Evidence map›Paper›PMID 32440551›Full record

ArticleScience advances2020

A multistage assembly/disassembly strategy for tumor-targeted CO delivery.

Jin Meng, Zhaokui Jin, Penghe Zhao, Bin Zhao, Mingjian Fan, Qianjun He

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Research (Washington, D.C.) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Single-Cell Analysis Reveals Cxcl14ACS central science · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

6 authors.

Jin MengGuangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, No. 1066 Xueyuan Road, Nanshan District, Shenzhen 518060, Guangdong, China.ORCID 0000-0002-2074-2883
Zhaokui JinGuangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, No. 1066 Xueyuan Road, Nanshan District, Shenzhen 518060, Guangdong, China.ORCID 0000-0002-4308-7025
Penghe ZhaoGuangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, No. 1066 Xueyuan Road, Nanshan District, Shenzhen 518060, Guangdong, China.ORCID 0000-0002-4985-1223
Bin ZhaoGuangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, No. 1066 Xueyuan Road, Nanshan District, Shenzhen 518060, Guangdong, China.
Mingjian FanGuangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, No. 1066 Xueyuan Road, Nanshan District, Shenzhen 518060, Guangdong, China.
Qianjun HeGuangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, No. 1066 Xueyuan Road, Nanshan District, Shenzhen 518060, Guangdong, China.ORCID 0000-0003-0689-8838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CO gas molecule not only could selectively kill cancer cells but also exhibits limited anticancer efficacy because of the lack of active tumor-targeted accumulation capability. In this work, a multistage assembly/disassembly strategy is developed to construct a new intelligent nanomedicine by encapsulating a mitochondria-targeted and intramitochondrial microenvironment-responsive prodrug (FeCO-TPP) within mesoporous silica nanoparticle that is further coated with hyaluronic acid by step-by-step electrostatic assembly, realizing tumor tissue-cell-mitochondria-targeted multistage delivery and controlled release of CO in a step-by-step disassembly way. Multistage targeted delivery and controlled release of CO involve (i) the passive tumor tissue-targeted nanomedicine delivery, (ii) the active tumor cell-targeted nanomedicine delivery, (iii) the acid-responsive prodrug release, (iv) the mitochondria-targeted prodrug delivery, and (v) the ROS-responsive CO release. The developed nanomedicine has effectively augmented the efficacy and safety of CO therapy of cancer both in vitro and in vivo. The proposed multistage assembly/disassembly strategy opens a new window for targeted CO therapy.

Indexed as

NanoparticlesNeoplasmsProdrugsCell Line, TumorDelayed-Action PreparationsDrug Delivery SystemsHumansSilicon DioxideTumor MicroenvironmentDelayed-Action PreparationsProdrugsSilicon Dioxide

Identifiers

PMID32440551
PMCPMC7228751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.