Literature DB >> 29848724

Factors Predictive of Sentinel Lymph Node Involvement in Primary Breast Cancer.

Wolfram Malter1, Martin Hellmich2, Mayhar Badian3, Verena Kirn4, Peter Mallmann5, Stefan Krämer6.   

Abstract

BACKGROUND/AIM: Sentinel lymph node biopsy (SLNB) has replaced axillary lymph node dissection (ALND) for axillary staging in patients with early-stage breast cancer. The need for therapeutic ALND is the subject of ongoing debate especially after the publication of the ACOSOG Z0011 trial. In a retrospective trial with univariate and multivariate analyses, factors predictive of sentinel lymph node involvement should be analyzed in order to define tumor characteristics of breast cancer patients, where SLNB should not be spared to receive important indicators for adjuvant treatment decisions (e.g. thoracic wall irradiation after mastectomy with or without reconstruction). PATIENTS AND METHODS: Between 2006 and 2010, 1,360 patients with primary breast cancer underwent SLNB with/without ALND with evaluation of tumor localization, multicentricity and multifocality, histological subtype, tumor size, grading, lymphovascular invasion (LVI), and estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status. These characteristics were retrospectively analyzed in univariate and multivariate logistic regression models to define significant predictive factors for sentinel lymph node involvement. The multivariate analysis demonstrated that tumor size and LVI (p<0.001) were independent predictive factors for metastatic sentinel lymph node involvement in patients with early-stage breast cancer.
CONCLUSION: Because of the increased risk for metastatic involvement of axillary sentinel nodes in cases with larger breast cancer or diagnosis of LVI, patients with these breast cancer characteristics should not be spared from SLNB in a clinically node-negative situation in order to avoid false-negative results with a high potential for wrong indication of primary breast reconstruction or wrong non-indication of necessary post-mastectomy radiation therapy. The prognostic impact of avoidance of axillary staging with SLNB is analyzed in the ongoing prospective INSEMA trial. Copyright
© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Breast cancer; lymph node involvement; predictive factors; sentinel node biopsy

Mesh:

Year:  2018        PMID: 29848724     DOI: 10.21873/anticanres.12642

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  5 in total

1.  Predictive risk factors for sentinel lymph node metastasis using preoperative contrast-enhanced ultrasound in early-stage breast cancer patients.

Authors:  Jianghua Qiao; Juntao Li; Lina Wang; Xiaoxia Guo; Xiaolin Bian; Zhenduo Lu
Journal:  Gland Surg       Date:  2021-02

2.  LINC02273 drives breast cancer metastasis by epigenetically increasing AGR2 transcription.

Authors:  Bingqiu Xiu; Yayun Chi; Lei Liu; Weiru Chi; Qi Zhang; Jiajian Chen; Rong Guo; Jing Si; Lun Li; Jingyan Xue; Zhi-Ming Shao; Zhao-Hui Wu; Shenglin Huang; Jiong Wu
Journal:  Mol Cancer       Date:  2019-12-19       Impact factor: 27.401

3.  Non-invasive predictors of axillary lymph node burden in breast cancer: a single-institution retrospective analysis.

Authors:  Victoria Ngai; Justina Cheh Juan Tai; Saima Taj; Heba Khanfar; Elefterios Sfakianakis; Athanasios Bakalis; Rose Baker; Muneer Ahmed
Journal:  Breast Cancer Res Treat       Date:  2022-07-21       Impact factor: 4.624

4.  Stabilization of CCDC102B by Loss of RACK1 Through the CMA Pathway Promotes Breast Cancer Metastasis via Activation of the NF-κB Pathway.

Authors:  Jing Si; Rong Guo; Bingqiu Xiu; Weiru Chi; Qi Zhang; Jianjing Hou; Yonghui Su; Jiajian Chen; Jingyan Xue; Zhi-Ming Shao; Jiong Wu; Yayun Chi
Journal:  Front Oncol       Date:  2022-07-25       Impact factor: 5.738

5.  A model for the early identification of sentinel lymph node metastasis in patients with breast cancer based on contrast-enhanced ultrasound and clinical features.

Authors:  Juan Xu; Junzhi Li
Journal:  Oncol Lett       Date:  2022-09-08       Impact factor: 3.111

  5 in total

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