Evidence map›Paper›PMID 40933567›Full record

ArticleFrontiers in medicine2025

Curative endoscopic resection of giant esophageal dedifferentiated liposarcoma: a case report and literature review.

Mingqing Liu, Huimei Wang, Nan Zhang, Hong Xu

Abstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2025. 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
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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.

Mingqing LiuDepartment of Gastroenterology and Endoscopy Center, The First Hospital of Jilin University, Changchun, China.
Huimei WangDepartment of Gastroenterology and Endoscopy Center, The First Hospital of Jilin University, Changchun, China.
Nan ZhangDepartment of Gastroenterology and Endoscopy Center, The First Hospital of Jilin University, Changchun, China.
Hong XuDepartment of Gastroenterology and Endoscopy Center, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal dedifferentiated liposarcoma (DDLPS) is extremely rare. We report a case of esophageal dedifferentiated liposarcoma (DDLPS) measuring 12.5 × 3.0 × 2.8 cm in a 62-year-old male presenting with a one-year history of progressive dysphagia. Esophagogastroduodenoscopy and computed tomography showed a large pedunculated submucosal tumor arising from the esophageal entrance and extending intraluminally to 35 cm from the incisor teeth, partially obstructing the esophageal lumen. Curative endoscopic resection was successfully achieved using a novel technique employing an externally placed snare and nylon loop outside the endoscope, thereby avoiding traumatic surgical operation. Histopathologic examination showed that the giant tumor was composed of a differentiated lipomatous component adjacent to dedifferentiated spindle cells. Immunohistochemical analysis revealed spindle cells were positive for p16, CDK4, MDM2, CD34, and CD31. The differentiated lipomatous areas were positive for S-100. The definitive pathologic diagnosis confirmed a dedifferentiated liposarcoma, and the margin was negative. This represents the fifth reported case of esophageal DDLPS successfully managed through endoscopic resection. This externally deployed snare and nylon loop technique provides a viable and less invasive alternative for endoscopic resection of large pedunculated esophageal DDLPS. However, long-term follow-up is necessary to evaluate both therapeutic outcomes and prognosis fully.

Indexed as

dedifferentiatedendoscopic resectionesophagealhistopathological analysisliposarcoma

Identifiers

PMID40933567
PMCPMC12417198

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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.