Literature DB >> 28808943

A logistic regression model predicting high axillary tumour burden in early breast cancer patients.

I Barco1, M García Font2, A García-Fernández3, N Giménez4,5, M Fraile6, J M Lain7, E Vallejo3, S González8, L Canales9, J Deu3, M C Vidal10, M Rodríguez-Carballeira11, A Pessarrodona3, C Chabrera12.   

Abstract

PURPOSE: As elective axillary dissection is loosing ground for early breast cancer (BC) patients both in terms of prognostic and therapeutic power, there is a growing interest in predicting patients with (nodal) high tumour burden (HTB), especially after a positive sentinel node biopsy (SNB) because they would really benefit from further axillary intervention either by complete lymph-node dissection or axillary radiation therapy. METHODS/PATIENTS: Based on an analysis of 1254 BC patients in whom complete axillary clearance was performed, we devised a logistic regression (LR) model to predict those with HTB, as defined by the presence of three or more involved nodes with macrometastasis. This was accomplished through prior selection of every variable associated with HTB at univariate analysis.
RESULTS: Only those variables shown as significant at the multivariate analysis were finally considered, namely tumour size, lymphovascular invasion and histological grade. A probability table was then built to calculate the chances of HTB from a cross-correlation of those three variables. As a suggestion, if we were to follow the rationale previously used in the micrometastasis trials, a threshold of about 10% risk of HTB could be considered under which no further axillary treatment is warranted.
CONCLUSIONS: Our LR model with its probability table can be used to define a subgroup of early BC patients suitable for axillary conservative procedures, either sparing completion lymph-node dissection or even SNB altogether.

Entities:  

Keywords:  Axilla; Breast neoplasms; Mortality; Sentinel lymph node biopsy; Survival; Tumour burden

Mesh:

Year:  2017        PMID: 28808943     DOI: 10.1007/s12094-017-1737-8

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  21 in total

Review 1.  Is axillary lymph node clearance required in node-positive breast cancer?

Authors:  Nigel J Bundred; Nicola L P Barnes; Emiel Rutgers; Mila Donker
Journal:  Nat Rev Clin Oncol       Date:  2014-11-04       Impact factor: 66.675

2.  Which nomogram is best for predicting non-sentinel lymph node metastasis in breast cancer patients? A meta-analysis.

Authors:  Liling Zhu; Liang Jin; Shunrong Li; Kai Chen; Weijuan Jia; Quanyuan Shan; Stephen Walter; Erwei Song; Fengxi Su
Journal:  Breast Cancer Res Treat       Date:  2013-01-05       Impact factor: 4.872

3.  SINODAR ONE, an ongoing randomized clinical trial to assess the role of axillary surgery in breast cancer patients with one or two macrometastatic sentinel nodes.

Authors:  Corrado Tinterri; Giuseppe Canavese; Paolo Bruzzi; Beatrice Dozin
Journal:  Breast       Date:  2016-07-09       Impact factor: 4.380

Review 4.  Axillary lymph node dissection versus sentinel lymph node biopsy alone for early breast cancer with sentinel node metastasis: A meta-analysis.

Authors:  C Z Li; P Zhang; R W Li; C T Wu; X P Zhang; H C Zhu
Journal:  Eur J Surg Oncol       Date:  2015-06-02       Impact factor: 4.424

5.  Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial.

Authors:  Armando E Giuliano; Kelly K Hunt; Karla V Ballman; Peter D Beitsch; Pat W Whitworth; Peter W Blumencranz; A Marilyn Leitch; Sukamal Saha; Linda M McCall; Monica Morrow
Journal:  JAMA       Date:  2011-02-09       Impact factor: 56.272

Review 6.  Which sentinel lymph-node (SLN) positive breast cancer patient needs an axillary lymph-node dissection (ALND)--ACOSOG Z0011 results and beyond.

Authors:  Wolfgang Gatzemeier; G Bruce Mann
Journal:  Breast       Date:  2013-03-09       Impact factor: 4.380

7.  Predictors for extensive nodal involvement in breast cancer patients with axillary lymph node metastases.

Authors:  N C Verheuvel; H W A Ooms; V C G Tjan-Heijnen; R M H Roumen; A C Voogd
Journal:  Breast       Date:  2016-04-26       Impact factor: 4.380

8.  A simple risk score to predict the presence of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel node.

Authors:  Raquel F D van la Parra; Petronella G M Peer; Wilfred K de Roos; Miranda F Ernst; Johannes H W de Wilt; Koop Bosscha
Journal:  World J Surg       Date:  2014-05       Impact factor: 3.352

9.  A logistic regression model for predicting axillary lymph node metastases in early breast carcinoma patients.

Authors:  Fei Xie; Houpu Yang; Shu Wang; Bo Zhou; Fuzhong Tong; Deqi Yang; Jiaqing Zhang
Journal:  Sensors (Basel)       Date:  2012-07-23       Impact factor: 3.576

10.  Predictive Factors for Non-Sentinel Lymph Node Metastasis in the Case of Positive Sentinel Lymph Node Metastasis in Two or Fewer Nodes in Breast Cancer.

Authors:  Chie Toshikawa; Yu Koyama; Masayuki Nagahashi; Kumiko Tatsuda; Kazuki Moro; Junko Tsuchida; Miki Hasegawa; Toshiyuki Niwano; Naoko Manba; Mayuko Ikarashi; Hitoshi Kameyama; Takashi Kobayashi; Shin-Ichi Kosugi; Toshifumi Wakai
Journal:  J Clin Med Res       Date:  2015-06-09
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  1 in total

1.  Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands.

Authors:  Cornelia D van Steenbeek; Marissa C van Maaren; Sabine Siesling; Annemieke Witteveen; Xander A A M Verbeek; Hendrik Koffijberg
Journal:  BMC Med Res Methodol       Date:  2019-06-08       Impact factor: 4.615

  1 in total

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