Evidence map›Paper›PMID 39921438›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Ternary Schottky Junction for Sonocatalytic Water Splitting in Gas-Immunotherapy-Mediated Cancer Treatment.

Rui Zhang, Qian Wang, Junjie Pan, Jun Du, Han Yang, Bingfeng Wang, Yuhao Li, Yuqing Miao, Xumin Hou, Jingxiang Wu and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. Article
  4. Review
  5. 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

11 authors.

Rui ZhangDepartment of Anesthesiology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.
Qian WangInstitute of Bismuth Science, School of Materials and Chemistry, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Junjie PanInstitute of Bismuth Science, School of Materials and Chemistry, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Jun DuInstitute of Bismuth Science, School of Materials and Chemistry, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Han YangInstitute of Bismuth Science, School of Materials and Chemistry, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Bingfeng WangCollege of Materials and Energy, South China Agricultural University, Guangzhou, 510631, China.
Yuhao LiInstitute of Bismuth Science, School of Materials and Chemistry, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai, 200093, China.ORCID https://orcid.org/0000-0001-7146-8645
Yuqing MiaoInstitute of Bismuth Science, School of Materials and Chemistry, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Xumin HouDepartment of Anesthesiology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.
Jingxiang WuDepartment of Anesthesiology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.
Qing MiaoDepartment of Anesthesiology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.

Funding

Medical Innovation Research Special Project, China 22y11901800National Natural Science Foundation of China 82071233National Natural Science Foundation of China 82202412Natural Science Foundation of Shanghai, China 24ZR1453600
6 · The paper itself

Abstract

Hydrogen therapy has shown new potential in cancer treatment, particularly in high-pressure and hypoxic areas, where it demonstrates the ability to alter the tumor microenvironment and regulate tumor metabolism. Hydrogen disrupts the mitochondrial function of cancer cells, interferes with their energy metabolism, and ultimately leads to energy depletion and apoptosis. In this study, a sonocatalyst (BPM), is designed to generate hydrogen and oxygen in situ within tumors, further enhancing the therapeutic efficacy. The mesocrystalline structure of BPM, composed of bismuth fluoride, polyoxometalates, and molybdenum carbide, significantly improves charge separation and electron transfer efficiency under ultrasound irradiation, resulting in an efficient water-splitting reaction. By simultaneously generating hydrogen and oxygen within the tumor microenvironment and depleting glutathione, BPM effectively triggers oxidative stress and alleviates hypoxia, thereby disrupting mitochondrial function and inhibiting energy metabolism in cancer cells. Additionally, BPM enhances antitumor immune responses by promoting dendritic cell maturation, activating T lymphocytes, and polarizing macrophages toward the M1 phenotype, reversing the immunosuppressive state of the tumor microenvironment. The results indicate that BPM holds potential for gas-immunotherapy combination treatments, offering a multifunctional strategy to improve cancer therapy outcomes.

Indexed as

HydrogenImmunotherapyNeoplasmsWaterAnimalsCatalysisCell Line, TumorHumansMiceOxygenTumor MicroenvironmentHydrogenOxygenWatergas therapyglutathione consumptionimmune activationSchottky junctionwater splitting

Identifiers

PMID39921438
PMCPMC11967844

What OpenQuestion holds

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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.