Cargando…

Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis

BACKGROUND: Breast cancer patient-derived xenograft (BC-PDX) models represent a continuous and reproducible source of circulating tumor cells (CTCs) for studying their role in tumor biology and metastasis. We have previously shown the utility of BC-PDX models in the study of CTCs by immunohistochemi...

Descripción completa

Detalles Bibliográficos
Autores principales: Ramirez, Arturo B., Bhat, Raksha, Sahay, Debashish, De Angelis, Carmine, Thangavel, Hariprasad, Hedayatpour, Sina, Dobrolecki, Lacey E., Nardone, Agostina, Giuliano, Mario, Nagi, Chandandeep, Rimawi, Mothaffar, Osborne, C. Kent, Lewis, Michael T., Stilwell, Jackie L., Kaldjian, Eric P., Schiff, Rachel, Trivedi, Meghana V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419430/
https://www.ncbi.nlm.nih.gov/pubmed/30871481
http://dx.doi.org/10.1186/s12885-019-5382-1
_version_ 1783403943933509632
author Ramirez, Arturo B.
Bhat, Raksha
Sahay, Debashish
De Angelis, Carmine
Thangavel, Hariprasad
Hedayatpour, Sina
Dobrolecki, Lacey E.
Nardone, Agostina
Giuliano, Mario
Nagi, Chandandeep
Rimawi, Mothaffar
Osborne, C. Kent
Lewis, Michael T.
Stilwell, Jackie L.
Kaldjian, Eric P.
Schiff, Rachel
Trivedi, Meghana V.
author_facet Ramirez, Arturo B.
Bhat, Raksha
Sahay, Debashish
De Angelis, Carmine
Thangavel, Hariprasad
Hedayatpour, Sina
Dobrolecki, Lacey E.
Nardone, Agostina
Giuliano, Mario
Nagi, Chandandeep
Rimawi, Mothaffar
Osborne, C. Kent
Lewis, Michael T.
Stilwell, Jackie L.
Kaldjian, Eric P.
Schiff, Rachel
Trivedi, Meghana V.
author_sort Ramirez, Arturo B.
collection PubMed
description BACKGROUND: Breast cancer patient-derived xenograft (BC-PDX) models represent a continuous and reproducible source of circulating tumor cells (CTCs) for studying their role in tumor biology and metastasis. We have previously shown the utility of BC-PDX models in the study of CTCs by immunohistochemistry (IHC) on serial paraffin sections and manual microscopic identification of cytokeratin-positive cells, a method that is both low-throughput and labor-intensive. We therefore aimed to identify and characterize CTCs from small volume mouse blood samples and examined its practical workflow in a study of BC-PDX mice treated with chemotherapy using an automated imaging platform, the AccuCyte®–CyteFinder® system. METHODS: CTC analysis was conducted using blood from non-tumor bearing SCID/Beige mice spiked with human breast cancer cells, BC-PDX-bearing mice, and BC-PDX mice treated with vehicle or chemotherapeutic agent(s). After red blood cell lysis, nucleated cells were mixed with transfer solution, processed onto microscope slides, and stained by immunofluorescence. The CyteFinder automated scanning microscope was used to identify CTCs, defined as nucleated cells that were human cytokeratin-positive, and mouse CD45-negative. Disaggregated primary BC-PDX tumors and lung metastatic nodules were processed using the same immunostaining protocol. Collective expression of breast cancer cell surface markers (EpCAM, EGFR, and HER2) using a cocktail of target-specific antibodies was assessed. CTCs and disaggregated tumor cells were individually retrieved from slides using the CytePicker® module for sequence analysis of a BC-PDX tumor-specific PIK3CA mutation. RESULTS: The recovery rate of human cancer cells spiked into murine blood was 83 ± 12%. CTC detection was not significantly different from the IHC method. One-third of CTCs did not stain positive for cell surface markers. A PIK3CA T1035A mutation present in a BC-PDX tumor was confirmed in isolated single CTCs and cells from dissociated metastatic nodules after whole genome amplification and sequencing. CTC evaluation could be simply implemented into a preclinical PDX therapeutic study setting with substantial improvements in workflow over the IHC method. CONCLUSIONS: Analysis of small volume blood samples from BC-PDX-bearing mice using the AccuCyte–CyteFinder system allows investigation of the role of CTCs in tumor biology and metastasis independent of surface marker expression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5382-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6419430
