Evidence map›Paper›PMID 42656336›Full record

ReviewFrontiers in oncology2026

Selenium nanoparticles for breast cancer: mechanisms, delivery strategies, and translational challenges.

Huijia Ni, Xu Fu, Xiaoyu Chen, Lei Zhao

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

4 authors.

Huijia NiThe Second Clinical Medical College, Lanzhou University, Lanzhou, China.
Xu FuEmergency Center, The Second Hospital of Lanzhou University, Lanzhou, China.
Xiaoyu ChenThe Second Clinical Medical College, Lanzhou University, Lanzhou, China.
Lei ZhaoThe Second Clinical Medical College, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer treatment remains limited by drug resistance, toxicity, and inadequate selectivity in aggressive subtypes, prompting continued interest in selenium-based agents whose anticancer activity depends strongly on chemical form, redox behavior, and metabolic fate. This review critically compares inorganic, organic, and nanoscale selenium, with particular emphasis on selenium nanoparticles (SeNPs) as engineerable platforms for breast cancer therapy. Current evidence indicates that selenium-based agents primarily exert antitumor effects through disruption of redox homeostasis, induction of apoptosis, and modulation of survival signaling pathways such as PI3K/AKT/mTOR, while additional effects on autophagy, metastasis, angiogenesis, and treatment resistance appear to be more context-dependent. Compared with conventional selenium compounds, SeNPs offer greater formulation flexibility through surface modification, cargo loading, and stimulus-responsive design, and have shown promising activity especially in triple-negative and HER2-positive breast cancer models. However, clinical translation is restricted by the lack of breast cancer-specific early-phase therapeutic studies and by persistent uncertainties regarding the therapeutic window, pharmacokinetics, long-term safety, manufacturing reproducibility, and patient selection. By integrating selenium speciation, SeNP preparation strategies, subtype-oriented applications, and translational barriers, this review highlights that future progress will depend on standardized formulations, rigorous

Indexed as

breast cancernanomedicineselenium-based agentsselenium nanoparticlestranslational oncology

Identifiers

PMID42656336
PMCPMC13506482

What OpenQuestion holds

Textmetadata
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.