Evidence map›Paper›PMID 39543666›Full record

ArticleJournal of nanobiotechnology2024

Iron-based MOF with Catalase-like activity improves the synergistic therapeutic effect of PDT/ferroptosis/starvation therapy by reversing the tumor hypoxic microenvironment.

Yukun Chen, Yuanyuan Chen, Zhenzhi Wang, Lian Yang, Yu Zhang, Zhanxia Zhang, Lijun Jia

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  10. Multifunctional CuFrontiers in chemistry · 2026
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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.

Yukun Chen *Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yuanyuan Chen *Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhenzhi WangThe Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lian YangDepartment of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu ZhangCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhanxia ZhangCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. zhanxiazhang@shutcm.edu.cn.
Lijun JiaCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. ljjia@shutcm.edu.cn.

Funding

National Natural Science Foundation of China 81820108022
6 · The paper itself

Abstract

Reversing the hypoxic microenvironment of tumors is an important method to enhance the synergistic effect of tumor treatment. In this work, we developed the nanoparticles called Ce6@HGMOF, which consists of a photosensitizer (Ce6), glucose oxidase (GOX), chemotherapy drugs (HCPT) and an iron-based metal-organic framework (MOF). Ce6@HGMOF can consume glucose in tumor cells through "starvation therapy", cut off their nutrition source, and produce gluconic acid and hydrogen peroxide (H

Indexed as

CatalaseFerroptosisHydrogen PeroxideIronMetal-Organic FrameworksPhotochemotherapyPhotosensitizing AgentsTumor MicroenvironmentAnimalsAntineoplastic AgentsCell Line, TumorChlorophyllidesGluconatesGlucose OxidaseHumansMiceAntineoplastic AgentsCatalaseChlorophyllidesGluconatesGlucose OxidaseHydrogen PeroxideIronMetal-Organic FrameworksPhotosensitizing AgentsphytochlorinPorphyrinsReactive Oxygen SpeciesAntitumorNano-drug delivery systemsSynergistic treatmentTumor hypoxia

Identifiers

PMID39543666
PMCPMC11562077

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.