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A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer
BACKGROUND: Axillary lymph node dissection (ALND) could be omitted for T1-2 breast cancer patients with 1-2 positive sentinel lymph node (SLN) after breast-conserving surgery when radiation is planned. However, whether ALND could be replaced by radiation in patients with 1-3 positive SLNs when no mo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354643/ https://www.ncbi.nlm.nih.gov/pubmed/37476497 http://dx.doi.org/10.3389/fendo.2023.1121394 |
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author | Xiang, Ke Chen, Jialin Min, Yu Chen, Hang Yang, Jiaxin Hu, Daixing Han, Yuling Yin, Guobing Feng, Yang |
author_facet | Xiang, Ke Chen, Jialin Min, Yu Chen, Hang Yang, Jiaxin Hu, Daixing Han, Yuling Yin, Guobing Feng, Yang |
author_sort | Xiang, Ke |
collection | PubMed |
description | BACKGROUND: Axillary lymph node dissection (ALND) could be omitted for T1-2 breast cancer patients with 1-2 positive sentinel lymph node (SLN) after breast-conserving surgery when radiation is planned. However, whether ALND could be replaced by radiation in patients with 1-3 positive SLNs when no more non-SLN metastasis were observed after mastectomy are still controversial. The aim of our study was to develop and validate a nomogram for predicting the possibility of non-SLN metastasis in T1–2 and hormone receptor (HR) positive breast cancer patients with 1-3 positive SLNs after mastectomy. METHODS: We retrospectively reviewed and analyzed the data including the basic information, preoperative sonographic characteristics, and pathological features in breast cancer patients with 1-3 positive SLNs in our medical center between Jan 2016 and Dec 2021. The Chi-square, Fisher’s exact test, and t test were used for comparison of categorical and qualitative variables among patients with or without non-SLN metastasis. Univariate and multivariate logistic regression were used to determine the risk factors for non-SLN metastasis. These predictors were used to build the nomogram. The C-index and area under the receiver operating characteristic curve (AUC) was calculated to assess the accuracy of the model. RESULTS: A total of 49 in 107 (45.8%) patients were identified with non-SLN metastasis. In multivariate analysis, four variables including younger age, lower estrogen receptor (ER) expression, higher histological score, and cortex thickening of the lymph nodes were determined to be significantly associated with non-SLN metastasis. An individualized nomogram was consequently established with a favorable C-index of 0.822 and verified via two internal validation cohorts. CONCLUSIONS: The current study developed a nomogram predicting non-SLN metastasis for T1–2 and HR+ breast cancer with 1–3 positive SLNs after mastectomy and found that patients in the high-risk group exhibited worse relapse-free survival. The novel nomogram may further help surgeons to determine whether ALND could be omitted when 1-3 positive SLNs were observed in T1–2 and HR+ breast cancer patients. |
format | Online Article Text |
id | pubmed-10354643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103546432023-07-20 A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer Xiang, Ke Chen, Jialin Min, Yu Chen, Hang Yang, Jiaxin Hu, Daixing Han, Yuling Yin, Guobing Feng, Yang Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Axillary lymph node dissection (ALND) could be omitted for T1-2 breast cancer patients with 1-2 positive sentinel lymph node (SLN) after breast-conserving surgery when radiation is planned. However, whether ALND could be replaced by radiation in patients with 1-3 positive SLNs when no more non-SLN metastasis were observed after mastectomy are still controversial. The aim of our study was to develop and validate a nomogram for predicting the possibility of non-SLN metastasis in T1–2 and hormone receptor (HR) positive breast cancer patients with 1-3 positive SLNs after mastectomy. METHODS: We retrospectively reviewed and analyzed the data including the basic information, preoperative sonographic characteristics, and pathological features in breast cancer patients with 1-3 positive SLNs in our medical center between Jan 2016 and Dec 2021. The Chi-square, Fisher’s exact test, and t test were used for comparison of categorical and qualitative variables among patients with or without non-SLN metastasis. Univariate and multivariate logistic regression were used to determine the risk factors for non-SLN metastasis. These predictors were used to build the nomogram. The C-index and area under the receiver operating characteristic curve (AUC) was calculated to assess the accuracy of the model. RESULTS: A total of 49 in 107 (45.8%) patients were identified with non-SLN metastasis. In multivariate analysis, four variables including younger age, lower estrogen receptor (ER) expression, higher histological score, and cortex thickening of the lymph nodes were determined to be significantly associated with non-SLN metastasis. An individualized nomogram was consequently established with a favorable C-index of 0.822 and verified via two internal validation cohorts. CONCLUSIONS: The current study developed a nomogram predicting non-SLN metastasis for T1–2 and HR+ breast cancer with 1–3 positive SLNs after mastectomy and found that patients in the high-risk group exhibited worse relapse-free survival. The novel nomogram may further help surgeons to determine whether ALND could be omitted when 1-3 positive SLNs were observed in T1–2 and HR+ breast cancer patients. Frontiers Media S.A. 2023-07-05 /pmc/articles/PMC10354643/ /pubmed/37476497 http://dx.doi.org/10.3389/fendo.2023.1121394 Text en Copyright © 2023 Xiang, Chen, Min, Chen, Yang, Hu, Han, Yin and Feng 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 | Endocrinology Xiang, Ke Chen, Jialin Min, Yu Chen, Hang Yang, Jiaxin Hu, Daixing Han, Yuling Yin, Guobing Feng, Yang A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer |
title | A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer |
title_full | A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer |
title_fullStr | A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer |
title_full_unstemmed | A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer |
title_short | A multi-dimensional nomogram to predict non-sentinel lymph node metastases in T1–2HR+ breast cancer |
title_sort | multi-dimensional nomogram to predict non-sentinel lymph node metastases in t1–2hr+ breast cancer |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354643/ https://www.ncbi.nlm.nih.gov/pubmed/37476497 http://dx.doi.org/10.3389/fendo.2023.1121394 |
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