Evidence map›Paper›PMID 41039030›Full record

ArticleScientific reports2025

In vivo antitumor activity of doxorubicin loaded on chitosan functionalized Pb

Aliaa M Radwan, Afaf El-Atrash, Maha Elkholy, Nagat Fawzy Nawar, Ehab Tousson, Amina I Ghoneim

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  3. Article
  4. 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

6 authors.

Aliaa M RadwanBiochemistry Division, Chemistry Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt. alyaa_radwan@science.tanta.edu.eg.
Afaf El-AtrashZoology Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt.
Maha ElkholyZoology Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt.
Nagat Fawzy NawarCentral Lab, Faculty of Science, Damanhour University, Damanhour, Egypt.
Ehab ToussonZoology Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt. ehabtousson@science.tanta.edu.eg.
Amina I GhoneimPhysics Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoscale materials can improve cancer treatment by safely and efficiently delivering chemotherapeutic drugs. This study was designated to load the anticancer drug doxorubicin (DOX) into chitosan-coated Pb2Mn2Fe12O22 magnetic nanoparticles (CT-MNPs) and compare their physicochemical and biological effects with free drug, in addition to the therapeutic role of DOX-CT-MNPs to acting efficaciously in restraint of cancer cells growth and evolution using Ehrlich solid tumor model (EST). Forty female mice were randomly and equally split into four groups (EST; EST + Free DOX; EST + CT-MNPs; and EST + DOX-CT-MNPs). Our findings show that treating EST with DOX, either free or loaded on CT-MNPs, inhibits tumour growth by producing oxidative stress, disrupting the antioxidant system, activating apoptosis, and arresting the cell cycle. Furthermore, DOX loaded on CT-MNPs had greater anticancer activity than DOX in its free form. This highlights the potential advantages of CT-MNPs in tumour therapy and drug delivery.

Indexed as

Antineoplastic AgentsCarcinoma, Ehrlich TumorChitosanDoxorubicinMagnetite NanoparticlesAnimalsApoptosisCell Line, TumorDrug CarriersFemaleLeadMiceOxidative StressAntineoplastic AgentsChitosanDoxorubicinDrug CarriersLeadMagnetite NanoparticlesAntioxidantApoptosisChitosan-coated ferrite nanoparticleDoxorubicinEhrlich solid tumor

Identifiers

PMID41039030
PMCPMC12491401

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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.