Evidence map›Paper›PMID 40754992›Full record

ArticleDrug delivery2025

Enhancing targeted delivery and efficacy of PEGylated liposomal doxorubicin with liposomal minoxidil: comprehensive in silico, in vitro, and in vivo tumor model studies.

Vahideh Mohammadzadeh, Leila Arabi, Seyedeh Maryam Hosseinikhah, Mohammad Mashreghi, Fatemeh Kalalinia, Neda Mostajeran, Mohammad Reza Zirak, Farzin Hadizadeh, Mojgan Nejabat, Hossein Kamali and 2 more

Abstract read
In one paragraph

Article in Drug delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

12 authors.

Vahideh MohammadzadehNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Leila ArabiNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyedeh Maryam HosseinikhahNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad MashreghiNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh KalaliniaDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Neda MostajeranNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Reza ZirakDepartment of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Farzin HadizadehBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mojgan NejabatBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Hossein KamaliDepartment of Pharmaceutical Nanotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Niloufar RahimanNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahmoud Reza JaafariNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic efficacy of nanoparticle (NP)-encapsulated cytotoxic drugs has remained limited by poor penetration into solid tumors. To address this challenge, we developed a novel strategy using minoxidil-loaded nanoliposomes (Lip-MXD) to induce tumor vasodilation and enhance the delivery of PEGylated liposomal doxorubicin (PLD). We developed a remote loading method utilizing a calcium acetate gradient to encapsulate MXD into liposomes, achieving a high MXD encapsulation efficiency (87%). The resulting Lip-MXD formulation displayed an average particle size of 111 nm, a polydispersity index of 0.05, and a zeta potential of -15.7 mV. Pretreatment with Lip-MXD demonstrated multifunctional effects. It significantly downregulated CLDN-1 expression, improving NP penetration into advanced, fibrotic tumors. The stability of interaction between CLDN-1 and MXD was confirmed by molecular dynamics (MD) simulation. Immunohistochemistry and gene expression analyses in mouse models of colorectal (CRC) and pancreatic (PCa) cancers revealed that Lip-MXD administration significantly reduced the number of tumor-associated stromal cells. Furthermore, Lip-MXD mitigated tumor hypoxia and substantially enhanced PLD permeability within the dense microenvironment of desmoplastic tumors through its vasodilatory effects. A single dose of PLD following Lip-MXD pretreatment exhibited significant antitumor activity, resulting in a prolonged survival rate of 60% in the Lip-MXD+PLD-treated group in CRC models. In nude mice bearing PCa, the Lip-MXD+PLD-treated group achieved a significant reduction in tumor volume compared to the PLD group over a 14-day evaluation period. This MXD liposomal formulation offers a promising method to overcome tumor penetration, enhance NP delivery and improve therapeutic outcomes in CRC and PCa cancers, meriting further investigation.

Indexed as

DoxorubicinMinoxidilPolyethylene GlycolsAnimalsAntibiotics, AntineoplasticCell Line, TumorColorectal NeoplasmsDrug Delivery SystemsHumansLiposomesMiceMice, Inbred BALB CMice, NudeNanoparticlesPancreatic NeoplasmsParticle SizeAntibiotics, AntineoplasticDoxorubicinliposomal doxorubicinLiposomesMinoxidilPolyethylene GlycolsClaudin-1Desmoplastic tumorsMinoxidilPEGylated liposomal doxorubicinTight junction proteinsTumor microenvironment

Identifiers

PMID40754992
PMCPMC12322995

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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.