A fuzzy gene expression-based computational approach improves breast cancer prognostication.

Abstract:

:Early gene expression studies classified breast tumors into at least three clinically relevant subtypes. Although most current gene signatures are prognostic for estrogen receptor (ER) positive/human epidermal growth factor receptor 2 (HER2) negative breast cancers, few are informative for ER negative/HER2 negative and HER2 positive subtypes. Here we present Gene Expression Prognostic Index Using Subtypes (GENIUS), a fuzzy approach for prognostication that takes into account the molecular heterogeneity of breast cancer. In systematic evaluations, GENIUS significantly outperformed current gene signatures and clinical indices in the global population of patients.

journal_name

Genome Biol

journal_title

Genome biology

authors

Haibe-Kains B,Desmedt C,Rothé F,Piccart M,Sotiriou C,Bontempi G

doi

10.1186/gb-2010-11-2-r18

subject

Has Abstract

pub_date

2010-01-01 00:00:00

pages

R18

issue

2

eissn

1474-7596

issn

1474-760X

pii

gb-2010-11-2-r18

journal_volume

11

pub_type

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