View clinical trials related to Stomach Neoplasms.
Filter by:This study aims to explore the value of indocyanine green (ICG) in laparoscopic distal gastrectomy with lymph node dissection for early gastric cancer.The patients with early gastric adenocarcinoma (cT1, N-/+, M0) will be studied.
A new surgical instrument is supposed to allow surgeon to do surgery with better performance. However, the learning period before getting used to the new instruments is necessary. The surgeon's stress to overcome the learning effect and the surgical outcome was rarely assessed. The comparative analysis of surgical outcome, surgeon's stress, and utilization of instruments for gastrectomy will be performed in prospective cohort study
This is a Phase 2, multi-cohort study to investigate safety, anti-tumor activity of the monoclonal antibody BGB A317 in combination with Anlotinib and standard chemotherapy as first-line treatment in Gastric, or Gastroesophageal Junction Carcinoma. The study includes a screening (up to 28 days), treatment (until disease progression, intolerable toxicity, or treatment withdrawal for another reason), safety follow-up (up to 30 days following last study drug treatment), and survival follow-up phase.
This study aims to development of a database through a web page for epidemiological and clinical research purposes that is accessible to members of the AGAMENON - SEOM group that guarantees a rigorous collection, exploitation and analysis of the data and information contained, increases the knowledge of esophageal and stomach cancer in order to optimize the management, treatment and evolution of patients, the possibility of comparing variables with those of other series or groups, and promotes the quality of scientific publications.
Based on the gastric cancer database established earlier, this project explored the PG standard suitable for Chinese people, and further explored the establishment of machine learning model to stratify gastric cancer risk in the population, guide the frequency of gastroscopy screening, and extract important gastric cancer risk factors from it.Establish electronic health records of gastric organs, track the development and outcome of gastric diseases through deep learning method, in order to predict the development and outcome of gastric diseases;Then, the simulation hypothesis deductive method is used to compare the outcomes that may be caused by different lifestyles with the help of deep learning model, so as to guide patients to develop a better lifestyle and explore the establishment of health management paths for gastric cancer patients and high-risk groups in China.
For prognosis evaluation, investigators enroll gastric cancer patients who underwent radical gastrectomy and collect the laboratory examination and clinicopathological characteristics. Then independent risk factors for overall survival will be analysed. For predicting efficacy evaluation, investigators also collect information of patients first diagnosed with metastases. Diagnostic efficacy is analysed by receiver operator characteristic curve method.
Estimating the prevalence of Helicobacter Pylori infection in newly diagnosed stomach cancers in the West-Indies will help to understand the epidemiology of this cancer, which is over-incident in the West Indies compared to France. In addition, the constitution of a biobank (tumor tissues, healthy tissues and serum) will allow to set up in a second time etiological studies to identify other risk factors in particular in connection with the exposure to environmental pollutants to adapt the prevention measures.
This study aims to pool the clinical experience of Spanish centers treating patients with 177Lu-DOTATATE to evaluate the efficacy, tolerance, and safety of the drug in routine clinical practice and to learn about the profiles of patients and tumors treated and the results in each type of patient and tumor.
This study is a phase II study, to evaluate the effectiveness and safety of Camrelizumab combined with apatinib for advanced gastric or esophagogastric adenocarcinoma progressed after immune checkpoint inhibitors.
This is a prospective, case-control study intended to develop and validate a blood-based multi-omics assay and computational model for early detection of gastric cancer. Approximately 450 subjects who receive esophageogastroscopy (EGD) will be enrolled and assigned to three arms including gastric cancer, precancerous lesion, and healthy control based on the diagnosis of EGD and histological results. Cell free DNA will be extracted from peripheral blood of all participants and assayed by next-generation sequencing for biomarkers including somatic mutation, methylation, and chromosome instability signals. In the first stage a multi-omics models will be developed for classification between malignancy group and control groups, and between precancerous group and healthy control. Sensitivity and specificity of the model will be evaluated in an independent validation group in the second stage.