Circulating Tumor Cells: Clinically Relevant Molecular Access Based on a Novel CTC Flow Cell
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{"title"=>"Circulating tumor cells: Clinically relevant molecular access based on a novel CTC flow cell", "type"=>"journal", "authors"=>[{"first_name"=>"Jessamine P.", "last_name"=>"Winer-Jones", "scopus_author_id"=>"56157394900"}, {"first_name"=>"Behrad", "last_name"=>"Vahidi", "scopus_author_id"=>"56354079600"}, {"first_name"=>"Norma", "last_name"=>"Arquilevich", "scopus_author_id"=>"56157265000"}, {"first_name"=>"Cong", "last_name"=>"Fang", "scopus_author_id"=>"56157297400"}, {"first_name"=>"Samuel", "last_name"=>"Ferguson", "scopus_author_id"=>"56156536000"}, {"first_name"=>"Darren", "last_name"=>"Harkins", "scopus_author_id"=>"56157894500"}, {"first_name"=>"Cory", "last_name"=>"Hill", "scopus_author_id"=>"56157791900"}, {"first_name"=>"Erich", "last_name"=>"Klem", "scopus_author_id"=>"57103323200"}, {"first_name"=>"Paul C.", "last_name"=>"Pagano", "scopus_author_id"=>"57196530422"}, {"first_name"=>"Chrissy", "last_name"=>"Peasley", "scopus_author_id"=>"56157875700"}, {"first_name"=>"Juan", "last_name"=>"Romero", "scopus_author_id"=>"57199691945"}, {"first_name"=>"Robert", "last_name"=>"Shartle", "scopus_author_id"=>"56156874900"}, {"first_name"=>"Robert C.", "last_name"=>"Vasko", "scopus_author_id"=>"57088519200"}, {"first_name"=>"William M.", "last_name"=>"Strauss", "scopus_author_id"=>"57197043100"}, {"first_name"=>"Paul W.", "last_name"=>"Dempsey", "scopus_author_id"=>"55782343600"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"373070607", "issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "doi"=>"10.1371/journal.pone.0086717", "scopus"=>"2-s2.0-84900449052", "pmid"=>"24489774", "sgr"=>"84900449052"}, "id"=>"e14fbcd4-9233-3770-bfc7-73734a1ae53b", "abstract"=>"BACKGROUND: Contemporary cancer diagnostics are becoming increasing reliant upon sophisticated new molecular methods for analyzing genetic information. Limiting the scope of these new technologies is the lack of adequate solid tumor tissue samples. Patients may present with tumors that are not accessible to biopsy or adequate for longitudinal monitoring. One attractive alternate source is cancer cells in the peripheral blood. These rare circulating tumor cells (CTC) require enrichment and isolation before molecular analysis can be performed. Current CTC platforms lack either the throughput or reliability to use in a clinical setting or they provide CTC samples at purities that restrict molecular access by limiting the molecular tools available.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: Recent advances in magetophoresis and microfluidics have been employed to produce an automated platform called LiquidBiopsy®. This platform uses high throughput sheath flow microfluidics for the positive selection of CTC populations. Furthermore the platform quantitatively isolates cells useful for molecular methods such as detection of mutations. CTC recovery was characterized and validated with an accuracy (<20% error) and a precision (CV<25%) down to at least 9 CTC/ml. Using anti-EpCAM antibodies as the capture agent, the platform recovers 78% of MCF7 cells within the linear range. Non specific recovery of background cells is independent of target cell density and averages 55 cells/mL. 10% purity can be achieved with as low as 6 CTCs/mL and better than 1% purity can be achieved with 1 CTC/mL.\\n\\nCONCLUSIONS/SIGNIFICANCE: The LiquidBiopsy platform is an automated validated platform that provides high throughput molecular access to the CTC population. It can be validated and integrated into the lab flow enabling CTC enumeration as well as recovery of consistently high purity samples for molecular analysis such as quantitative PCR and Next Generation Sequencing. This tool opens the way for clinically relevant genetic profiling of CTCs.", "link"=>"http://www.mendeley.com/research/circulating-tumor-cells-clinically-relevant-molecular-access-based-novel-ctc-flow-cell-1", "reader_count"=>64, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>20, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>22, "Student > Postgraduate"=>1, "Other"=>6, "Student > Master"=>6, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>20, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>22, "Student > Postgraduate"=>1, "Other"=>6, "Student > Master"=>6, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>9, "Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>7, "Materials Science"=>1, "Medicine and Dentistry"=>13, "Agricultural and Biological Sciences"=>21, "Design"=>1, "Physics and Astronomy"=>1, "Chemistry"=>5, "Computer Science"=>3, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>9}, "Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>13}, "Chemistry"=>{"Chemistry"=>5}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>21}, "Computer Science"=>{"Computer Science"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>7}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"United States"=>4, "United Kingdom"=>1, "France"=>1, "Germany"=>1, "India"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1366258"], "description"=>"<p>(A) Diagram of the LiquidBiopsy platform. (B) Closeup of the platform worksurface. A X-Y pipetting arm with 4 pipettor heads transfers sample, buffers and antibody stains into 4 flow cells in the manifold. Sheath buffers are controlled by pumps on the rear wall of the platform.