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

Shunqiang Li(Washington University in St. Louis), Dong Shen(Washington University in St. Louis), Jieya Shao(Washington University in St. Louis), Robert J. Crowder(Washington University in St. Louis), Wenbin Liu(The University of Texas MD Anderson Cancer Center), Aleix Prat(University of North Carolina at Chapel Hill), Xiaping He(University of North Carolina at Chapel Hill), Shuying Liu(The University of Texas MD Anderson Cancer Center), Jeremy Hoog(Washington University in St. Louis), Charles Lu(Washington University in St. Louis), Li Ding(Washington University in St. Louis), Obi L. Griffith(Washington University in St. Louis), Christopher A. Miller(Washington University in St. Louis), Dave Larson(Washington University in St. Louis), Robert S. Fulton(Washington University in St. Louis), Michelle Harrison(Washington University in St. Louis), Tom Mooney(Washington University in St. Louis), Joshua F. McMichael(Washington University in St. Louis), Jingqin Luo(Washington University in St. Louis), Tao Yu(Washington University in St. Louis), Rodrigo Gonçalves(Washington University in St. Louis), Christopher Schlosberg(Washington University in St. Louis), Jeffrey Hiken(Washington University in St. Louis), Laila Saied(Washington University in St. Louis), César Sánchez(Pontificia Universidad Católica de Chile), Therese Giuntoli(Washington University in St. Louis), Caroline Bumb(Washington University in St. Louis), Crystal Cooper(Washington University in St. Louis), Robert T. Kitchens(Washington University in St. Louis), Austin Lin(Washington University in St. Louis), Chanpheng Phommaly(Washington University in St. Louis), Sherri R. Davies(Washington University in St. Louis), Jin Zhang(Washington University in St. Louis), Megha Shyam Kavuri(Washington University in St. Louis), Donna McEachern(University of Michigan), Yi Dong(Washington University in St. Louis), X. Cynthia(Washington University in St. Louis), Timothy Pluard(Washington University in St. Louis), Michael Naughton(Washington University in St. Louis), Ron Bose(Washington University in St. Louis), Rama Suresh(Washington University in St. Louis), R. McDowell(Washington University in St. Louis), Loren Michel(Washington University in St. Louis), Rebecca Aft(Washington University in St. Louis), William E. Gillanders(Washington University in St. Louis), Katherine DeSchryver(Washington University in St. Louis), Richard K. Wilson(Washington University in St. Louis), Shaomeng Wang(University of Michigan), Gordon B. Mills(The University of Texas MD Anderson Cancer Center), Ana M. González-Angulo(The University of Texas MD Anderson Cancer Center), John R. Edwards(Washington University in St. Louis), Christopher A. Maher(Washington University in St. Louis), Charles M. Perou(University of North Carolina at Chapel Hill), Elaine R. Mardis(Washington University in St. Louis), Matthew J. Ellis(Washington University in St. Louis)
Cell Reports
September 1, 2013
Cited by 622Open Access
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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.


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