Evidence mapPaperPMID 41695292Full record

ReviewFrontiers in chemistry2025

Mesoporous silica nanoparticles--based functional platforms for breast cancer therapy: technological advancements.

Yang Du, Jiangnan Yang, Shuai Chen, Deyuan Fu

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2025. 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

4 authors.

Yang DuDepartment of Thyroid and Breast Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China.
Jiangnan YangDepartment of Basic Medicine, Medical College of Hunan Normal University, Changsha, Hunan, China.
Shuai ChenDepartment of Thyroid and Breast Surgery, Yiyang Central Hospital, Yiyang, Hunan, China.
Deyuan FuDepartment of Thyroid and Breast Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesoporous silica nanoparticles (MSNs) offer remarkable opportunities for the loading and delivery of drugs and other small molecules due to their large specific surface area, tunable mesoporous pore size, ease of modification, and excellent biocompatibility. The active silica hydroxyl groups (Si-OH) on the surface provide a good basis for a variety of modification and functionalization strategies, and thus MSNs show great potential in drug delivery systems, especially in studies involving the loading, transport, and release of anticancer drugs, particularly in the field of oncology therapeutics. The current review highlights MSNs as promising platforms for breast cancer therapy, with a special focus on the diverse applications of MSNs in breast cancer therapy, which are related to a wide range of applications with different structures and designs, functionalization strategies, prevalent synthesis methods, and potential clinical uses. Afterwards, we review targeted MSNs for enhancing precision medicine and therapeutic efficacy, and then focus on specific applications of MSNs in breast cancer therapy and various stimulus-responsive surface modifications, with specific applications including drug delivery, photodynamic therapy, photothermal therapy, combined therapeutic approaches, gene therapy, and immunotherapy. In addition, the challenges of MSNs in breast cancer and their future prospects are discussed.

Indexed as

breast cancermesoporous silica nanoparticlesphotodynamic therapytargeted drug deliverytheranostics

Identifiers

PMID41695292
PMCPMC12901411

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.