View clinical trials related to Gastric Cancer.
Filter by:TROPION-PanTumor03 will investigate the safety, tolerability, and anti-tumour activity of Datopotamab Deruxtecan (Dato-DXd) as Monotherapy and in Combination with Anticancer Agents in Patients with Advanced/Metastatic Solid Tumours.
This is a phase I clinical trial to determine the maximum tolerated dose (MTD) of KK-LC-1 TCR-T cells for the treatment of metastatic cancers that express KK-LC-1. Participants will receive a conditioning regimen, KK-LC-1 TCR-T cells, and aldesleukin. The safety profile and clinical response to treatment will be determined.
This is an open label, multi-center, Phase 1 clinical trial to evaluate the safety and efficacy of autologous claudin18.2 chimeric antigen receptor T-cell therapy in advanced solid tumors with positive CLDN18.2 expression
A variety of in vivo experimental models have been established for the studies of human cancer using both cancer cell lines and patient-derived xenografts (PDXs). In order to meet the aspiration of precision medicine, the in vivo murine models have been widely adopted. However, common constraints such as high cost, long duration of experiments, and low engraftment efficiency remained to be resolved. The chick embryo chorioallantoic membrane (CAM) is an alternative model to overcome some of these limitations. The chick CAM is shown to be a robust model for both the inoculation of cell lines and grafting of patient tumors for drug therapy evaluations and target genes/pathways analysis. The start-up INOVOTION has developed a unique, highly sensitive and reproducible CAM assay to graft human cancer cells/tumors in the chicken egg environment. INOVOTION's technology was validated for over 55 human tumor cell lines, including carcinomas, gliomas and melanomas, as well as over 30 reference drugs currently on the market. At INOVOTION, the graft of human cancer cells on the chicken CAM is currently conducted manually. To scale-up, the process was recently automated. The automation performance was assessed on cancer cells lines. The objective of this study is to demonstrate that the automation of the INOVOTION process enables tumors' proliferation using patient samples (from tumor samples or circulating tumor cells) as grafting material.
The upper Gastrointestinal Endoscope Image Auxiliary Diagnostic Software developed by Wuhan ENDOANGEL Medical Technology Co., Ltd. is used for the identification of gastric cancer in endoscopic magnification mode in definitive images to assist in the diagnosis of upper gastrointestinal gastric cancer lesions. The aim of this study is to evaluate the safety and effectiveness of the software in clinical use.
Approximately 5% to 10% of gastric cancers have MSI-H/dMMR. According to the results of retrospective analysis of CLASSIC and MAGIC, MSI-H/dMMR was a good prognosis and potential negative predictor of adjuvant chemotherapy for resectable gastric cancer. GC patients with MSI-H/dMMR were relatively insensitive to chemotherapy. The prognosis of these patients receiving routine postoperative adjuvant chemotherapy was worse than that with surgery alone. However, these patients were sensitive to immunotherapy. MSI-H/dMMR is one of the most important biomarkers to predict the efficacy of immunotherapy for GC. In this study, patients with MSI-H locally advanced gastric adenocarcinoma after radical surgery with D2 dissection would be randomly treated with conventional adjuvant chemotherapy, PD-1 monoclonal antibody immunotherapy or follow-up observation. We intend to demonstrate that the prognosis of MSI-H GC patients after D2 radical gastrectomy receiving PD-1 monoclonal antibody immunotherapy would be better than that with standard postoperative adjuvant chemotherapy and follow-up observation.
Due to lacking of evidence on surveillance for gastric cancer (GC), this study aimed to determine the optimal postsurgical surveillance strategy for stage II/III GC patients and compare its cost-effectiveness with traditional surveillance strategies.
Neoadjuvant chemotherapy (NC) is an important treatment for advanced gastric cancer (AGC). However, tools that effectively predict the efficacy of NC before treatment are lacking. Computed tomography images before and after NC were used to construct a deep learning-based radiomics signature to predict the efficacy of NC, prognoses and postoperative adjuvant chemotherapy benefit.
The primary objective of this prospective observational study is to characterize the gut and oral microbiome as well as the whole blood transcriptome in gastrointestinal cancer patients and correlate these findings with cancer type, treatment efficacy and toxicity. Participants will be recruited from existing clinical sites only, no additional clinical sites are needed.
This is a study of navicixizumab monotherapy or in combination with paclitaxel or irinotecan in patients with advanced cancer. Patients will be enrolled into one of the following cancer cohorts: - Cohort A: CRC - Cohort B: Gastric and GEJ cancer - Cohort C: TNBC - Cohort D: Platinum-resistant/refractory epithelial ovarian, primary peritoneal, or fallopian tube cancer (ovarian cancer)