Evidence map›Paper›PMID 32966038›Full record

ArticleACS applied materials & interfaces2020

Immunomagnetic Capture and Multiplexed Surface Marker Detection of Circulating Tumor Cells with Magnetic Multicolor Surface-Enhanced Raman Scattering Nanotags.

Raymond Edward Wilson, Ryan O'Connor, Caleb Edward Gallops, Elyahb Allie Kwizera, Babak Noroozi, Bashir I Morshed, Yongmei Wang, Xiaohua Huang

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Raymond Edward WilsonDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.
Ryan O'ConnorDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.
Caleb Edward GallopsDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.
Elyahb Allie KwizeraDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.
Babak NorooziDepartment of Computer Science, Texas Tech University, Lubbock, Texas 79409, United States.
Bashir I MorshedDepartment of Computer Science, Texas Tech University, Lubbock, Texas 79409, United States.
Yongmei WangDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID http://orcid.org/0000-0002-7418-9489
Xiaohua HuangDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID http://orcid.org/0000-0001-6265-3400

Funding

Hybrid nanoparticles for capture and detection of circulating tumor cellsR15CA195509 · NCI · UNIVERSITY OF MEMPHIS · PI HUANG, XIAOHUA · 2015 to 2015
$405k
NCI NIH HHS R15 CA195509
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) have substantial clinical implications in cancer diagnosis and monitoring. Although significant progress has been made in developing technologies for CTC detection and counting, the ability to quantitatively detect multiple surface protein markers on individual tumor cells remains very limited. In this work, we report a multiplexed method that uses magnetic multicolor surface-enhanced Raman scattering (SERS) nanotags in conjunction with a chip-based immunomagnetic separation to quantitatively and simultaneously detect four surface protein markers on individual tumor cells in whole blood. Four-color SERS nanotags were prepared using magnetic-optical iron oxide-gold core-shell nanoparticles with different Raman reporters to recognize four different cancer markers with respective antibodies. A microfluidic device was fabricated to magnetically capture the nanoparticle-bound tumor cells and to perform online negative staining and single-cell optical detection. The level of each targeted protein was obtained by signal deconvolution of the mixed SERS signals from individual tumor cells using the classic least squares regression method. The method was tested with spiked tumor cells in human whole blood with three different breast cancer cell lines and compared with the results of purified cancer cells suspended in a phosphate buffer solution. The method, with either spiked cancer cells in blood or purified cancer cells, showed a strong correlation with purified cancer cells by enzyme-linked immunosorbent assay, suggesting the potential of our method for the reliable detection of multiple surface markers on CTCs. Combining immunomagnetic enrichment with high specificity, multiplexed targeting for the capture of CTC subpopulations, multicolor SERS detection with high sensitivity and specificity, microfluidics for handling rare cells and magnetic-plasmonic nanoparticles for dual enrichment and detection, our method provides an integrated, yet a simple and an efficient platform that has the potential to more sensitively detect and monitor cancer metastasis.

Indexed as

Immunomagnetic SeparationBiomarkers, TumorFerric CompoundsGoldHumansLab-On-A-Chip DevicesMagnetic PhenomenaMetal NanoparticlesNeoplastic Cells, CirculatingParticle SizeSpectrum Analysis, RamanSurface PropertiesTumor Cells, CulturedBiomarkers, TumorFerric Compoundsferric oxideGoldcancer markercirculating tumor cellsmagnetic−plasmonic core−shell nanoparticlesmagnetic separationsurface-enhanced Raman scattering detection

Identifiers

PMID32966038
PMCPMC11864881

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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.