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The genomic expression test EndoPredict is a prognostic tool for identifying risk of local recurrence in postmenopausal endocrine receptor-positive, her2neu-negative breast cancer patients randomised within the prospective ABCSG 8 trial.

Authors :
Fitzal F
Filipits M
Rudas M
Greil R
Dietze O
Samonigg H
Lax S
Herz W
Dubsky P
Bartsch R
Kronenwett R
Gnant M
Source :
British journal of cancer [Br J Cancer] 2015 Apr 14; Vol. 112 (8), pp. 1405-10. Date of Electronic Publication: 2015 Mar 24.
Publication Year :
2015

Abstract

Background: The aim of this study was to examine whether EndoPredict (EP), a novel genomic expression test, is effective in predicting local recurrence (LR)-free survival (LRFS) following surgery for breast cancer in postmenopausal women. In addition, we examined whether EP may help tailor local therapy in these patients.<br />Methods: From January 1996 to June 2004, 3714 postmenopausal patients were randomly assigned to either tamoxifen or tamoxifen followed by anastrozole within the prospective ABCSG 8 trial. Using assay scores from EP, we classified breast tumour blocks as either low or high risk for recurrence.<br />Results: Data were gathered from 1324 patients. The median follow-up was 72.3 months and the cumulative incidence of LR was 2.6% (0.4% per year). The risk of LR over a 10-year period among patients with high-risk lesions (n=683) was significantly higher (LRFS=91%) when compared with patients with low-risk lesions (n=641) (10-year LRFS=97.5%) (HR: 1.31 (1.16-1.48) P<0.005). The groups that received breast conservation surgery (BCT) and mastectomy (MX) had similar LR rates (P=0.879). Radiotherapy (RT) after BCT significantly improved LRFS in the cohorts predicted by EP to be low-risk for LR (received RT: n=436, 10-year LRFS 99.8%; did not receive RT: n=63, 10-year LRFS 83.6%, P<0.005).<br />Conclusions: EndoPredict is an effective prognostic tool for predicting LRFS. Among postmenopausal, low-risk patients, EP does not appear to be useful for tailoring local therapy.

Details

Language :
English
ISSN :
1532-1827
Volume :
112
Issue :
8
Database :
MEDLINE
Journal :
British journal of cancer
Publication Type :
Academic Journal
Accession number :
25867274
Full Text :
https://doi.org/10.1038/bjc.2015.98