Evidence map›Paper›PMID 39829490›Full record

ArticleACS omega2025

Targeted Nanotherapy by Vinblastine-Loaded Chitosan-Coated PLA Nanoparticles to Improve the Chemotherapy via Reactive Oxygen Species to Hamper Hepatocellular Carcinoma.

Amit Singh, Shivangi Bora, Pankaj Kumar, Ritushree Kukreti, Mahima Kaushik

Abstract read
In one paragraph

Article in ACS omega, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Therapeutic potential of natural triterpenoids in liver cancer.Medical oncology (Northwood, London, England) · 2025
    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

5 authors.

Amit SinghNano-bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi 110007, India.
Shivangi BoraGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB)-Council of Scientific and Industrial Research (CSIR), Mall Road, Delhi 110007, India.
Pankaj KumarNano-bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi 110007, India.
Ritushree KukretiGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB)-Council of Scientific and Industrial Research (CSIR), Mall Road, Delhi 110007, India.
Mahima KaushikNano-bioconjugate Chemistry Lab, Cluster Innovation Centre, University of Delhi, Delhi 110007, India.ORCID https://orcid.org/0000-0002-6453-076X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer is a prevalent and significant cause of death in humans. The use of novel biodegradable materials for various biomedical applications is being recently recommended as complementary as well as alternative solution for traditional chemotherapy. This study focuses on the synthesis of biodegradable nanocarriers [chitosan-coated poly(lactic acid) NPs (Cht-PLA NPs)] for the delivery of an anticancer drug vinblastine (Vbx) and to evaluate its therapeutic potential in human hepatocellular carcinoma (HepG2) cells. The Cht-PLA NPs were synthesized using the nanoprecipitation method and characterized by transmission electron microscopy, scanning electron microscopy, Fourier transform infrared spectroscopy, dynamic light scattering, and zeta potential techniques. The results showed that the nanoparticle sizes are in the range of 100-200 nm with positive surface charge. The release profile of the synthesized nanoformulation showed controlled release of the Vbx drug for 72 h. The anticancer efficacy of the synthesized nanoformulation was assessed on the HepG2 cell lines. The

Identifiers

PMID39829490
PMCPMC11739963

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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.