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Mammographic screening detects low-risk tumor biology breast cancers

Authors :
Karla Kerlikowske
E.J.T. Rutgers
Ruud M. Pijnappel
L.J. van 't Veer
Leen Slaets
Marjanka K. Schmidt
Laura J. Esserman
Fatima Cardoso
F.E. van Leeuwen
C.A. Drukker
Jan Bogaerts
Academic Medical Center
Source :
Breast cancer research and treatment, 144(1), 103-111. Springer New York, Breast Cancer Research and Treatment
Publication Year :
2014
Publisher :
Springer Science and Business Media LLC, 2014.

Abstract

Overdiagnosis of breast cancer, i.e. the detection of slow-growing tumors that would never have caused symptoms or death, became more prevalent with the implementation of population-based screening. Only rough estimates have been made of the proportion of patients that are overdiagnosed and identification of those patients is difficult. Therefore, the aim of this study is to evaluate whether tumor biology can help identify patients with screen-detected tumors at such a low risk of recurrence that they are likely to be overdiagnosed. Furthermore, we wish to evaluate the impact of the transition from film-screen mammography (FSM) to the more sensitive full-field digital mammography (FFDM) on the biology of the tumors detected by each screening-modality. All Dutch breast cancer patients enrolled in the MINDACT trial (EORTC-10041) accrued 2007–2011, who participated in the national screening program (biennial screening ages 50–75) were included (n = 1,165). We calculated the proportions of high-, low- and among those the ultralow-risk tumors according to the 70-gene signature for patients with screen-detected (n = 775) and interval (n = 390) cancers for FSM and FFDM. Screen-detected cancers had significantly more often a low-risk tumor biology (68 %) of which 54 % even an ultralow-risk compared to interval cancers (53 % low-, of which 45 % ultralow-risk (p = 0.001) with an OR of 2.33 (p

Details

ISSN :
15737217 and 01676806
Volume :
144
Database :
OpenAIRE
Journal :
Breast Cancer Research and Treatment
Accession number :
edsair.doi.dedup.....172034dac957066b409bf397cb76573f