Prediction of distant relapses on tamoxifen in early-stage breast profiling:

ASCO 2005
Prediction of distant relapses on
tamoxifen in early-stage breast
cancer using gene expression
profiling:
A potential tool for AI tailoring
Sherene Loi MD, MJ Piccart, C Desmedt, B Haibe-Kains, A Harris,
J. Bergh, A Tutt, LD Miller, ET Liu, C Sotiriou
Translational Research Unit, Jules Bordet Institute, Brussels, Belgium
Background
The majority of early stage BC express
estrogen receptors, yet up to 40% will
relapse on tamoxifen in the adjuvant
setting.
Recent evidence from large randomized
controlled trials show benefit of aromatase
inhibitors (AIs) over tamoxifen alone
Introduction of AIs in the adjuvant setting-
for WHOM & at what COST?
Post Menopausal women with ER+ Breast Cancer
Cured with Cured with
Cured with Cured with
Cured
without
adjuvant
therapy
Tam 5yrs TAM 2yrs
TAM
5yrs AI 5yrs
OR
10 yrs
AI 5yrs AI x 5yrs
Identification of a gene predictor
Aim:
To discover a set of genes that can predict
for early distant relapse in ER+ early-
stage BC patients on adjuvant Tamoxifen
the high risk group may benefit from an
alternative endocrine approach
(ie: upfront AI)
METHODS
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Prediction of distant relapses on tamoxifen in early-stage breast profiling:

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