ArticleBiological trace element research2022
Tissue Distribution, Histopathological and Genotoxic Effects of Magnetite Nanoparticles on Ehrlich Solid Carcinoma.
Article in Biological trace element research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Repurposing Niflumic Acid-Loaded PEGylated Cerosomes for Topical Solid Ehrlich's Carcinoma Management via EGFR/ERK/miR-21 Signaling Pathway Modulation.Pharmaceutics · 2026Article
- Article
- Leciplex Nanocarriers: An Optimized Platform for Thymol Delivery in Acne Management.Pharmaceutics · 2026Article
- Antitumor activity of functionalized iron oxide nanoparticles in Ehrlich tumor carcinoma-bearing mice enhanced by magnetic field.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Article
- Sleep matters: Neurodegeneration spectrum heterogeneity, combustion and friction ultrafine particles, industrial nanoparticle pollution, and sleep disorders-Denial is not an option.Frontiers in neurology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanoparticles can potentially cause adverse effects on cellular and molecular level. The present study aimed to investigate the histopathological changes and DNA damage effects of magnetite nanoparticles (MNPs) on female albino mice model with Ehrlich solid carcinoma (ESC). Magnetite nanoparticles coated with L-ascorbic acid (size ~ 25.0 nm) were synthesized and characterized. Mice were treated with MNPs day by day, intraperitoneally (IP), intramuscularly (IM), or intratumorally (IT). Autopsy samples were taken from the solid tumor, thigh muscle, liver, kidney, lung, spleen, and brain for assessment of iron content, histopathological examination, and genotoxicity using comet assay. The liver, spleen, lung, and heart had significantly higher iron content in groups treated IP. On the other hand, tumor, muscles, and the liver had significantly higher iron content in groups treated IT. MNPs induced a significant DNA damage in IT treated ESC. While a significant DNA damage was detected in the liver of the IP treated group, but no significant DNA damage could be detected in the brain. Histopathological findings in ESC revealed a marked tumor necrosis, 50% in group injected IT but 40% in group injected IP and 20% only in untreated tumors. Other findings include inflammatory cell infiltration, dilatation, and congestion of blood vessels of different organs of treated groups in addition to appearance of metastatic cancer cells in the liver of non-treated tumor group. MNPs could have an antitumor effect but it is recommended to be injected intratumorally to be directed to the tumor tissues and reduce its adverse effects on healthy tissues.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.