Evidence map›Paper›PMID 40241055›Full record

ArticleBMC biotechnology2025

Targeted cancer therapy potential of quercetin-conjugated with folic acid-modified nanocrystalline cellulose nanoparticles: a study on AGS and A2780 cell lines.

Mozhgan Soltani, Negar Ahmadzadeh, Hasti Nasiraei Haghighi, Niloufar Khatamian, Masoud Homayouni Tabrizi

Abstract read
In one paragraph

Article in BMC biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Quercetin: A Natural Ally in Combating Breast Cancer.International journal of nanomedicine · 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.

Mozhgan SoltaniDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran. soltani_m4@yahoo.com.
Negar AhmadzadehDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Hasti Nasiraei HaghighiDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Niloufar KhatamianDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Masoud Homayouni TabriziDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran. mhomayouni6@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the effects of quercetin-conjugated nanocrystalline cellulose/cetyltrimethylammonium bromide/folic acid nanoparticles (NCC/CTAB/FA NPs) on AGS and A2780 cancer cell lines, focusing on their cytotoxicity and antioxidant capacity. Dynamic light scattering (DLS) analysis revealed an average particle size of 388.70 nm, suitable for cellular uptake and release kinetics. The NCC/CTAB/FA NPs exhibited a rod and spherical morphology and uniform distribution, as confirmed by field emission scanning electron microscopy (FESEM). Fourier-transform infrared (FTIR) spectroscopy confirmed the successful synthesis and functional group integration, supporting the NPs' ability for drug delivery. The encapsulation efficiency value was 81.17%, demonstrating the effective incorporation of Quercetin. Cytotoxicity assays indicated significant reductions in cell viability for AGS and A2780 cells with IC

Indexed as

Antineoplastic AgentsCelluloseFolic AcidNanoparticlesQuercetinAntioxidantsApoptosisCell Line, TumorCell SurvivalDrug CarriersHumansParticle SizeAntineoplastic AgentsAntioxidantsCelluloseDrug CarriersFolic AcidQuercetinAntioxidantApoptosisCancerCytotoxicityNanoparticlesQuercetin

Identifiers

PMID40241055
PMCPMC12001405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.