Evidence map›Paper›PMID 42703419›Full record

ReviewIranian journal of basic medical sciences2026

Localized chemotherapy through nanofiber scaffolds: Progress, challenges, and future directions.

Akram Firouzi Amandi, Seyed Abbas Shahrtash, Samaneh Moradi, Mehdi Dadashpour, Tohid Kazemi

Abstract readReview
In one paragraph

Review in Iranian journal of basic medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Akram Firouzi AmandiDepartment of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyed Abbas ShahrtashDepartment of Pharmaceutical Engineering, University of Tehran, Tehran, Iran.
Samaneh MoradiDepartments of Internal Medical, Shiraz University of Medical Sciences, Shiraz, Iran.
Mehdi DadashpourStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Tohid KazemiDepartment of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofiber-based localized chemotherapy has attracted growing attention as an effective approach to address the shortcomings of conventional systemic cancer therapies by enabling site-specific, sustained, and controlled drug delivery. This review focuses on the emerging role of implantable nanofibrous drug delivery systems in improving cancer treatment outcomes by reducing systemic side effects, enhancing therapeutic efficacy, and improving local tumor management. Special emphasis is placed on electrospinning, a widely used and flexible fabrication method for producing nanofibrous scaffolds, and on the development of chitosan-based nanocomposites and other functional polymer systems that offer high drug-loading capacity and adjustable release behavior. In addition, tumor-targeted drug delivery strategies, including surface modification and ligand-receptor-mediated targeting, are discussed for their potential to improve treatment selectivity and address multidrug resistance. Key challenges related to clinical translation, safety considerations, large-scale fabrication, and long-term performance are also critically analyzed. Finally, the review outlines future research directions aimed at advancing nanofiber-based localized chemotherapy toward practical clinical applications.

Indexed as

Cancer treatmentDrug deliveryElectrospun nanofibersLocalized chemotherapyNanomedicine

Identifiers

PMID42703419
PMCPMC13546493

What OpenQuestion holds

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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.