Evidence map›Paper›PMID 38258055›Full record

ReviewPharmaceutics2023

Nano/Micromotors for Cancer Diagnosis and Therapy: Innovative Designs to Improve Biocompatibility.

Jiahuan Zheng, Rui Huang, Zhexuan Lin, Shaoqi Chen, Kaisong Yuan

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  4. Review
  5. 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

5 authors.

Jiahuan ZhengDepartment of Chemistry, Shantou University Medical College, Shantou 515041, China.
Rui HuangBio-Analytical Laboratory, Shantou University Medical College, Shantou 515041, China.
Zhexuan LinBio-Analytical Laboratory, Shantou University Medical College, Shantou 515041, China.ORCID 0000-0001-9364-5980
Shaoqi ChenDepartment of Ultrasound, First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.
Kaisong YuanBio-Analytical Laboratory, Shantou University Medical College, Shantou 515041, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515010611Innovative Young Talents Grant of Guangdong Department of Education 2022KQNCX020National Natural Science Foundation of China 22204095Shantou Science and Technology Bureau (Shanfuke [2021]88-STKJ2021204) 210705156884432SUMC Scientific Research Initiation Grant 510858045
6 · The paper itself

Abstract

Nano/micromotors are artificial robots at the nano/microscale that are capable of transforming energy into mechanical movement. In cancer diagnosis or therapy, such "tiny robots" show great promise for targeted drug delivery, cell removal/killing, and even related biomarker sensing. Yet biocompatibility is still the most critical challenge that restricts such techniques from transitioning from the laboratory to clinical applications. In this review, we emphasize the biocompatibility aspect of nano/micromotors to show the great efforts made by researchers to promote their clinical application, mainly including non-toxic fuel propulsion (inorganic catalysts, enzyme, etc.), bio-hybrid designs, ultrasound propulsion, light-triggered propulsion, magnetic propulsion, dual propulsion, and, in particular, the cooperative swarm-based strategy for increasing therapeutic effects. Future challenges in translating nano/micromotors into real applications and the potential directions for increasing biocompatibility are also described.

Indexed as

biocompatibilitycancer diagnosiscancer therapymicroswarmnano/micromotor

Identifiers

PMID38258055
PMCPMC10821023

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Registered trials

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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.