with fatal risk, high recurrence rate, and pagetoid spread. Thus, recurrence risk prediction and prompt treatment are extremely important. This study aimed to develop a nomogram to predict SGC recurrence based on potential risk factors. METHODS: We conducted a retrospective study to train and test a nomogram based on the clinical data of 391 patients across our hospital (304) and other grass‐roots hospitals (87). After Cox regression, predictors included in the nomogram were selected, and sensitivity, specificity, concordance index (C‐index), etc., were calculated to test their discrimination ability. RESULTS: After a median follow‐up period of 4.12 years, SGC recurred in 52 (17.11%) patients. The 1‐, 2‐, and 5‐year recurrence‐free survival rates were 88.3%, 85.4%, and 81.6%, respectively. We examined five risk factors, such as lymph node metastasis at initial diagnosis (hazard ratio [HR], 2.260; 95% confidence interval [CI], 1.021–5.007), Ki67 (HR, 1.036; 95% CI, 1.020–1.052), histology differentiation degree (HR, 2.274; 95% CI, 1.063–4.865), conjunctival pagetoid infiltration (HR, 2.100; 95% CI, 1.0058–4.167), and orbital involvement (HR, 4.764; 95% CI, 1.436–15.803). The model had good discrimination in both internal and external test sets. The model had good discrimination in both internal and external test sets. The sensitivity of the internal test and external test set were 0.722 and 0.806, respectively, and specificity of the internal test and external test set were 0.886 and 0.893, respectively. CONCLUSION: We examined the potential risk factors for eyelid SGC recurrence and constructed a nomogram, which complements the TNM system in terms of prediction, indicating that our nomogram has the potential to reach clinical significance. This nomogram has the potential to assist healthcare practitioners in promptly detecting patients who are at an elevated risk and in tailoring clinical interventions to meet their individualized needs. John Wiley and Sons Inc. 2023-06-30 /pmc/articles/PMC10417194/ /pubmed/37387455 http://dx.doi.org/10.1002/cam4.6126 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Nie, Zihan Geng, Jialu Xu, Xiaolin Zhang, Ruiheng Li, Dongmei Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
title | Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
title_full | Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
title_fullStr | Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
title_full_unstemmed | Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
title_short | Development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
title_sort | development and validation of a nomogram to predict the recurrence of eyelid sebaceous gland carcinoma |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417194/ https://www.ncbi.nlm.nih.gov/pubmed/37387455 http://dx.doi.org/10.1002/cam4.6126 |
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