Evidence map›Paper›PMID 40715869›Full record

ArticleAnnals of surgical oncology2025

Evaluation of Exosome-Based Delivery of Tumor-Suppressive microRNAs for Novel Therapy in Peritoneal Dissemination of Gastric Cancer: Evidence from Experimental Animal Models.

Taiga Yamamoto, Tomohiro Arita, Hirotaka Konishi, Kenji Nanishi, Kazuya Takabatake, Yuki Shimauchi, Chiaki Ikeshita, Hayato Matsuda, Rie Shibata, Hiroyuki Inoue and 9 more

Abstract read
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In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

19 authors.

Taiga YamamotoDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tomohiro AritaDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan. t-art@koto.kpu-m.ac.jp.ORCID http://orcid.org/0000-0001-7127-6504
Hirotaka KonishiDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kenji NanishiDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kazuya TakabatakeDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yuki ShimauchiDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Chiaki IkeshitaDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hayato MatsudaDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Rie ShibataDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroyuki InoueDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Keiji NishibeppuDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Taisuke ImamuraDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Jun KiuchiDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroki ShimizuDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yusuke YamamotoDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Shuhei KomatsuDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takeshi KubotaDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hitoshi FujiwaraDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Atsushi ShiozakiDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeritoneal dissemination poses a critical challenge in advanced gastric cancer and leads to poor outcomes. Exosomes offer a novel platform for the delivery of tumor-suppressive microRNAs (miRNAs). MicroRNA-338-3p (miR-338-3p), a known tumor suppressor, may target tumor cells and enhance the resistance of normal cells to tumor progression. This study evaluated the therapeutic potential of exosomes loaded with miR-338-3p (Exo338) in preventing peritoneal dissemination of gastric cancer.

methodsExosomes loaded with miR-338-3p using Exo-Fect

resultsOverexpression of miR-338-3p inhibited the proliferation and adhesion of gastric cancer cells in vitro. Exosomes derived from tumor cells showed a lower uptake efficiency, whereas those from MeT-5A cells were efficiently taken up by normal mesothelial cells. Exo338 reduced the ability of tumor cells to adhere to normal mesothelial cells. In vivo, Exo338 administration in a peritoneal dissemination model showed a trend toward a reduced tumor burden.

conclusionsExosome-mediated delivery of miR-338-3p offers a promising approach for gastric cancer therapy by reducing tumor adhesion to mesothelial cells. This strategy underscores the potential of exosome-based miRNA therapies for the treatment of advanced gastric cancer.

Indexed as

ExosomesMicroRNAsPeritoneal NeoplasmsStomach NeoplasmsAnimalsCell AdhesionCell Line, TumorCell ProliferationDisease Models, AnimalHumansMiceMice, Inbred BALB CMice, NudeTumor Cells, CulturedXenograft Model Antitumor AssaysMicroRNAsMIRN338 microRNA, humanDrug deliveryExosomesGastric cancerMicroRNAsPeritoneal dissemination

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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 Socratic graph.