Literature DB >> 19825882

The 70-gene prognosis signature predicts early metastasis in breast cancer patients between 55 and 70 years of age.

S Mook1, M K Schmidt2, B Weigelt3, B Kreike4, I Eekhout1, M J van de Vijver1, A M Glas5, A Floore5, E J T Rutgers6, L J van 't Veer7.   

Abstract

BACKGROUND: The majority of breast cancer patients are postmenopausal women who are increasingly being offered adjuvant chemotherapy. Since the beneficial effect of chemotherapy in postmenopausal patients predominantly occurs in the first 5 years after diagnosis, a prognostic marker for early events can be of use for adjuvant treatment decision making. The aim of this study was to evaluate the prognostic value of the 70-gene prognosis signature for early events in postmenopausal patients.
METHODS: Frozen tumor samples from 148 patients aged 55-70 years were selected (T1-2, N0) and classified by the 70-gene prognosis signature (MammaPrint) into good or poor prognosis. Eighteen percent received hormonal therapy.
RESULTS: Breast cancer-specific survival (BCSS) at 5 years was 99% for the good-prognosis signature versus 80% for the poor-prognosis signature group (P = 0.036). The 70-gene prognosis signature was a significant and independent predictor of BCCS during the first 5 years of follow-up with an adjusted hazard ratio of 14.4 (95% confidence interval 1.7-122.2; P = 0.01) at 5 years.
CONCLUSION: The 70-gene prognosis signature can accurately select postmenopausal patients at low risk of breast cancer-related death within 5 years of diagnosis and can be of clinical use in selecting postmenopausal women for adjuvant chemotherapy.

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Year:  2009        PMID: 19825882     DOI: 10.1093/annonc/mdp388

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  46 in total

Review 1.  Gene-expression-based prognostic assays for breast cancer.

Authors:  Chungyeul Kim; Soonmyung Paik
Journal:  Nat Rev Clin Oncol       Date:  2010-05-04       Impact factor: 66.675

2.  Genetics: How to validate a breast cancer prognostic signature.

Authors:  Paul D Pharoah; Carlos Caldas
Journal:  Nat Rev Clin Oncol       Date:  2010-11       Impact factor: 66.675

Review 3.  Gene Expression Profiling in Breast Cancer and Its Effect on Therapy Selection in Early-Stage Breast Cancer.

Authors:  E Nilüfer Güler
Journal:  Eur J Breast Health       Date:  2017-10-01

4.  Modern Risk Assessment for Individualizing Treatment Concepts in Early-stage Breast Cancer.

Authors:  Alex Farr; Rachel Wuerstlein; Annika Heiduschka; Christian F Singer; Nadia Harbeck
Journal:  Rev Obstet Gynecol       Date:  2013

Review 5.  Signatures of breast cancer metastasis at a glance.

Authors:  George S Karagiannis; Sumanta Goswami; Joan G Jones; Maja H Oktay; John S Condeelis
Journal:  J Cell Sci       Date:  2016-04-15       Impact factor: 5.285

Review 6.  Diagnostic tests based on gene expression profile in breast cancer: from background to clinical use.

Authors:  Laura Zanotti; Alberto Bottini; Camillo Rossi; Daniele Generali; Maria Rosa Cappelletti
Journal:  Tumour Biol       Date:  2014-07-23

7.  Use and Impact of the 21-Gene Recurrence Score in Relation to the Clinical Risk of Developing Metastases in Early Breast Cancer Patients in the Netherlands.

Authors:  Kay Schreuder; Anne Kuijer; Sanne Bentum; Thijs van Dalen; Sabine Siesling
Journal:  Public Health Genomics       Date:  2019-01-16       Impact factor: 2.000

8.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

Review 9.  Clinical utility of gene-expression signatures in early stage breast cancer.

Authors:  Maryann Kwa; Andreas Makris; Francisco J Esteva
Journal:  Nat Rev Clin Oncol       Date:  2017-05-31       Impact factor: 66.675

Review 10.  Genomic profiling in luminal breast cancer.

Authors:  Oleg Gluz; Daniel Hofmann; Rachel Würstlein; Cornelia Liedtke; Ulrike Nitz; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

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