Literature DB >> 20593241

The number of axillary lymph nodes involved with metastatic breast cancer does not affect outcome as long as all disease is confined to the sentinel lymph nodes.

James W Jakub1, Kanesha Bryant, Marianne Huebner, Tanya Hoskin, Judy C Boughey, Carol Reynolds, Amy C Degnim.   

Abstract

BACKGROUND: In breast cancer, a direct relationship exists between prognosis and the number of lymph nodes involved with metastatic disease. This study was undertaken to determine whether metastatic disease confined to the sentinel lymph nodes (SLN) has better prognosis than metastatic disease spread to non-SLNs, regardless of the number of nodes involved.
METHODS: The study group consisted of 449 breast cancer patients with positive axillary SLN who underwent regional nodal dissection. Cox proportional-hazard regression models were used to assess the association of the number of positive SLNs and non-SLNs with overall survival (OS) and disease-free survival (DFS).
RESULTS: In patients with disease confined to the SLNs, as the number of positive SLNs increased the OS and DFS remained the same. Once disease was present beyond the SLN, both DFS and OS were negatively impacted. On multivariate analysis non-SLN status remained an independent predictor of OS. A direct comparison was performed on the subset of patients with two positive lymph nodes. Group 1 had all disease confined to the SLNs (two positive SLNs), and group 2 had non-SLN disease (one positive SLN and one positive non-SLN). Despite an identical number of positive nodes, the OS rates were significantly worse in the group with disease present in a non-SLN (P = 0.004).
CONCLUSION: The number of nodes involved with metastatic disease does not impact OS and DFS if all disease is confined to the SLNs. Non-SLN involvement negatively influences OS and DFS independent of the number of positive nodes.

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Year:  2010        PMID: 20593241     DOI: 10.1245/s10434-010-1202-1

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  8 in total

1.  Preoperative axillary ultrasound in breast cancer: safely avoiding frozen section of sentinel lymph nodes in breast-conserving surgery.

Authors:  Irada Ibrahim-Zada; Clive S Grant; Katrina N Glazebrook; Judy C Boughey
Journal:  J Am Coll Surg       Date:  2013-04-28       Impact factor: 6.113

2.  Nomogram to predict non-sentinel lymph node status using total tumor load determined by one-step nucleic acid amplification: first report from Thailand.

Authors:  Doonyapat Sa-Nguanraksa; Eng O-Charoenrat; Anchalee Kulprom; Norasate Samarnthai; Visnu Lohsiriwat; Kampanart Nimpoonsri; Pornchai O-Charoenrat
Journal:  Breast Cancer       Date:  2019-01-07       Impact factor: 4.239

3.  Intraoperative prediction of non-sentinel lymph node metastases in breast cancer using cytokeratin 19 mRNA copy number: A retrospective analysis.

Authors:  Heloïse Pina; Julia Salleron; Pauline Gilson; Marie Husson; Marie Rouyer; Agnes Leroux; Philippe Rauch; Frederic Marchal; Mathilde Käppeli; Jean-Louis Merlin; Alexandre Harlé
Journal:  Mol Clin Oncol       Date:  2022-01-10

Review 4.  Axillary recurrence after a tumor-positive sentinel lymph node biopsy without axillary treatment: a review of the literature.

Authors:  Claire M T P Francissen; Pim J M Dings; Thijs van Dalen; Luc J A Strobbe; Hanneke W M van Laarhoven; Johannes H W de Wilt
Journal:  Ann Surg Oncol       Date:  2012-08-14       Impact factor: 5.344

5.  Accurate staging of axillary lymph nodes from breast cancer patients using a novel molecular method.

Authors:  T Osako; T Iwase; K Kimura; K Yamashita; R Horii; F Akiyama
Journal:  Br J Cancer       Date:  2011-08-30       Impact factor: 7.640

6.  A new molecular-based lymph node staging classification determines the prognosis of breast cancer patients.

Authors:  Tomo Osako; Takuji Iwase; Masaru Ushijima; Rika Yonekura; Shinji Ohno; Futoshi Akiyama
Journal:  Br J Cancer       Date:  2017-09-14       Impact factor: 7.640

7.  Whole sentinel lymph node analysis by a molecular assay predicts axillary node status in breast cancer.

Authors:  Y Ohi; Y Umekita; Y Sagara; Y Rai; D Yotsumoto; A Matsukata; S Baba; S Tamada; Y Matsuyama; M Ando; Y Sagara; M Sasaki; S Tsuchimochi; A Tanimoto; Y Sagara
Journal:  Br J Cancer       Date:  2012-08-28       Impact factor: 7.640

8.  A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer.

Authors:  Mozhgan Safe; Javad Faradmal; Hossein Mahjub
Journal:  Comput Math Methods Med       Date:  2016-08-28       Impact factor: 2.238

  8 in total

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