Active clinical trials for "Pancreatic Neoplasms"

The specific aims of this project are to create a registry, as well as a biospecimen bank for individuals with pancreatic disease (e.g. pancreatic adenocarcinoma, pancreatitis, intraductal papillary mucinous neoplasm (IPMN) mucinous cystic neoplasm (MCN), and pancreatic intraepithelial neoplasia (PanIN) or have been determined to be at high-risk for pancreatic cancer. Biospecimen can be defined as blood, urine, tissue, stool, or saliva samples. Therefore, no hypothesis is to be tested. The personal data derived from the registry, correlated with biological information derived from the biospecimens will allow for future investigative studies of pancreatic cancer etiology and tumor biology. The long-term goals of the study are to advance the knowledge of the etiology and epidemiology of pancreatic cancer. It is anticipated that the knowledge derived will ultimately lead to improvements in the diagnosis, prevention, detection,and treatment of pancreatic cancer.

The purpose of this study is to enable non-invasive early detection of pancreatic cancer in high-risk populations through the establishment of a machine learning model using plasma cell-free DNA fragmentomics. Plasma cell-free DNA from early stage pancreatic cancer patients and healthy individuals will be subjected to whole-genome sequencing. Features, such as cell-free DNA fragmentation, copy number variations and the status of KRAS gene mutation, will be assessed to generate this model.

ExoLuminate is a nationally-enrolling registry study designed for earlier detection of cancer in those patients that are at an elevated risk or clinically-suspicious for pancreatic ductal adenocarcinoma (PDAC). Those with elevated risk for PDAC can include individuals with intraductal papillary mucinous neoplasms, a family history of pancreatic cancer, germline mutations in genes known to be associated with cancer, a personal or family history of pancreatitis, or new onset diabetes after age 50. The goal of the study is to compare the performance of ExoVerita™ assay in early detection of PDAC to current standard-of-care methods of surveillance.

The investigators hypothesize that abnormalities in thromboelastography (TEG) parameters in patients with liver, pancreas, biliary, esophageal, colorectal, and lung adenocarcinoma can serve as biomarkers for oncologic disease burden, cancer recurrence and overall survival as well as thrombotic and hemorrhagic post-operative complications. The investigators further hypothesize that there is histologic pathology correlates to pre-operative TEG abnormalities, and that it identifies patients with virulent tumor biology.

This study collects blood and tissue samples from patients with cancer and without cancer to evaluate tests for early cancer detection. Collecting and storing samples of blood and tissue from patients with and without cancer to study in the laboratory may help researchers develop tests for the early detection of cancers.

This is a prospective cohort study. The investigators enroll subjects with pancreatic ductal adenocarcinoma (PDAC), individuals at high risk for PDAC, patients with other pancreatic diseases, patients with CA19-9 elevation and controls without pancreatic disease. This study aims to establish a diagnostic prediction model by using elastase 1, common clinical serological examinations, and imaging examinations including endoscopic ultrasonography (EUS), and to explore the diagnostic ability of the model in the high-risk population of PDAC. Besides, the investigators search for new biomarkers by multi-omics studies of serum and pancreatic tissues to further improve the diagnostic performance of this model. In conclusion, this study seeks a robust diagnostic prediction model to diagnose PDAC, especially early resectable PDAC.

This research is being done to learn more about pancreatic cysts. The tests that are currently available are imperfect at determining exactly what type of pancreatic cyst a person has, which cysts contain cancer, or what the risk is of developing cancer in the future. The aim of this study is to use a combination of clinical, imaging, cyst fluid analysis, and molecular markers to try to help develop better tools to answer these questions.

This data base has been set in order to gather medical and surgical information from patients who have undergone surgery for pancreatic cancer, at Institut Paoli Calmettes or Assistance Publique des Hôpitaux de Marseille, France.

To assess the diagnostic accuracy of Shear Wave elastography (SWE) for the diagnosis of pancreatic adenocarcinoma.

The investigators create organoid from the pancreatic cancer tissue obtained via EUS-FNA and EUS-FNB within the pancreatic cancer diagnostic process. And also the investigators create organoid from the pancreatic cancer tissue obtained after surgery as part of the pancreatic cancer treatment process. Check for the reactivity to anti-cancer drugs through cell viability assay after treating with various anti-cancer drugs, such as anti-cancer drugs used as adjuvant chemotherapy for pancreatic cancer to the organoid. Also, perform genomic analysis on each organoid, and then check if there are any unique genomic mutations for each organoid. By recognizing the relationship between the unique genomic mutations and reactivity to the anti-cancer drug within pancreatic cancer patients eligible for surgery, the investigators aim to strategize appropriate adjuvant chemotherapy after surgery, thus developing a platform to predict the outcomes of each patient.