Dynamic CTC phenotypes in metastatic prostate cancer models visualized using magnetic ranking cytometry

Leyla Kermanshah; Mahla Poudineh; Sharif Ahmed; L. N.Matthew Nguyen; Sanjana Srikant; Rhema Makonnen; Fernando Pena Cantu; Michael Corrigan; Shana O. Kelley

doi:10.1039/c8lc00310f

Dynamic CTC phenotypes in metastatic prostate cancer models visualized using magnetic ranking cytometry

Leyla Kermanshah, Mahla Poudineh, Sharif Ahmed, L. N.Matthew Nguyen, Sanjana Srikant, Rhema Makonnen, Fernando Pena Cantu, Michael Corrigan, Shana O. Kelley^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

Tumors can shed thousands of cells into the circulation daily. These circulating tumor cells (CTCs) are heterogeneous, and their phenotypes change dynamically. Real-time monitoring of CTC phenotypes is crucial to elucidate the role of CTCs in the metastatic cascade. Here, we monitor phenotypic changes in CTCs in mice xenografted with tumors with varying aggressiveness during cancer progression and a course of chemotherapy to study the metastatic potential of CTCs and changes in the properties of these cells in response to treatment. A new device that enables magnetic ranking cytometry (MagRC) is employed to profile the phenotypic properties of CTCs. Overall, CTCs from metastatic xenografts in mice display dynamic and heterogeneous profiles while non-metastatic models had static profiles. Decreased heterogeneity followed by a reduction in metastasis incidence was observed after a course of chemotherapy administered to highly metastatic xenografts. Phenotypic profiling of CTCs could be employed to monitor disease progression and predict therapeutic responses.

Original language	English (US)
Pages (from-to)	2055-2064
Number of pages	10
Journal	Lab on a Chip
Volume	18
Issue number	14
DOIs	https://doi.org/10.1039/c8lc00310f
State	Published - Jul 21 2018
Externally published	Yes

ASJC Scopus subject areas

Bioengineering
Biochemistry
Chemistry(all)
Biomedical Engineering

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@article{013e23776ecf40a68206ba5dfc89f760,

title = "Dynamic CTC phenotypes in metastatic prostate cancer models visualized using magnetic ranking cytometry",

abstract = "Tumors can shed thousands of cells into the circulation daily. These circulating tumor cells (CTCs) are heterogeneous, and their phenotypes change dynamically. Real-time monitoring of CTC phenotypes is crucial to elucidate the role of CTCs in the metastatic cascade. Here, we monitor phenotypic changes in CTCs in mice xenografted with tumors with varying aggressiveness during cancer progression and a course of chemotherapy to study the metastatic potential of CTCs and changes in the properties of these cells in response to treatment. A new device that enables magnetic ranking cytometry (MagRC) is employed to profile the phenotypic properties of CTCs. Overall, CTCs from metastatic xenografts in mice display dynamic and heterogeneous profiles while non-metastatic models had static profiles. Decreased heterogeneity followed by a reduction in metastasis incidence was observed after a course of chemotherapy administered to highly metastatic xenografts. Phenotypic profiling of CTCs could be employed to monitor disease progression and predict therapeutic responses.",

author = "Leyla Kermanshah and Mahla Poudineh and Sharif Ahmed and Nguyen, {L. N.Matthew} and Sanjana Srikant and Rhema Makonnen and {Pena Cantu}, Fernando and Michael Corrigan and Kelley, {Shana O.}",

note = "Funding Information: Research reported in this publication was supported by the Canadian Institutes of Health Research (grant no. CPG-146464), the Natural Sciences and Engineering Research Council of Canada (grant no. CHRPJ 493632-16), and the National Cancer Institute of the National Institutes of Health (grant no. R33CA204574). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the other funding agencies. Publisher Copyright: {\textcopyright} 2018 The Royal Society of Chemistry.",

year = "2018",

month = jul,

day = "21",

doi = "10.1039/c8lc00310f",

language = "English (US)",

volume = "18",

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TY - JOUR

T1 - Dynamic CTC phenotypes in metastatic prostate cancer models visualized using magnetic ranking cytometry

AU - Kermanshah, Leyla

AU - Poudineh, Mahla

AU - Ahmed, Sharif

AU - Nguyen, L. N.Matthew

AU - Srikant, Sanjana

AU - Makonnen, Rhema

AU - Pena Cantu, Fernando

AU - Corrigan, Michael

AU - Kelley, Shana O.

N1 - Funding Information: Research reported in this publication was supported by the Canadian Institutes of Health Research (grant no. CPG-146464), the Natural Sciences and Engineering Research Council of Canada (grant no. CHRPJ 493632-16), and the National Cancer Institute of the National Institutes of Health (grant no. R33CA204574). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the other funding agencies. Publisher Copyright: © 2018 The Royal Society of Chemistry.

PY - 2018/7/21

Y1 - 2018/7/21

N2 - Tumors can shed thousands of cells into the circulation daily. These circulating tumor cells (CTCs) are heterogeneous, and their phenotypes change dynamically. Real-time monitoring of CTC phenotypes is crucial to elucidate the role of CTCs in the metastatic cascade. Here, we monitor phenotypic changes in CTCs in mice xenografted with tumors with varying aggressiveness during cancer progression and a course of chemotherapy to study the metastatic potential of CTCs and changes in the properties of these cells in response to treatment. A new device that enables magnetic ranking cytometry (MagRC) is employed to profile the phenotypic properties of CTCs. Overall, CTCs from metastatic xenografts in mice display dynamic and heterogeneous profiles while non-metastatic models had static profiles. Decreased heterogeneity followed by a reduction in metastasis incidence was observed after a course of chemotherapy administered to highly metastatic xenografts. Phenotypic profiling of CTCs could be employed to monitor disease progression and predict therapeutic responses.

AB - Tumors can shed thousands of cells into the circulation daily. These circulating tumor cells (CTCs) are heterogeneous, and their phenotypes change dynamically. Real-time monitoring of CTC phenotypes is crucial to elucidate the role of CTCs in the metastatic cascade. Here, we monitor phenotypic changes in CTCs in mice xenografted with tumors with varying aggressiveness during cancer progression and a course of chemotherapy to study the metastatic potential of CTCs and changes in the properties of these cells in response to treatment. A new device that enables magnetic ranking cytometry (MagRC) is employed to profile the phenotypic properties of CTCs. Overall, CTCs from metastatic xenografts in mice display dynamic and heterogeneous profiles while non-metastatic models had static profiles. Decreased heterogeneity followed by a reduction in metastasis incidence was observed after a course of chemotherapy administered to highly metastatic xenografts. Phenotypic profiling of CTCs could be employed to monitor disease progression and predict therapeutic responses.

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Dynamic CTC phenotypes in metastatic prostate cancer models visualized using magnetic ranking cytometry

Abstract

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