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Influence of lymph node removal on the prognosis of high malignancy potential gastric gastrointestinal stromal tumors: Insights from population-based study

  • Zhenguo Qiao ,

    Contributed equally to this work with: Zhenguo Qiao, Zhi Zhang, Junjie Chen

    Roles Data curation, Writing – original draft

    Affiliation Department of Gastroenterology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China

  • Zhi Zhang ,

    Contributed equally to this work with: Zhenguo Qiao, Zhi Zhang, Junjie Chen

    Roles Formal analysis, Writing – original draft

    Affiliation Department of General Surgery, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China

  • Junjie Chen ,

    Contributed equally to this work with: Zhenguo Qiao, Zhi Zhang, Junjie Chen

    Roles Methodology, Writing – original draft

    Affiliation Department of General Surgery, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China

  • Ping Yin,

    Roles Resources

    Affiliation Department of Traditional Chinese Medicine, Wujiang Fifth People’s Hospital, Suzhou, China

  • Xin Ling,

    Roles Supervision

    Affiliation Department of Gastroenterology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China

  • Weihai Chen ,

    Roles Software, Writing – review & editing

    ylxnjq@163.com (LY); 809188748@qq.com (WC)

    Affiliation Department of Cardiology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China

  • Lingxia Yang

    Roles Conceptualization, Writing – review & editing

    ylxnjq@163.com (LY); 809188748@qq.com (WC)

    Affiliation Department of Gastroenterology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China

Abstract

High malignancy potential gastric gastrointestinal stromal tumors (HMP-gGISTs) generally require surgical resection. However, the necessity of lymph node removal (LR) for patients with such tumors remains unclear. Therefore, we conducted a population-based study to analyze the impact of LR on the long-term prognosis of patients with HMP-gGISTs. Patients with HMP-gGISTs were gathered from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was utilized to address potential selection bias. Overall survival (OS) and cancer-specific survival (CSS) were evaluated using Kaplan-Meier analyses and multivariate Cox proportional hazards models. A total of 840 patients with HMP-gGISTs were included in the study, with 317 undergoing LR and 523 not undergoing LR. The prognosis for OS (P = 0.026) and CSS (P < 0.001) in the LR group was worse compared to the No-LR group. After PSM, 634 patients were matched for comparison. The results showed that the OS (P = 0.028) and CSS (P = 0.006) in the LR group remained poorer than those in the No-LR group. Subgroup analysis further indicated that patients who did not undergo LR had a better prognosis. Our findings suggest that LR may not improve the prognosis of patients with HMP-gGISTs, implying that LR may not be necessary for these patients.

Introduction

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms originating from the gastrointestinal tract, accounting for 1%-3% of gastrointestinal tumors [1,2]. The majority of these tumors are found in the stomach (40–51%), followed by the small intestine (20–40%), with other locations including the colon/rectum and the retroperitoneum [35]. Despite the improved prognosis for GIST patients with the introduction of imatinib [6,7], surgical intervention remains the primary treatment for GIST [8,9]. Due to the localized growth pattern of GISTs and their rare occurrence of lymph node metastasis, routine lymph node removal is not recommended. Güller et al. [10] reported that lymph node metastasis was present in 5.1% of GIST patients in the Surveillance, Epidemiology, and End Results (SEER) database. Other studies with small sample sizes have shown varying rates of lymph node metastasis in GIST patients, ranging from 8.8% to 20.7% [11,12]. The presence of lymph node metastasis is associated with poorer overall survival in patients with metastatic GISTs [13].

