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A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression.

Stefan J Hutten ,
Roebi de Bruijn ,
Catrin Lutz ,
Madelon Badoux ,
Timo Eijkman ,
Xue Chao ,
Marta Ciwinska ,
Michael Sheinman ,
Hendrik Messal ,
Andrea Herencia-Ropero ,
Petra Kristel ,
Lennart Mulder ,
Rens van der Waal ,
Joyce Sanders ,
Mathilde M Almekinders ,
Alba Llop-Guevara ,
Helen R Davies ,
Matthijs J van Haren ,
Nathaniel I Martin ,
Fariba Behbod ,
Serena Nik-Zainal ,
Violeta Serra ,
Jacco van Rheenen ,
Esther H Lips ,
Lodewyk F A Wessels ,
,
Jelle Wesseling ,
Colinda L G J Scheele ,
Jos Jonkers

Abstract

Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer (IBC). Due to a lack of biomarkers able to distinguish high- from low-risk cases, DCIS is treated similar to early IBC even though the minority of untreated cases eventually become invasive. Here, we characterized 115 patient-derived mouse-intraductal (MIND) DCIS models reflecting the full spectrum of DCIS observed in patients. Utilizing the possibility to follow the natural progression of DCIS combined with omics and imaging data, we reveal multiple prognostic factors for high-risk DCIS including high grade, HER2 amplification, expansive 3D growth, and high burden of copy number aberrations. In addition, sequential transplantation of xenografts showed minimal phenotypic and genotypic changes over time, indicating that invasive behavior is an intrinsic phenotype of DCIS and supporting a multiclonal evolution model. Moreover, this study provides a collection of 19 distributable DCIS-MIND models spanning all molecular subtypes.

More about this publication

Cancer cell

Volume 41
Issue nr. 5
Pages 986-1002.e9
Publication date 08-05-2023

Full text links

Publisher website (DOI) 10.1016/j.ccell.2023.04.002
Europe PubMed Central 37116492
Pubmed 37116492

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