Evidence map›Paper›PMID 34513718›Full record

ReviewFrontiers in oncology2021

Exosomes as Smart Nanoplatforms for Diagnosis and Therapy of Cancer.

Yuying Zhao, Piaoxue Liu, Hanxu Tan, Xiaojia Chen, Qi Wang, Tongkai Chen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. 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
2.3field-weighted citation impact, top 11% 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, 38 citations in OpenAlex.

  1. Review
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  9. Glioma-Derived Exosomes and Their Application as Drug Nanoparticles.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
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  18. Nanomaterial Probes for Nuclear Imaging.Nanomaterials (Basel, Switzerland) · 2022
    Review
  19. Review
  20. 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

6 authors at 2 institutions in 2 countries.

Yuying ZhaoScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Piaoxue LiuScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Hanxu TanSchool of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaojia ChenState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Qi WangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Tongkai ChenScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNUniversity of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are composed of a lipid bilayer membrane, containing proteins, nucleic acids, DNA, RNA, etc., derived from donor cells. They have a size range of approximately 30-150 nm. The intrinsic characteristics of exosomes, including efficient cellular uptake, low immunogenicity, low toxicity, intrinsic ability to traverse biological barriers, and inherent targeting ability, facilitate their application to the drug delivery system. Here, we review the generation, uptake, separation, and purification methods of exosomes, focusing on their application as carriers in tumor diagnosis and treatment, especially in brain tumors, as well as the patent applications of exosomes in recent years.

Indexed as

biomarkerbrain cancercancer diagnosiscancer therapyexosomes

Identifiers

PMID34513718
PMCPMC8427309
OpenAlexW3196913899

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.