Literature DB >> 31519397

Predictors of non-sentinel lymph node metastasis in clinical early stage (cT1-2N0) breast cancer patients with 1-2 metastatic sentinel lymph nodes.

Azmi Lale1, Mesut Yur2, Halit Özgül3, Ertuğrul Gazi Alkurt4, Nilgün Yıldırım5, Erhan Aygen6, Abdullah Bahadır Öz7, Türkmen Bahadır Arıkan8.   

Abstract

OBJECTIVE: The purpose of this study was to determine the risk factors that caused non-sentinel lymph nodes (nonSLNs) metastasis by considering the clinicopathological characteristics of patients who have 1-2 sentinel lymph node (SLN) metastasis in the clinical early stage (T1-2, N0) breast cancer.
METHODS: The demographic and clinicopathological characteristics of the patients were recorded retrospectively. Among these, age, size of the primary breast tumor, tumor localization and multifocality/multicentricity status, preoperative serum Neutrophil/Lymphocyte rate (NLR), c-erbB2/HER2-neu status, Estrogen Receptor (ER) and Progesterone Receptor (PR) status, primary tumor proliferation index (Ki-67), histopathological grade, molecular subtypes, histopathological subtypes, nipple/areola infiltration, Lymphatic Invasion (LI), Vascular Invasion (VI), Perineural Invasion (PNI), number of metastatic SLN m(SLN), mSLN diameter, SLN Extranodal Extension (ENE) status, and number of metastatic nonSLNs were recorded.
RESULTS: According to the univariate analysis, the HER2 positivity, Ki-67≥%20, mSLN diameter, LI, VI, PNI, ENE and molecular subtypes were found to be significant. However, the age, tumor localization, multifocality/multicentricity, T stage, ER and PR status, tumor size, histopathological grade and subtypes, nipple/areola infiltration and NLR were not found to be significant. In the multivariate analysis, significant independent predictors in nonSLN metastasis development were found to be HER2 positivity, PNI, mSLN diameter ≥10,5 mm and ENE.
CONCLUSION: The HER2 positivity, ENE, PNI and mSLN diameter ≥10,5 mm were found to be very strong predictors in nonSLN metastasis development. The findings of this study have the potential to be a guideline for surgeons and oncologists when determining their patients' treatment plan. These components are candidates for inclusion among the clinicopathological factors that may be used in the new nomograms due to their higher sensitivity and specificity.
Copyright © 2019. Published by Elsevier Taiwan LLC.

Entities:  

Keywords:  Axillary lymph node metastasis; Breast cancer; Predictor; Sentinel lymph node; nonsentinel lymph node

Year:  2019        PMID: 31519397     DOI: 10.1016/j.asjsur.2019.07.019

Source DB:  PubMed          Journal:  Asian J Surg        ISSN: 1015-9584            Impact factor:   2.767


  5 in total

1.  Association between the platelet to lymphocyte ratio, neutrophil to lymphocyte ratio and axillary lymph node metastasis in cT1N0 breast cancer patients.

Authors:  Li Yang; Hongbiao Wang; Jinping Ma; Jinyan Hao; Chunxia Zhang; Qiang Ma; Bin Wang
Journal:  Am J Transl Res       Date:  2021-03-15       Impact factor: 4.060

2.  Application of the Machine-Learning Model to Improve Prediction of Non-Sentinel Lymph Node Metastasis Status Among Breast Cancer Patients.

Authors:  Qian Wu; Li Deng; Ying Jiang; Hongwei Zhang
Journal:  Front Surg       Date:  2022-04-25

3.  A Pilot Study of Prognostic Value of Metastatic Lymph Node Count and Size in Patients with Different Stages of Gastric Carcinoma.

Authors:  Yong Gao; Kun Wang; Xiao-Xian Tang; Jin-Liang Niu; Jun Wang
Journal:  Cancer Manag Res       Date:  2022-06-21       Impact factor: 3.602

4.  A novel nomogram for decision-making assistance on exemption of axillary lymph node dissection in T1-2 breast cancer with only one sentinel lymph node metastasis.

Authors:  Lei Liu; Yaoxin Lin; Guozheng Li; Lei Zhang; Xin Zhang; Jiale Wu; Xinheng Wang; Yumei Yang; Shouping Xu
Journal:  Front Oncol       Date:  2022-09-12       Impact factor: 5.738

5.  Artificial Intelligence Algorithm-Based Ultrasound Image Segmentation Technology in the Diagnosis of Breast Cancer Axillary Lymph Node Metastasis.

Authors:  Lianhua Zhang; Zhiying Jia; Xiaoling Leng; Fucheng Ma
Journal:  J Healthc Eng       Date:  2021-07-22       Impact factor: 2.682

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.