Evidence map›Paper›PMID 41883488›Full record

ReviewJournal of tissue engineering

Advances in esophageal organoids: from construction to applications.

Junling An, Wenjing Wen, Huixian Li, Ping Wang, Yinuo Liu, Gaofeng Liang

Abstract readReview
In one paragraph

Review in Journal of tissue engineering. 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

6 authors.

Junling AnSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.ORCID https://orcid.org/0000-0001-9072-8393
Wenjing WenSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Huixian LiCollege of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
Ping WangSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Yinuo LiuSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Gaofeng LiangSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.ORCID https://orcid.org/0000-0003-0097-0296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal organoids are self-assembled 3D microtissues derived from pluripotent or adult stem cells. They accurately recapitulate the cellular composition, tissue arrangement, and functional properties of the native esophagus. Emerging as powerful tools in disease research, they overcome key limitations of 2D cultures and animal models, such as poor microenvironmental simulation, species differences, and ethical concerns. Based on literature published in the past decades, this review summarizes recent advances in esophageal organoid construction, characterization, and applications in developmental biology, disease modeling, drug screening, and regenerative medicine. The current challenges, such as standardizing culture procedures, genetic instability, and microenvironmental complexity, are critically analyzed. We also highlight innovations such as microfluidic integration and high-throughput automation that improve model fidelity (accuracy and reliability) and support clinical translation. Future interdisciplinary efforts are expected to expand the role of esophageal organoids in precision medicine, enabling personalized diagnosis and therapy for esophageal disorders.

Indexed as

disease modelingdrug screeningesophagusorganoidregenerative medicine

Identifiers

PMID41883488
PMCPMC13009874

What OpenQuestion holds

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LicenceCC BY-NC
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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.