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Endocrine-Therapy-Resistant ESR1 Variants Revealed by Genomic Characterization of Breast-Cancer-Derived Xenografts

Authors :
Shunqiang Li
Dong Shen
Jieya Shao
Robert Crowder
Wenbin Liu
Aleix Prat
Xiaping He
Shuying Liu
Jeremy Hoog
Charles Lu
Li Ding
Obi L. Griffith
Christopher Miller
Dave Larson
Robert S. Fulton
Michelle Harrison
Tom Mooney
Joshua F. McMichael
Jingqin Luo
Yu Tao
Rodrigo Goncalves
Christopher Schlosberg
Jeffrey F. Hiken
Laila Saied
Cesar Sanchez
Therese Giuntoli
Caroline Bumb
Crystal Cooper
Robert T. Kitchens
Austin Lin
Chanpheng Phommaly
Sherri R. Davies
Jin Zhang
Megha Shyam Kavuri
Donna McEachern
Yi Yu Dong
Cynthia Ma
Timothy Pluard
Michael Naughton
Ron Bose
Rama Suresh
Reida McDowell
Loren Michel
Rebecca Aft
William Gillanders
Katherine DeSchryver
Richard K. Wilson
Shaomeng Wang
Gordon B. Mills
Ana Gonzalez-Angulo
John R. Edwards
Christopher Maher
Charles M. Perou
Elaine R. Mardis
Matthew J. Ellis
Source :
Cell Reports, Vol 4, Iss 6, Pp 1116-1130 (2013)
Publication Year :
2013
Publisher :
Elsevier, 2013.

Abstract

To characterize patient-derived xenografts (PDXs) for functional studies, we made whole-genome comparisons with originating breast cancers representative of the major intrinsic subtypes. Structural and copy number aberrations were found to be retained with high fidelity. However, at the single-nucleotide level, variable numbers of PDX-specific somatic events were documented, although they were only rarely functionally significant. Variant allele frequencies were often preserved in the PDXs, demonstrating that clonal representation can be transplantable. Estrogen-receptor-positive PDXs were associated with ESR1 ligand-binding-domain mutations, gene amplification, or an ESR1/YAP1 translocation. These events produced different endocrine-therapy-response phenotypes in human, cell line, and PDX endocrine-response studies. Hence, deeply sequenced PDX models are an important resource for the search for genome-forward treatment options and capture endocrine-drug-resistance etiologies that are not observed in standard cell lines. The originating tumor genome provides a benchmark for assessing genetic drift and clonal representation after transplantation.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
22111247
Volume :
4
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Cell Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.1caf49e311cd490a9bd70c469f4ea5ca
Document Type :
article
Full Text :
https://doi.org/10.1016/j.celrep.2013.08.022