Evidence map›Paper›PMID 33235701›Full record

ArticleIranian journal of basic medical sciences2020

Ali Ganji, Iman Farahani, Mana Shojapour, Ali Ghazavi, Ghasem Mosayebi

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2020. 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
0.2field-weighted citation impact, top 49% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Application of exosomes in tumor immunity: recent progresses.Frontiers in cell and developmental biology · 2024
    Review
  6. 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

5 authors at 1 institution in 1 country.

Ali GanjiMolecular and Medicine Research Center, Arak University of Medical Sciences, Arak, Iran.
Iman FarahaniDepartment of Microbiology and Immunology, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
Mana ShojapourMolecular and Medicine Research Center, Arak University of Medical Sciences, Arak, Iran.
Ali GhazaviDepartment of Microbiology and Immunology, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
Ghasem MosayebiMolecular and Medicine Research Center, Arak University of Medical Sciences, Arak, Iran.
Arak University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExosomes are nano-sized structures with lipid bilayer membranes that can be secreted by cancer cells. They play an important role in the biology of the tumor extracellular matrix. Exosomes may contain and transfer tumor antigens to dendritic cells to trigger T cell-mediated anti-tumor immune responses. MATERIALS AND

methodsBALB/c mice bearing CT26 colorectal cancer were treated subcutaneously with purified exosomes from analogous tumor cells. The mice were analyzed with respect to tumor size, survival, and anti-tumor immunity responses, including gene expression of cytokines and flowcytometry analysis of T lymphocytes.

resultsThe rate of tumor size growth in the exosome-treated group significantly decreased (

conclusionThe present results revealed that subcutaneous administration of tumor-derived exosomes could effectively lead to the inhibition of tumor progression by decreasing the number of Treg cells and up-regulation of the IFN-γ gene. Therefore, tumor-derived exosomes can be used as potential vaccines in cancer immunotherapy.

Indexed as

CT26 colorectal cancerCytotoxic T-LymphocyteExosomeInterferon-gammaTumor-derived exosomes

Identifiers

PMID33235701
PMCPMC7671432
OpenAlexW3093043248

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.