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Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study

BACKGROUND: Sentinel lymph node biopsy (SLNB) has been recommended as a replacement for axillary lymph node dissection (ALND) in male breast carcinoma (MBC) with clinical axillary lymph node-negative (ALN-negative) as in the case of female. However, the morbidity after SLNB may also have short-term...

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Autores principales: Chen, Wenxin, Wang, Hebing, Yang, Binglin, Zhang, Maoquan, Chen, Jicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174993/
https://www.ncbi.nlm.nih.gov/pubmed/37180658
http://dx.doi.org/10.21037/tcr-22-2516
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author Chen, Wenxin
Wang, Hebing
Yang, Binglin
Zhang, Maoquan
Chen, Jicheng
author_facet Chen, Wenxin
Wang, Hebing
Yang, Binglin
Zhang, Maoquan
Chen, Jicheng
author_sort Chen, Wenxin
collection PubMed
description BACKGROUND: Sentinel lymph node biopsy (SLNB) has been recommended as a replacement for axillary lymph node dissection (ALND) in male breast carcinoma (MBC) with clinical axillary lymph node-negative (ALN-negative) as in the case of female. However, the morbidity after SLNB may also have short-term or long-term complications. To avoid unnecessary surgery, building a model which is able to assess the risk of lymph node metastasis is vitally significant. METHODS: A retrospective review of the clinical and pathology data were carried out for patients diagnosed with MBC between 2010 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. The cohort was divided into training and validation cohorts. A logistic regression model was used to construct the nomogram in the training cohort and then verified in the validation cohort. The receiver operating characteristic (ROC) curve, C-index, and calibration were used to evaluate the predictive ability of the nomogram. RESULTS: Overall, 2,610 patients diagnosed with MBC were included in the study, of which 1,740 were in the training cohort and 870 were in the validation cohort. Logistic regression analysis indicated age at diagnosis, tumor location, tumor stage, pathological type, and histologic grade, were significantly related to axillary lymph node metastasis (ALNM). The area under the curve (AUC) of the nomogram was 0.846 (95% CI: 0.825–0.867) and C-index was 0.848 (95% CI: 0.807–0.889), demonstrating a notable prediction performance. The calibration curve for the nomogram was plotted and the slope was close to 1. The prognostic value of the nomogram was further validated in the validation cohort, with an AUC of 0.848 (95% CI: 0.819–0.877). CONCLUSIONS: A nomogram to predict ALNM was successfully established, especially for those who were of advanced age at diagnosis, had small tumor size, displayed low malignancy, and showed clinical ALN-negative, to avoid unnecessary axillary operation. The quality of life for patients is enhanced without conceding the overall survival rate.
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spelling pubmed-101749932023-05-12 Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study Chen, Wenxin Wang, Hebing Yang, Binglin Zhang, Maoquan Chen, Jicheng Transl Cancer Res Original Article BACKGROUND: Sentinel lymph node biopsy (SLNB) has been recommended as a replacement for axillary lymph node dissection (ALND) in male breast carcinoma (MBC) with clinical axillary lymph node-negative (ALN-negative) as in the case of female. However, the morbidity after SLNB may also have short-term or long-term complications. To avoid unnecessary surgery, building a model which is able to assess the risk of lymph node metastasis is vitally significant. METHODS: A retrospective review of the clinical and pathology data were carried out for patients diagnosed with MBC between 2010 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. The cohort was divided into training and validation cohorts. A logistic regression model was used to construct the nomogram in the training cohort and then verified in the validation cohort. The receiver operating characteristic (ROC) curve, C-index, and calibration were used to evaluate the predictive ability of the nomogram. RESULTS: Overall, 2,610 patients diagnosed with MBC were included in the study, of which 1,740 were in the training cohort and 870 were in the validation cohort. Logistic regression analysis indicated age at diagnosis, tumor location, tumor stage, pathological type, and histologic grade, were significantly related to axillary lymph node metastasis (ALNM). The area under the curve (AUC) of the nomogram was 0.846 (95% CI: 0.825–0.867) and C-index was 0.848 (95% CI: 0.807–0.889), demonstrating a notable prediction performance. The calibration curve for the nomogram was plotted and the slope was close to 1. The prognostic value of the nomogram was further validated in the validation cohort, with an AUC of 0.848 (95% CI: 0.819–0.877). CONCLUSIONS: A nomogram to predict ALNM was successfully established, especially for those who were of advanced age at diagnosis, had small tumor size, displayed low malignancy, and showed clinical ALN-negative, to avoid unnecessary axillary operation. The quality of life for patients is enhanced without conceding the overall survival rate. AME Publishing Company 2023-04-04 2023-04-28 /pmc/articles/PMC10174993/ /pubmed/37180658 http://dx.doi.org/10.21037/tcr-22-2516 Text en 2023 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chen, Wenxin
Wang, Hebing
Yang, Binglin
Zhang, Maoquan
Chen, Jicheng
Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study
title Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study
title_full Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study
title_fullStr Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study
title_full_unstemmed Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study
title_short Nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a SEER population-based study
title_sort nomogram for predicting preoperative axillary lymph node status in male breast carcinoma: a seer population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174993/
https://www.ncbi.nlm.nih.gov/pubmed/37180658
http://dx.doi.org/10.21037/tcr-22-2516
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