Evidence map›Paper›PMID 42761781›Full record

ArticleJournal of surgical case reports2026

Total laparoscopic R0 resection of a large retroperitoneal leiomyosarcoma HARBORING a rare TP53 mutation: a case report.

Doi Van Mai, Phu Diep Thien Duong, Tuan Van Nguyen, Kiet Gia Le Nguyen

Abstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2026. 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

4 authors.

Doi Van MaiDepartment of General Surgery, Can Tho University of Medicine and Pharmacy Hospital, Can Tho University of Medicine and Pharmacy, 179 Nguyen Van Cu Street, Tan An ward, Can Tho City, Vietnam.
Phu Diep Thien DuongDepartment of General Surgery, Can Tho University of Medicine and Pharmacy Hospital, Can Tho University of Medicine and Pharmacy, 179 Nguyen Van Cu Street, Tan An ward, Can Tho City, Vietnam.
Tuan Van NguyenDepartment of General Surgery, Can Tho University of Medicine and Pharmacy Hospital, Can Tho University of Medicine and Pharmacy, 179 Nguyen Van Cu Street, Tan An ward, Can Tho City, Vietnam.
Kiet Gia Le NguyenDepartment of General Surgery, Can Tho University of Medicine and Pharmacy Hospital, Can Tho University of Medicine and Pharmacy, 179 Nguyen Van Cu Street, Tan An ward, Can Tho City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary retroperitoneal sarcomas (RPS) are rare, with leiomyosarcoma (LMS) being the second most common subtype. While open surgery is the standard of care, total laparoscopic resection for large RPS remains technically challenging and infrequently reported. Herein, we present a rare case of a 60-year-old woman who presented with a 6-month history of dull abdominal pain. Computed tomography revealed a large 10 cm retroperitoneal mass initially mimicking a duodenal gastrointestinal stromal tumour. The patient underwent a successful totally laparoscopic en bloc R0 resection with uneventful recovery. Histopathology and immunohistochemistry confirmed LMS (Actin and Desmin positive; CD117, CD34, DOG1, β-catenin, and S100 negative). Genetic analysis identified a rare TP53 G105R mutation (c.313G > C). Conclusion: Total laparoscopic R0 resection is a safe and feasible option for large LMS when performed by experienced surgical teams. Identifying rare molecular profiles provides deeper insights into the biological behaviour and personalized management of this rare disease.

Indexed as

laparoscopic resectionleiomyosarcomaretroperitoneal sarcomaTP53 mutation

Identifiers

PMID42761781
PMCPMC13587094

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.