In addition to being more likely to occur in succinate dehydrogenase (SDH) deficiencies [14,15] and at a younger age [16,17], lymph node metastasis in GIST patients may also be associated with the level of malignancy. Several risk stratification systems have been proposed to assess the recurrence risk after the complete resection of primary GIST, including the modified National Institutes of Health (NIH) classification system [18], American Forces Institute of Pathology (AFIP) criteria [19], and National Comprehensive Cancer Network (NCCN) Guideline biological behavior predictor system [20]. Among these systems, the modified NIH criteria are the most commonly used for evaluating the potential malignant risk of GISTs. They categorize them into four groups (very low, low, intermediate, and high risk) based on tumor size, mitotic count, tumor site, and tumor rupture [18]. For patients with low malignancy potential gastric gastrointestinal stromal tumors (LMP-gGISTs), endoscopic treatment offers a favorable long-term prognosis due to the extremely low risk of lymph node metastasis [21]. On the contrary, for patients with high malignancy potential gastric gastrointestinal stromal tumors (HMP-gGISTs), there is an increased risk of tumor metastasis and postoperative recurrence [22]. However, it is currently uncertain whether lymph node resection during surgery would affect the long-term prognosis of HMP-gist patients. Therefore, utilizing the SEER database, this study conducted a comparative analysis of the long-term prognosis between HMP-gist patients with lymph node resection and those without, with the aim of providing guidance for the surgical strategy in such cases.

Methods

Study population

Patients diagnosed with GIST between 2000 and 2019 were selected from the recently updated SEER database, which covers approximately 28% of the US population and provides comprehensive data on various cancers. The SEER program’s official website offers a wealth of resources, including user manuals, tutorials, and guides to aid in the effective understanding and utilization of the data. The database’s codebook serves as a detailed manual, providing information on the encoding and interpretation of each variable in the database. GISTs were identified based on the International Classification of Diseases for Oncology, Third Edition (ICD-O-3), using the unique histological subtype code 8936. The exclusion criteria consisted of: (1) unknown pathological histological diagnosis; (2) unknown survival information; (3) unknown surgery-related information; (4) patients who did not undergo surgery; (5) unknown mitotic rate information; (6) patients who did not receive chemotherapy; (7) unknown information on lymph nodes removed; (8) unknown tumor size. Fig 1 illustrates a flowchart outlining the protocol followed in the study. The study extracted several covariates, such as age, race, sex, tumor grade, marital status, tumor size, mitotic rate, cancer-specific mortality, overall survival status, and duration of follow-up. Participants were categorized into two age groups: those 60 years old or younger (referred to as the young group) and those older than 60 years (referred to as the elderly group). With regards to race, individuals were classified into white, black, or other races (including American Indian, Alaska Native, and Asian/Pacific Islander). Tumor size was divided into four groups: <2.0, 2.1–5.0, 5.1–10.0, and >10.0. The study used the variable "CS site-specific factor 6" to assess the mitotic rate. Surgery-related information was determined using RX Summ-Surg Prim Site (1998+) codes, and whether LR was performed was determined using RX Summ—Scope Reg LN Sur. The analysis calculated overall survival (OS) and cancer-specific survival (CSS) from the GIST diagnosis until death, death due to cancer, or the last follow-up date. According to the modified NIH criteria (see S1 Table), the very low/low-risk group is defined as having low malignancy potential, while the intermediate/high-risk group is defined as having high malignancy potential. Since the SEER database contains only anonymized, publicly accessible data, the research did not directly involve human subjects, eliminating the need for Institutional Review Board (IRB) approval and informed consent.

Multiple imputation

The research encountered instances of incomplete data in various variables, including race (1.0% of cases), tumor grade (44.6%), and marital status (5.5%). To address this issue, a polytomous regression model was utilized, incorporating the multiple imputation (MI) technique in R software (version 4.1.0). This method was implemented to improve the statistical analysis of the study.

Statistical analysis

Categorical variables were presented as frequencies and percentages, and group comparisons were conducted using the chi-square test. Continuous variables with non-normal distributions were described using medians and interquartile ranges (IQR), and the Mann-Whitney U test was used for comparative analyses. One-to-one PSM was employed to balance the LR and No-LR groups. The propensity model included age, race, sex, tumor grade, marital status, tumor size, and mitotic rate, with a caliper width set at 0.01. OS and CSS were calculated using the Kaplan-Meier method, and group comparisons were made using the log-rank test. Multivariate Cox proportional hazard models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs). All statistical analyses were performed using R software (version 4.0). A significance threshold of P < 0.05 was set to determine significant differences between groups.

