Evidence map›Paper›PMID 35884611›Full record

ReviewCancers2022

Effects of Exosomal Viral Components on the Tumor Microenvironment.

Jing Li, Yan Zhang, Bing Luo

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. The Role of Extracellular Vesicles in Epstein-Barr Virus Immunology and Pathogenesis for Possible Diagnostic and Therapeutic Direction.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Research progress on the mechanism of exosome-mediated virus infection.Frontiers in cellular and infection microbiology · 2024
    Review
  7. Review
  8. Review
  9. Review
  10. 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

3 authors at 1 institution in 1 country.

Jing LiDepartment of Pathogenic Biology, School of Basic Medicine, Qingdao University, Qingdao 266071, China.
Yan ZhangDepartment of Pathogenic Biology, School of Basic Medicine, Qingdao University, Qingdao 266071, China.
Bing LuoDepartment of Pathogenic Biology, School of Basic Medicine, Qingdao University, Qingdao 266071, China.ORCID 0000-0002-6541-5958
Qingdao University · CN

Funding

Natural Science Foundation of Shandong Province [ZR2020MH302; ZR2020MC020]Qingdao Science and Technology Benefit the People Demonstration and Guidance Special Project (20-3-4-35-nsh)
6 · The paper itself

Abstract

Exosomes are extracellular membrane vesicles with a diameter of 30-100 nm, produced by different eukaryotic cells that contain multitudinous lipids, nucleic acids, and proteins. They transfer membrane components and nucleic acids between cells, thereby performing an information exchange between cells. Many studies have shown that a variety of tumor-associated viruses can exert their biological functions through exosomes. The tumor microenvironment (TME) is very important in the occurrence, development, and chemoresistance of tumors. It is composed of tumor cells, fibroblasts, endothelial cells, immune cells, stromal cells, and acellular components, such as exosomes and cytokines. This review focuses on the effects of virus-related components secreted by tumor cells over the TME in several virus-associated cancers.

Indexed as

cancersexosomeoncovirustumor microenvironment

Identifiers

PMID35884611
PMCPMC9317196
OpenAlexW4286111570

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.