Evidence map›Paper›PMID 36073839›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Self-Splittable Transcytosis Nanoraspberry for NIR-II Photo-Immunometabolic Cancer Therapy in Deep Tumor Tissue.

Li Wang, Wei Jiang, Yanhong Su, Meixiao Zhan, Shaojun Peng, Hang Liu, Ligong Lu

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Turning foes to friends: Advanced "Bioactive materials · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Li WangGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, 519000, P. R. China.
Wei JiangDepartment of Radiology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, P. R. China.
Yanhong SuGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, 519000, P. R. China.
Meixiao ZhanGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, 519000, P. R. China.
Shaojun PengGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, 519000, P. R. China.
Hang LiuDepartment of Radiology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, P. R. China.
Ligong LuGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, 519000, P. R. China.ORCID 0000-0002-4031-4851
Jinan University · CNUniversity of Science and Technology of China · CN

Funding

China Postdoctoral Science Foundation 2020M683160Foundation of Department of Science and Technology of Sichuan Province 2020YFQ0004Fundamental Research Fund for the Central Universities WK9100000006Fundamental Research Fund for the Central Universities WK9100000014Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment 2021B1212040004National Key R&D Program of China 2020YFA0710700National Natural Science Foundation of China 32101139National Natural Science Foundation of China 52025036National Natural Science Foundation of China 52103192National Natural Science Foundation of China 82000018Natural Science Foundation of Guangdong Province of China 2022B1515020010Project of Collaborative Innovation for Colleges of Anhui Province GXXT-2021-070
6 · The paper itself

Abstract

Cancer photo-immunotherapy (CPIT) as an ideal strategy can rapidly release hostile signals by appropriate dosage of focal laser irradiation to unmask primary tumor immunogenicity and can activate adaptive immunity to control distant metastases. However, many factors, including disordered immunometabolism, poor penetration of photothermal agents and immuno-regulators, inadequate laser penetration into the deep tumor region, restrict the therapeutic outcomes of CPIT. Here, a second near-infrared window (NIR-II) photo-immunometabolic cancer therapy (PICT) by a programmed raspberry-structured nanoadjuvant (PRN

Indexed as

NeoplasmsAnimalsCopperImmunotherapyIndoleamine-Pyrrole 2,3,-DioxygenaseMiceTranscytosisTumor MicroenvironmentCoppercupric sulfideIndoleamine-Pyrrole 2,3,-Dioxygenaseimmunogenic cell deathimmunosuppressionNIR-II photo-immunometabolic cancer therapytranscytosistumor penetration

Identifiers

PMID36073839
PMCPMC9661837
OpenAlexW4294992466

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.