Evidence map›Paper›PMID 37301179›Full record

ArticleBiosensors & bioelectronics2023

Electrokinetically enhanced label-free plasmonic sensing for rapid detection of tumor-derived extracellular vesicles.

Tae Joon Kwak, Taehwang Son, Jae-Sang Hong, Ursula Andrea Winter, Mi Ho Jeong, Charlotte McLean, Ralph Weissleder, Hakho Lee, Cesar M Castro, Hyungsoon Im

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Article
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

10 authors.

Tae Joon KwakCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Taehwang SonCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Jae-Sang HongCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Ursula Andrea WinterCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Mi Ho JeongCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Charlotte McLeanCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Health Science, Northeastern University Boston, MA, 02115, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA; Cancer Center, Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA.
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Cesar M CastroCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA; Cancer Center, Massachusetts General Hospital, Boston, MA, 02114, USA.
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA. Electronic address: im.hyungsoon@mgh.harvard.edu.

Funding

Early Detection through Novel OCEAN Technology - Ovarian Cancer Exosomal Analysis with NanoplasmonicsU01CA233360 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, DINULESCU, DANIELA M · 2018 to 2022
$3.5M
CaNCURE: Cancer Nanomedicine Co-ops For Undergraduate Research ExperiencesR25CA174650 · NCI · NORTHEASTERN UNIVERSITY · PI SRINIVAS SRIDHAR · 2014 to 2026
$3.4M
Clinical platform for high-throughput analyses of extracellular vesiclesR01CA229777 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, SKOG, JOHAN · 2018 to 2022
$3.2M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
High throughput nanoplasmonic exosome testing (NEXT) of immunotherapies in bladder cancerR01CA264363 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, LEE, HAKHO · 2021 to 2024
$2.4M
Development of plasmon-enhanced biosensing for multiplexed profiling of extracellular vesiclesR01GM138778 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2020 to 2024
$2.3M
Nano-plasmonic technology for high-throughput single exosome analysesR21CA217662 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2019 to 2021
$585k
High-throughput Integrated Magneto-electrochemical Exosome (HiMEX) platform to identify neurodevelopmental markers associated with pre and postnatal oxycodone exposureR21DA049577 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, PENDYALA, GURUDUTT · 2019 to 2020
$458k
NCI NIH HHS R01 CA229777NCI NIH HHS R01 CA239078NCI NIH HHS R01 CA264363NCI NIH HHS R21 CA217662NCI NIH HHS R25 CA174650NCI NIH HHS U01 CA233360NIDA NIH HHS R21 DA049577NIGMS NIH HHS R01 GM138778
6 · The paper itself

Abstract

analysisof rare circulating extracellular vesicles (EV) from early cancers or different types of host cells requires extremely sensitive EV sensing technologies. Nanoplasmonic EV sensing technologies have demonstrated good analytical performances, but their sensitivity is often limited by EVs' diffusion to the active sensor surface for specific target EV capture. Here, we developed an advanced plasmonic EV platform with electrokinetically enhanced yields (KeyPLEX). The KeyPLEX system effectively overcomes diffusion-limited reactions with applied electroosmosis and dielectrophoresis forces. These forces bring EVs toward the sensor surface and concentrate them in specific areas. Using the keyPLEX, we showed significant improvements in detection sensitivity by ∼100-fold, leading to the sensitive detection of rare cancer EVs from human plasma samples in 10 min. The keyPLEX system could become a valuable tool for point-of-care rapid EV analysis.

Indexed as

Biosensing TechniquesExtracellular VesiclesNeoplasmsElectroosmosisHumansCancerElectrokineticsExtracellular vesiclesLabel-free detectionPlasmonic sensing

Identifiers

PMID37301179
PMCPMC10527155

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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.