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Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes
BACKGROUND: Breast cancer patients who are resistant to neoadjuvant chemotherapy (NeoCT) have a poor prognosis. There is a pressing need to develop in vivo models of chemo resistant tumors to test novel therapeutics. We hypothesized that patient-derived breast cancer xenografts (BCXs) from chemo- na...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556673/ https://www.ncbi.nlm.nih.gov/pubmed/26325287 http://dx.doi.org/10.1371/journal.pone.0136851 |
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author | McAuliffe, Priscilla F. Evans, Kurt W. Akcakanat, Argun Chen, Ken Zheng, Xiaofeng Zhao, Hao Eterovic, Agda Karina Sangai, Takafumi Holder, Ashley M. Sharma, Chandeshwar Chen, Huiqin Do, Kim-Anh Tarco, Emily Gagea, Mihai Naff, Katherine A. Sahin, Aysegul Multani, Asha S. Black, Dalliah M. Mittendorf, Elizabeth A. Bedrosian, Isabelle Mills, Gordon B. Gonzalez-Angulo, Ana Maria Meric-Bernstam, Funda |
author_facet | McAuliffe, Priscilla F. Evans, Kurt W. Akcakanat, Argun Chen, Ken Zheng, Xiaofeng Zhao, Hao Eterovic, Agda Karina Sangai, Takafumi Holder, Ashley M. Sharma, Chandeshwar Chen, Huiqin Do, Kim-Anh Tarco, Emily Gagea, Mihai Naff, Katherine A. Sahin, Aysegul Multani, Asha S. Black, Dalliah M. Mittendorf, Elizabeth A. Bedrosian, Isabelle Mills, Gordon B. Gonzalez-Angulo, Ana Maria Meric-Bernstam, Funda |
author_sort | McAuliffe, Priscilla F. |
collection | PubMed |
description | BACKGROUND: Breast cancer patients who are resistant to neoadjuvant chemotherapy (NeoCT) have a poor prognosis. There is a pressing need to develop in vivo models of chemo resistant tumors to test novel therapeutics. We hypothesized that patient-derived breast cancer xenografts (BCXs) from chemo- naïve and chemotherapy-exposed tumors can provide high fidelity in vivo models for chemoresistant breast cancers. METHODS: Patient tumors and BCXs were characterized with short tandem repeat DNA fingerprinting, reverse phase protein arrays, molecular inversion probe arrays, and next generation sequencing. RESULTS: Forty-eight breast cancers (24 post-chemotherapy, 24 chemo-naïve) were implanted and 13 BCXs were established (27%). BCX engraftment was higher in TNBC compared to hormone-receptor positive cancer (53.8% vs. 15.6%, p = 0.02), in tumors from patients who received NeoCT (41.7% vs. 8.3%, p = 0.02), and in patients who had progressive disease on NeoCT (85.7% vs. 29.4%, p = 0.02). Twelve patients developed metastases after surgery; in five, BCXs developed before distant relapse. Patients whose tumors developed BCXs had a lower recurrence-free survival (p = 0.015) and overall survival (p<0.001). Genomic losses and gains could be detected in the BCX, and three models demonstrated a transformation to induce mouse tumors. However, overall, somatic mutation profiles including potential drivers were maintained upon implantation and serial passaging. One BCX model was cultured in vitro and re-implanted, maintaining its genomic profile. CONCLUSIONS: BCXs can be established from clinically aggressive breast cancers, especially in TNBC patients with poor response to NeoCT. Future studies will determine the potential of in vivo models for identification of genotype-phenotype correlations and individualization of treatment. |
format | Online Article Text |
id | pubmed-4556673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45566732015-09-10 Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes McAuliffe, Priscilla F. Evans, Kurt W. Akcakanat, Argun Chen, Ken Zheng, Xiaofeng Zhao, Hao Eterovic, Agda Karina Sangai, Takafumi Holder, Ashley M. Sharma, Chandeshwar Chen, Huiqin Do, Kim-Anh Tarco, Emily Gagea, Mihai Naff, Katherine A. Sahin, Aysegul Multani, Asha S. Black, Dalliah M. Mittendorf, Elizabeth A. Bedrosian, Isabelle Mills, Gordon B. Gonzalez-Angulo, Ana Maria Meric-Bernstam, Funda PLoS One Research Article BACKGROUND: Breast cancer patients who are resistant to neoadjuvant chemotherapy (NeoCT) have a poor prognosis. There is a pressing need to develop in vivo models of chemo resistant tumors to test novel therapeutics. We hypothesized that patient-derived breast cancer xenografts (BCXs) from chemo- naïve and chemotherapy-exposed tumors can provide high fidelity in vivo models for chemoresistant breast cancers. METHODS: Patient tumors and BCXs were characterized with short tandem repeat DNA fingerprinting, reverse phase protein arrays, molecular inversion probe arrays, and next generation sequencing. RESULTS: Forty-eight breast cancers (24 post-chemotherapy, 24 chemo-naïve) were implanted and 13 BCXs were established (27%). BCX engraftment was higher in TNBC compared to hormone-receptor positive cancer (53.8% vs. 15.6%, p = 0.02), in tumors from patients who received NeoCT (41.7% vs. 8.3%, p = 0.02), and in patients who had progressive disease on NeoCT (85.7% vs. 29.4%, p = 0.02). Twelve patients developed metastases after surgery; in five, BCXs developed before distant relapse. Patients whose tumors developed BCXs had a lower recurrence-free survival (p = 0.015) and overall survival (p<0.001). Genomic losses and gains could be detected in the BCX, and three models demonstrated a transformation to induce mouse tumors. However, overall, somatic mutation profiles including potential drivers were maintained upon implantation and serial passaging. One BCX model was cultured in vitro and re-implanted, maintaining its genomic profile. CONCLUSIONS: BCXs can be established from clinically aggressive breast cancers, especially in TNBC patients with poor response to NeoCT. Future studies will determine the potential of in vivo models for identification of genotype-phenotype correlations and individualization of treatment. Public Library of Science 2015-09-01 /pmc/articles/PMC4556673/ /pubmed/26325287 http://dx.doi.org/10.1371/journal.pone.0136851 Text en © 2015 McAuliffe et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article McAuliffe, Priscilla F. Evans, Kurt W. Akcakanat, Argun Chen, Ken Zheng, Xiaofeng Zhao, Hao Eterovic, Agda Karina Sangai, Takafumi Holder, Ashley M. Sharma, Chandeshwar Chen, Huiqin Do, Kim-Anh Tarco, Emily Gagea, Mihai Naff, Katherine A. Sahin, Aysegul Multani, Asha S. Black, Dalliah M. Mittendorf, Elizabeth A. Bedrosian, Isabelle Mills, Gordon B. Gonzalez-Angulo, Ana Maria Meric-Bernstam, Funda Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes |
title | Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes |
title_full | Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes |
title_fullStr | Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes |
title_full_unstemmed | Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes |
title_short | Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes |
title_sort | ability to generate patient-derived breast cancer xenografts is enhanced in chemoresistant disease and predicts poor patient outcomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556673/ https://www.ncbi.nlm.nih.gov/pubmed/26325287 http://dx.doi.org/10.1371/journal.pone.0136851 |
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