Evidence map›Paper›PMID 39003372›Full record

ArticleBritish journal of cancer2024

Cell-cell contact-dependent secretion of large-extracellular vesicles from EFNB

Kaito Hayashi, Kurara Takagane, Go Itoh, Sei Kuriyama, Souichi Koyota, Kenji Meguro, Yiwei Ling, Tatsuya Abé, Riuko Ohashi, Masakazu Yashiro and 2 more

Abstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Contrast-enhanced ultrasound quantitative parameters for predicting benign and malignant greater omentum lesions: an applied study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  5. Article
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

12 authors.

Kaito HayashiDepartment of Molecular Medicine and Biochemistry, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Kurara TakaganeDepartment of Molecular Medicine and Biochemistry, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Go ItohDepartment of Molecular Medicine and Biochemistry, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Sei KuriyamaDepartment of Molecular Medicine and Biochemistry, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Souichi KoyotaBioscience Education and Research Support Center, Akita University, 1-1-1 Hondo, Akita, 010-8543, Japan.
Kenji MeguroBioscience Education and Research Support Center, Akita University, 1-1-1 Hondo, Akita, 010-8543, Japan.
Yiwei LingMedical AI Center, Niigata University School of Medicine, Niigata University Life Innovation Hub, 2-5274, Gakkocho-dori, Chuo-ku, Niigata, 951-8514, Japan.
Tatsuya AbéDivision of Oral Pathology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, 1-757 Asahimachi-dori, Chuo-ku, Niigata, 951-8510, Japan.
Riuko OhashiDivisions of Molecular and Diagnostic Pathology, Graduate School of Medical and Dental Sciences, Niigata University, 1-757 Asahimachi-dori, Chuo-ku, Niigata, 951-8510, Japan.
Masakazu YashiroDepartment of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahimachi, Abeno-ku, Osaka, 545-8545, Japan.
Masaru MizunoDepartment of Pediatric Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Masamitsu TanakaDepartment of Molecular Medicine and Biochemistry, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan. mastanak@med.akita-u.ac.jp.ORCID http://orcid.org/0000-0002-4823-9737

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 21K07090MEXT | Japan Society for the Promotion of Science (JSPS) 22H02897MEXT | Japan Society for the Promotion of Science (JSPS) 22H04373MEXT | Japan Society for the Promotion of Science (JSPS) 22K07163MEXT | Japan Society for the Promotion of Science (JSPS) 23K18307
6 · The paper itself

Abstract

backgroundLarge non-apoptotic vesicles released from the plasma membrane protrusions are classified as large-EVs (LEVs). However, the triggers of LEV secretion and their functions in tumors remain unknown.

methodsCoculture system of cancer cells, peritoneal mesothelial cells (PMCs), and macrophages (MΦs) was conducted to observe cell-cell contact-mediated LEV secretion. Lineage tracing of PMCs was performed using Wt1

resultsIn peritoneal dissemination, cancer cells expressing Ephrin-B (EFNB) secreted LEVs upon the contact with PMCs expressing ephrin type-B (EphB) receptors, which degraded mesothelial barrier by augmenting mesothelial-mesenchymal transition. LEVs were incorporated in subpleural MΦs, and these MΦs transdifferentiated into lymphatic endothelial cells (LEC) and integrated into the lymphatic vessels. LEC differentiation was also induced in PMCs by interacting with LEV-treated MΦs, which promoted lymphangiogenesis. Mechanistically, activation of RhoA-ROCK pathway through EFNB reverse signaling induced LEV secretion. EFNBs on LEVs activated EphB forward signaling in PMC and MΦs, activating Akt, ERK and TGF-β1 pathway, which were indispensable for causing MMT and LEC differentiation. LEVs accelerated peritoneal dissemination and lymphatic invasions by cancer cells. Blocking of EFNBs on LEVs using EphB-Fc-fusion protein attenuated these events.

conclusionsEFNB

Indexed as

Cell CommunicationExtracellular VesiclesLymphangiogenesisAnimalsCell Line, TumorCoculture TechniquesHumansMacrophagesMicePeritoneal NeoplasmsPeritoneumSignal Transduction

Identifiers

PMID39003372
PMCPMC11405516

What OpenQuestion holds

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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.