Evidence map›Paper›PMID 39524138›Full record

ArticleJournal of cell communication and signaling2024

Gastrokine 1 transferred by gastric cancer exosomes inhibits growth and invasion of gastric cancer cells in vitro and in vivo.

Lingling Tian, Li Tang, Xu Li, Liuye Huang

Abstract read
In one paragraph

Article in Journal of cell communication and signaling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lingling TianDepartment of Gastroenterology Yantai Yuhuangding Hospital Shandong University Yantai Shandong China.
Li TangDepartment of Gastroenterology Yantai Yuhuangding Hospital Shandong University Yantai Shandong China.
Xu LiDepartment of Gastroenterology Yantai Yuhuangding Hospital Shandong University Yantai Shandong China.
Liuye HuangDepartment of Gastroenterology Yantai Yuhuangding Hospital Shandong University Yantai Shandong China.ORCID https://orcid.org/0009-0004-0561-0833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In gastric cancer, gastrokine 1 (GKN1) is a potential theragnostic marker while the related mechanisms remain elusive. Exosomes mediate intercellular communications via transferring various molecules, yet there are limited research studies on the specific cargos of gastric cancer exosomes and the associated mechanisms in this disease. In the present study, AGS and N87-C cells were transfected with an overexpressed GKN1 plasmid, followed by extraction of exosomes. The study utilized gastric cancer cell lines and a xenograft mouse model to investigate the functional significance of exosomal GKN1. Cell proliferation, metastasis, and apoptosis were assessed through CCK-8, Transwell, and flow cytometry assays, respectively. The study further explored the mechanism of exosomal GKN1 and its interaction with the PI3K/AKT/mTOR signaling pathways, including immunofluorescence and western blot analyses. Exosomal GKN1 was observed to suppress cell proliferation and invasion while enhancing apoptosis. This effect was attributed to the modulation of key proteins involved in cellular processes, including Ki-67, MMP-9, Bcl-2, Bax, caspase-3, and caspase-9, ultimately impacting the PI3K/AKT/mTOR signaling pathway. The findings suggest that exosomal GKN1 exerts inhibitory effects on gastric cancer cell growth and invasion through the regulation of the PI3K/AKT/mTOR signaling cascade, both in experimental cell cultures and animal models.

Indexed as

exosomesgastric cancerGastrokine 1invasionPI3K/AKT/mTOR

Identifiers

PMID39524138
PMCPMC11544645

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Registered trials

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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.