Evidence map›Paper›PMID 36777519›Full record

ArticleAmerican journal of cancer research2023

Targeted delivery of Dbait by an artificial extracellular vesicle for improved radiotherapy sensitivity of esophageal cancer.

Mingzhi Chen, Yongqing Wang, Jie Lin, Levon Galstyan, Jiaming Qiao, Armen Ghazaryan, Bin Li, Huafei Li

Abstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. "Biomaterials translational · 2024
    Review
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

8 authors.

Mingzhi ChenDepartment of Thoracic and Cardiovascular Surgery, Yixing Hospital Affiliated to Jiangsu University Yixing 214200, Jiangsu, P. R. China.
Yongqing WangSchool of Lifesciences, Shanghai University No. 333 Nanchen Road, Shanghai 200444, P. R. China.
Jie LinDepartment of Thoracic and Cardiovascular Surgery, Yixing Hospital Affiliated to Jiangsu University Yixing 214200, Jiangsu, P. R. China.
Levon GalstyanSchool of Lifesciences, Shanghai University No. 333 Nanchen Road, Shanghai 200444, P. R. China.
Jiaming QiaoSchool of Lifesciences, Shanghai University No. 333 Nanchen Road, Shanghai 200444, P. R. China.
Armen GhazaryanSchool of Lifesciences, Shanghai University No. 333 Nanchen Road, Shanghai 200444, P. R. China.
Bin LiDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200030, P. R. China.
Huafei LiSchool of Lifesciences, Shanghai University No. 333 Nanchen Road, Shanghai 200444, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensification of radiotherapy has been shown to be an effective way for improving the therapeutic efficacy of radiation sensitive malignancies such as esophageal cancer (EC). The application of DNA Bait (Dbait), a type of DNA repair inhibitor, is an emerging strategy for radiosensitization. In this study, a Eca-109 cancerous cytomembrane-cloaked biomimetic drug delivery system (DDS), CMEC-Dbait, was designed and successfully fabricated, for targeted delivery of Dbait. Our systematic evaluation demonstrated that the ingenious artificial gastrointestinal extracellular vesicle owns neat spherical structure, proper particle size (154.6±5.5 nm) and surface charge (2.6±0.3 mV), favourable biocompatibility and immunocompatibility, being conducive to

Indexed as

artificial gastrointestinal extracellular vesiclebiomimetic drug delivery systemDbaitEsophageal cancerradiosensitivity

Identifiers

PMID36777519
PMCPMC9906089

What OpenQuestion holds

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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.