View clinical trials related to Gastric Cancer.
Filter by:To facilitate the early gastric cancer diagnosis, an assay based on assessing large-scale methylation and fragmentation profiles of the plasma cell free (cfDNA) will be developed and validated.
Gastric cancer has a very poor prognosis. The disease is often diagnosed at a late stage, when curative treatment options are limited or ineffective. There is a condition that predisposes to gastric cancer, known in medical terms as Gastric intestinal metaplasia (GIM). This pre-cancerous condition can be diagnosed with an endoscopic camera test, but it often very subtle and can be missed at routine endoscopy. There is evidence that about 7% of gastric cancers are missed at previous endoscopy. The Cytosponge-trefoil factor 3 (TFF-3) is a pill on a string combined to a molecular biomarker which could help early diagnosis of gastric cancer and GIM. Cytosponge-TFF3 has been showed in previous research to be useful to diagnose Barrett's oesophagus, a condition of the food pipe similar to GIM. The aim of this study is to investigate the utility of the Cytosponge in combination with molecular biomakers to diagnose GIM
Patients with gastric or colon cancer with peritoneal carcinomatosis will receive a biopsy of the tumor during their primary curative surgery. The operation is performed according to standard and includes resection of the primary tumor and any metastases and followed by HIPEC (Intraperitoneal hyperthermic chemoperfusion) according to the respective hospital standard. Organoid cultures from the biopsies are established in the research laboratory. Various chemotherapeutic agents are tested on these tumor organoids in the laboratory and the tumor organoids are analyzed in detail with regard to genetic alterations in order to find alterations that can be addressed, if necessary, by means of targeted drugs against peritoneal carcinomatosis.
The investigators hope that through the analysis and research to find determine whether lncRNA-GC1 could serve as a non-invasive biomarker for monitoring the neo-adjuvant chemotherapy response for personalized medicine for gastric cancer.
This study will validate a machine learning model for predicting anastomotic leakage of esophagogastrostomy and esophagojejunostomy.
Peritoneum is among the most common sites of metastases in gastric cancer. Systemic chemotherapy is the current standard for peritoneal carcinomatosis (PC), although, the treatment results remain extremely poor. Pressurized intraperitoneal aerosol chemotherapy (PIPAC) is a modern treatment modality for PC, that 1) optimize the drug distribution by applying an aerosol rather than a liquid solution; and 2) apply increased intraperitoneal hydrostatic pressure to increase drug penetration to the target. Despite some encouraging preliminary results for PIPAC efficacy, it is still an investigational treatment. Furthermore, only very limited data exist for bidirectional treatment, which includes a combination of systemic chemotherapy and PIPAC. Thus, this study will investigate the feasibility of PIPAC and systemic chemotherapy combination for gastric cancer patients with peritoneal metastases.
Some people with cancer suffer from muscle wasting, lose weight and feel tired. This process, termed cachexia, is a significant problem and can lead to a reduction in both quality and quantity of life. Cachexia is caused by interactions between the tumour and the patient. Historically, it was considered to be a purely end-stage phenomenon of advanced cancer, however, it is now known that early signs of cachexia can even influence the outcomes of patients with potentially curative pathology, including those planned for a surgical resection. This study aims to collect information, from patients who are at risk of cachexia, about body composition, physical activity, quality of life and the body's immune response to cancer. Previously these measures have been most frequently studied in isolation, or at one single time-point, and are therefore likely to give an incomplete picture. A more holistic characterisation of surgical patients at risk of cancer cachexia, across their treatments, is currently lacking. Participants with cancer will be recruited to the study from surgical services in the United Kingdom (UK). A small number of 'control' patients without cancer, who are undergoing surgery for a benign condition, will also be recruited for comparison. Those recruited will have their height and weight measured, answer questionnaires about quality of life, undergo assessment of their physical function and levels of activity, have blood taken to analyse markers of inflammation and have their body composition measured by a variety of methods. A subgroup of patients will also undergo an additional magnetic resonance imaging (MRI) scan of their abdomen and thighs. At the time of their operation, participants will also have small biopsies of muscle, fat, tumour and urine taken for biochemical analysis. Patients with cancer, will be asked to return for three follow up appointments during the year after their operation where these assessments will be repeated.
Prospective, multi-center, open label, non-randomized clinical trial to assess efficacy of [18F]FAPI-74 to detect FAP expressing cells in patients diagnosed with gastrointestinal cancers, including hepatocellular carcinoma, cholangiocarcinoma, gastric, pancreatic and colorectal cancer. The [18F]FAPI-74 PET scan will be acquired in patients with proven GI cancers after initial staging using institutional standard methods. The PET scan results will be compared to FAP immunohistochemistry (as the primary objective) and histopathology (as the secondary objective) of the biopsied or resected tissues.
The human gut microbiome has been associated with many health factors but variability between studies limits the exploration of effects between them. This study aims to systematically characterize the gut microbiota of various critical chronic diseases, compare the similarities and differences of the microbiome signatures linked to different regions and diseases, and further investigate their impacts on microbiota-based diagnostic models.
With existing evidence showing the difference in miRNA expression levels between non-cancer and cancer groups, the investigators assume that levels of DNA methylation, RNA expression as well as protein concentration will also be dysregulated during disease progression. Combining the power of multi-omic cancer biomarkers, the investigators hypothesize that the sensitivity and specificity of MiRXES MCST can be significantly improved compared to existing multi-cancer diagnostic tests. In this study, the investigators propose to develop and validate blood-based, multi-cancer screening tests through a multi-omics approach.