Evidence map›Paper›PMID 35787656›Full record

ArticleCommunications biology2022

Nano pom-poms prepared exosomes enable highly specific cancer biomarker detection.

Nan He, Sirisha Thippabhotla, Cuncong Zhong, Zachary Greenberg, Liang Xu, Ziyan Pessetto, Andrew K Godwin, Yong Zeng, Mei He

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  17. Molecular Diagnosis and Cancer Prognosis-A Concise Review.Diagnostics (Basel, Switzerland) · 2023
    Review
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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

9 authors.

Nan HeDepartment of Chemical and Petroleum Engineering, Bioengineering Program, University of Kansas, Lawrence, KS, 66045, USA.
Sirisha ThippabhotlaDepartment of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, 66045, USA.
Cuncong ZhongDepartment of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, 66045, USA.ORCID 0000-0002-8777-082X
Zachary GreenbergDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, 32610, USA.
Liang XuDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS, 66045, USA.ORCID 0000-0001-9196-4232
Ziyan PessettoDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
Andrew K GodwinDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, 66160, USA.ORCID 0000-0002-3987-9580
Yong ZengDepartment of Chemistry, University of Florida, Gainesville, FL, 32603, USA.
Mei HeDepartment of Chemical and Petroleum Engineering, Bioengineering Program, University of Kansas, Lawrence, KS, 66045, USA. mhe@cop.ufl.edu.ORCID 0000-0001-5316-9326

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered MicrosystemR01CA260132 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K., ZENG, YONG · 2021 to 2025
$3.4M
Equipment Supplement to R35GM133794R35GM133794 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI Mei He · 2019 to 2026
$2.9M
Microfluidic Magnetic Anisotropic Array for High-throughput Isolation of Extracellular Vesicles and ExosomesR43CA221536 · NCI · CLARA DIAGNOSTICS, INC. · PI HE, MEI, WEST, JAMES EDWARD · 2018 to 2018
$256k
NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA260132NCI NIH HHS R43 CA221536NIGMS NIH HHS P20 GM130423NIGMS NIH HHS R35 GM133794
6 · The paper itself

Abstract

Extracellular vesicles (EVs), particularly nano-sized small EV exosomes, are emerging biomarker sources. However, due to heterogeneous populations secreted from diverse cell types, mapping exosome multi-omic molecular information specifically to their pathogenesis origin for cancer biomarker identification is still extraordinarily challenging. Herein, we introduced a novel 3D-structured nanographene immunomagnetic particles (NanoPoms) with unique flower pom-poms morphology and photo-click chemistry for specific marker-defined capture and release of intact exosome. This specific exosome isolation approach leads to the expanded identification of targetable cancer biomarkers with enhanced specificity and sensitivity, as demonstrated by multi-omic exosome analysis of bladder cancer patient tissue fluids using the next generation sequencing of somatic DNA mutations, miRNAs, and the global proteome (Data are available via ProteomeXchange with identifier PXD034454). The NanoPoms prepared exosomes also exhibit distinctive in vivo biodistribution patterns, highlighting the highly viable and integral quality. The developed method is simple and straightforward, which is applicable to nearly all types of biological fluids and amenable for enrichment, scale up, and high-throughput exosome isolation.

Indexed as

ExosomesExtracellular VesiclesMicroRNAsNeoplasmsBiomarkers, TumorHumansTissue DistributionBiomarkers, TumorMicroRNAs

Identifiers

PMID35787656
PMCPMC9253007

What OpenQuestion holds

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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.