Evidence map›Paper›PMID 40134106›Full record

ReviewTherapeutic delivery2025

Engineered nanoparticles as a promising drug delivery system for glioblastoma multiforme treatment.

Seyede Nazanin Zarneshan, Faranak Aghaz

Abstract readReview
In one paragraph

Review in Therapeutic delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Seyede Nazanin ZarneshanNano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Faranak AghazNano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain cancer has become an emerging medical disorder that poses a threat to human life due to the uncontrolled growth of cancer cells and their gradual spread to other organs. The most aggressive and life-threatening of the several types of Brain cancer is GBM. Treating GBM is difficult considering drugs are not exposed at the brain's site of action because of BBTB and BBB. Only a few cytotoxic drugs are presently used to treat GBM, including temozolomide, paclitaxel, and doxorubicin, and only temozolomide has enough BBB penetration. In this context, engineered nanoparticles are used to transport chemotherapeutic medications and reduce notable peripheral toxicity on normal cells; for necessary drug dosages. They are investigated as drug carriers to address the problem of drug resistance linked to traditional chemotherapy treatments. Many nanostructures, such as polymeric, lipid-based, and inorganic nanoparticles, have been developed as drug-delivery methods in recent decades. To be therapeutically successful as a GBM therapy, ENP formulations must diffuse through the BBB and efficiently deliver the drugs to the target cells. Various coatings and surface modifications of nanostructures can be tailored with different targeting moieties to facilitate the uptake of drug carriers by malignant cells while safeguarding healthy tissues from damage.

Indexed as

Antineoplastic AgentsBrain NeoplasmsDrug Delivery SystemsGlioblastomaNanoparticle Drug Delivery SystemNanoparticlesAnimalsBlood-Brain BarrierDrug CarriersHumansAntineoplastic AgentsDrug CarriersNanoparticle Drug Delivery SystemBlood-brain barrierBrain cancerbrain tumor microenvironmentGBMglioblastoma multiformeNanoparticlestargeted drug deliverytherapeutic efficacy

Identifiers

PMID40134106
PMCPMC12140494

What OpenQuestion holds

Textmetadata
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Registered trials

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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.