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms", "automated"], "article_id"=>917900, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.g003", "stats"=>{"downloads"=>4, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_LiquidBiopsy_automated_platform_/917900", "title"=>"LiquidBiopsy automated platform.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366252"], "description"=>"<p>(A) Flow cytometry histograms of H1650, BT20, H1419, SK-Mel-28 and MCF7 cells labeled with 1 ug/mL of anti Trop2, Muc1, Her2, MelCAM and EpCAM antibodies respectively. Control antibody threshold is indicated by the red line (B) Recovery and purity of target cells using magnetophoretic capture from NHD blood: 90 cells/mL were spiked into NHD blood and purified on the LiquidBiopsy platform. Recovered cells were enumerated in the flow cell. Graphs show average recovery and purity of target cells +/−1 SD from 4 experiments for H1650, BT20, H1419 and SK-Mel-28 capture and 100 experiments for MCF7 capture.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms"], "article_id"=>917894, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.g002", "stats"=>{"downloads"=>2, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_CTC_Flow_cell_operation_and_performance_/917894", "title"=>"CTC Flow cell operation and performance.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366263"], "description"=>"<p>Measurements of accuracy and precision of LiquidBiopsy capture of MCF7 and H1650 cells.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms", "precision", "liquidbiopsy", "mcf7", "h1650"], "article_id"=>917905, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.t001", "stats"=>{"downloads"=>3, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Measurements_of_accuracy_and_precision_of_LiquidBiopsy_capture_of_MCF7_and_H1650_cells_/917905", "title"=>"Measurements of accuracy and precision of LiquidBiopsy capture of MCF7 and H1650 cells.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366261"], "description"=>"<p>Results of a TaqMan PCR mutation assay for the EGFR Exon 19 deletion mutation in H1650 cells. DNA recovered from incremental numbers of H1650 tumor cells spiked into whole blood and processed on the LiquidBiopsy platform are indicated. The mutation is undetectable in whole blood even at the highest input.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms", "molecular", "detection", "cells", "recovered"], "article_id"=>917903, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.g005", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Direct_molecular_detection_of_tumor_cells_recovered_from_blood_/917903", "title"=>"Direct molecular detection of tumor cells recovered from blood.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366262"], "description"=>"<p>Results of intra and inter assay precision studies.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms", "intra", "inter", "assay", "precision"], "article_id"=>917904, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_intra_and_inter_assay_precision_studies_/917904", "title"=>"Results of intra and inter assay precision studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366260"], "description"=>"<p>(A) Plot of CTC recovery as a function of spike-in density for MCF7 and H1650 cells. (B) Plot of sample purity as a function of spike in density for MCF7 and H1650 cells. The orange dots indicate the predicted purity of MCF7 cells if the non target recovery is held constant at 55 cells/mL. (C) Raw data and linear fit to MCF7 recovery curve from 9 to 90 cells/mL. (D) Raw data and linear fit to H1650 recovery curve from 9 to 300 cells/mL.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms", "automated", "ctc", "liquidbiopsy"], "article_id"=>917902, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.g004", "stats"=>{"downloads"=>3, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Validation_of_Automated_CTC_flow_cell_operation_on_LiquidBiopsy_platform_/917902", "title"=>"Validation of Automated CTC flow cell operation on LiquidBiopsy platform.