Literature DB >> 17125963

Predictors of axillary lymph node metastasis in breast cancer: a systematic review.

N R Patani1, M V Dwek, M Douek.   

Abstract

AIMS: To review the established and emerging techniques in axillary lymph node prediction and explore their potential impact on clinical practice. To reliably identify patients in whom axillary lymph node surgery, including SLNB, can be safely omitted.
METHODS: Searches of PubMed were made using the search terms "axilla" (or "axillary"), "lymph", "node" and "predictor" (or "prediction"). Articles from abstracts and reports from meetings were included only when they related directly to previously published work.
FINDINGS: There are numerous studies in which the predictive utility of biomarkers as determinants of axillary lymph node status have been investigated. Few of these have specifically addressed the attributes of the primary tumour which could offer much potential for the prediction of tumour metastasis to the axillary lymph nodes.
CONCLUSIONS: Currently, no single marker is sufficiently accurate to obviate the need for formal axillary staging using SLNB or axillary clearance.

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Year:  2006        PMID: 17125963     DOI: 10.1016/j.ejso.2006.09.003

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  16 in total

1.  In stage II/III lymph node-positive breast cancer patients less than 55 years of age, keratin 8 expression in lymph node metastases but not in the primary tumour is an indicator of better survival.

Authors:  Serena Bonin; Danae Pracella; Renzo Barbazza; Sandro Sulfaro; Giorgio Stanta
Journal:  Virchows Arch       Date:  2015-02-28       Impact factor: 4.064

2.  Association between molecular subtypes and lymph node status in invasive breast cancer.

Authors:  Chengshuai Si; Yiting Jin; Hongying Wang; Qiang Zou
Journal:  Int J Clin Exp Pathol       Date:  2014-09-15

3.  Analysis of molecular markers as predictive factors of lymph node involvement in breast carcinoma.

Authors:  Luciana Marques Paula; Luis Henrique Ferreira De Moraes; Abaeté Leite Do Canto; Laurita Dos Santos; Airton Abrahão Martin; Silvia Regina Rogatto; Renata De Azevedo Canevari
Journal:  Oncol Lett       Date:  2016-11-28       Impact factor: 2.967

4.  Assessment of Ultrasound Features Predicting Axillary Nodal Metastasis in Breast Cancer: The Impact of Cortical Thickness.

Authors:  A Stachs; A Tra-Ha Thi; M Dieterich; J Stubert; S Hartmann; Ä Glass; T Reimer; B Gerber
Journal:  Ultrasound Int Open       Date:  2015-07

5.  Integrative 3' Untranslated Region-Based Model to Identify Patients with Low Risk of Axillary Lymph Node Metastasis in Operable Triple-Negative Breast Cancer.

Authors:  Lei Wang; Xin Hu; Peng Wang; Zhi-Ming Shao
Journal:  Oncologist       Date:  2018-08-06

6.  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

7.  Which patients need an axillary clearance after sentinel node biopsy?

Authors:  Anastasia Pazaiti; Ian S Fentiman
Journal:  Int J Breast Cancer       Date:  2011-08-24

8.  Is the sentinel lymph node biopsy more sensitive for the identification of positive lymph nodes in breast cancer than the axillary lymph node dissection?

Authors:  Ann Smeets; Emi Yoshihara; Annouschka Laenen; Anneleen Reynders; Julie Soens; Hans Wildiers; Robert Paridaens; Chantal Van Ongeval; Giuseppe Floris; Patrick Neven; Marie-Rose Christiaens
Journal:  Springerplus       Date:  2013-06-23

9.  Impact of tumor chronology and tumor biology on lymph node metastasis in breast cancer.

Authors:  Ann Smeets; Andries Ryckx; Ann Belmans; Hans Wildiers; Patrick Neven; Giuseppe Floris; Patrick Schöffski; Marie-Rose Christiaens
Journal:  Springerplus       Date:  2013-09-23

10.  Lymph node shape in computed tomography imaging as a predictor for axillary lymph node metastasis in patients with breast cancer.

Authors:  Goro Kutomi; Tousei Ohmura; Fukino Satomi; Tomoko Takamaru; Hiroaki Shima; Yasuyo Suzuki; Seiko Otokozawa; Hitoshi Zembutsu; Mitsuru Mori; Koichi Hirata
Journal:  Exp Ther Med       Date:  2014-06-16       Impact factor: 2.447

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