Evidence mapPaperPMID 41660123Full record

ReviewMaterials today. Bio2026

Nanozyme for precision treatment of hepatocellular carcinoma.

Shu Feng, Ying Xuan, Hong Jin, Meng Cui, Xinyue Meng, Jun Liao, Jianwei Feng

Abstract readReview
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. 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. Nanozyme-based therapeutic strategies for traumatic brain injury.International journal of pharmaceutics: X · 2026
    Review
  3. 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

7 authors.

Shu FengShengjing Hospital, China Medical University, Liaoning, 110004, China.
Ying XuanShengjing Hospital, China Medical University, Liaoning, 110004, China.
Hong JinShengjing Hospital, China Medical University, Liaoning, 110004, China.
Meng CuiShengjing Hospital, China Medical University, Liaoning, 110004, China.
Xinyue MengShengjing Hospital, China Medical University, Liaoning, 110004, China.
Jun LiaoInstitute of Systems Biomedicine, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Jianwei FengShengjing Hospital, China Medical University, Liaoning, 110004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains a formidable challenge due to profound heterogeneity, recurrence, and pervasive therapeutic resistance, creating a significant unmet clinical need. Engineered nanozymes, nanomaterials with intrinsic catalytic activities, have emerged as a transformative paradigm. Unlike passive nanocarriers, nanozymes function as active therapeutic agents. Their prowess is predicated on catalytically manipulating the tumor microenvironment (TME), enabling localized ROS generation, inducing regulated cell death, and remodeling the immunosuppressive TME. This review systematically delineates the principles and potential of nanozyme strategies for HCC, focusing on catalytic therapy, nanozyme-enhanced immunotherapy, photothermal therapy, and integrated combination platforms, highlighting their capacity for synergistic antitumor effects. The review also critically discusses formidable challenges spanning metabolic heterogeneity, TME-driven immunosuppression, and biocompatibility hurdles that impede clinical translation. This work provides critical insights for the rational design of next-generation nanozymes and accelerating their integration into future multidisciplinary HCC treatment frameworks.

Indexed as

BiomaterialsDrug deliveryHepatocellular carcinomaNanomedicineNanozymes

Identifiers

PMID41660123
PMCPMC12874347

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.