Evidence map›Paper›PMID 41779311›Full record

ReviewDiscover nano2026

Nanoparticle based siRNA therapeutics for ovarian cancer overcoming drug resistance and future directions.

Roberta Di Fonte, Isabella Bolognino, Federica Sommonte, Simona Serratì, Rossella Fasano, Ilaria Arduino, Rosa Maria Iacobazzi, Nunzio Denora, Paola Perego, Giacomina Rossi and 3 more

Abstract readReview
In one paragraph

Review in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Roberta Di Fonte *Laboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy.
Isabella Bolognino *Laboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy.
Federica Sommonte *Laboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy.
Simona SerratìLaboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy.
Rossella FasanoLaboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy.
Ilaria ArduinoDepartment of Pharmacy-Pharmaceutical Sciences, University of Bari, 70125, Bari, Italy.
Rosa Maria IacobazziDepartment of Pharmacy-Pharmaceutical Sciences, University of Bari, 70125, Bari, Italy.
Nunzio DenoraDepartment of Pharmacy-Pharmaceutical Sciences, University of Bari, 70125, Bari, Italy.
Paola PeregoMolecular Pharmacology Unit, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133, Milano, Italy.
Giacomina RossiUnit of Neurology V and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milano, Italy.
Diego TosiEarly Clinical Trial Unit, Medical Oncology Department, Institut régional du Cancer de Montpellier, Inserm U1194, Montpellier University, Montpellier, France.
Letizia Porcelli *Laboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy.
Amalia Azzariti *Laboratory of Experimental Pharmacology, IRCCS Istituto Tumori Giovanni Paolo II, Viale Orazio Flacco, 65, 70124, Bari, Italy. a.azzariti@oncologico.bari.it.

Funding

European Union - Next Generation EU - PNRR M6C2 - Investment 2.1 Enhancement and strengthening of biomedical research in the NHS PNRR-MAD-2022-12376508 (CUP MASTER: B43C22001030006 - CUP Istituto: F73C22002150006)
6 · The paper itself

Abstract

Recently, nanomedicine has made significant advancements, opening exciting new possibilities for treating a wide range of diseases. In this field, novel drug delivery systems (DDSs) are among the most noteworthy developments. The primary objective of DDSs is to ensure that treatments reach the intended targets while minimising adverse effects. In this context, nanoparticle (NP)-based DDSs have shown remarkable potential in oncology, particularly for ovarian cancer (OC), the deadliest type of gynecological cancer due to its mortality rate and the occurrence of treatment resistance. In this review, we provide a comprehensive description of the different types of NPs being explored for OC treatment, with a special emphasis on their involvement in delivering small interfering RNA (siRNA) treatments. We review various NP platforms shedding light on how they enhance drug stability, enable controlled release, and reduce toxicity. We also explore the techniques used to synthesise these NPs, emphasizing how modifying their physical and chemical properties can improve their ability to target cancer cells effectively. We also discuss the importance of 3D-tumor models, which more accurately replicate the complexity of real tumors. This enables us to examine the ability of NPs to penetrate tumors and consequently therapies are delivered in a setting that really resembles real-life situations. Recent advances in RNA-based therapeutics through DDS offer a highly targeted approach to shutting down oncogenes and drug resistance mechanisms, making them a powerful strategy to complement conventional treatments. The analysis of clinical trials results indicate a requirement for further studies in order to refine the clinical applications of drugs based on siRNAs. Despite the ongoing challenges, NP-based DDSs are paving the way for more precise and personalized OC treatments.

Indexed as

Biomimetic nanoparticlesMicrofluidicsNanoparticlesOvarian cancersiRNA delivery

Identifiers

PMID41779311
PMCPMC12960861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.