Results

Patient characteristics

A total of 840 patients diagnosed with HMP-gGISTs were included in the study, with 317 (37.7%) undergoing LR and 523 (62.3%) not undergoing LR. Prior to PSM, a significant difference (P < 0.05) was observed between the LR and No-LR groups in terms of patient sex and tumor size. The median (IQR) follow-up period for the LR and No-LR groups was 64.0 (43.0–94.5) months and 67.0 (46.0–95.0) months, respectively (P = 0.277). Following PSM, the analysis included 317 matched pairs of patients, with no significant differences observed in any baseline characteristics between the two groups (Table 1). Detailed demographic and clinical data for the patients are presented in Table 1, while S2 Table provides a comprehensive comparison of the demographic and clinical features of the two groups before matching. In S3 Table, out of the 317 patients who underwent LR, a total of 308 patients had examination of regional nodes, with only 23 patients (7.3%) testing positive for regional nodes.

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Table 1. Comparison of the demographic and clinical characteristics between LR and No-LR group in patients with gastric gastrointestinal stromal tumors before and after PSM.

https://doi.org/10.1371/journal.pone.0314504.t001

Comparison between the LR and No-LR groups on OS and CSS

During the median follow-up period of 66.0 months (IQR 45.0 to 94.8 months), there were 91 deaths in the LR group, with 66 attributed to HMP-gGISTs, and 114 deaths in the No-LR group, with 61 attributed to HMP-gGISTs. Prior to PSM, Kaplan-Meier analysis and log-rank tests indicated that the OS (HR 1.37, 95% CI 1.04–1.80, P = 0.026) (Fig 2A) and CSS (HR 1.85, 95% CI 1.31–2.62, P < 0.001) (Fig 2B) were worse in the LR group compared to the No-LR group. After PSM, 634 patients (equally matched between the LR and No-LR groups) were compared. The OS (HR 1.42, 95% CI 1.04–1.80, P = 0.028) (Fig 3A) and CSS (HR 1.73, 95% CI 1.17–2.56, P = 0.006) (Fig 3B) of the LR group continued to be inferior to those of the No-LR group.

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Fig 2. OS and CSS were compared before PSM A.

OS; B CSS OS: Overall survival; CSS: Cancer-specific survival; PSM: Propensity score matching.

https://doi.org/10.1371/journal.pone.0314504.g002

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Fig 3. OS and CSS were compared after PSM A.

OS; B CSS OS: Overall survival; CSS: Cancer-specific survival; PSM: Propensity score matching.

https://doi.org/10.1371/journal.pone.0314504.g003

Univariate and multivariate cox regression

Univariate Cox regression analysis indicated that not performing LR is beneficial for OS (HR 0.70, 95% CI 0.51–0.96, P = 0.028) and CSS (HR 0.58, 95% CI 0.39–0.86, P = 0.006) among patients with HMP-gGISTs. Additionally, multivariate Cox regression analysis also demonstrated that not performing LR can improve patients’ OS (HR 0.70, 95% CI 0.51–0.96, P = 0.025) and CSS (HR 0.55, 95% CI 0.37–0.82, P = 0.003) (Tables 2 and 3).

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Table 2. Univariate and multivariate cox regression for analyzing the overall survival for patients with gastric gastrointestinal stromal tumors.

https://doi.org/10.1371/journal.pone.0314504.t002

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Table 3. Univariate and multivariate cox regression for analyzing the cancer-specific survival for patients with gastric gastrointestinal stromal tumors.

https://doi.org/10.1371/journal.pone.0314504.t003

Subgroup analysis

After performing PSM, most of the subgroup analyses showed a higher OS rate in patients who did not undergo LR, especially in males, those aged 60 years or younger, and those with a mitotic rate exceeding 5/50HPF (Fig 4). Additionally, the analyses consistently demonstrated improved CSS in the No-LR group compared to the LR group, with similar trends observed among the aforementioned subgroups (Fig 5).

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Fig 4. Subgroup analysis of overall survival between LR group and No-LR group after PSM.

PSM: Propensity score matching; LR: Lymph node removed.

https://doi.org/10.1371/journal.pone.0314504.g004

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Fig 5. Subgroup analysis of cancer-specific survival between LR group and No-LR group after PSM.

