Active clinical trials for "Pancreatic Neoplasms"

This study will evaluate patients' experiences with having gynecologic or prostate medical oncologists and surgeons offer them genetic testing, and having genetic counselors return the test results to patients over the telephone. This is different from the usual approach to genetic testing, where gynecologic or prostate medical oncologists and surgeons refer their patients to a genetic counselor in order to have these tests done, and the genetic counselors return the test results to the patient in person or over the telephone. The investigators will only be evaluating this alternative way of providing genetic testing to ovarian or prostate cancer patients.

This multicenter, observational study will evaluate the effectiveness and safety of the NanoKnife System when used for the ablation of Stage 3 pancreatic adenocarcinoma (Stage 3 PC). Eligible patients will be recruited over a 36-month period and participating institutions will enroll and provide data on consecutive patients that meet inclusion and exclusion criteria. Each patient will be followed up for the duration of the study or until death. The study will include two (2) cohorts: patients who received standard of care (SOC) and received irreversible electroporation (IRE) [IRE cohort], and patients who were treated with SOC and did not receive IRE [SOC cohort].

The purpose of this study is to establish a registry of patients with pancreatic diseases. Patients included in the registry may include those with: pancreatic cancer, precancerous lesions of the pancreas, inflammatory lesions of the pancreas, cystic lesions of the pancreas, and patients at high-risk of pancreatic cancer such as those with a family history of pancreatic cancer or with a family history of a syndrome known to be associated with pancreatic cancer. Pancreatic cancer is the fourth leading cause of death from cancer in the United States. However, little is known about the development of pancreatic cancer and pancreatic diseases in individuals with the above conditions. Knowledge of how family history, environmental exposures, and inflammatory lesion of the pancreas contribute to the development of pancreatic cancer and pancreatic diseases is essential. You may qualify to take part in this research study because you have inflammation in the pancreas, a pancreatic cyst, pre-cancerous lesions of the pancreas, pancreatic cancer, a family history of pancreatic cancer, or a family history of a syndrome known to be associated with pancreatic cancer. We will also be collecting a blood sample from all participants for DNA isolation. Sometimes we are born with genes or DNA that give us an increased or decreased chance of developing an illness later in life. Genetic material will be isolated from your blood for further study. You may also choose to provide additional blood samples for serum and plasma extraction. Serum and plasma are components of the blood which can be used to measure indicators of disease in the blood, called biomarkers,for pancreatic diseases. Clinical data and biological specimens contained in this study may be used for a wide variety of future related studies to the cause, diagnosis, outcome and treatment of pancreatic cancer. Funds for conducting this research are provided by Mount Sinai.

ARGONAUT is a longitudinal, prospective, observational study that will enroll up to 5,000 advanced-stage cancer patients of diverse racial backgrounds to collect data used to develop precision microbiome medicines and for the identification of clinically actionable cancer-specific biomarkers to guide therapeutic decisions. Four types of solid tumor cancers will be profiled including non-small cell lung cancer (NSCLC), triple negative breast cancer (TNBC), colorectal cancer (CRC) and pancreatic cancer. Healthy control subjects without a cancer diagnosis will also be studied, comprised of individuals at high risk for CRC and healthy individuals at low risk for CRC. Risk assessment will be based on family history or past neoplastic findings during CRC screening. Data collected from this study will be used to develop the most effective new therapies, via microbiome optimization, all to the benefit of patients and the physicians treating them. Stool and blood samples will be collected longitudinally and analyzed to determine the impact of gut microbiome composition and function on the immune system and efficacy of the treatment. Currently enrolling the CRC, high risk, and low risk cohorts. Subjects who meet the entry criteria will provide up to 5 samples each of blood and stool over a 2-year period. Approximately 10%-20% of the subjects will provide colon tissue samples, either from research biopsies during Standard of Care (SOC) screening colonoscopy or retained surgical tissue from colectomy. Electronic health records will be obtained at various times for up to 8 years, to collect tumor imaging results and any other updated medical data, with no additional samples collected. In select cases, stool and blood samples will be collected beyond 2 years.

Aberrant miRNA production has been linked to a wide range of human cancers and shown to play important roles in their genesis and growth. These miRNA can be detected in the blood and tumors of patients with cancer. The investigators hypothesize that the detection of certain miRNAs present in the blood/serum of patients with pancreatic cancer may be important to the early diagnosis of the disease. Furthermore, the investigators hypothesize that miRNA detection in PC patients will yield prognostic information and help predict the response to treatment.

Objective: To collect information on how often a solid tumor cancer might lose the Human Leukocyte Antigen (HLA) by next generation sequencing and perform apheresis to collect and store an eligible participant's own T cells for future use to make CAR T-Cell therapy for their disease treatment. Design: This is a non-interventional, observational study to evaluate participants with solid tumors with a high risk of relapse for incurable disease. No interventional therapy will be administered on this study. Some of the information regarding the participant's tumor analysis may be beneficial to management of their disease. Participants that meet all criteria may be enrolled and leukapheresed (blood cells collected). The participant's cells will be processed and stored for potential manufacture of CAR T-cell therapy upon relapse of their cancer.

The past 15 years, using National Health Insurance Service (NHIS) database and K-PaC registry, and to analyze the cost and cost-effectiveness along with the change in survival rate after the emergence of the aforementioned regimens, which is very important for policy decisions such as reimbursement of second-line treatment.

To collect and characterise the incidence of adverse events related to the safety specifications of the maintenance treatment after platinum-based chemotherapy in patients with BRCA mutated pancreatic cancer under the actual post-marketing use of LYNPAZA.

Autoimmune pancreatitis (AIP) is a special type of chronic pancreatitis mediated by autoimmunity. The classic manifestation of AIP is diffuse pancreatic enlargement, some of which are characterized by focal enlargement. Clinically, it is divided into diffuse AIP (DAIP) and focal AIP (FAIP) according to morphology. FAIP can be clinically manifested as obstructive jaundice, peripancreatic lymphadenopathy and vascular involvement, which may mimic pancreatic cancer (PC). CT/MRI is the important imaging tool for diagnosing pancreatic diseases. However, due to the overlap of the imaging features of FAIP and PC, it is challenging to differentiate the two by CT/MRI. Endoscopic ultrasound (EUS) can clearly display the pancreatic parenchyma and pancreatic duct system and has become a routine modality for the evaluation of pancreatic diseases. The aim of this study is to construct a diagnosis model for distinguishing between FAIP and PC by comparing the EUS characteristics of the two, and further validate its diagnostic efficacy.

The primary objective of this study, DELFI-L101, is to train and test classifiers for lung cancer detection using the DELFI assay and other biomarker and clinical features.