gastric-cancer Clinical Trials
A listing of gastric-cancer medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 520 clinical trials
A Phase III Study Comparing Total and Partial Omentectomy for Patients With Advanced Gastric Cancer
This is a phase III, multicenter, prospective, randomized, controlled clinical trial to evaluate the impact of omentectomy for advanced gastric cancer on patient survival.
Clinical Evaluation of GRAPE Model for Gastric Cancer Screening
A Prospective Study Evaluating the Performance of the GRAPE Model in Gastric Cancer Screening and Its Detection Rates Across Different Disease Stages
Study to Evaluate the Efficacy and Safety of Camrelizumab and Apatinib in Patients With GC/GEJC
This is a study for participants with advanced gastric or gastroesophageal junction adenocarcinoma who have had tumor progression after first-line platinum-contained therapy. The primary study hypotheses are that camrelizumab (SHR-1210) combined with apatinib prolongs overall survival (OS) for participants with tumors that show positive programmed cell death ligand 1 (PD-L1) …
Gastric Cancer Prevention for Indigenous Peoples
The incidence of gastric cancer in local indigenous peoples is higher than the non-Indigenous counterpart in Taiwan. How to design an effective prevention strategy for gastric cancer is of importance. The present study aimed to identify the causes that may account for the health inequalities, allowing generation of a plan …
Prospective Gastric Cancer Screening With Fecal Multi-target DNA Analysis
This is a prospective study designed to evaluate the efficacy of a multi-target fecal DNA test for the early detection of gastric cancer. The test combines Helicobacter pylori gene detection with analysis of fecal methylated DNA markers. The primary objective is to assess whether each method, individually or in combination, …
Dynamic Circulating Tumor DNA Monitoring to Guide Systemic Therapy in Gastric Cancer
This study aims to evaluate the clinical value of circulating tumor DNA (ctDNA) as a minimally invasive biomarker for monitoring treatment response and guiding systemic therapy in patients with gastric or gastroesophageal junction adenocarcinoma. Gastric cancer is often diagnosed at an advanced stage and shows substantial biological heterogeneity. Current treatment …
A Real-world Study of Camrelizumab Alone or in Combination With Apatinib/Chemotherapy for Advanced Gastric Cancer
The purpose of this observational study is to evaluate the safety and efficacy of camrelizumab and apatinib in patients with advanced gastric cancer under real-life conditions, particularly in various subgroups of gastric cancer patients, with a view to providing information about the treatment modalities and efficacy of the treatment in …
A Clinical Study of Docetaxel for Injection (Albumin-bound) in Patients With Gastric Cancer
This trial is a multicenter, randomized, controlled phase Ш clinical study of comparison of Docetaxel for Injection (Albumin-bound) and Taxotere in locally advanced or metastatic gastric adenocarcinoma or gastroesophageal junction adenocarcinoma with previous first-line treatment failure.
AI-assisted Decision-making of Reoperation for Postoperative Bleeding of Gastric Cancer
The goal of this observational study is to develop and validate a deep learning model to dynamically assess postoperative bleeding risk and assist in decision-making for re-operation in adult patients (≥18 years) diagnosed with primary gastric cancer undergoing radical gastrectomy. The main question\[s\] it aims to answer \[is/are\]: Can an …
CT Imaging and Clinical Features to Predict Outcomes in Patients With Gastric Cancer
The goal of this prospective observational study is to evaluate how well a previously developed prediction model can estimate outcomes in adults with gastric cancer. The model combines information from computed tomography (CT) images obtained before treatment with routine clinical information. The main questions are how well the model predicts …
