Evidence map›Paper›PMID 41551765›Full record

ArticleBioactive materials2026

Esophagus extracellular matrix with microenvironmental complexity for esophageal organoids.

Sewon Park, Eun Je Jeon, Won-Gun Koh, Seung-Woo Cho

Abstract read
In one paragraph

Article in Bioactive materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Sewon ParkDepartment of Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.
Eun Je JeonDepartment of Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.
Won-Gun KohDepartment of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
Seung-Woo ChoDepartment of Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal organoids have the potential to serve as promising therapeutics for esophageal mucosal damage, but their application remains largely unexplored. A critical initial step in this application involves addressing the challenges posed by Matrigel (MAT)-based conventional organoid culture, as its tumor-derived origin hinders clinical applications. In this study, we demonstrate the application of decellularized esophagus-derived extracellular matrix (EEM) to the culture and transplantation of esophageal organoids, inspired by excellent biocompatibility and esophageal mimicry of EEM. Our comprehensive proteomic analysis reveals that EEM recapitulates microenvironmental complexity suitable for esophageal organoids by providing diverse esophagus-specific proteins absent in MAT. Esophageal organoids grown in EEM hydrogel can expand through multiple passages and exhibit comparable or elevated expression of esophagus-related genes compared to those grown in MAT. The transplantation of esophageal organoids with EEM not only promotes epithelial regeneration but also mitigates fibrosis at the wound site in a mouse model of an esophageal ulcer. Furthermore, the protein profiles of esophageal tissues undergoing regeneration support the activation of wound healing following organoid transplantation. Taken together, the EEM-based approach for esophageal organoid culture and transplantation would pave the way for advancing esophageal organoid applications by providing a stable and refined matrix to replace MAT.

Indexed as

Esophageal organoidsEsophageal regenerationEsophageal ulcersEsophagus extracellular matrix

Identifiers

PMID41551765
PMCPMC12809746

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LicenceCC BY-NC-ND
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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.