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Molecular Biomarker Analyses Using Circulating Tumor Cells

BACKGROUND: Evaluation of cancer biomarkers from blood could significantly enable biomarker assessment by providing a relatively non-invasive source of representative tumor material. Circulating Tumor Cells (CTCs) isolated from blood of metastatic cancer patients hold significant promise in this reg...

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Autores principales: Punnoose, Elizabeth A., Atwal, Siminder K., Spoerke, Jill M., Savage, Heidi, Pandita, Ajay, Yeh, Ru-Fang, Pirzkall, Andrea, Fine, Bernard M., Amler, Lukas C., Chen, Daniel S., Lackner, Mark R.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935889/
https://www.ncbi.nlm.nih.gov/pubmed/20838621
http://dx.doi.org/10.1371/journal.pone.0012517
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author Punnoose, Elizabeth A.
Atwal, Siminder K.
Spoerke, Jill M.
Savage, Heidi
Pandita, Ajay
Yeh, Ru-Fang
Pirzkall, Andrea
Fine, Bernard M.
Amler, Lukas C.
Chen, Daniel S.
Lackner, Mark R.
author_facet Punnoose, Elizabeth A.
Atwal, Siminder K.
Spoerke, Jill M.
Savage, Heidi
Pandita, Ajay
Yeh, Ru-Fang
Pirzkall, Andrea
Fine, Bernard M.
Amler, Lukas C.
Chen, Daniel S.
Lackner, Mark R.
author_sort Punnoose, Elizabeth A.
collection PubMed
description BACKGROUND: Evaluation of cancer biomarkers from blood could significantly enable biomarker assessment by providing a relatively non-invasive source of representative tumor material. Circulating Tumor Cells (CTCs) isolated from blood of metastatic cancer patients hold significant promise in this regard. METHODOLOGY/PRINCIPAL FINDINGS: Using spiked tumor-cells we evaluated CTC capture on different CTC technology platforms, including CellSearch® and two biochip platforms, and used the isolated CTCs to develop and optimize assays for molecular characterization of CTCs. We report similar performance for the various platforms tested in capturing CTCs, and find that capture efficiency is dependent on the level of EpCAM expression. We demonstrate that captured CTCs are amenable to biomarker analyses such as HER2 status, qRT-PCR for breast cancer subtype markers, KRAS mutation detection, and EGFR staining by immunofluorescence (IF). We quantify cell surface expression of EGFR in metastatic lung cancer patient samples. In addition, we determined HER2 status by IF and FISH in CTCs from metastatic breast cancer patients. In the majority of patients (89%) we found concordance with HER2 status from patient tumor tissue, though in a subset of patients (11%), HER2 status in CTCs differed from that observed in the primary tumor. Surprisingly, we found CTC counts to be higher in ER+ patients in comparison to HER2+ and triple negative patients, which could be explained by low EpCAM expression and a more mesenchymal phenotype of tumors belonging to the basal-like molecular subtype of breast cancer. CONCLUSIONS/SIGNIFICANCE: Our data suggests that molecular characterization from captured CTCs is possible and can potentially provide real-time information on biomarker status. In this regard, CTCs hold significant promise as a source of tumor material to facilitate clinical biomarker evaluation. However, limitations exist from a purely EpCAM based capture system and addition of antibodies to mesenchymal markers could further improve CTC capture efficiency to enable routine biomarker analysis from CTCs.
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spelling pubmed-29358892010-09-13 Molecular Biomarker Analyses Using Circulating Tumor Cells Punnoose, Elizabeth A. Atwal, Siminder K. Spoerke, Jill M. Savage, Heidi Pandita, Ajay Yeh, Ru-Fang Pirzkall, Andrea Fine, Bernard M. Amler, Lukas C. Chen, Daniel S. Lackner, Mark R. PLoS One Research Article BACKGROUND: Evaluation of cancer biomarkers from blood could significantly enable biomarker assessment by providing a relatively non-invasive source of representative tumor material. Circulating Tumor Cells (CTCs) isolated from blood of metastatic cancer patients hold significant promise in this regard. METHODOLOGY/PRINCIPAL FINDINGS: Using spiked tumor-cells we evaluated CTC capture on different CTC technology platforms, including CellSearch® and two biochip platforms, and used the isolated CTCs to develop and optimize assays for molecular characterization of CTCs. We report similar performance for the various platforms tested in capturing CTCs, and find that capture efficiency is dependent on the level of EpCAM expression. We demonstrate that captured CTCs are amenable to biomarker analyses such as HER2 status, qRT-PCR for breast cancer subtype markers, KRAS mutation detection, and EGFR staining by immunofluorescence (IF). We quantify cell surface expression of EGFR in metastatic lung cancer patient samples. In addition, we determined HER2 status by IF and FISH in CTCs from metastatic breast cancer patients. In the majority of patients (89%) we found concordance with HER2 status from patient tumor tissue, though in a subset of patients (11%), HER2 status in CTCs differed from that observed in the primary tumor. Surprisingly, we found CTC counts to be higher in ER+ patients in comparison to HER2+ and triple negative patients, which could be explained by low EpCAM expression and a more mesenchymal phenotype of tumors belonging to the basal-like molecular subtype of breast cancer. CONCLUSIONS/SIGNIFICANCE: Our data suggests that molecular characterization from captured CTCs is possible and can potentially provide real-time information on biomarker status. In this regard, CTCs hold significant promise as a source of tumor material to facilitate clinical biomarker evaluation. However, limitations exist from a purely EpCAM based capture system and addition of antibodies to mesenchymal markers could further improve CTC capture efficiency to enable routine biomarker analysis from CTCs. Public Library of Science 2010-09-08 /pmc/articles/PMC2935889/ /pubmed/20838621 http://dx.doi.org/10.1371/journal.pone.0012517 Text en Punnoose 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
Punnoose, Elizabeth A.
Atwal, Siminder K.
Spoerke, Jill M.
Savage, Heidi
Pandita, Ajay
Yeh, Ru-Fang
Pirzkall, Andrea
Fine, Bernard M.
Amler, Lukas C.
Chen, Daniel S.
Lackner, Mark R.
Molecular Biomarker Analyses Using Circulating Tumor Cells
title Molecular Biomarker Analyses Using Circulating Tumor Cells
title_full Molecular Biomarker Analyses Using Circulating Tumor Cells
title_fullStr Molecular Biomarker Analyses Using Circulating Tumor Cells
title_full_unstemmed Molecular Biomarker Analyses Using Circulating Tumor Cells
title_short Molecular Biomarker Analyses Using Circulating Tumor Cells
title_sort molecular biomarker analyses using circulating tumor cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935889/
https://www.ncbi.nlm.nih.gov/pubmed/20838621
http://dx.doi.org/10.1371/journal.pone.0012517
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