Evidence map›Paper›PMID 39143915›Full record

ReviewNanomedicine (London, England)2024

Lipid polymer hybrid nanoparticles against lung cancer and their application as inhalable formulation.

Seyedeh Negin Kassaee, Derek Richard, Godwin A Ayoko, Nazrul Islam

Abstract readReview
In one paragraph

Review in Nanomedicine (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Navigating theNanoscale advances · 2026
    Review
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  7. Article
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  9. Review
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  12. Circular RNAs modulate cancer drug resistance: advances and challenges.Cancer drug resistance (Alhambra, Calif.) · 2025
    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

4 authors.

Seyedeh Negin KassaeeSchool of Clinical Sciences, Queensland University of Technology (QUT), Brisbane, QLD QLD4001, Australia.
Derek RichardCentre for Genomics & Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD QLD4001, Australia.
Godwin A AyokoSchool of Chemistry & Physics & Centre for Materials Science, Queensland University of Technology (QUT), Brisbane, QLD QLD4001, Australia.
Nazrul IslamSchool of Clinical Sciences, Queensland University of Technology (QUT), Brisbane, QLD QLD4001, Australia.ORCID 0000-0001-6751-6915

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a leading cause of global cancer mortality, often treated with chemotherapeutic agents. However, conventional approaches such as oral or intravenous administration of drugs yield low bioavailability and adverse effects. Nanotechnology has unlocked new gateways for delivering medicine to their target sites. Lipid-polymer hybrid nanoparticles (LPHNPs) are one of the nano-scaled delivery platforms that have been studied to exploit advantages of liposomes and polymers, enhancing stability, drug loading, biocompatibility and controlled release. Pulmonary administration of drug-loaded LPHNPs enables direct lung deposition, rapid onset of action and heightened efficacy at low doses of drugs. In this manuscript, we will review the potential of LPHNPs in management of lung cancer through pulmonary administration.

Indexed as

Antineoplastic AgentsLipidsLung NeoplasmsNanoparticlesPolymersAdministration, InhalationAnimalsDrug CarriersHumansLiposomesAntineoplastic AgentsDrug CarriersLipidsLiposomesPolymersdrug delivery systemslipid polymer hybrid nanoparticleslung cancernanotechnologypulmonary delivery

Identifiers

PMID39143915
PMCPMC11486133

What OpenQuestion holds

Textmetadata
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.