Evidence map›Paper›PMID 23387387›Full record

ArticleAnalytical chemistry2013

An automated high-throughput counting method for screening circulating tumor cells in peripheral blood.

Mengxia Zhao, Perry G Schiro, Jason S Kuo, Karen M Koehler, Daniel E Sabath, Viorica Popov, Qinghua Feng, Daniel T Chiu

Abstract read
In one paragraph

Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mengxia ZhaoDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Perry G Schiro
Jason S Kuo
Karen M Koehler
Daniel E Sabath
Viorica Popov
Qinghua Feng
Daniel T Chiu

Funding

High Sensitivity Detection and Isolation of Circulating Tumor CellsR21CA147831 · NCI · UNIVERSITY OF WASHINGTON · PI CHIU, DANIEL T · 2010 to 2012
$631k
NCI NIH HHS R21 CA147831NCI NIH HHS R21CA147831
6 · The paper itself

Abstract

Enumeration of circulating tumor cells (CTCs) has proved valuable for early detection and prognosis in cancer treatment. This paper describes an automated high-throughput counting method for CTCs based on microfluidics and line-confocal microscopy. Peripheral blood was directly labeled with multiple antibodies, each conjugated with a different fluorophore, pneumatically pumped through a microfluidic channel, and interrogated by a line-confocal microscope. On the basis of the fluorescence signals and labeling schemes, the count of CTCs was automatically reported. Due to the high flow rate, 1 mL of whole blood can be analyzed in less than 30 min. We applied this method in analyzing CTCs from 90 stage IV breast cancer patient samples and performed a side-by-side comparison with the results of the CellSearch assay, which is the only method approved by the U.S. Food and Drug Administration at present for enumeration of CTCs. This method has a recovery rate for cultured breast cancer cells of 94% (n = 9), with an average of 1.2 counts/mL of background level of detected CTCs from healthy donors. It detected CTCs from breast cancer patients ranging from 15 to 3375 counts/7.5 mL. Using this method, we also demonstrate the ability to enumerate CTCs from breast cancer patients that were positive for Her2 or CD44(+)/CD24(-), which is a putative cancer stem cell marker. This automated method can enumerate CTCs from peripheral blood with high throughput and sensitivity. It could potentially benefit the clinical diagnosis and prognosis of cancer.

Indexed as

Neoplastic Cells, CirculatingAntibodiesAntigens, NeoplasmAutomationCell Adhesion MoleculesCell CountEpithelial Cell Adhesion MoleculeFluorescent DyesHumansMCF-7 CellsMicrofluidic Analytical TechniquesMicroscopy, ConfocalAntibodiesAntigens, NeoplasmCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeFluorescent Dyes

Identifiers

PMID23387387
PMCPMC3586433

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.