DMCA
Integrating the Molecular Subtypes of Breast Cancer into a Novel Prognostic Model
BibTeX
@MISC{B_integratingthe,
author = {Haibe-kains B and Desmedt C and Rothe ́ F and Piccart Mj and Bontempi G and Sotiriou C},
title = {Integrating the Molecular Subtypes of Breast Cancer into a Novel Prognostic Model},
year = {}
}
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Abstract
THE early gene expression studies in breast cancer have provided a molecular classification ofthese tumors into at least three clinically relevant subtypes (ER-/HER2-, HER2+ or ER+/HER2). Our group recently introduced a robust method for subtype identification, exhibiting numerous advan-tages compared to the hierarchical clustering used in these initial publications [7, 1]. From a prognostic point of view, several signatures have been identified in the global population of patients. However, the majority of these only yielded good prognostic performance in the ER+/HER2-subtype [7, 1]. Additionally, we showed that clinical and genomic prognostic factors dramatically depend on the molecular subtype of breast tumors. In this work, we propose a novel prognostic model which takes into the account the molecular het-erogeneity of breast cancer. 2. Methods WE developed a two-step prognostic model called GENIUS (Gene Expression progNostic IndexUsing Subtypes) as depicted in Figure 1: 1. Accurate assessment of the probabilities for a tumor to belong to each of the three breast cancer molecular subtypes (subtype clustering). 2. Combination of these probabilities with subtype-specific prognostic signatures (subtype prognostic gene signatures), which results in the final GENIUS risk predictions.
Keyphrases
breast cancer novel prognostic model molecular subtypes er her2 er her2-subtype early gene expression study two-step prognostic model subtype identification good prognostic performance initial publication genomic prognostic factor accurate assessment numerous advan-tages several signature subtype clustering gene expression prognostic indexusing subtypes molecular classification ofthese tumor prognostic point robust method final genius risk prediction hierarchical clustering molecular het-erogeneity subtype-specific prognostic signature molecular subtype subtype prognostic gene signature breast cancer molecular subtypes global population breast tumor relevant subtypes
