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Non sentinel node involvement prediction for sentinel node micrometastases in breast cancer: Nomogram validation and comparison with other models

Authors :
Pascal Bonnier
Jean-Rémi Garbay
Raoul Payan
Marie Bannier
Frederique Marchal
Jocelyne Jacquemier
Hervé Mignotte
Jean-Marc Classe
Jérôme Blanchot
Monique Cohen
Philippe Rouanet
Christine Tunon de Lara
Sandrine Fournet
Benjamin Esterni
Claude Nos
Gilles Houvenaeghel
Aubert Agostini
C. Belichard
Marc Martino
Sylvia Giard
Frédérique Penault-Llorca
Institut Paoli-Calmettes
Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)
Institut Curie [Paris]
Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] (UNICANCER/Lille)
Université Lille Nord de France (COMUE)-UNICANCER
Département de Chirurgie cancérologique
Centre Léon Bérard [Lyon]
CRLCC René Huguenin
Institut de Cancérologie de l'Ouest [Angers/Nantes] (UNICANCER/ICO)
UNICANCER
Centre René Gauducheau
CRLCC René Gauducheau
Plateforme de génétique moléculaire des cancers d'Aquitaine
Institut Bergonié [Bordeaux]
UNICANCER-UNICANCER
Hôpital Privé La Casamance [Marseille]
Clinique Belledonne - ELSAN [Saint-Martin-d'Hères]
Centre Eugène Marquis (CRLCC)
CRLCC Val d'Aurelle - Paul Lamarque
Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP)
Hôpital de la Conception [CHU - APHM] (LA CONCEPTION)
Groupe Hospitalier Diaconesses Croix Saint-Simon
Centre Alexis Vautrin (CAV)
Institut Gustave Roussy (IGR)
D'Hallewin, Marie Ange
Université de Lille-UNICANCER
Source :
Breast, Breast, Elsevier, 2012, 21 (2), pp.204-209. ⟨10.1016/j.breast.2011.09.013⟩, Breast, 2012, 21 (2), pp.204-209. ⟨10.1016/j.breast.2011.09.013⟩
Publication Year :
2012
Publisher :
Elsevier BV, 2012.

Abstract

International audience; PURPOSE: The risk of non sentinel node (NSN) involvement varies in function of the characteristics of sentinel nodes (SN) and primary tumor. Our aim was to determine and validate a statistical tool (a nomogram) able to predict the risk of NSN involvement in case of SN micro or sub-micrometastasis of breast cancer. We have compared this monogram with other models described in the literature. METHODS: We have collected data on 905 patients, then 484 other patients, to build and validate the nomogram and compare it with other published scores and nomograms. RESULTS: Multivariate analysis conducted on the data of the first cohort allowed us to define a nomogram based on 5 criteria: the method of SN detection (immunohistochemistry or by standard coloration with HES); the ratio of positive SN out of total removed SN; the pathologic size of the tumor; the histological type; and the presence (or not) of lympho-vascular invasion. The nomogram developed here is the only one dedicated to micrometastasis and developed on the basis of two large cohorts. The results of this statistical tool in the calculation of the risk of NSN involvement is similar to those of the MSKCC (the similarly more effective nomogram according to the literature), with a lower rate of false negatives. CONCLUSION: this nomogram is dedicated specifically to cases of SN involvement by metastasis lower or equal to 2 mm. It could be used in clinical practice in the way to omit ALND when the risk of NSN involvement is low.

Details

ISSN :
09609776
Volume :
21
Database :
OpenAIRE
Journal :
The Breast
Accession number :
edsair.doi.dedup.....ec9a3db13c621832af35b9387203b9a4
Full Text :
https://doi.org/10.1016/j.breast.2011.09.013