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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Guozheng, Zhao, Jiyun, Zhang, Xingda, Ma, Xin, Li, Hui, Chen, Yihai, Zhang, Lei, Zhang, Xin, Wu, Jiale, Wang, Xinheng, Zhang, Yan, Xu, Shouping
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