Evidence map›Paper›PMID 35123493›Full record

ReviewJournal of nanobiotechnology2022

Tumor microenvironment-responsive fenton nanocatalysts for intensified anticancer treatment.

Yandong Wang, Fucheng Gao, Xiaofeng Li, Guiming Niu, Yufei Yang, Hui Li, Yanyan Jiang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Spatiotemporal cancer controlNanomedicine (London, England) · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. MOF-Ag Nanozyme forInternational journal of nanomedicine · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Laser-Free Photosensitive Systems in Cancer Therapy: A Comprehensive Review.International journal of molecular sciences · 2025
    Review
  16. Review
  17. Review
  18. Article
  19. Turning foes to friends: Advanced "Bioactive materials · 2024
    Article
  20. Article
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 at 1 institution in 1 country.

Yandong WangKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China.
Fucheng GaoKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China.
Xiaofeng LiKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China.
Guiming NiuKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China.
Yufei YangKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China.
Hui LiKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China. lihuilmy@sdu.edu.cn.
Yanyan JiangKey Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education), School of Materials Science and Engineering, Shandong University, Jinan, Shandong, 250061, People's Republic of China. yanyan.jiang@sdu.edu.cn.
Shandong University · CN

Funding

National Natural Science Foundation of China 52101287National Natural Science Foundation of China U1806219Natural Science Foundation of Jiangsu Province BK20190205
6 · The paper itself

Abstract

Chemodynamic therapy (CDT) based on Fenton or Fenton-like reactions is an emerging cancer treatment that can both effectively fight cancer and reduce side effects on normal cells and tissues, and it has made important progress in cancer treatment. The catalytic efficiency of Fenton nanocatalysts(F-NCs) directly determines the anticancer effect of CDT. To learn more about this new type of therapy, this review summarizes the recent development of F-NCs that are responsive to tumor microenvironment (TME), and detailedly introduces their material design and action mechanism. Based on the deficiencies of them, some effective strategies to significantly improve the anticancer efficacy of F-NCs are highlighted, which mainly includes increasing the temperature and hydrogen peroxide concentration, reducing the pH, glutathione (GSH) content, and the dependence of F-NCs on acidic environment in the TME. It also discusses the differences between the effect of multi-mode therapy with external energy (light and ultrasound) and the single-mode therapy of CDT. Finally, the challenges encountered in the treatment process, the future development direction of F-NCs, and some suggestions are analyzed to promote CDT to enter the clinical stage in the near future.

Indexed as

NanoparticlesNeoplasmsCatalysisCell Line, TumorHumansHydrogen PeroxideTumor MicroenvironmentHydrogen PeroxideCancer treatmentFenton reactionMulti-mode therapyNanocatalystTumor microenvironment

Identifiers

PMID35123493
PMCPMC8817594
OpenAlexW4210542650

What OpenQuestion 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 OpenQuestion graph.