Evidence map›Paper›PMID 40742625›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2025

Co-delivery of SN38 and rapamycin albumin bound nanoparticles against breast Cancer.

Sanaz Jamshidfar, Marzieh Ebrahimi, Reyhaneh Varshochian, Navid Goodarzi, Javad Firouzi, Mahsa Rezaei, Seyed Nasser Ostad, Yalda Hosseinzadeh Ardakani, Rassoul Dinarvand

Abstract read
In one paragraph

Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 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
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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

9 authors.

Sanaz JamshidfarDepartment of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-1779-3452
Marzieh EbrahimiDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.ORCID http://orcid.org/0000-0003-1140-0379
Reyhaneh VarshochianDepartment of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-7762-6648
Navid GoodarziNanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Javad FirouziDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Mahsa RezaeiNanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Nasser OstadDepartment of Pharmacology and Toxicology, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-5476-8010
Yalda Hosseinzadeh ArdakaniBiopharmaceutics and Pharmacokinetic Division, Department of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran. Yh-ardakani@tums.ac.ir.ORCID https://orcid.org/0000-0003-3719-6732
Rassoul DinarvandDepartment of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran. Dinarvand@tums.ac.ir.ORCID http://orcid.org/0000-0003-0694-7556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe co-delivery of two therapeutic agents within a single nanoparticle platform offers a potential strategy to improve treatment efficacy while minimizing adverse effects. Albumin as a biocompatible carrier could facilitate simultaneous delivery of cargos to the tumoral region based on passive targeting gained by enhanced permeability and retention (EPR).

objectivesThis study aimed to develop, characterize, and assess a dual-drug delivery system incorporating rapamycin and SN38, utilizing the nanoparticle albumin bound technique, for the treatment of breast cancer.

methodsAlbumin bound NPs of SN38 and rapamycin were prepared using probe sonication method. NPs were characterized using dynamic light scattering (DLS) and field emission scanning electron microscopy (FESEM) techniques to confirm their hydrodynamic diameter and structural properties. Drug loading (DL) and entrapment efficiency (EE) were measured using validated reverse phase high performance liquid chromatography (RP-HPLC) methods. Cellular cytotoxicity assay, cellular internalization, quantitatively cellular uptake, colony formation assay, and sphere formation assay were performed. To track NPs destiny as a 24 h follow up in the biodistribution part, NPs were intravenously injected to the BALB/c tumor bearing mice.

resultsBlank NPs showed hydrodynamic diameter of about 121 nm, drug incorporation resulted in sizes around 200 nm. No toxicity was observed by MTT assay for blank albumin NPs. MTT assay of drug loaded NPs showed higher toxicity for dual drug loaded NPs compared to single drug loaded NPs. Confocal images and flow cytometry showed high accumulation of NPs in cytoplasmic space of 4T1 cells. All of the experimental groups showed significant decrease in colony formation and sphere formation in comparison to the control group. NPs were also preferentially accumulated in the tumoral region in vivo due to their suitable size.

conclusionIn conclusion, the designed drug delivery system proposes great potential for breast cancer treatment.

Indexed as

Breast NeoplasmsNanoparticlesSirolimusAlbuminsAnimalsCell Line, TumorCell SurvivalDrug CarriersDrug Delivery SystemsFemaleHumansMiceMice, Inbred BALB CParticle SizeTissue DistributionAlbuminsDrug CarriersSirolimusAlbumin bound nanoparticleBreast cancerDrug delivery systemRapamycinSN38

Identifiers

PMID40742625
PMCPMC12314136

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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.