PSM: Propensity score matching; LR: Lymph node removed.

https://doi.org/10.1371/journal.pone.0314504.g005

Discussion

Consistent with methodologies used in previous research [2326], our study categorizes patients with intermediate/high-risk GISTs as HMP-gGISTs based on modified NIH criteria. Tumor size and mitotic rate are key factors in determining the malignant potential of gGISTs. Tumors measuring between 2.0 and 5.0 cm with a mitotic rate of over 5/50 HPF have a metastasis or tumor-related mortality rate of 16%, while those ranging from 2.0 to 10.0 cm with a mitotic rate below 5/50 HPF show a metastasis or tumor-related mortality rate below 4% [19,27]. Patients with intermediate and high-risk GISTs are at significantly higher risk of recurrence after surgical resection [22,28], indicating not only a greater risk of metastasis but also a worse prognosis for those with HMP-gGISTs [20]. Therefore, improving the prognosis for these patients is a key focus of current research. Some studies have suggested that minimally invasive treatments, such as endoscopic or laparoscopic approaches, may lead to a more favorable prognosis for individuals with LMP-gGISTs [21,2932]. However, enhancing the prognosis for patients with HMP-gGISTs remains an important area of investigation. Surgical resection and adjuvant therapy with imatinib are commonly used approaches to managing HMP-gGISTs [3336]. Therefore, in this study, we excluded cases that did not receive chemotherapy after surgery. Research by Joensuu et al. [35,37] has shown that postoperative imatinib treatment can improve the overall survival of GIST patients. However, the impact of different surgical approaches on the prognosis of HMP-gGISTs patients is still uncertain. Therefore, this study conducted a comparative analysis of the long-term prognosis between patients undergoing LR and those not undergoing LR.

Our study found that regardless of whether it was before or after PSM, the OS and CSS of the LR group were worse than those of the No-LR group (Figs 2 and 3). We believe that for patients with HMP-gGISTs, the poorer prognosis of the LR group compared to the No-LR group may be due to: (1) LR surgery is relatively complex, which may lead to more surgical complications such as bleeding, infection, anastomotic fistula, etc. These complications may prolong the patient’s recovery time, increase postoperative mortality, and thus affect prognosis. At the same time, S3 Table shows that only 23 patients (7.3%) were positive among the 308 patients who underwent regional nodes examined. (2) Lymph nodes are an important component of the immune system, and lymph node dissection may lead to a decrease in immune system function, weakening the body’s immune surveillance and clearance of tumor cells, thereby increasing the risk of recurrence [38,39].

Surgical resection typically focuses on the primary tumor without routine LR [20], resulting in limited research on LR for gastric stromal tumors. Tokunaga et al. [11] documented 57 cases of gGISTs undergoing surgery with LR, with only 5 cases (8.8%) showing lymph node metastasis. However, all 5 patients succumbed within 5 years post-surgery, despite 3 having undergone curative surgery. Corresponding with our study’s conclusion, Kubota et al. indicated that systematic LR might not be a feasible option, and the prognosis of GIST patients may not hinge on whether LR is performed [40]. Nonetheless, the aforementioned studies were confined to individual case reports and small sample sizes. To the best of our knowledge, our study represents the first population-based investigation comparing the long-term prognosis between the LR group and the No-LR group in HMP-gGISTs patients. Alongside the modified NIH criteria, as well as those of AFIP and NCCN, which stress the significance of tumor size and mitotic rate in GIST patient prognosis, our study unveiled that age over 60 and grade are also pivotal factors influencing prognosis for HMP-gGISTs patients.

Our study has several limitations. Firstly, it is a retrospective analysis conducted using the SEER database, which inherently leads to potential data omissions and biases. Nonetheless, we employed MI and PSM techniques to mitigate the effects of missing data and selection bias. Secondly, The SEER database does not contain data regarding postoperative complications, recurrence, margin status, chemotherapy regimen, and genetic mutations of KIT or PDGFRA, all of which may have an impact on the long-term prognosis of patients. Thirdly, information regarding tumor rupture status in GIST surgery patients is absent from the SEER database, and utilizing our own clinical data for subsequent analysis might allow for improved stratification of patients according to their malignant potential. Lastly, the duration of adjuvant treatment (imatinib) is unknown, which could impact survival, as there are studies supporting the use of 1, 2, 3, 5, or even 6 years of adjuvant therapy, and this could influence survival outcomes.

