Evidence map›Paper›PMID 36818419›Full record

ArticleAdvanced therapeutics2023

Identification of an ALK-2 inhibitor as an agonist for intercellular exchange and tumor delivery of nanomaterial.

Xian Wu, Hong Guo, Jiaqi Zhao, Yushuang Wei, Yue-Xuan Li, Hong-Bo Pang

Open access · bronzeAbstract read
In one paragraph

Article in Advanced therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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

6 authors at 1 institution in 1 country.

Xian WuDepartment of Pharmaceutics, University of Minnesota, Minneapolis, MN, USA.
Hong GuoDepartment of Pharmaceutics, University of Minnesota, Minneapolis, MN, USA.
Jiaqi ZhaoDepartment of Pharmaceutics, University of Minnesota, Minneapolis, MN, USA.
Yushuang WeiDepartment of Pharmaceutics, University of Minnesota, Minneapolis, MN, USA.
Yue-Xuan LiDepartment of Pharmaceutics, University of Minnesota, Minneapolis, MN, USA.
Hong-Bo PangDepartment of Pharmaceutics, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · US

Funding

Improving the in Vivo Delivery and Antitumor Efficacy of Antisense DrugsR01CA214550 · NCI · UNIVERSITY OF MINNESOTA · PI PANG, HONGBO · 2017 to 2021
$1.7M
Deciphering the nanomaterial uptake in a bystander manner invoked by co-administration of functionalized nanoparticlesR01GM133885 · NIGMS · UNIVERSITY OF MINNESOTA · PI PANG, HONGBO · 2019 to 2022
$1.2M
Decoding the macropinocytic machinery for intracellular delivery of nanomaterialsR21EB022652 · NIBIB · UNIVERSITY OF MINNESOTA · PI PANG, HONGBO · 2016 to 2017
$498k
NCI NIH HHS R01 CA214550NIBIB NIH HHS R21 EB022652NIGMS NIH HHS R01 GM133885
6 · The paper itself

Abstract

Inefficient extravasation and penetration in solid tissues hinder the clinical outcome of nanoparticles (NPs). Recent studies have shown that the extravasation and penetration of NPs in solid tumor was mostly achieved via an active transcellular route. For this transport process, numerous efforts have been devoted to elucidate the endocytosis and subcellular trafficking of NPs. However, how they exit from one cell and re-enter into neighboring ones (termed intercellular exchange) remains poorly understood. We previously developed cellular assays that exclusively quantify the intercellular exchange of NPs

Indexed as

compound screeningextracellular vesiclesintercellular exchangeLDN-214117nanoparticle penetration

Identifiers

PMID36818419
PMCPMC9937035
OpenAlexW4306403541

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.