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-64194302019-03-27 Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis Ramirez, Arturo B. Bhat, Raksha Sahay, Debashish De Angelis, Carmine Thangavel, Hariprasad Hedayatpour, Sina Dobrolecki, Lacey E. Nardone, Agostina Giuliano, Mario Nagi, Chandandeep Rimawi, Mothaffar Osborne, C. Kent Lewis, Michael T. Stilwell, Jackie L. Kaldjian, Eric P. Schiff, Rachel Trivedi, Meghana V. BMC Cancer Research Article BACKGROUND: Breast cancer patient-derived xenograft (BC-PDX) models represent a continuous and reproducible source of circulating tumor cells (CTCs) for studying their role in tumor biology and metastasis. We have previously shown the utility of BC-PDX models in the study of CTCs by immunohistochemistry (IHC) on serial paraffin sections and manual microscopic identification of cytokeratin-positive cells, a method that is both low-throughput and labor-intensive. We therefore aimed to identify and characterize CTCs from small volume mouse blood samples and examined its practical workflow in a study of BC-PDX mice treated with chemotherapy using an automated imaging platform, the AccuCyte®–CyteFinder® system. METHODS: CTC analysis was conducted using blood from non-tumor bearing SCID/Beige mice spiked with human breast cancer cells, BC-PDX-bearing mice, and BC-PDX mice treated with vehicle or chemotherapeutic agent(s). After red blood cell lysis, nucleated cells were mixed with transfer solution, processed onto microscope slides, and stained by immunofluorescence. The CyteFinder automated scanning microscope was used to identify CTCs, defined as nucleated cells that were human cytokeratin-positive, and mouse CD45-negative. Disaggregated primary BC-PDX tumors and lung metastatic nodules were processed using the same immunostaining protocol. Collective expression of breast cancer cell surface markers (EpCAM, EGFR, and HER2) using a cocktail of target-specific antibodies was assessed. CTCs and disaggregated tumor cells were individually retrieved from slides using the CytePicker® module for sequence analysis of a BC-PDX tumor-specific PIK3CA mutation. RESULTS: The recovery rate of human cancer cells spiked into murine blood was 83 ± 12%. CTC detection was not significantly different from the IHC method. One-third of CTCs did not stain positive for cell surface markers. A PIK3CA T1035A mutation present in a BC-PDX tumor was confirmed in isolated single CTCs and cells from dissociated metastatic nodules after whole genome amplification and sequencing. CTC evaluation could be simply implemented into a preclinical PDX therapeutic study setting with substantial improvements in workflow over the IHC method. CONCLUSIONS: Analysis of small volume blood samples from BC-PDX-bearing mice using the AccuCyte–CyteFinder system allows investigation of the role of CTCs in tumor biology and metastasis independent of surface marker expression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5382-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-12 /pmc/articles/PMC6419430/ /pubmed/30871481 http://dx.doi.org/10.1186/s12885-019-5382-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ramirez, Arturo B.
Bhat, Raksha
Sahay, Debashish
De Angelis, Carmine
Thangavel, Hariprasad
Hedayatpour, Sina
Dobrolecki, Lacey E.
Nardone, Agostina
Giuliano, Mario
Nagi, Chandandeep
Rimawi, Mothaffar
Osborne, C. Kent
Lewis, Michael T.
Stilwell, Jackie L.
Kaldjian, Eric P.
Schiff, Rachel
Trivedi, Meghana V.
Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
title Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
title_full Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
title_fullStr Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
title_full_unstemmed Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
title_short Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
title_sort circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419430/
https://www.ncbi.nlm.nih.gov/pubmed/30871481
http://dx.doi.org/10.1186/s12885-019-5382-1
work_keys_str_mv AT ramirezarturob circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT bhatraksha circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT sahaydebashish circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT deangeliscarmine circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT thangavelhariprasad circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT hedayatpoursina circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT dobroleckilaceye circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT nardoneagostina circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT giulianomario circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT nagichandandeep circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT rimawimothaffar circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT osborneckent circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT lewismichaelt circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT stilwelljackiel circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT kaldjianericp circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT schiffrachel circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis
AT trivedimeghanav circulatingtumorcellinvestigationinbreastcancerpatientderivedxenograftmodelsbyautomatedimmunofluorescencestainingimageacquisitionandsinglecellretrievalandanalysis