ReviewDiscover nano2026
Nanoparticle based siRNA therapeutics for ovarian cancer overcoming drug resistance and future directions.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Biomembrane-coated Nanoparticles Targeting circHIF1α Suppress Ovarian Cancer Metastasis and Cisplatin Resistance by Mediating System Xc⁻ Inactivation via SLC7A11/SLC3A2 to Induce Ferroptosis in Cancer Stem Cells.International journal of biological sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.