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High-recovery visual identification and single-cell retrieval of circulating tumor cells for genomic analysis using a dual-technology platform integrated with automated immunofluorescence staining

Overview of attention for article published in BMC Cancer, May 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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6 X users
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Citations

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129 Mendeley
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Title
High-recovery visual identification and single-cell retrieval of circulating tumor cells for genomic analysis using a dual-technology platform integrated with automated immunofluorescence staining
Published in
BMC Cancer, May 2015
DOI 10.1186/s12885-015-1383-x
Pubmed ID
Authors

Daniel E Campton, Arturo B Ramirez, Joshua J Nordberg, Nick Drovetto, Alisa C Clein, Paulina Varshavskaya, Barry H Friemel, Steve Quarre, Amy Breman, Michael Dorschner, Sibel Blau, C Anthony Blau, Daniel E Sabath, Jackie L Stilwell, Eric P Kaldjian

Abstract

Circulating tumor cells (CTCs) are malignant cells that have migrated from solid cancers into the blood, where they are typically present in rare numbers. There is great interest in using CTCs to monitor response to therapies, to identify clinically actionable biomarkers, and to provide a non-invasive window on the molecular state of a tumor. Here we characterize the performance of the AccuCyte® - CyteFinder® system, a comprehensive, reproducible and highly sensitive platform for collecting, identifying and retrieving individual CTCs from microscopic slides for molecular analysis after automated immunofluorescence staining for epithelial markers. All experiments employed a density-based cell separation apparatus (AccuCyte) to separate nucleated cells from the blood and transfer them to microscopic slides. After staining, the slides were imaged using a digital scanning microscope (CyteFinder). Precisely counted model CTCs (mCTCs) from four cancer cell lines were spiked into whole blood to determine recovery rates. Individual mCTCs were removed from slides using a single-cell retrieval device (CytePicker™) for whole genome amplification and subsequent analysis by PCR and Sanger sequencing, whole exome sequencing, or array-based comparative genomic hybridization. Clinical CTCs were evaluated in blood samples from patients with different cancers in comparison with the CellSearch® system. AccuCyte - CyteFinder presented high-resolution images that allowed identification of mCTCs by morphologic and phenotypic features. Spike-in mCTC recoveries were between 90 and 91%. More than 80% of single-digit spike-in mCTCs were identified and even a single cell in 7.5 mL could be found. Analysis of single SKBR3 mCTCs identified presence of a known TP53 mutation by both PCR and whole exome sequencing, and confirmed the reported karyotype of this cell line. Patient sample CTC counts matched or exceeded CellSearch CTC counts in a small feasibility cohort. The AccuCyte - CyteFinder system is a comprehensive and sensitive platform for identification and characterization of CTCs that has been applied to the assessment of CTCs in cancer patient samples as well as the isolation of single cells for genomic analysis. It thus enables accurate non-invasive monitoring of CTCs and evolving cancer biology for personalized, molecularly-guided cancer treatment.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Belgium 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 28%
Researcher 28 22%
Student > Master 15 12%
Student > Bachelor 6 5%
Student > Doctoral Student 4 3%
Other 17 13%
Unknown 23 18%
Readers by discipline Count As %
Engineering 23 18%
Biochemistry, Genetics and Molecular Biology 23 18%
Agricultural and Biological Sciences 19 15%
Medicine and Dentistry 18 14%
Chemistry 7 5%
Other 15 12%
Unknown 24 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2017.
All research outputs
#7,214,124
of 22,803,211 outputs
Outputs from BMC Cancer
#1,945
of 8,297 outputs
Outputs of similar age
#86,654
of 264,554 outputs
Outputs of similar age from BMC Cancer
#57
of 242 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,297 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.