View clinical trials related to Stomach Neoplasms.
Filter by:Extensive research employing diverse omics methodologies has unveiled a varied landscape of gastric cancer (GC). Recent progress in next-generation sequencing and other genomic technologies has facilitated a more intricate exploration of GC at the molecular level. This study aimed to identify the most effective drug therapeutics for patients with the mesenchymal subtype of gastric cancer.Based on RNA-seq transcriptome, 234 patients were divided into four molecular subtypes: mesenchymal, immunogenic, metabolic, and classic.Our analysis has revealed that, for neoadjuvant therapy in advanced gastric cancer (AGC), the mesenchymal subtype stands out as the ideal patient population benefiting from Apatinib, without a concurrent increase in postoperative complications.
Background: Gastric cancer patients receiving neoadjuvant chemotherapy (NACT) are more vulnerable to perioperative stress. Enhanced recovery after surgery (ERAS) is widely used in surgical patients aiming at reducing stress responses. However, whether this approach is safe and feasible for gastric cancer patients received minimally invasive radical gastrectomy after NACT remained determined. So, the objective of this study is to investigate the effects of ERAS for this special group of gastric cancer patients. Materials and Methods: The data of gastric cancer patients who underwent minimally invasive radical gastrectomy after NACT were collected in this retrospective cohort study. Patients were divided into an ERAS group and a conventional group based on whether they received perioperative ERAS management. Propensity score matching was conducted to eliminate bias. Pre- and postoperative inflammatory and nutritional marker levels, postoperative complications, recovery indices and 3-year OS and RFS were observed.
The Systemic Oxidative Stress Score (SOSS) , a comprehensive score reflecting the oxidative stress conditions in the microenvironment, can independently and effectively predict tumor burden and long-term prognosis in GC patients. Nomograms based on SOSS provide a potential and promising model for risk stratification and guiding the implementation of treatment decisions.
The purpose of this clinical trial is to prove that the prediction capability of 'WAYMED endo' is superior to that of the endoscopists in classifying EGC based on the depth of invasion categories in gastro-endoscopic images. The computer-aided detection·diagnosis software is an Artificial Intelligence (AI) software used to assist medical specialists in diagnostic decisions by automatically classifying EGC based on the depth of invasion categories in gastro-endoscopic images and displaying the results and possibilities on the User Interface (UI).
To explore the effects of gastric xanthoma on gastric cancer and its precancerous lesions, so as to better prevent the occurrence and development of gastric cancer.
Objective: To define complete mesogastric excision and compare our short term results for the first time in a different population. Study design:Randomised-controlled study Place and duration of the study: Gastroenterological Surgery Clinic,Health Sciences University,Basaksehir City Hospital,Istanbul,Turkey,from April to December 2023. Methodology: We compared short term results of open total gastrectomy+ mesogastrectomy with standard total gastrectomy + D2 lymph node dissection at a tertiary center in terms of peroperative results, histopathological findings and postoperative short- term outcomes with review of the literature. Conclusion: Our aim is to show that mesogastric excision is safe and has advantages over conventional D2 gastrectomy in means of not only peroperative and short-term outcomes, but also disease free survival.Our work is the first study from a different population of the world and our initial results can contribute to the literature for universalization.
In this study, elderly patients with gastric cancer who underwent radical gastrectomy in Union Hospital Affiliated to Fujian Medical University from 2012 to 2018 were included as a derived cohort, and the training set and internal validation set were randomly divided by 4:1. Machine learning strategies of random forest, decision tree and support vector machine are used to construct survival prediction model. Each model was tested in an internal validation set and an external validation set consisting of patients from two other large medical centers.
Investigate the effectiveness of cold and hot compress interventions in reducing peripheral neuropathy induced by Oxaliplatin chemotherapy in colorectal cancer and gastric cancer patients. The primary outcome measures include quality of life, and secondary outcome measures encompass the severity of peripheral neuropathy, manual dexterity assessed through finger strength testing, and the effects on microcirculation blood flow in the hands and feet
The investigators plan to analyze the data of patients with gastric cancer (GC) consecutively hospitalized in Ruijin Hospital, a large tertiary center in China, comprehensively describe the characteristics of GC patients ≥65 years, and assesse their in-hospital outcomes regarding duration, fee, and death. Factors associated with the in-hospital outcomes will be further comprehensively explored.
The purpose of the CAPABLE study is to compare health-related quality of life in renal cell carcinoma patients who use or do not use a mobile-based application to monitor adverse events for cancer treatment at home. As secondary objectives, the study investigates the usability of the system and its generalizability to other cancer types