In summary, our study compared the long-term prognosis of HMP-gGISTs patients undergoing surgical treatment with or without LR using the SEER database. We found that LR may not improve the prognosis of patients with HMP-gGISTs. Therefore, we recommend that these patients do not require LR during surgery. However, further collection of clinical information is necessary to further evaluate the impact of LR on the prognosis of HMP-gGISTs patients.

Supporting information

S1 Table. Modified NIH classification system.

https://doi.org/10.1371/journal.pone.0314504.s001

(DOCX)

S2 Table. Comparison of the demographic and clinical characteristics between LR and No-LR group in patients with gastric gastrointestinal stromal tumors before multiple imputation.

https://doi.org/10.1371/journal.pone.0314504.s002

(DOCX)

S3 Table. Information related to the LR group.

https://doi.org/10.1371/journal.pone.0314504.s003

(DOCX)

References

  1. 1. Keung EZ, Raut CP. Management of Gastrointestinal Stromal Tumors. Surg Clin North Am. 2017 Apr;97(2):437–452. pmid:28325196.
  2. 2. Sorour MA, Kassem MI, Ghazal Ael-H, et al. Gastrointestinal stromal tumors (GIST) related emergencies. Int J Surg. 2014;12(4):269–80. Epub 2014 Feb 12. pmid:24530605.
  3. 3. Jacobson BC, Bhatt A, Greer KB, et al. ACG Clinical Guideline: Diagnosis and Management of Gastrointestinal Subepithelial Lesions. Am J Gastroenterol. 2023 Jan 1;118(1):46–58. Epub 2022 Sep 6. pmid:36602835.
  4. 4. Nilsson B, Bümming P, Meis-Kindblom JM, et al. Gastrointestinal stromal tumors: the incidence, prevalence, clinical course, and prognostication in the preimatinib mesylate era—a population-based study in western Sweden. Cancer. 2005 Feb 15;103(4):821–9. pmid:15648083.
  5. 5. Tran T, Davila JA, El-Serag HB. The epidemiology of malignant gastrointestinal stromal tumors: an analysis of 1,458 cases from 1992 to 2000. Am J Gastroenterol. 2005 Jan;100(1):162–8. pmid:15654796.
  6. 6. Klug LR, Khosroyani HM, Kent JD, et al. New treatment strategies for advanced-stage gastrointestinal stromal tumours. Nat Rev Clin Oncol. 2022 May;19(5):328–341. Epub 2022 Feb 25. pmid:35217782.
  7. 7. Pantaleo MA, Nannini M, Di Battista M, et al. Combined treatment strategies in gastrointestinal stromal tumors (GISTs) after imatinib and sunitinib therapy. Cancer Treat Rev. 2010 Feb;36(1):63–8. Epub 2009 Nov 14. pmid:19914780.
  8. 8. Valsangkar N, Sehdev A, Misra S, et al. Current management of gastrointestinal stromal tumors: Surgery, current biomarkers, mutations, and therapy. Surgery. 2015 Nov;158(5):1149–64. Epub 2015 Aug 1. pmid:26243346.
  9. 9. Yonkus JA, Alva-Ruiz R, Grotz TE. Surgical Management of Metastatic Gastrointestinal Stromal Tumors. Curr Treat Options Oncol. 2021 Mar 20;22(5):37. pmid:33743084.
  10. 10. Güller U, Tarantino I, Cerny T, et al. Population-based SEER trend analysis of overall and cancer-specific survival in 5138 patients with gastrointestinal stromal tumor. BMC Cancer. 2015 Jul 30;15:557. pmid:26223313
  11. 11. Tokunaga M, Ohyama S, Hiki N, et al. Incidence and prognostic value of lymph node metastasis on c-Kit-positive gastrointestinal stromal tumors of the stomach. Hepatogastroenterology. 2011 Jul-Aug;58(109):1224–8. pmid:21937383.
