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
First-Line and Neoadjuvant Immunotherapy for Gastric Cancer
This prospective observational study aims to evaluate the efficacy and safety of immune checkpoint inhibitors as first-line and neoadjuvant therapy for advanced gastric cancer, while also investigating relevant biomarkers to better understand their role in immunotherapy outcomes
Identification of Therapeutic Targets in Metastatic Gastric Cancer
This is a pilot study aiming at identifying novel therapeutic molecular targets in patients with gastric cancer with lymph nodes or distant metastasis. All patients who are diagnosed with gastric cancer with metastases in the Prince of Wales Hospital will be screened for eligibility.
Single-port Robotic Radical Gastrectomy for Gastric Cancer
This study is a single-center, phase 2a exploratory clinical study based on IDEAL framework. The intraoperative and postoperative complications were analyzed to evaluate the safety, feasibility and clinical efficacy of single-port robot-assisted gastric tumor resection.
Nab-Paclitaxel PIPAC in Combination With Paclitaxel and Ramucirumab for the Treatment of Stomach Cancer With Peritoneal Metastases
This phase I trial tests the safety, side effects and best dose of nab-paclitaxel pressurized intraperitoneal aerosolized chemotherapy (PIPAC) in combination with second-line chemotherapy, paclitaxel and ramucirumab, and tests how well they work in treating stomach cancer that has spread from where it first started to the tissue that lines …
Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics
Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis …
Novel Humanized Ferritin-Based NIR Fluorescent Probe for Identifying Sentinel Lymph Node Metastasis in Early Gastric Cancer
With the widespread adoption of early cancer screening, the proportion of early gastric cancer (EGC) in China has been gradually increasing. The primary treatments for EGC are endoscopic and surgical interventions. For EGC invading the submucosal layer, the lymph node metastasis rate is approximately 20%. In clinical practice, subtotal gastrectomy …
Reconstruction With a Lawrence-Hunt Jejunal Pouch After Total Gastrectomy
The aim of the study is to establish the efficacy of jejunal pouch reconstruction in reducing dumping syndrome in patients undergoing total gastrectomy, ultimately enhancing postoperative quality of life and nutritional status.
Safety and Efficacy of SHR2554 Combined With Other Antitumor Therapies in Gastric or Gastro-oesophageal Junction Adenocarcinoma
This is a multicenter, phase 2, open label study to evaluate safety, tolerability and efficacy of SHR2554 combined with other anti-tumor treatments in patients with advanced or metastatic gastric or gastroesophageal junction adenocarcinoma.
Metabolomic and Lipidomic Analysis Predicts Immunotherapy-related Adverse Events in Gastric Cancer Patients
This study comprehensively examines metabolic and lipidomic dynamics in gastric cancer patients initiating PD-1/PD-L1 inhibitor therapy, employing a longitudinal design with pre- and post-treatment patients. The primary objectives include identifying irAE-associated metabolic and lipid biomarkers, developing predictive risk models, and evaluating the prognostic value of these molecular profiles. The findings …
AI Model for Early Gastric Cancer Diagnosis Using Endoscopic Imaging
Early gastric cancer (EGC) is often difficult to detect accurately during endoscopic examination due to subtle morphological features and variability among endoscopists. Artificial intelligence (AI) has shown promise in improving diagnostic performance; however, most existing models lack interpretability and rely on single-modality imaging. This study aims to develop and evaluate …
