Evidence map›Paper›PMID 40873364›Full record

ReviewCurrent drug research reviews2026

Next-generation Mesoporous Silica Nanoparticles: Precision-engineered Platforms for Ovarian Cancer Therapy.

Shankar Lal Tolani, Shashank Soni

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug research reviews, 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. Review
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

2 authors.

Shankar Lal TolaniDepartment of Pharmaceutics, Amity Institute of Pharmacy, Lucknow, Amity University, Sector 125, Noida, Uttar Pradesh, India.
Shashank SoniDepartment of Pharmaceutics, Amity Institute of Pharmacy, Lucknow, Amity University, Sector 125, Noida, Uttar Pradesh, India.ORCID 0000-0002-4043-4861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silica nanoparticles (SiNPs) with antifouling properties offer a promising approach for enhancing ovarian cancer (OC) therapy. OC remains one of the deadliest gynecological malignancies due to late-stage diagnosis, high recurrence rates, and limited treatment efficacy. Conventional therapies, such as chemotherapy, often face challenges due to drug resistance and limited targeting ability. The development of SiNPs with antifouling capabilities aims to address these issues by improving drug delivery efficiency, reducing non-specific interactions, and enhancing biocompatibility. Functionalizing SiNPs with cancer-specific ligands or antibodies can further improve targeting and uptake by ovarian cancer cells while reducing the impact on healthy tissues. Additionally, the porous structure of SiNPs allows for the loading of multiple therapeutic agents, enabling combination therapies that can overcome drug resistance mechanisms. In order to overcome these constraints and enhance MSN efficacy in cancer theranostics, this study aims to highlight technical advancements, including tumor-specific, stimuli-responsive "smart" MSNs and multimodal MSN- based hybrid nanoplatforms. This review provides thorough knowledge about the role of mesoporous silica nanoparticles for the treatment of ovarian cancer, highlighting important areas for further study as well as the difficulties associated with this area. To possibly improve therapeutic results by offering more accurate and targeted theranostic methods, we want to highlight the vitality of MSN technology as well as the significance of recent research and developments in this area. Overall, antifouling SiNPs represent a versatile and effective platform for ovarian cancer treatment, with the potential to improve therapeutic outcomes and reduce side effects.

Indexed as

Antineoplastic AgentsNanoparticlesOvarian NeoplasmsSilicon DioxideAnimalsDrug Delivery SystemsFemaleHumansPorosityAntineoplastic AgentsSilicon DioxideantifoulingMesoporous silicananomaterialovarian cancerporous structuretherapy

Identifiers

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.