Evidence map›Paper›PMID 32719513›Full record

ArticleNature biomedical engineering2021

Tracking the expression of therapeutic protein targets in rare cells by antibody-mediated nanoparticle labelling and magnetic sorting.

Mahmoud Labib, Zongjie Wang, Sharif U Ahmed, Reza M Mohamadi, Bill Duong, Brenda Green, Edward H Sargent, Shana O Kelley

Open access · greenAbstract read
In one paragraph

Article in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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, 62 citations in OpenAlex.

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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 at 1 institution in 1 country.

Mahmoud LabibDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-4565-2056
Zongjie WangInstitute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-9900-7197
Sharif U AhmedDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6330-9406
Reza M MohamadiDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.
Bill DuongDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6846-9652
Brenda GreenDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.
Edward H SargentDepartment of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0396-6495
Shana O KelleyDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada. shana.kelley@utoronto.ca.ORCID http://orcid.org/0000-0003-3360-5359
University of Toronto · CA

Funding

Development and validation of nanoparticle-mediated microfluidic profiling approach for rare cell analysisR33CA204574 · NCI · UNIVERSITY OF TORONTO · PI KELLEY, SHANA O · 2017 to 2019
$824k
CIHR FDN-148415NCI NIH HHS R33 CA204574
6 · The paper itself

Abstract

Molecular-level features of tumours can be tracked using single-cell analyses of circulating tumour cells (CTCs). However, single-cell measurements of protein expression for rare CTCs are hampered by the presence of a large number of non-target cells. Here, we show that antibody-mediated labelling of intracellular proteins in the nucleus, mitochondria and cytoplasm of human cells with magnetic nanoparticles enables analysis of target proteins at the single-cell level by sorting the cells according to their nanoparticle content in a microfluidic device with cell-capture zones sandwiched between arrays of magnets. We used the magnetic labelling and cell-sorting approach to track the expression of therapeutic protein targets in CTCs isolated from blood samples of mice with orthotopic prostate xenografts and from patients with metastatic castration-resistant prostate cancer. We also show that mutated proteins that are drug targets or markers of therapeutic response can be directly identified in CTCs, analysed at the single-cell level and used to predict how mice with drug-susceptible and drug-resistant pancreatic tumour xenografts respond to therapy.

Indexed as

AnimalsAntibodies, MonoclonalBiomarkers, TumorCytological TechniquesFemaleHumansMagnetite NanoparticlesMaleMiceMice, NudeNeoplastic Cells, CirculatingProstatic NeoplasmsProteinsAntibodies, MonoclonalBiomarkers, TumorMagnetite NanoparticlesProteins

Identifiers

PMID32719513
PMCPMC8436965
OpenAlexW3045231709

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.