Evidence map›Paper›PMID 37312933›Full record

ArticleInternational journal of nanomedicine2023

Cu

Jiawen He, Ruixiang Song, Fengfeng Xiao, Meng Wang, Liewei Wen

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Jiawen He *Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, People's Republic of China.
Ruixiang Song *Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, People's Republic of China.
Fengfeng XiaoGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai, People's Republic of China.
Meng WangCenter for Biomedical Optics and Photonics (CBOP) & College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, Shenzhen University, Shenzhen, People's Republic of China.
Liewei WenGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai, People's Republic of China.ORCID 0000-0002-4657-6457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Photothermal therapy (PTT) is a promising anticancer treatment that involves inducing thermal ablation and enhancing antitumor immune responses. However, it is difficult to completely eradicate tumor foci through thermal ablation alone. Additionally, the PTT elicited antitumor immune responses are often insufficient to prevent tumor recurrence or metastasis, due to the presence of an immunosuppressive microenvironment. Therefore, combining photothermal and immunotherapy is believed to be a more effective treatment approach as it can modulate the immune microenvironment and amplify the post-ablation immune response. Methods: Herein, the indoleamine 2, 3-dioxygenase-1 inhibitors (1-MT) loaded copper (I) phosphide nanocomposites (Cu Results: Even at low energy of laser irradiation, Cu Conclusion: Cu

Indexed as

CopperDioxygenasesAnimalsCD8-Positive T-LymphocytesImmunomodulationImmunotherapyMiceCopperDioxygenasescopper (I) phosphide (Cu3P)IDO‐1 inhibitorsimmunotherapyphotothermal therapy

Identifiers

PMID37312933
PMCPMC10258043

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.