Evidence map›Paper›PMID 30334061›Full record

ArticleLab on a chip2018

Versatile exclusion-based sample preparation platform for integrated rare cell isolation and analyte extraction.

Hannah M Pezzi, David J Guckenberger, Jennifer L Schehr, Jacob Rothbauer, Charlotte Stahlfeld, Anupama Singh, Sacha Horn, Zachery D Schultz, Rory M Bade, Jamie M Sperger and 3 more

Abstract read
In one paragraph

Article in Lab on a chip, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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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

13 authors.

Hannah M PezziDepartment of Biomedical Engineering, Wisconsin Institutes for Medical Research, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, Wisconsin 53705, USA.
David J Guckenberger
Jennifer L Schehr
Jacob Rothbauer
Charlotte Stahlfeld
Anupama Singh
Sacha Horn
Zachery D Schultz
Rory M Bade
Jamie M Sperger
Scott M Berry
Joshua M Lang
David J Beebe

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
VERSA: An Integrated, Multi-Endpoint Platform for Circulating Tumor Cell AnalysisR01CA181648 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BERRY, SCOTT M, LANG, JOSHUA MICHAEL · 2014 to 2018
$1.6M
Microchannel cell-based assays to enable cancer researchR33CA137673 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J · 2009 to 2011
$1.4M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA181648NCI NIH HHS R33 CA137673
6 · The paper itself

Abstract

Rare cell populations provide a patient-centric tool to monitor disease treatment, response, and resistance. However, understanding rare cells is a complex problem, which requires cell isolation/purification and downstream molecular interrogation - processes challenged by non-target populations, which vary patient-to-patient and change with disease. As such, cell isolation platforms must be amenable to a range of sample types while maintaining high efficiency and purity. The multiplexed technology for automated extraction (mTAE) is a versatile magnetic bead-based isolation platform that facilitates positive, negative, and combinatorial selection with integrated protein staining and nucleic acid isolation. mTAE is validated by isolating circulating tumor cells (CTCs) - a model rare cell population - from breast and prostate cancer patient samples. Negative selection yielded high efficiency capture of CTCs while positive selection yielded higher purity with an average of only 95 contaminant cells captured per milliliter of processed whole blood. With combinatorial selection, an overall increase in capture efficiency was observed, highlighting the potential significance of integrating multiple capture approaches on a single platform. Following capture (and staining), on platform nucleic acid extraction enabled the detection of androgen receptor-related transcripts from CTCs isolated from prostate cancer patients. The flexibility (e.g. negative, positive, combinatorial selection) and capabilities (e.g. isolation, protein staining, and nucleic acid extraction) of mTAE enable users to freely interrogate specific cell populations, a capability required to understand the potential of emerging rare cell populations and readily adapt to the heterogeneity presented across clinical samples.

Indexed as

Analytic Sample Preparation MethodsCell LineCell SeparationEquipment DesignHumansNeoplastic Cells, CirculatingSystems Integration

Identifiers

PMID30334061
PMCPMC6402328

What OpenQuestion holds

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Registered trials

None linked

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.