Classification et signatures moléculaires des cancers du sein en 2017 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

N. Joyon, F. Penault-Llorca, M. Lacroix-Triki

ABSTRACT

Les cancers du sein sont subdivisés selon leur degré d’expression des récepteurs hormonaux et du gène HER2. La classification moléculaire a bouleversé cette conception simpliste en mettant en lumière de multiples profils de pronostics différents. C’est dans ce contexte, et devant la nécessité d’employer des traitements ciblés que sont nées les signatures moléculaires. Bien qu’elles diffèrent par les méthodes employées (qRT-PCR, microarray ou dérivés type n-counter), elles ont les mêmes objectifs: calculer un score pronostique, fondé sur les niveaux d’expression de gènes impliqués dans la cancérogenèse, et si possible prédire la réponse au traitement. Applicables essentiellement aux tumeurs luminales RE+, elles ont prouvé leur valeur pronostique dans de vastes essais prospectifs, et les experts souhaitent les intégrer dans la décision thérapeutique, actuellement établie sur les critères clinicopathologiques. Par ailleurs, comparativement aux coûts d’une chimiothérapie, les signatures moléculaires apportent un réel bénéfice financier et permettent d’équilibrer la balance bénéfice/risque en diminuant le recours à des traitements agressifs parfois inefficaces. More... »

PAGES

64-70

Journal

TITLE

Oncologie

ISSUE

3-4

VOLUME

19

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10269-017-2700-6

DOI

http://dx.doi.org/10.1007/s10269-017-2700-6

DIMENSIONS

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