Evidence map›Paper›PMID 38162511›Full record

ArticleBioactive materials2024

Microwave-responsive gadolinium metal-organic frameworks nanosystem for MRI-guided cancer thermotherapy and synergistic immunotherapy.

Hao Cui, Yu-Yue Zhao, Qiong Wu, Yan You, Zhou Lan, Ke-Long Zou, Guo-Wang Cheng, Hao Chen, Yan-Hua Han, Yan Chen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Bioactive materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 26 citations in OpenAlex.

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  18. Biomedical Applications of Gadolinium-Containing Biomaterials: Not Only MRI Contrast Agent.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

14 authors at 5 institutions in 1 country.

Hao CuiStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Yu-Yue ZhaoStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Qiong WuLaboratory of Controllable Preparation and Application of Nanomaterials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Yan YouDepartment of Endodontics, Southern Medical University-Shenzhen Stomatology Hospital (Pingshan), Shenzhen, 518118, China.
Zhou LanStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Ke-Long ZouStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Guo-Wang ChengLaboratory of Controllable Preparation and Application of Nanomaterials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Hao ChenStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Yan-Hua HanLaboratory of Controllable Preparation and Application of Nanomaterials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Yan ChenStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Xiang-Dong QiScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Xian-Wei MengLaboratory of Controllable Preparation and Application of Nanomaterials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Li-Min MaMedical Research Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Guang-Tao YuStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
Southern Medical University · CNChinese Academy of Sciences · CNGuangdong Academy of Medical Sciences · CNGuangzhou University of Chinese Medicine · CNStomatology Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical application of cancer immunotherapy is unsatisfied due to low response rates and systemic immune-related adverse events. Microwave hyperthermia can be used as a synergistic immunotherapy to amplify the antitumor effect. Herein, we designed a Gd-based metal-organic framework (Gd-MOF) nanosystem for MRI-guided thermotherapy and synergistic immunotherapy, which featured high performance in drug loading and tumor tissue penetration. The PD-1 inhibitor (aPD-1) was initially loaded in the porous Gd-MOF (Gd/M) nanosystem. Then, the phase change material (PCM) and the cancer cell membrane were further sequentially modified on the surface of Gd/MP to obtain Gd-MOF@aPD-1@CM (Gd/MPC). When entering the tumor microenvironment (TME), Gd/MPC induces immunogenic death of tumor cells through microwave thermal responsiveness, improves tumor suppressive immune microenvironment and further enhances anti-tumor ability of T cells by releasing aPD-1. Meanwhile, Gd/MPC can be used for contrast-enhanced MRI. Transcriptomics data revealed that the downregulation of MSK2 in cancer cells leads to the downregulation of c-fos and c-jun, and ultimately leads to the apoptosis of cancer cells after treatment. In general, Gd/MPC nanosystem not only solves the problem of system side effect, but also achieves the controlled drug release via PCM, providing a promising theranostic nanoplatform for development of cancer combination immunotherapy.

Indexed as

Cancer imagingImmunotherapyMetal-organic frameworkMicrowaveThermotherapy

Identifiers

PMID38162511
PMCPMC10755491
OpenAlexW4389496389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.