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PMID: 18661261 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Validation Study

The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1-3 positive lymph nodes in an independent validation study.

Breast cancer research and treatment ·Vol. 116 ·No. 2 ·2009-07-00 ·Pages 295-302

Mook S, Schmidt MK, Viale G, Pruneri G, Eekhout I, Floore A, Glas AM, Bogaerts J, Cardoso F, Piccart-Gebhart MJ, Rutgers ET, Van't Veer LJ, TRANSBIG Consortium

Abstract

The 70-gene prognosis-signature has shown to be a valid prognostic tool in node-negative breast cancer. Although axillary lymph node status is considered to be one of the most important prognostic factors, still 25-30% of node-positive breast cancer patients will remain free of distant metastases, even without adjuvant systemic therapy. We therefore investigated whether the 70-gene prognosis-signature can accurately identify patients with 1-3 positive lymph nodes who have an excellent disease outcome. Frozen tumour samples from 241 patients with operable T1-3 breast cancer, and 1-3 positive axillary lymph nodes, with a median follow-up of 7.8 years, were selected from 2 institutes. Using a customized microarray, tumour samples were analysed for the 70-gene tumour expression signature. In addition, we reanalysed part of a previously described cohort (n = 106) with extended follow-up. The 10-year distant metastasis-free (DMFS) and breast cancer specific survival (BCSS) probabilities were 91% (SE 4%) and 96% (SE 2%), respectively for the good prognosis-signature group (99 patients), and 76% (SE 4%) and 76% (SE 4%), respectively for the poor prognosis-signature group (142 patients). The 70-gene signature was significantly superior to the traditional prognostic factors in predicting BCSS with a multivariate hazard ratio (HR) of 7.17 (95% CI 1.81 to 28.43; P = 0.005). The 70-gene prognosis-signature outperforms traditional prognostic factors in predicting disease outcome in patients with 1-3 positive nodes. Moreover, the signature can accurately identify patients with an excellent disease outcome in node-positive breast cancer, who may be safely spared adjuvant chemotherapy.

MeSH Terms
Adult Aged Breast Neoplasms/genetics,mortality,pathology Female Gene Expression Profiling Humans Kaplan-Meier Estimate Lymphatic Metastasis/pathology Middle Aged Neoplasm Recurrence, Local/genetics Oligonucleotide Array Sequence Analysis Prognosis
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Mook Stella
Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Schmidt Marjanka K
Viale Giuseppe
Pruneri Giancarlo
Eekhout Inge
Floore Arno
Glas Annuska M
Bogaerts Jan
Cardoso Fatima
Piccart-Gebhart Martine J
Rutgers Emiel T
Van't Veer Laura J
TRANSBIG Consortium
Article Info
Journal
Breast cancer research and treatment
Abbr.
Breast Cancer Res Treat
ISSN
1573-7217
Published
2009-07-00
Epub
2008-00-27
Pages
295-302
Language
English
Region
Netherlands
NLM ID
8111104
Subset
IM
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