Evidence map›Paper›PMID 36598405›Full record

ArticleACS applied materials & interfaces2023

Dual Imaging Single Vesicle Surface Protein Profiling and Early Cancer Detection.

Kristopher Amrhein, Mitchell Lee Taylor, Raymond Wilson, Caleb Edward Gallops, Assam Annamer, Vojtech Vinduska, Elyahb Allie Kwizera, Hongmei Zhang, Yongmei Wang, Thang Ba Hoang and 1 more

Open access · greenAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.2field-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

19 citing papers in PubMed, 27 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

11 authors at 1 institution in 1 country.

Kristopher AmrheinDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0002-0153-0914
Mitchell Lee TaylorDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0002-6997-7800
Raymond WilsonDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0001-7723-5818
Caleb Edward GallopsDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0002-7751-6246
Assam AnnamerDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0002-1764-2451
Vojtech VinduskaDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0001-9466-5924
Elyahb Allie KwizeraDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0003-2700-8128
Hongmei ZhangSchool of Public Health, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0003-3557-0364
Yongmei WangDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0002-7418-9489
Thang Ba HoangDepartment of Physics and Materials Science, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0001-6438-112X
Xiaohua HuangDepartment of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.ORCID 0000-0001-6265-3400
University of Memphis · US

Funding

Single exosome protein profiling with surface enhanced Raman scattering imagingR15CA238890 · NCI · UNIVERSITY OF MEMPHIS · PI HOANG, THANG BA, HUANG, XIAOHUA · 2020 to 2020
$416k
NCI NIH HHS R15 CA238890
6 · The paper itself

Abstract

Single vesicle molecular profiling has the potential to transform cancer detection and monitoring by precisely probing cancer-associated extracellular vesicles (EVs) in the presence of normal EVs in body fluids, but it is challenging due to the small EV size, low abundance of antigens on individual vesicles, and a complex biological matrix. Here, we report a facile dual imaging single vesicle technology (DISVT) for surface protein profiling of individual EVs and quantification of target-specific EV subtypes based on direct molecular capture of EVs from diluted biofluids, dual EV-protein fluorescence-light scattering imaging, and fast image analysis using Bash scripts, Python, and ImageJ. Plasmonic gold nanoparticles (AuNPs) were used to label and detect targeted surface protein markers on individual EVs with dark-field light scattering imaging at the single particle level. Monte Carlo calculations estimated that the AuNPs could detect EVs down to 40 nm in diameter. Using the DISVT, we profiled surface protein markers of interest across individual EVs derived from several breast cancer cell lines, which reflected the parental cells. Studies with plasma EVs from healthy donors and breast cancer patients revealed that the DISVT, but not the traditional bulk enzyme-linked immunosorbent assay, detected human epidermal growth factor receptor 2 (HER2)-positive breast cancer at an early stage. The DISVT also precisely differentiated HER2-positive breast cancer from HER2-negative breast cancer. We additionally showed that the amount of tumor-associated EVs was tripled in locally advanced patients compared to that in early-stage patients. These studies suggest that single EV surface protein profiling with DISVT can provide a facile and high-sensitivity method for early cancer detection and quantitative monitoring.

Indexed as

Breast NeoplasmsExtracellular VesiclesMetal NanoparticlesAntigensEarly Detection of CancerFemaleGoldHumansAntigensGoldbreast cancerearly detectionexosomeextracellular vesiclegold nanoparticlesoptical imaging

Identifiers

PMID36598405
PMCPMC9990180
OpenAlexW4313476824

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.