Literature DB >> 23100610

Risk factors for sentinel lymph node metastasis and validation study of the MSKCC nomogram in breast cancer patients.

Peng-fei Qiu1, Juan-juan Liu, Yong-sheng Wang, Guo-ren Yang, Yan-bing Liu, Xiao Sun, Chun-jian Wang, Zhao-peng Zhang.   

Abstract

OBJECTIVE: To evaluate the risk factors for sentinel lymph node metastasis and validate the value of the Memorial Sloan-Kettering Cancer Center nomogram for the prediction of sentinel lymph node metastasis in breast cancer patients.
METHODS: A sentinel lymph node biopsy database containing 1227 consecutive breast cancer patients (416 patients with at least one positive sentinel lymph node) was retrospectively analyzed. The predictive value of the Memorial Sloan-Kettering Cancer Center nomogram was calculated by the trend line and the area under the receiver-operator characteristic curve. Meanwhile, predictors for sentinel lymph node metastasis were also evaluated.
RESULTS: Tumor size, histological grade, lymphovascular invasion, mulifocality, estrogen receptor and progesterone receptor status were significant independent predictors for sentinel lymph node metastasis (all P<0.01). The Memorial Sloan-Kettering Cancer Center nomogram presented an area under the receiver-operator characteristic curve value of 0.730. Patients with predictive value<16% had a frequency of sentinel lymph node metastasis of 0.9%. Those with values larger than 70% had a frequency of 96.2%.
CONCLUSIONS: The risk factors for sentinel lymph node metastasis in our study were consistent with those in the Memorial Sloan-Kettering Cancer Center nomogram. The Memorial Sloan-Kettering Cancer Center nomogram is a useful tool that could accurately predict the probability of sentinel lymph node metastasis in our breast cancer patients. Axillary surgical staging might be avoided in patients with a predictive value of <16% and axillary lymph node dissection might be done directly in those with a predictive value >70%, while other patients should still accept sentinel lymph node biopsy.

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Year:  2012        PMID: 23100610     DOI: 10.1093/jjco/hys150

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  17 in total

1.  Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI.

Authors:  Yuhao Dong; Qianjin Feng; Wei Yang; Zixiao Lu; Chunyan Deng; Lu Zhang; Zhouyang Lian; Jing Liu; Xiaoning Luo; Shufang Pei; Xiaokai Mo; Wenhui Huang; Changhong Liang; Bin Zhang; Shuixing Zhang
Journal:  Eur Radiol       Date:  2017-08-21       Impact factor: 5.315

2.  Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.

Authors:  Chunling Liu; Jie Ding; Karl Spuhler; Yi Gao; Mario Serrano Sosa; Meghan Moriarty; Shahid Hussain; Xiang He; Changhong Liang; Chuan Huang
Journal:  J Magn Reson Imaging       Date:  2018-09-01       Impact factor: 4.813

3.  Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer.

Authors:  Huan Li; Lin Tang; Yajuan Chen; Ling Mao; Hui Xie; Shui Wang; Xiaoxiang Guan
Journal:  Gland Surg       Date:  2021-03

4.  A nomogram to predict the probability of axillary lymph node metastasis in early breast cancer patients with positive axillary ultrasound.

Authors:  Si-Qi Qiu; Huan-Cheng Zeng; Fan Zhang; Cong Chen; Wen-He Huang; Rick G Pleijhuis; Jun-Dong Wu; Gooitzen M van Dam; Guo-Jun Zhang
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379

5.  Impact of Size of the Tumour, Persistence of Estrogen Receptors, Progesterone Receptors, HER2Neu Receptors and Ki67 Values on Positivity of Axillary Lymph Nodes in Patients with Early Breast Cancer with Clinically Negative Axillary Examination.

Authors:  Borislav Kondov; Rosalinda Isijanovska; Zvonko Milenkovikj; Gordana Petrusevska; Marija Jovanovski-Srceva; Magdalena Bogdanovska-Todorovska; Goran Kondov
Journal:  Open Access Maced J Med Sci       Date:  2017-10-26

6.  Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer.

Authors:  Koji Takada; Shinichiro Kashiwagi; Yuka Asano; Wataru Goto; Rika Kouhashi; Akimichi Yabumoto; Tamami Morisaki; Masatsune Shibutani; Tsutomu Takashima; Hisakazu Fujita; Kosei Hirakawa; Masaichi Ohira
Journal:  BMC Cancer       Date:  2020-06-26       Impact factor: 4.430

7.  Does shear wave ultrasound independently predict axillary lymph node metastasis in women with invasive breast cancer?

Authors:  Andrew Evans; Petra Rauchhaus; Patsy Whelehan; Kim Thomson; Colin A Purdie; Lee B Jordan; Caroline O Michie; Alastair Thompson; Sarah Vinnicombe
Journal:  Breast Cancer Res Treat       Date:  2013-12-04       Impact factor: 4.872

8.  POU5F1/Oct-4 expression in breast cancer tissue is significantly associated with non-sentinel lymph node metastasis.

Authors:  Shouliang Cai; Shugang Geng; Feng Jin; Jisheng Liu; Chang Qu; Bo Chen
Journal:  BMC Cancer       Date:  2016-03-01       Impact factor: 4.430

9.  Clinical significance of MSKCC nomogram on guiding the application of touch imprint cytology and frozen section in intraoperative assessment of breast sentinel lymph nodes.

Authors:  Lisha Sun; Guanglei Chen; Yizhen Zhou; Lei Zhang; Zining Jin; Weiguang Liu; Guangping Wu; Feng Jin; Kai Li; Bo Chen
Journal:  Oncotarget       Date:  2017-04-27

10.  Association of conventional ultrasound, elastography and clinicopathological factors with axillary lymph node status in invasive ductal breast carcinoma with sizes > 10 mm.

Authors:  Hui Liu; Guang Xu; Ming-Hua Yao; Huan Pu; Yan Fang; Li-Hua Xiang; Rong Wu
Journal:  Oncotarget       Date:  2017-07-04
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