Literature DB >> 22674094

The positive non-sentinel status is not the main decisional factor for chemotherapy assignment in breast cancer with micrometastatic disease in the sentinel lymph node.

Chafika Mazouni1, Roland Reitsamer, Françoise Rimareix, Heidi Stranzl, Catherine Uzan, Jean-Rémi Garbay, Suzette Delaloge, Florentia Peintinger.   

Abstract

BACKGROUND: Surgical and systemic treatment modalities for breast cancer (BC) patients with micrometastatic disease in the sentinel lymph node biopsy (SNB) are controversial. The aim of this study was to evaluate decisional factors associated with assignment of adjuvant chemotherapy (CT). PATIENTS AND METHODS: In a retrospective multicentric European study we evaluated cases of primary BC patients who underwent SNB. Logistic regression (LR) and recursive partitioning analyses (RPA) were performed to determine factors associated with CT.
RESULTS: Of the 172 patients with micrometastatic disease, 39.5% received adjuvant CT. In the group treated with CT, patients tended to be younger (P = 0.001), with higher grade (P = 0.001) and HER2 positive tumors (P = 0.006) compared to patients without CT. In multivariate LR, age (P = 0.0027), high grading (P = 0.01) HER2 positivity (P = 0.03), and positive non-SN status (P = 0.03) were significantly associated with CT. RPA demonstrated that tumor grade, and not the non-SN status, was the first split in the partition tree followed by HER2 status, and non-SN status influencing the probability for CT administration.
CONCLUSION: High tumor grade is the main decisional factor followed by HER2 positivity and then by the positive non-SN status for CT in micrometastatic disease in the SN.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22674094     DOI: 10.1002/jso.23188

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  2 in total

Review 1.  Locoregional treatment of early breast cancer with isolated tumor cells or micrometastases on sentinel lymph node biopsy.

Authors:  Agnès Tallet; Eric Lambaudie; Monique Cohen; Mathieu Minsat; Marie Bannier; Michel Resbeut; Gilles Houvenaeghel
Journal:  World J Clin Oncol       Date:  2016-04-10

2.  A decision tree built with parameters obtained by computed tomographic pulmonary angiography is useful for predicting adverse outcomes in non-high-risk acute pulmonary embolism patients.

Authors:  Dong Jia; Xue-Lian Li; Qin Zhang; Gang Hou; Xiao-Ming Zhou; Jian Kang
Journal:  Respir Res       Date:  2019-08-19
  2 in total

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