  12. 12. Gong N, Wong CS, Chu YC. Is lymph node metastasis a common feature of gastrointestinal stromal tumor? PET/CT correlation. Clin Nucl Med. 2011 Aug;36(8):678–82. Erratum in: Clin Nucl Med. 2011 Sep;36(9):833. Jie, Gong Nan [corrected to Gong, Nanjie]; Sing, Wong Chun [corrected to Wong, Chun Sing]; Ching, Chu Yiu [corrected to Chu, Yiu Ching]; Tiffany [removed]. pmid:21716020.
  13. 13. Gaitanidis A, El Lakis M, Alevizakos M, et al. Predictors of lymph node metastasis in patients with gastrointestinal stromal tumors (GISTs). Langenbecks Arch Surg. 2018 Aug;403(5):599–606. Epub 2018 May 31. pmid:29855800.
  14. 14. Ibrahim A, Chopra S. Succinate Dehydrogenase-Deficient Gastrointestinal Stromal Tumors. Arch Pathol Lab Med. 2020 May;144(5):655–660. Epub 2019 Jun 6. pmid:31169996.
  15. 15. Miettinen M, Lasota J. Succinate dehydrogenase deficient gastrointestinal stromal tumors (GISTs)—a review. Int J Biochem Cell Biol. 2014 Aug;53:514–9. Epub 2014 Jun 2. pmid:24886695
  16. 16. Agaimy A, Wünsch PH. Lymph node metastasis in gastrointestinal stromal tumours (GIST) occurs preferentially in young patients < or = 40 years: an overview based on our case material and the literature. Langenbecks Arch Surg. 2009 Mar;394(2):375–81. Epub 2008 Dec 23. pmid:19104826.
  17. 17. Prakash S, Sarran L, Socci N, et al. Gastrointestinal stromal tumors in children and young adults: a clinicopathologic, molecular, and genomic study of 15 cases and review of the literature. J Pediatr Hematol Oncol. 2005 Apr;27(4):179–87. pmid:15838387.
  18. 18. Joensuu H. Risk stratification of patients diagnosed with gastrointestinal stromal tumor. Hum Pathol. 2008 Oct;39(10):1411–9. pmid:18774375.
  19. 19. Miettinen M, Lasota J. Gastrointestinal stromal tumors: pathology and prognosis at different sites. Semin Diagn Pathol. 2006 May;23(2):70–83. pmid:17193820.
  20. 20. von Mehren M, Randall RL, Benjamin RS, et al. Soft Tissue Sarcoma, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2018 May;16(5):536–563. pmid:29752328.
  21. 21. Joo MK, Park JJ, Lee YH, et al. Clinical Efficacy and Safety of Endoscopic Treatment of Gastrointestinal Stromal Tumors in the Stomach. Gut Liver. 2023 Mar 15;17(2):217–225. Epub 2023 Feb 15. pmid:36789572
  22. 22. Xu SJ, Zhang SY, Dong LY, et al. Dynamic survival analysis of gastrointestinal stromal tumors (GISTs): a 10-year follow-up based on conditional survival. BMC Cancer. 2021 Nov 1;21(1):1170. pmid:34724907
  23. 23. Yang Z, Gao Y, Fan X, et al. A multivariate prediction model for high malignancy potential gastric GI stromal tumors before endoscopic resection. Gastrointest Endosc. 2020 Apr;91(4):813–822. Epub 2019 Oct 1. pmid:31585126.
  24. 24. Ren C, Wang S, Zhang S. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors. Cancer Imaging. 2020 Jan 13;20(1):5. pmid:31931874
  25. 25. Sun XF, Zhu HT, Ji WY, et al. Preoperative prediction of malignant potential of 2–5 cm gastric gastrointestinal stromal tumors by computerized tomography-based radiomics. World J Gastrointest Oncol. 2022 May 15;14(5):1014–1026. pmid:35646280
  26. 26. Liu L, Chen J, Shan J, et al. Development and validation of an EUS-based nomogram for prediction of the malignant potential in gastrointestinal stromal tumors. Scand J Gastroenterol. 2023 Jul;58(7):830–837. Epub 2023 Feb 5. pmid:36740838.
