Cargando…
Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study
BACKGROUND AND OBJECTIVE: Sentinel lymph node biopsy (SLNB) is used to assess the status of axillary lymph node (ALN), but it causes many adverse reactions. Considering the low rate of sentinel lymph node (SLN) metastasis in T1 breast cancer, this study aims to identify the characteristics of T1 bre...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273897/ https://www.ncbi.nlm.nih.gov/pubmed/35836596 http://dx.doi.org/10.3389/fsurg.2022.890554 |
_version_ | 1784745178926415872 |
---|---|
author | Li, Guozheng Zhao, Jiyun Zhang, Xingda Ma, Xin Li, Hui Chen, Yihai Zhang, Lei Zhang, Xin Wu, Jiale Wang, Xinheng Zhang, Yan Xu, Shouping |
author_facet | Li, Guozheng Zhao, Jiyun Zhang, Xingda Ma, Xin Li, Hui Chen, Yihai Zhang, Lei Zhang, Xin Wu, Jiale Wang, Xinheng Zhang, Yan Xu, Shouping |
author_sort | Li, Guozheng |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Sentinel lymph node biopsy (SLNB) is used to assess the status of axillary lymph node (ALN), but it causes many adverse reactions. Considering the low rate of sentinel lymph node (SLN) metastasis in T1 breast cancer, this study aims to identify the characteristics of T1 breast cancer without SLN metastasis and to select T1 breast cancer patients who avoid SLNB through constructing a nomogram. METHODS: A total of 1,619 T1 breast cancer patients with SLNB in our hospital were enrolled in this study. Through univariate and multivariate logistic regression analysis, we analyzed the tumor anatomical and clinicopathological factors and constructed the Heilongjiang Medical University (HMU) nomogram. We selected the patients exempt from SLNB by using the nomogram. RESULTS: In the training cohort of 1,000 cases, the SLN metastasis rate was 23.8%. Tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes were found to be independent predictors for SLN metastasis in multivariate regression analysis. Distance from nipple or surface and position of tumor have no effect on SLN metastasis. A regression model based on the results of the multivariate analysis was developed to predict the risk of SLN metastasis, indicating an AUC of 0.798. It showed excellent diagnostic performance (AUC = 0.773) in the validation cohort. CONCLUSION: The HMU nomogram for predicting SLN metastasis incorporates four variables, including tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes. The SLN metastasis rates of intraductal carcinoma and HER2 enriched are 2.05% and 6.67%. These patients could be included in trials investigating the SLNB exemption. |
format | Online Article Text |
id | pubmed-9273897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92738972022-07-13 Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study Li, Guozheng Zhao, Jiyun Zhang, Xingda Ma, Xin Li, Hui Chen, Yihai Zhang, Lei Zhang, Xin Wu, Jiale Wang, Xinheng Zhang, Yan Xu, Shouping Front Surg Surgery BACKGROUND AND OBJECTIVE: Sentinel lymph node biopsy (SLNB) is used to assess the status of axillary lymph node (ALN), but it causes many adverse reactions. Considering the low rate of sentinel lymph node (SLN) metastasis in T1 breast cancer, this study aims to identify the characteristics of T1 breast cancer without SLN metastasis and to select T1 breast cancer patients who avoid SLNB through constructing a nomogram. METHODS: A total of 1,619 T1 breast cancer patients with SLNB in our hospital were enrolled in this study. Through univariate and multivariate logistic regression analysis, we analyzed the tumor anatomical and clinicopathological factors and constructed the Heilongjiang Medical University (HMU) nomogram. We selected the patients exempt from SLNB by using the nomogram. RESULTS: In the training cohort of 1,000 cases, the SLN metastasis rate was 23.8%. Tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes were found to be independent predictors for SLN metastasis in multivariate regression analysis. Distance from nipple or surface and position of tumor have no effect on SLN metastasis. A regression model based on the results of the multivariate analysis was developed to predict the risk of SLN metastasis, indicating an AUC of 0.798. It showed excellent diagnostic performance (AUC = 0.773) in the validation cohort. CONCLUSION: The HMU nomogram for predicting SLN metastasis incorporates four variables, including tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes. The SLN metastasis rates of intraductal carcinoma and HER2 enriched are 2.05% and 6.67%. These patients could be included in trials investigating the SLNB exemption. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9273897/ /pubmed/35836596 http://dx.doi.org/10.3389/fsurg.2022.890554 Text en Copyright © 2022 Li, Zhao, Zhang, Ma, Li, Chen, Zhang, Zhang, Wu, Wang, Zhang and Xu. 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) (https://creativecommons.org/licenses/by/4.0/) . 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 | Surgery Li, Guozheng Zhao, Jiyun Zhang, Xingda Ma, Xin Li, Hui Chen, Yihai Zhang, Lei Zhang, Xin Wu, Jiale Wang, Xinheng Zhang, Yan Xu, Shouping Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study |
title | Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study |
title_full | Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study |
title_fullStr | Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study |
title_full_unstemmed | Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study |
title_short | Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study |
title_sort | toward exempting from sentinel lymph node biopsy in t1 breast cancer patients: a retrospective study |
topic | Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273897/ https://www.ncbi.nlm.nih.gov/pubmed/35836596 http://dx.doi.org/10.3389/fsurg.2022.890554 |
work_keys_str_mv | AT liguozheng towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT zhaojiyun towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT zhangxingda towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT maxin towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT lihui towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT chenyihai towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT zhanglei towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT zhangxin towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT wujiale towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT wangxinheng towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT zhangyan towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy AT xushouping towardexemptingfromsentinellymphnodebiopsyint1breastcancerpatientsaretrospectivestudy |