Literature DB >> 18042430

Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER).

Jolien M Bueno-de-Mesquita1, Wim H van Harten2, Valesca P Retel2, Laura J van 't Veer3, Frits Sam van Dam2, Kim Karsenberg2, Kirsten Fl Douma2, Harm van Tinteren4, Johannes L Peterse1, Jelle Wesseling1, Tin S Wu1, Douwe Atsma1, Emiel Jt Rutgers5, Guido Brink6, Arno N Floore6, Annuska M Glas6, Rudi Mh Roumen7, Frank E Bellot8, Cees van Krimpen9, Sjoerd Rodenhuis10, Marc J van de Vijver11, Sabine C Linn12.   

Abstract

BACKGROUND: A microarray-based 70-gene prognosis signature might improve the selection of patients with node-negative breast cancer for adjuvant systemic treatment. The main aims of this MicroarRAy PrognoSTics in Breast CancER (RASTER) study were to assess prospectively the feasibility of implementation of the 70-gene prognosis signature in community-based settings and its effect on adjuvant systemic treatment decisions when considered with treatment advice formulated from the Dutch Institute for Healthcare Improvement (CBO) and other guidelines.
METHODS: Between January, 2004 and December, 2006, 812 women aged under 61 years with primary breast carcinoma (clinical T1-4N0M0) were enrolled. Fresh tumour samples were collected in 16 hospitals in the Netherlands within 1 h after surgery. Clinicopathological factors were collected and microarray analysis was done with a custom-designed array chip that assessed the mRNA expression index of the 70 genes previously identified for the prognostic signature. Patients with a "good" signature were deemed to have a good prognosis and, therefore, could be spared adjuvant systemic treatment with its associated adverse effects, whereas patients with a "poor" signature were judged to have a poor prognosis and should be considered for adjuvant systemic treatment. Concordance between risk predicted by the prognosis signature and risk predicted by commonly used clinicopathological guidelines (ie, St Gallen guidelines, Nottingham Prognostic Index, and Adjuvant! Online) was assessed.
FINDINGS: Of 585 eligible patients, 158 patients were excluded because of sampling failure (n=128) and incorrect procedure (n=30). Prognosis signatures were assessed in 427 patients. The 70-gene prognosis signature identified 219 (51%) patients with good prognosis and 208 (49%) patients with poor prognosis. The Dutch CBO guidelines identified 184 patients (43%) with poor prognosis, which was discordant with those findings obtained with the prognosis signature in 128 (30%) patients. Oncologists recommended adjuvant treatment in 203 (48%) patients based on Dutch CBO guidelines, in 265 (62%) patients if the guidelines were used with the prognosis signature, and in 259 (61%) patients if Dutch CBO guidelines, prognosis signature, and patients' preferences for treatment were all taken into account. Adjuvant! Online guidelines identified more patients with poor prognosis than did the signature alone (294 [69%]), and discordance with the signature occurred in 160 (37%) patients. St Gallen guidelines identified 353 (83%) patients with poor prognosis with the signature and discordance in 168 (39%) patients. Nottingham Prognostic Index recorded 179 (42%) patients with poor prognosis with the signature and discordance in 117 (27%) patients.
INTERPRETATION: Use of the prognosis signature is feasible in Dutch community hospitals. Adjuvant systemic treatment was advised less often when the more restrictive Dutch CBO guidelines were used compared with that finally given after use of the prognosis signature. For the other guidelines assessed, less adjuvant chemotherapy would be given when the data based on prognosis signature alone are used, which might spare patients from adverse effects and confirms previous findings. Future studies should assess whether use of the prognosis signature could improve survival or equal survival while avoiding unnecessary adjuvant systemic treatment without affecting patients' survival, and further assess the factors that physicians use to recommend adjuvant systemic treatment.

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Year:  2007        PMID: 18042430     DOI: 10.1016/S1470-2045(07)70346-7

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  75 in total

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

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Review 8.  Genomic markers for decision making: what is preventing us from using markers?

Authors:  Vicky M Coyle; Patrick G Johnston
Journal:  Nat Rev Clin Oncol       Date:  2009-12-15       Impact factor: 66.675

9.  Genomancy: predicting tumour response to cancer therapy based on the oracle of genetics.

Authors:  P D Williams; J K Lee; D Theodorescu
Journal:  Curr Oncol       Date:  2009-01       Impact factor: 3.677

Review 10.  Multidisciplinary approach of early breast cancer: the biology applied to radiation oncology.

Authors:  Céline Bourgier; Mahmut Ozsahin; David Azria
Journal:  Radiat Oncol       Date:  2010-01-14       Impact factor: 3.481

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