  27. 27. Chen T, Xu L, Dong X, et al. The roles of CT and EUS in the preoperative evaluation of gastric gastrointestinal stromal tumors larger than 2 cm. Eur Radiol. 2019 May;29(5):2481–2489. Epub 2019 Jan 7. pmid:30617491.
  28. 28. Joensuu H, Hohenberger P, Corless CL. Gastrointestinal stromal tumour. Lancet. 2013 Sep 14;382(9896):973–83. Epub 2013 Apr 24. pmid:23623056.
  29. 29. Wang C, Gao Z, Shen K, et al. Safety and efficiency of endoscopic resection versus laparoscopic resection in gastric gastrointestinal stromal tumours: A systematic review and meta-analysis. Eur J Surg Oncol. 2020 Apr;46(4 Pt A):667–674. Epub 2019 Dec 13. pmid:31864827.
  30. 30. Andalib I, Yeoun D, Reddy R, et al. Endoscopic resection of gastric gastrointestinal stromal tumors originating from the muscularis propria layer in North America: methods and feasibility data. Surg Endosc. 2018 Apr;32(4):1787–1792. Epub 2017 Sep 15. pmid:28916847.
  31. 31. Hsiao CY, Yang CY, Lai IR, et al. Laparoscopic resection for large gastric gastrointestinal stromal tumor (GIST): intermediate follow-up results. Surg Endosc. 2015 Apr;29(4):868–73. Epub 2014 Jul 23. pmid:25052129.
  32. 32. Inaba CS, Dosch A, Koh CY, et al. Laparoscopic versus open resection of gastrointestinal stromal tumors: survival outcomes from the NCDB. Surg Endosc. 2019 Mar;33(3):923–932. Epub 2018 Aug 31. pmid:30171396.
  33. 33. Lim KT, Tan KY. Current research and treatment for gastrointestinal stromal tumors. World J Gastroenterol. 2017 Jul 21;23(27):4856–4866. pmid:28785140
  34. 34. Gevorkian J, Le E, Alvarado L, et al. Trends and outcomes of minimally invasive surgery for gastrointestinal stromal tumors (GIST). Surg Endosc. 2022 Sep;36(9):6841–6850. Epub 2022 Jan 19. pmid:35048188.
  35. 35. Joensuu H, Eriksson M, Sundby Hall K, et al. Survival Outcomes Associated With 3 Years vs 1 Year of Adjuvant Imatinib for Patients With High-Risk Gastrointestinal Stromal Tumors: An Analysis of a Randomized Clinical Trial After 10-Year Follow-up. JAMA Oncol. 2020 Aug 1;6(8):1241–1246.
  36. 36. Blay JY, Rutkowski P. Adherence to imatinib therapy in patients with gastrointestinal stromal tumors. Cancer Treat Rev. 2014 Mar;40(2):242–7. Epub 2013 Aug 7. pmid:23931926.
  37. 37. Joensuu H, Eriksson M, Sundby Hall K, et al. One vs three years of adjuvant imatinib for operable gastrointestinal stromal tumor: a randomized trial. JAMA. 2012 Mar 28;307(12):1265–72. pmid:22453568.
  38. 38. Vuletić A, Jovanić I, Jurišić V, et al. Decreased Interferon γ Production in CD3+ and CD3- CD56+ Lymphocyte Subsets in Metastatic Regional Lymph Nodes of Melanoma Patients. Pathol Oncol Res. 2015 Sep;21(4):1109–14. Epub 2015 May 3. pmid:25933640.
  39. 39. Dematteo RP, Ballman KV, Antonescu CR, et al. Adjuvant imatinib mesylate after resection of localised, primary gastrointestinal stromal tumour: a randomised, double-blind, placebo-controlled trial. Lancet. 2009 Mar 28;373(9669):1097–104. Epub 2009 Mar 18. Erratum in: Lancet. 2009 Aug 8;374(9688):450. pmid:19303137
  40. 40. Kubota A, Kuwabara S, Yamaguchi K, et al. Gastrointestinal stromal tumor of the stomach with lymph node metastasis treated by laparoscopic and endoscopic cooperative surgery with lymph node pick-up resection: A case report and literature review. Int J Surg Case Rep. 2020;77:178–181. Epub 2020 Nov 2. pmid:33166815