Evidence map›Paper›PMID 40757250›Full record

ArticleAsian journal of pharmaceutical sciences2025

Enhanced Cerenkov radiation induced photodynamic therapy based on GSH-responsive biomimetic nanoplatform to trigger immunogenic cell death for tumor immunotherapy.

Ruijie Qian, Yawen Guo, Xuemei Gao, Jianzhuang Ren, Dawei Jiang, Rui An, Ruihua Wang, Xuhua Duan, Xinwei Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian journal of pharmaceutical sciences, 2025. 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

9 authors.

Ruijie QianDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Yawen GuoDepartment of Immuno-Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Xuemei GaoDepartment of Nuclear Medicine, The First Affiliated Hospital, College of Medicine, Henan Medical Key Laboratory of Molecular Imaging, Zhengzhou University, Zhengzhou 450052, China.
Jianzhuang RenDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Dawei JiangDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Rui AnDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Ruihua WangDepartment of Nuclear Medicine, The First Affiliated Hospital, College of Medicine, Henan Medical Key Laboratory of Molecular Imaging, Zhengzhou University, Zhengzhou 450052, China.
Xuhua DuanDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Xinwei HanDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerenkov radiation (CR) can serve as a source of internal light to overcome the limited tissue penetration of external light in conventional photodynamic therapy (PDT). However, insufficient luminescence intensity hinders the clinical application of CR-PDT. Here, we developed a glutathione-responsive biomimetic nanoplatform by fusing cancer cell membranes and liposomes loaded with photosensitizer hematoporphyrin monomethyl ether (HMME) and a radiation energy amplifier Eu

Indexed as

Cerenkov radiationDamage-associated molecular patternsImmunotherapyNanovesiclesPhotodynamic therapy

Identifiers

PMID40757250
PMCPMC12314323

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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.