Two staging systems for gastrointestinal stromal tumors in the stomach: which is better?
- PMID: 29207963
- PMCID: PMC5718111
- DOI: 10.1186/s12876-017-0705-7
Two staging systems for gastrointestinal stromal tumors in the stomach: which is better?
Abstract
Background: The prognosis of a gastrointestinal stromal tumor (GIST) is influenced by its anatomic site; however, few studies on the prognosis of gastric GISTs have been reported. The aims of this study were to evaluate long-term prognoses of patients who underwent surgical resection for gastric GISTs and to compare the clinical efficacy of two staging systems: the National Institutes of Health (NIH) consensus criteria and the 7th Union for International Cancer Control/American Joint Committee on Cancer (UICC/AJCC) tumor-node-metastasis (TNM) staging system.
Methods: We conducted a retrospective observational study of 145 patients who underwent surgical resection for gastric GISTs between February 2001 and June 2012 at Pusan National University Hospital (Busan, Korea). Recurrence and 5-year recurrence-free survival (RFS) rates were analyzed.
Results: During a median follow-up period of 44 months (range, 6-144 months), 11 recurrent lesions were detected in 9 patients (6.4%). On multivariate analysis, tumor size (>5 cm), mitotic count (>5/50 high-power fields), and epithelioid and mixed pathological type were significantly associated with recurrence. The overall 5-year RFS rate was 93.4%. Although no statistically significant differences were detected (C-statistic difference P = 0.886), all metrics showed lower values for the UICC/AJCC TNM staging system than for the NIH consensus criteria, suggesting that the UICC/AJCC TNM staging system may be a better model.
Conclusions: The 5-year RFS rate in patients who underwent curative resection for gastric GISTs was excellent. The UICC/AJCC TNM staging system may be more useful than the NIH consensus criteria for risk categorization of patients with gastric GISTs.
Keywords: Gastrointestinal stromal tumors; Prognosis; Recurrence; Staging; Stomach.
Conflict of interest statement
Ethics approval and consent to participate
The study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Pusan National University Hospital (E-2015216).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figures



Similar articles
-
Clinical utility of the new American Joint Committee on Cancer staging system for gastrointestinal stromal tumors: current overall survival after primary tumor resection.Cancer. 2011 Nov 1;117(21):4916-24. doi: 10.1002/cncr.26079. Epub 2011 Mar 31. Cancer. 2011. PMID: 21456019
-
Long-Term Surgical Outcome of 1057 Gastric GISTs According to 7th UICC/AJCC TNM System: Multicenter Observational Study From Korea and Japan.Medicine (Baltimore). 2015 Oct;94(41):e1526. doi: 10.1097/MD.0000000000001526. Medicine (Baltimore). 2015. PMID: 26469894 Free PMC article.
-
Prognostic Factors of Patients with Gastric Gastrointestinal Stromal Tumor after Curative Resection: A Retrospective Analysis of 406 Consecutive Cases in a Multicenter Study.Eur Surg Res. 2015;55(1-2):12-23. doi: 10.1159/000375234. Epub 2015 Feb 28. Eur Surg Res. 2015. PMID: 25766570
-
Consideration of tumor size improves the accuracy of TNM predictions in patients with gastric cancer after curative gastrectomy.Surg Oncol. 2013 Sep;22(3):167-71. doi: 10.1016/j.suronc.2013.05.002. Epub 2013 Jun 18. Surg Oncol. 2013. PMID: 23787074 Review.
-
Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts.Lancet Oncol. 2012 Mar;13(3):265-74. doi: 10.1016/S1470-2045(11)70299-6. Epub 2011 Dec 6. Lancet Oncol. 2012. PMID: 22153892 Review.
Cited by
-
Application of A Convolutional Neural Network in The Diagnosis of Gastric Mesenchymal Tumors on Endoscopic Ultrasonography Images.J Clin Med. 2020 Sep 29;9(10):3162. doi: 10.3390/jcm9103162. J Clin Med. 2020. PMID: 33003602 Free PMC article.
-
Deep learning model combined with computed tomography features to preoperatively predicting the risk stratification of gastrointestinal stromal tumors.World J Gastrointest Oncol. 2024 Dec 15;16(12):4663-4674. doi: 10.4251/wjgo.v16.i12.4663. World J Gastrointest Oncol. 2024. PMID: 39678791 Free PMC article.
-
Excellent oncological outcomes besides short-term safety of laparoscopic and endoscopic cooperative surgery for gastric gastrointestinal stromal tumor.Endosc Int Open. 2022 Sep 14;10(9):E1254-E1260. doi: 10.1055/a-1895-9507. eCollection 2022 Sep. Endosc Int Open. 2022. PMID: 36118650 Free PMC article.
-
Digital image analysis-based scoring system for endoscopic ultrasonography is useful in predicting gastrointestinal stromal tumors.Gastric Cancer. 2019 Sep;22(5):980-987. doi: 10.1007/s10120-019-00928-w. Epub 2019 Feb 18. Gastric Cancer. 2019. PMID: 30778798
-
Survival outcome and impact of delayed imatinib therapy in gastric gastrointestinal stromal tumors.Front Surg. 2025 Apr 3;12:1569677. doi: 10.3389/fsurg.2025.1569677. eCollection 2025. Front Surg. 2025. PMID: 40248817 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
- 0920050/National R&D Program for Cancer Control, Ministry for Health, Welfare and Family Affairs, Republic of Korea
- 0920050/National R&D Program for Cancer Control, Ministry for Health, Welfare and Family Affairs, Republic of Korea
- NRF-2015R1A5A2009656/Medical Research Center Program through the National Research Foundation of Korea grant funded by the Korea government
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical