Evidence map›Paper›PMID 25099143›Full record

ArticleLab on a chip2014

Integrated immunoisolation and protein analysis of circulating exosomes using microfluidic technology.

Mei He, Jennifer Crow, Marc Roth, Yong Zeng, Andrew K Godwin

Open access · hybridAbstract read
In one paragraph

Article in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

214 citing papers in PubMed, 489 citations in OpenAlex.

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  18. Microfluidic Nanoparticle Separation for Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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154 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 1 country.

Mei HeDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA. agodwin@kumc.edu.
Jennifer Crow
Marc Roth
Yong Zeng
Andrew K Godwin
University of Kansas Medical Center · USThe University of Kansas Cancer Center · USUniversity of Kansas · US

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NICOLE L NOLLEN · 2012 to 2026
$40.1M
Understanding the mechanobiology of stem cells in a microengineered 3D cardiac tissue environment with cardiomyopathyP20GM103638 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI HOLMSTROM, ERIK D · 2012 to 2021
$22.1M
The Molecular Actions of Imatinib Mesylate in GISTsR01CA106588 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K., VON MEHREN, MARGARET · 2004 to 2013
$3.8M
Exploiting Biological Networks to Improve Clinical Treatment of Ovarian CancerR01CA140323 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K. · 2010 to 2014
$2.1M
NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA106588NCI NIH HHS R01 CA140323NIGMS NIH HHS P20 GM103638
6 · The paper itself

Abstract

Developing blood-based tests is appealing for non-invasive disease diagnosis, especially when biopsy is difficult, costly, and sometimes not even an option. Tumor-derived exosomes have attracted increasing interest in non-invasive cancer diagnosis and monitoring of treatment response. However, the biology and clinical value of exosomes remains largely unknown due in part to current technical challenges in rapid isolation, molecular classification and comprehensive analysis of exosomes. Here we developed a new microfluidic approach to streamline and expedite the exosome analysis pipeline by integrating specific immunoisolation and targeted protein analysis of circulating exosomes. Compared to the conventional methods, our approach enables selective subpopulation isolation and quantitative detection of surface and intravesicular biomarkers directly from a minimally invasive amount of plasma samples (30 μL) within ~100 min with markedly improved detection sensitivity. Using this device, we demonstrated phenotyping of exosome subpopulations by targeting a panel of common exosomal and tumor-specific markers and multiparameter analyses of intravesicular biomarkers in the selected subpopulation. We were able to assess the total expression and phosphorylation levels of IGF-1R in non-small-cell lung cancer patients by probing plasma exosomes as a non-invasive alternative to conventional tissue biopsy. We foresee that the microfluidic exosome analysis platform will form the basis for critically needed infrastructures for advancing the biology and clinical utilization of exosomes.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungEquipment DesignExosomesHumansLung NeoplasmsMicrofluidic Analytical TechniquesPhenotypeReceptor, IGF Type 1Biomarkers, TumorReceptor, IGF Type 1

Identifiers

PMID25099143
PMCPMC4161194
OpenAlexW2055369603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.