Evidence map›Paper›PMID 42081192›Full record

ArticleACS applied bio materials2026

Biodegradable PCL-PLGA Electrospun Nanofibers for Localized Cancer Therapy.

Rahul Tiwari, Pranav, Joel Delossantos, Eswara N H K Ghali, Luis A Chavez, Vishal S Chaudhari, Songyang Han, Subhash C Chauhan, Murali M Yallapu

Abstract read
In one paragraph

Article in ACS applied bio materials, 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

9 authors.

Rahul TiwariDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.
PranavDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.
Joel DelossantosDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.
Eswara N H K GhaliDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.ORCID 0000-0002-8005-7626
Luis A ChavezSouth Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.
Vishal S ChaudhariDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.
Songyang HanCenter for Nano Technology/College of Engineering and Computer Science, University of Texas Rio Grande Valley (UTRGV), Edinburg, Texas 78539, USA.
Subhash C ChauhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.
Murali M YallapuDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78014, USA.ORCID 0000-0002-0073-8828

Funding

Rio Grande Valley Cancer Health Disparity Research CenterU54MD019970 · NIMHD · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI Deepu George · 2024 to 2026
$15.0M
miR-205 Nanoparticle system circumvents docetaxel resistance in prostate cancerSC1GM139727 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI YALLAPU, MURALI MOHAN · 2021 to 2024
$1.5M
NIGMS NIH HHS SC1 GM139727NIMHD NIH HHS U54 MD019970
6 · The paper itself

Abstract

Localized chemotherapy offers a promising strategy to improve therapeutic efficacy while minimizing the systemic toxicity of conventional cancer treatment, particularly following tumor resection. Electrospun nanofibers are well suited for this purpose due to their high porosity, extracellular matrix-mimicking architecture, and capacity for localized drug release. In this study, electrospun nanofibers based on PCL and PLGA were developed for localized cancer therapy. Three distinct nanofibrous architectures were fabricated: PCL nanofibers, PCL-PLGA blended nanofibers, and PCL-PLGA multilayered (tetra-layered) nanofibers, and their encapsulation efficiency was determined by high-performance liquid chromatography (HPLC). Scanning electron microscopy confirmed uniform, bead-free nanofibrous morphologies, while Fourier transform infrared spectroscopy and thermal analyses verified effective polymer blending, molecular interaction, drug incorporation, and enhanced thermal stability. The incorporation of PLGA altered the degradation rate and surface wettability of the nanofibers, enabling modulation of drug release behavior. Biological evaluations demonstrated acceptable hemocompatibility, favorable interactions with RAW 264.7 macrophages, and high cytocompatibility across all formulations. Importantly, nanofiber architecture significantly influenced release profiles (curcumin dye as a model), with multilayered or blend nanofibers exhibiting reduced burst release and prolonged drug delivery compared to single-polymer systems. In addition, proliferation clonogenicity and western blotting assays confirm their corresponding high cytotoxic responses (docetaxel as a model). Overall, this work demonstrates that architectural and compositional engineering of PCL-PLGA electrospun nanofibers provides a robust and adaptable platform for localized, sustained cancer therapy.

Indexed as

Antineoplastic AgentsBiocompatible MaterialsNanofibersPolyestersPolylactic Acid-Polyglycolic Acid CopolymerAnimalsCell ProliferationCell SurvivalCurcuminDrug LiberationMaterials TestingMiceParticle SizeRAW 264.7 CellsAntineoplastic AgentsBiocompatible MaterialsCurcuminpolycaprolactonePolyestersPolylactic Acid-Polyglycolic Acid Copolymerbiodegradable polymerscancer treatmentlocalized chemotherapylung infectionnanofibers

Identifiers

PMID42081192
PMCPMC13520581

What OpenQuestion holds

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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.