View clinical trials related to Stomach Neoplasms.
Filter by:The goal of this clinical trial is to compare the effectiveness of enhanced follow-up with standard follow-up in postoperative patients with advanced gastric cancer who have undergone radical gastrectomy. The main questions it aims to answer are: Can enhanced follow-up alleviate symptom burden and improve quality of life? What is the impact of enhanced follow-up on overall survival rates at 3 and 5 years post-surgery? Participants will: Be randomly assigned to either the enhanced follow-up group or the standard follow-up group. Undergo comprehensive symptom, nutritional, and psychological assessments every 3 weeks (enhanced follow-up group). Receive routine postoperative follow-up including medical examinations and treatments as needed, with additional assessments only when necessary (standard follow-up group). Researchers will compare the enhanced follow-up group with the standard follow-up group to see if enhanced follow-up can improve quality of life and increase overall survival rates at 3 and 5 years post-surgery. Outcomes will be measured using the EORTC QLQ-C30 quality of life questionnaire and overall survival rates. This prospective, single-center, randomized controlled clinical trial will span 5 years from the approval by the institutional ethics committee and will include 158 patients.
This study aims to develop and validate a Nomogram (mCNS) model for predicting long-term survival in elderly patients following curative resection for advanced gastric cancer. The study is a retrospective multi-center analysis involving 924 gastric cancer patients treated at the Department of Gastrointestinal Surgery of the Affiliated Union Hospital of Fujian Medical University between 2009 and 2013, and 512 patients aged 65 and above who underwent gastric resection at the Affiliated Zhongshan Hospital of Dalian University between 2011 and 2018. An online prognostic tool is introduced to assist clinicians in predicting patient prognosis and customizing treatment and follow-up strategies.
Even after the wide introduction of chemo/radiotherapy in the treatment algorithm, adequate surgery remains the cornerstone of gastric cancer treatment with curative intent. A proper D2 lymphadenectomy is associated with improved cancer specific survival as confirmed in Western countries by fifteen-year follow-up results of Dutch and Italian randomized trials. In clinical practice, the total number of harvested lymph nodes is often considered as a surrogate marker for adequate D2 lymphadenectomy; nonetheless, the number of retrieved nodes does not necessarily correlate with residual nodes, which intuitively could represent a more reliable marker of surgical adequacy. The availability of an efficient tool for evaluating the absence of residual nodes in the operative field at the end of node dissection could better correlate with survival outcomes. The goal of this multicentric observational prospective study is to test the reliability of a new score (PhotoNodes Score) created to rate the quality of the lymphadenectomy performed during minimally invasive gastrectomy for gastric cancer. The score is assigned by assessing the absence of residual nodes at the end of node dissection on a set of laparoscopic/robotic high quality intraoperative images collected from each patient undergoing a minimally invasive gastrectomy with D2 node dissection. Ideally, this tool could be a new indicator of the quality of D2 dissection and could assume a prognostic role in the treatment of gastric cancer.
Main Objective: To study the maximum tolerated dose (MTD) and dose-dependent toxicity (DLT) of cord blood-derived CAR-NK cells (CB CAR-NK182) targeting Claudin18.2 in patients with advanced gastric cancer and advanced pancreatic cancer. Secondary Objective: To evaluate the efficacy of CB CAR-NK182 in patients with advanced gastric cancer and advanced pancreatic cancer: overall objective tumor response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), duration of response (DOR), etc. To evaluate the CAR-NK amplification and persistence of CB CAR-NK182 in the blood of patients with advanced gastric cancer and advanced pancreatic cancer;
Chemotherapy, immune checkpoint inhibitors, and anti-angiogenic targeted therapies have been explored in combination for neoadjuvant and conversion therapies. However, the efficacy of the novel anti-angiogenic agent fruquintinib in combination with immune checkpoint inhibitors and chemotherapy in the neoadjuvant and conversion treatment of locally advanced or metastatic gastric cancer has not been reported. This study aims to observe the efficacy and safety of fruquintinib combined with immune checkpoint inhibitors and chemotherapy in real-world settings.
This study aims to investigate the efficacy and safety of Sintilimab combined with FOLT versus Sintilimab combined with SOX in patients with locally advanced gastric cancer. The research design is intended to observe the comparison of conversion therapy effects, disease-free survival, R0 resection rate, and safety evaluation between the two groups.
This is a multicenter, randomized, open-label, phase 2 clinical study aiming to evaluate the feasibility and efficacy of sintilimab (PD-1 inhibitor) in combination of fruquintinib and chemotherapy (S-1 plus nab-paclitaxel) versus sintilimab and chemotherapy as conversion therapy in patients with stage IV gastric cancer in China.
The goal of this observational study is to establish clinical data and tissue repository in patients with gastric MALT lymphoma and controls. Participants will be asked to provide clinical information and various tissues (saliva, gastric mucosa, and feces).
The purpose of this study is to collect and evaluate real-world data to enhance understanding of the effectiveness, and treatment patterns of first-line nivolumab treatment in patients with unresectable advanced or metastatic gastric cancer/gastroesophageal junction cancer (GC/GEJC) in China
This study aims to develop a multimodal model combining radiomic and pathomic features to predict pathological complete response (pCR) in advanced gastric cancer patients undergoing neoadjuvant chemotherapy (NAC). The researchers intended to collected pre-intervention CT images and pathological slides from patients, extract radiomic and pathomic features, and build a prediction model using machine learning algorithms. The model will be validated using a separate cohort of patients. This research intend to build a radiomic-pathomic model that can outperform models based on either radiomic or pathomic features alone, aiming to improve the prediction of pCR in gastric cancer.