Evidence map›Paper›PMID 34309083›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2021

Rapid Capture of Cancer Extracellular Vesicles by Lipid Patch Microarrays.

Hui-Yu Liu, Ravi Kumar, Chunting Zhong, Saleh Gorji, Liliia Paniushkina, Ramsha Masood, Uwe A Wittel, Harald Fuchs, Irina Nazarenko, Michael Hirtz

Open access · hybridAbstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
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  8. Extracellular vesicles in bone aging: therapeutic strategies and applications.Extracellular vesicles and circulating nucleic acids · 2025
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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

10 authors at 2 institutions in 2 countries.

Hui-Yu LiuInstitute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Ravi KumarInstitute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Chunting ZhongInstitute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Saleh GorjiInstitute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Liliia PaniushkinaInstitute for Infection Prevention and Hospital Epidemiology, Medical Centre, Faculty of Medicine, University of Freiburg, Breisacher Straße 115 B, 79106, Freiburg, Germany.
Ramsha MasoodInstitute for Infection Prevention and Hospital Epidemiology, Medical Centre, Faculty of Medicine, University of Freiburg, Breisacher Straße 115 B, 79106, Freiburg, Germany.
Uwe A WittelDepartment of General and Visceral Surgery, Centre of Surgery, Medical Centre, Faculty of Medicine, University of Freiburg, Breisacher Str. 86, 79110, Freiburg, Germany.
Harald FuchsInstitute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Irina NazarenkoInstitute for Infection Prevention and Hospital Epidemiology, Medical Centre, Faculty of Medicine, University of Freiburg, Breisacher Straße 115 B, 79106, Freiburg, Germany.ORCID https://orcid.org/0000-0002-2633-1161
Michael HirtzInstitute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.ORCID https://orcid.org/0000-0002-2647-5317
Karlsruhe Institute of Technology · DEUniversity of Freiburg · DE

Funding

Deutscher Akademischer AustauschdienstH2020 Marie Skłodowska-Curie Actions 722148Karlsruhe Institute of Technology Helmholtz Association
6 · The paper itself

Abstract

Extracellular vesicles (EVs) contain various bioactive molecules such as DNA, RNA, and proteins, and play a key role in the regulation of cancer progression. Furthermore, cancer-associated EVs carry specific biomarkers and can be used in liquid biopsy for cancer detection. However, it is still technically challenging and time consuming to detect or isolate cancer-associated EVs from complex biofluids (e.g., blood). Here, a novel EV-capture strategy based on dip-pen nanolithography generated microarrays of supported lipid membranes is presented. These arrays carry specific antibodies recognizing EV- and cancer-specific surface biomarkers, enabling highly selective and efficient capture. Importantly, it is shown that the nucleic acid cargo of captured EVs is retained on the lipid array, providing the potential for downstream analysis. Finally, the feasibility of EV capture from patient sera is demonstrated. The demonstrated platform offers rapid capture, high specificity, and sensitivity, with only a small need in analyte volume and without additional purification steps. The platform is applied in context of cancer-associated EVs, but it can easily be adapted to other diagnostic EV targets by use of corresponding antibodies.

Indexed as

Extracellular VesiclesNeoplasmsBiomarkers, TumorCell Line, TumorHumansLipidsMicroarray AnalysisBiomarkers, TumorLipidsbreast cancerdip-pen nanolithographyextracellular vesiclesscanning probe lithographysupported lipid bilayers

Identifiers

PMID34309083
PMCPMC11468818
OpenAlexW3184227993

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.