Clinicopathological characteristics and prognostic factors of gastrointestinal stromal tumors in Chinese patients

التفاصيل البيبلوغرافية
العنوان: Clinicopathological characteristics and prognostic factors of gastrointestinal stromal tumors in Chinese patients
المؤلفون: Jun‑Cheng Wang, Ming‑Lei Yang, Ding‑Kang Yao, Wen Bin Zou
المصدر: Oncology letters. 16(4)
سنة النشر: 2017
مصطلحات موضوعية: Cancer Research, Univariate analysis, medicine.medical_specialty, Gastrointestinal bleeding, Abdominal pain, GiST, business.industry, Stomach, Hazard ratio, Cancer, medicine.disease, Gastroenterology, Metastasis, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, Internal medicine, Medicine, 030211 gastroenterology & hepatology, medicine.symptom, business
الوصف: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms in the gastrointestinal tract, exhibiting wide variability in their biological behavior. The aim of the present study was to investigate the clinicopathological characteristics and prognostic factors of GISTs in Chinese patients. All GIST cases (n=182) retrieved from the pathology database and the archived files in Shanghai Changzheng Hospital between January 2011 and December 2014 were reviewed. The clinical symptoms, preoperative investigations, treatments, pathological characteristics and follow-up data of these patients were reviewed, and univariate and multivariate survival analyses were performed. A total of 73.1% of the GISTs were located in the stomach, and the most common three symptoms included abdominal pain (30.2%), dyspepsia (23.1%) and gastrointestinal bleeding (21.4%). Univariate analysis revealed that larger tumor size (P
تدمد: 1792-1074
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d4ff08f8f986f4dbc770efcdd0b81a9Test
https://pubmed.ncbi.nlm.nih.gov/30250556Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....3d4ff08f8f986f4dbc770efcdd0b81a9
قاعدة البيانات: OpenAIRE