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366251"], "description"=>"<p>(A) The LiquidBiopsy CTC flow cell. (B) A cartoon illustrating how target cells are pulled from the sheath flow while non targets move through the flow cell unhindered. (C) Efficiency of recovery of target cells using EpCAM based recovery: Incremental numbers of MCF7 (N = 34), HCC1419 (N = 27) or A549 (N = 65) cells were spiked into NHD blood and purified on the CTC flow cell. Recovered cells were enumerated in the flow cell. Graphs show number of targets spiked per mL of blood against the yield +/−1 SD from an average of between 7 and 27 experiments.</p>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms"], "article_id"=>917893, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086717.g001", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_CTC_Flow_cell_operation_and_performance_/917893", "title"=>"CTC Flow cell operation and performance.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-29 03:42:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1366266", "https://ndownloader.figshare.com/files/1366267", "https://ndownloader.figshare.com/files/1366268", "https://ndownloader.figshare.com/files/1366269", "https://ndownloader.figshare.com/files/1366270", "https://ndownloader.figshare.com/files/1366271", "https://ndownloader.figshare.com/files/1366272", "https://ndownloader.figshare.com/files/1366273"], "description"=>"<div><p>Background</p><p>Contemporary cancer diagnostics are becoming increasing reliant upon sophisticated new molecular methods for analyzing genetic information. Limiting the scope of these new technologies is the lack of adequate solid tumor tissue samples. Patients may present with tumors that are not accessible to biopsy or adequate for longitudinal monitoring. One attractive alternate source is cancer cells in the peripheral blood. These rare circulating tumor cells (CTC) require enrichment and isolation before molecular analysis can be performed. Current CTC platforms lack either the throughput or reliability to use in a clinical setting or they provide CTC samples at purities that restrict molecular access by limiting the molecular tools available.</p><p>Methodology/Principal Findings</p><p>Recent advances in magetophoresis and microfluidics have been employed to produce an automated platform called LiquidBiopsy®. This platform uses high throughput sheath flow microfluidics for the positive selection of CTC populations. Furthermore the platform quantitatively isolates cells useful for molecular methods such as detection of mutations. CTC recovery was characterized and validated with an accuracy (<20% error) and a precision (CV<25%) down to at least 9 CTC/ml. Using anti-EpCAM antibodies as the capture agent, the platform recovers 78% of MCF7 cells within the linear range. Non specific recovery of background cells is independent of target cell density and averages 55 cells/mL. 10% purity can be achieved with as low as 6 CTCs/mL and better than 1% purity can be achieved with 1 CTC/mL.</p><p>Conclusions/Significance</p><p>The LiquidBiopsy platform is an automated validated platform that provides high throughput molecular access to the CTC population. It can be validated and integrated into the lab flow enabling CTC enumeration as well as recovery of consistently high purity samples for molecular analysis such as quantitative PCR and Next Generation Sequencing. This tool opens the way for clinically relevant genetic profiling of CTCs.</p></div>", "links"=>[], "tags"=>["biotechnology", "genetics", "Cancer genetics", "Molecular cell biology", "cytometry", "flow cytometry", "Diagnostic medicine", "Test evaluation", "oncology", "Basic cancer research", "metastasis", "Cancer detection and diagnosis", "Cancer screening", "Cancer treatment", "Cancers and neoplasms", "clinically", "molecular", "ctc"], "article_id"=>917907, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jessamine P. Winer-Jones", "Behrad Vahidi", "Norma Arquilevich", "Cong Fang", "Samuel Ferguson", "Darren Harkins", "Cory Hill", "Erich Klem", "Paul C. Pagano", "Chrissy Peasley", "Juan Romero", "Robert Shartle", "Robert C. Vasko", "William M. Strauss", "Paul W. Dempsey"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0086717.s001", "https://dx.doi.org/10.1371/journal.pone.0086717.s002", "https://dx.doi.org/10.1371/journal.pone.0086717.s003", "https://dx.doi.org/10.1371/journal.pone.0086717.s004", "https://dx.doi.org/10.1371/journal.pone.0086717.s005", "https://dx.doi.org/10.1371/journal.pone.0086717.s006", "https://dx.doi.org/10.1371/journal.pone.0086717.s007", "https://dx.doi.org/10.1371/journal.pone.0086717.s008"], "stats"=>{"downloads"=>7, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Circulating_Tumor_Cells_Clinically_Relevant_Molecular_Access_Based_on_a_Novel_CTC_Flow_Cell_/917907", "title"=>"Circulating Tumor Cells: Clinically Relevant Molecular Access Based on a Novel CTC Flow Cell", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-29 03:42:30"}

PMC Usage Stats | Further Information

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