Evidence map›Paper›PMID 34452076›Full record

ArticlePharmaceutics2021

Targeted Liposomes Encapsulating miR-603 Complexes Enhance Radiation Sensitivity of Patient-Derived Glioblastoma Stem-Like Cells.

Ahmed M Shabana, Beibei Xu, Zachary Schneiderman, Jun Ma, Clark C Chen, Efrosini Kokkoli

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. MicroRNAs in T Cell-Immunotherapy.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. 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

6 authors at 3 institutions in 2 countries.

Ahmed M ShabanaInstitute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA.
Beibei XuDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA.
Zachary SchneidermanInstitute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA.
Jun MaDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA.
Clark C ChenDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA.
Efrosini KokkoliInstitute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA.
University of Minnesota Medical Center · USJohns Hopkins University · USCairo University · EG

Funding

Whiting School of Engineering of the Johns Hopkins University N/A
6 · The paper itself

Abstract

Despite potential for clinical efficacy, therapeutic delivery of microRNAs (miRNA) remains a major translational barrier. Here, we explore a strategy for miRNA delivery in the treatment of glioblastoma, the most common form of adult brain cancer, that involves complexation of miRNA with polyethylenimine (PEI) and encapsulation in targeted liposomes. miRNA 603 (miR-603) is a master regulatory miRNA that suppresses glioblastoma radiation resistance through down-regulation of insulin-like growth factor 1 (IGF1) signaling. miR-603 was complexed with PEI, a cationic polymer, and encapsulated into liposomes decorated with polyethylene glycol (PEG) and PR_b, a fibronectin-mimetic peptide that specifically targets the α

Indexed as

glioblastoma stem-cell statemicroRNA deliverymiR-603radiation therapystealth liposomestargeting integrin α5β1

Identifiers

PMID34452076
PMCPMC8399469
OpenAlexW3185016920

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.