Evidence map›Paper›PMID 40365338›Full record

ArticleFrontiers in oncology2025

Robotic-assisted gastrointestinal stromal tumor (GIST) resection with endoscopic transoral specimen retrieval (Gastrointestinal Cancer-NOSES Type IX): a case report and literature review.

Lang Wang, Jing Zhang, Dehai Wang, Yifeng Zang, Xianglin Zhu, Shijun Zhao, Cheng Zhao, Hao Liang, Jie Zhang, Yinlu Ding

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2025. 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
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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

10 authors.

Lang WangDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jing ZhangDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Dehai WangDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yifeng ZangDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xianglin ZhuDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Shijun ZhaoDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Cheng ZhaoDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Hao LiangDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jie ZhangDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yinlu DingDepartment of General Surgery, The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the methodology and outcomes of Da Vinci robotic-assisted resection of gastrointestinal stromal tumors (GISTs) combined with endoscopic transoral specimen retrieval (GC-NOSES type IX), establishing a benchmark for minimally invasive treatment of GISTs. Methods: This manuscript details a case involving a GIST situated on the posterior wall of the distal gastric body, adjacent to the lesser curvature, with a size of approximately 2.7 cm and exhibiting an intraluminal growth pattern. The tumor was effectively excised through robot-assisted GIST resection, complemented by endoscopic transoral specimen extraction (GC-NOSES type IX). The case is analyzed alongside pertinent literature and surgical perspectives. Results: The patient was admitted with "persistent abdominal discomfort persisting for over two months." Preoperative enhanced abdominal CT reveals a gastric body lesion measuring approximately 2.7 centimeters, suggestive of a GIST. The patient underwent a successful robot-assisted resection of the GIST, with endoscopic transoral specimen extraction (GC-NOSES type IX). Postoperative histopathological analysis confirmed a GIST measuring 4.0 cm × 3.0 cm × 3.0 cm, classified as low-risk, with clear resection margins. Immunohistochemical profiling showed CD117 (+), CD34 (+), Desmin (-), DOG-1 (+), Ki67 (approximately 5% positive tumor cells), S-100 (-), SDHB (+), SMA (a few cells +), and SOX-10 (-). Conclusion: GISTs are the most common mesenchymal tumors found in the gastrointestinal tract, with a predominant occurrence in the stomach. The primary treatment approach is R0 resection. There is a clear trend towards minimally invasive techniques. Robotic-assisted gastric GIST resection with endoscopic transoral specimen extraction (GC-NOSES type IX) has shown significant advantages in minimally invasive surgery. However, the esophagus's unique anatomical structure necessitates careful selection of surgical indications, mastery of operative techniques, and excellent team coordination. Ensuring surgical safety is crucial to fully harness the minimally invasive benefits of this technique, thereby optimizing patient outcomes.

Indexed as

gastrointestinal stromal tumor (GIST)GC-NOSES Type IXnatural orifice specimen extraction surgery (NOSES)robotic-assisted surgerytransoral specimen retrieval

Identifiers

PMID40365338
PMCPMC12069031

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