Gastrointestinal stromal tumors of the stomach

Uzunoğlu, Hakan; Tosun, Yasin; Akıncı, Ozan; Baris, Baver

doi:10.4103/njcp.njcp_558_20

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…While our study con rmed the e cacy of postoperative oral IM treatment in reducing recurrence risk and extending survival for high-risk GIST patients, IM treatment was not an independent prognostic factor for overall survival according to our multifactorial analysis. This nding, potentially in uenced by our study's limited sample size, aligns with the ndings of previous research 34,35,36,37 . The role of the NLR in GIST prognosis, possibly through its in uence on in ammatory reactions and immune suppression, warrants further investigation to elucidate its exact mechanism in tumor progression 38,39,40 .…”

Section: Discussionsupporting

confidence: 92%

Inflammatory Biomarker Correlations and Prognosis in High-risk Gastrointestinal Stromal Tumor Patients: A Multicenter Retrospective Analysis

Wang,

Qi,

Zhao

et al. 2024

Preprint

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Background The intricate prognosis of gastrointestinal stromal tumors (GISTs) has garnered significant attention, yet a gap persists in understanding the influence of inflammatory markers on the prognosis of high-risk GIST patients. This study investigated the relationship between various factors and the prognosis of high-risk GIST patients, with a specific focus on first recurrence-free survival (RFS) and overall survival (OS) as crucial prognostic indicators. Methods A comprehensive collection of clinical data was conducted on 145 high-risk GIST patients meeting specific inclusion and exclusion criteria at 17 medical centers in Ningxia, China, covering the period from January 2013 to December 2019. Single-factor analysis and survival curves were used to analyze the variables, while the Cox regression model evaluated independent prognostic factors. Results Within the cohort, a balanced male-to-female ratio of 1:1.1 was observed. Single-factor analysis revealed compelling associations between RFS and age, preoperative neutrophil-to-lymphocyte ratio (NLR), preoperative platelet-to-lymphocyte ratio (PLR), preoperative systemic immune-inflammatory index (SII), preoperative prognostic nutritional index (PNI), mitotic index, and imatinib (IM) with RFS in high-risk GIST patients. These variables also exhibited statistically significant associations with OS (all with p values < 0.05). Cox regression analysis revealed that age, preoperative NLR, mitotic index, IM, and adjuvant therapy independently impacted RFS. Additionally, the preoperative NLR and mitotic index emerged as independent factors influencing OS, all of which demonstrated statistical significance (p values < 0.05). Age exhibited a negative correlation with RFS, and early regular IM treatment following surgery significantly decreased the recurrence risk. An elevated NLR and higher mitotic indices were strongly linked to poorer RFS and OS. Conclusion The data revealed a significant correlation between age, preoperative NLR, and mitotic index and an unfavorable prognosis in high-risk GIST patients. Notably, the NLR was identified as a potential additional prognostic factor, enhancing the accuracy of predicting treatment efficacy and patient outcomes in high-risk patients with GISTs. Therefore, we advocate for the serious consideration of the NLR as a valuable addition to standard clinical practice for managing high-risk GIST patients.

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Section: Discussionsupporting

confidence: 92%

Inflammatory Biomarker Correlations and Prognosis in High-risk Gastrointestinal Stromal Tumor Patients: A Multicenter Retrospective Analysis

Wang,

Qi,

Zhao

et al. 2024

Preprint

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“…[ 6 ] Early diagnosis is imperative to achieve high rates of disease-free survival, yet the extensive testing required for a diagnosis takes substantial time. [ 7 ] Therefore, implementing technology that predicts a concomitant tumor of other organs among GIST patients could significantly impact the overall prognosis of this condition.…”

Section: Introductionmentioning

confidence: 99%

Using machine learning models to predict synchronous genitourinary cancers among gastrointestinal stromal tumor patients

Alghafees,

Seyam,

Al-Hussain

et al. 2024

Urology Annals

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Objectives: Gastrointestinal stromal tumors (GISTs) can occur synchronously with other neoplasms, including the genitourinary (GU) system. Machine learning (ML) may be a valuable tool in predicting synchronous GU tumors in GIST patients, and thus improving prognosis. This study aims to evaluate the use of ML algorithms to predict synchronous GU tumors among GIST patients in a specialist research center in Saudi Arabia. Materials and Methods: We analyzed data from all patients with histopathologically confirmed GIST at our facility from 2003 to 2020. Patient files were reviewed for the presence of renal cell carcinoma, adrenal tumors, or other GU cancers. Three supervised ML algorithms were used: logistic regression, XGBoost Regressor, and random forests (RFs). A set of variables, including independent attributes, was entered into the models. Results: A total of 170 patients were included in the study, with 58.8% (n = 100) being male. The median age was 57 (range: 9–91) years. The majority of GISTs were gastric (60%, n = 102) with a spindle cell histology. The most common stage at diagnosis was T2 (27.6%, n = 47) and N0 (20%, n = 34). Six patients (3.5%) had synchronous GU tumors. The RF model achieved the highest accuracy with 97.1%. Conclusion: Our study suggests that the RF model is an effective tool for predicting synchronous GU tumors in GIST patients. Larger multicenter studies, utilizing more powerful algorithms such as deep learning and other artificial intelligence subsets, are necessary to further refine and improve these predictions.

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Laparoscopic Wedge Resection for Gastric Mesenchymal Tumor – Small Case Series

Moga¹,

Popențiu²,

Popa³

2023

RJMM

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" Introduction: Gastric mesenchymal tumors are a pathology that is increasing in incidence in recent years but the treatment is not yet standardized. The laparoscopic approach to these lesions is a modern option, with the patient benefiting from the advantages of minimally invasive surgery. Methods: We included in the study 4 patients operated laparoscopically for suspicion of gastric GISTs between Mars 2019 and May 2022. From a prospectively kept database, we extracted the following characteristics: age, sex, length of postoperative hospital admission, operation time, tumor location, tumor size, histopathological assessment of resection margins, intraoperative blood loss, and incidence of postoperative complications. Results: Average tumor size was 4.3 cm, ranging from 4 to 6 cm. Laparoscopic wedge resection was possible in all cases. There was no conversion, no episode of tumor rupture or spillage, and no major intraoperative complications. Histology confirmed a GIST in 3 of 4 cases. In one case histological workup showed gastric schwannoma. Conclusion: Laparoscopic wedge resection for gastric stromal tumors, even larger than 5 cm, appears to be safe and feasible in selected patients, with acceptable operative time and oncological outcome after an intermediate follow-up. More important than the size of tumors that are approached laparoscopically is their location and the possibility of a stenosis-free resection."

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Gastrointestinal stromal tumors of the stomach

Cited by 3 publications

References 22 publications

Inflammatory Biomarker Correlations and Prognosis in High-risk Gastrointestinal Stromal Tumor Patients: A Multicenter Retrospective Analysis

Inflammatory Biomarker Correlations and Prognosis in High-risk Gastrointestinal Stromal Tumor Patients: A Multicenter Retrospective Analysis

Using machine learning models to predict synchronous genitourinary cancers among gastrointestinal stromal tumor patients

Laparoscopic Wedge Resection for Gastric Mesenchymal Tumor – Small Case Series

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