Evidence map›Paper›PMID 42834993›Full record

ReviewMaterials today. Bio2026

Magnetic nanorobots in oncology: From targeted drug delivery to smart theranostic systems.

Xiaoyu Liu, Changying Li, Zhijie Xu, Yuanliang Yan, Wangrui Liu, Yong Li, Ming Gao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Materials today. Bio, 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

7 authors.

Xiaoyu LiuDepartment of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Changying LiMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
Zhijie XuDepartment of Pharmacy, National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), The Hunan Institute of Pharmacy Practice and Clinical Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Yuanliang YanDepartment of Pharmacy, National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), The Hunan Institute of Pharmacy Practice and Clinical Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Wangrui LiuDepartment of Thoracic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Yong LiDepartment of Pediatric Surgery, Hunan Children's Hospital, Changsha, Hunan, 410008, China.
Ming GaoDepartment of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review focuses on the application of magnetic nanorobots (MNRs) in tumor therapy. We first introduce the MNR-mediated drug delivery strategy, which loads anti-tumor agents and actively targets tumor sites. Leveraging the unique physicochemical properties of their constituent materials, MNRs enable controlled drug release in response to specific internal or external stimuli. Meanwhile, the near-infrared (NIR)-responsive components generate photothermal conversion for photothermal therapy (PTT) while released metal ions catalyze the Fenton reaction to produce reactive oxygen species (ROS), thereby inducing tumor cell death via chemodynamic therapy (CDT). Nevertheless, clinical translation of MNRs remains hindered by challenges related to biocompatibility, scalable manufacturing, real-time imaging and in vivo tracking. To address these issues, this review systematically summarizes recent representative studies on material design, new assessment system, and multimodal synergistic treatments. We also discuss emerging efforts integrating deep learning and artificial intelligence (AI) to optimize navigation and therapeutic efficacy. We aim to provide a comprehensive perspective on the path to clinical application by outlining current bottlenecks and potential solutions. This review is expected to offer new insights for further development of MNRs in precision cancer therapy.

Indexed as

Cancer treatmentDrug resistanceMagnetic nanorobotsNanomaterialsTumor microenvironments

Identifiers

PMID42834993
PMCPMC13634993

What Socratic 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 Socratic graph.