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Published in: Breast Cancer Research 2/2014

Open Access 01-04-2014 | Research article

Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition

Authors: Haiyu Zhang, Adam L Cohen, Sujatha Krishnakumar, Irene L Wapnir, Selvaraju Veeriah, Glenn Deng, Marc A Coram, Caroline M Piskun, Teri A Longacre, Michael Herrler, Daniel O Frimannsson, Melinda L Telli, Frederick M Dirbas, AC Matin, Shanaz H Dairkee, Banafshe Larijani, Gennadi V Glinsky, Andrea H Bild, Stefanie S Jeffrey

Published in: Breast Cancer Research | Issue 2/2014

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Abstract

Introduction

Triple-negative breast cancer (TNBC) is aggressive and lacks targeted therapies. Phosphatidylinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) pathways are frequently activated in TNBC patient tumors at the genome, gene expression and protein levels, and mTOR inhibitors have been shown to inhibit growth in TNBC cell lines. We describe a panel of patient-derived xenografts representing multiple TNBC subtypes and use them to test preclinical drug efficacy of two mTOR inhibitors, sirolimus (rapamycin) and temsirolimus (CCI-779).

Methods

We generated a panel of seven patient-derived orthotopic xenografts from six primary TNBC tumors and one metastasis. Patient tumors and corresponding xenografts were compared by histology, immunohistochemistry, array comparative genomic hybridization (aCGH) and phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA) sequencing; TNBC subtypes were determined. Using a previously published logistic regression approach, we generated a rapamycin response signature from Connectivity Map gene expression data and used it to predict rapamycin sensitivity in 1,401 human breast cancers of different intrinsic subtypes, prompting in vivo testing of mTOR inhibitors and doxorubicin in our TNBC xenografts.

Results

Patient-derived xenografts recapitulated histology, biomarker expression and global genomic features of patient tumors. Two primary tumors had PIK3CA coding mutations, and five of six primary tumors showed flanking intron single nucleotide polymorphisms (SNPs) with conservation of sequence variations between primary tumors and xenografts, even on subsequent xenograft passages. Gene expression profiling showed that our models represent at least four of six TNBC subtypes. The rapamycin response signature predicted sensitivity for 94% of basal-like breast cancers in a large dataset. Drug testing of mTOR inhibitors in our xenografts showed 77 to 99% growth inhibition, significantly more than doxorubicin; protein phosphorylation studies indicated constitutive activation of the mTOR pathway that decreased with treatment. However, no tumor was completely eradicated.

Conclusions

A panel of patient-derived xenograft models covering a spectrum of TNBC subtypes was generated that histologically and genomically matched original patient tumors. Consistent with in silico predictions, mTOR inhibitor testing in our TNBC xenografts showed significant tumor growth inhibition in all, suggesting that mTOR inhibitors can be effective in TNBC, but will require use with additional therapies, warranting investigation of optimal drug combinations.
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Metadata
Title
Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition
Authors
Haiyu Zhang
Adam L Cohen
Sujatha Krishnakumar
Irene L Wapnir
Selvaraju Veeriah
Glenn Deng
Marc A Coram
Caroline M Piskun
Teri A Longacre
Michael Herrler
Daniel O Frimannsson
Melinda L Telli
Frederick M Dirbas
AC Matin
Shanaz H Dairkee
Banafshe Larijani
Gennadi V Glinsky
Andrea H Bild
Stefanie S Jeffrey
Publication date
01-04-2014
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 2/2014
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr3640

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Breast Cancer Research 2/2014 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
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