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Active clinical trials for "Pancreatic Neoplasms"

Results 711-720 of 2501

Pancreatic Cancer Recurrence in the Netherlands

Pancreatic Ductal AdenocarcinomaPancreatic Cancer2 more

The aim of this nationwide, observational cohort study is to evaluate current surveillance strategies after primary resection of pancreatic ductal adenocarcinoma (PDAC) in the Netherlands, with regard to the detection, treatment and survival of PDAC recurrence.

Recruiting2 enrollment criteria

PRedictiOn Algorithms for the DeTECTion of Early Stage Pancreatic Cancer

Pancreatic CancerPancreatic Ductal Adenocarcinoma (PDAC)

Conduct a prospective study to assess the accuracy of a pancreatic cancer risk prediction model.

Recruiting14 enrollment criteria

Pancreatic Cancer Genetics

Pancreatic Cancer

The aim of this study is to determine the frequency of the three most common BReast CAncer gene 1 (BRCA1) and BReast CAncer gene 2 (BRCA2) genetic mutations that are commonly found in Ashkenazi Jewish patients with pancreatic cancer. Testing for BRCA1 and BRCA2 mutations in relatives of hereditary pancreatic cancer patients may have a significant impact; allowing for early screening, treatment, and resection of pre-malignant tissue or malignant lesions.

Recruiting5 enrollment criteria

A Preoperative Model to Predict the Lymphovascular Invasion in Pancreatic Ductal Adenocarcinoma...

Predictive Cancer ModelPancreas Cancer

Importance: Lymphovascular invasion (LVI) is a poor prognosis pathologic feature in pancreatic ductal adenocarcinoma (PDAC) patients. Neoadjuvant therapy may bring survival benefits to these patients. Objective: To construct a preoperative model which could predict LVI in PDAC patients and further validate it in other cohorts. Design, Setting, and Participants: Patients from 3 three tertiary hospitals were included in this study. Univariate and multivariate Logistic regression analyses were conducted to define independent prediction factors of LVI. A nomogram was constructed based on the result of multivariate analysis.The predictive value of the model was assessed using receiver operating characteristic (ROC) curves and the maximum Youden index of the ROC curve was defined as the cut-off point. The calibration plot was utilized to assess the concordance of the model. The decision curve analyses (DCA) were applied to estimate the clinical benefit of using this model to predict LVI.

Recruiting2 enrollment criteria

Collection of Circulating Biomarkers in Pancreatic Cancer

Pancreas Cancer

This protocol will involve collection of blood samples from patients with a diagnosis of pancreatic adenocarcinoma for evaluation of circulating biomarkers.

Recruiting5 enrollment criteria

INTER-Regional COHORTE of Long Term Pancreatic Cancer Survivors

Pancreas CancerPancreatic Adenocarcinoma

The study is particularly innovative as it will accurately analyze the microscopic characteristics of the stroma, tumor budding and mucin expression in adenocarcinomas of the pancreas, using a comparative approach of long-survivor/short-survival patients.

Recruiting11 enrollment criteria

DNA Mutation Detection in Circulating Tumor DNA and Tissue by mmADPS for Pancreatic Cancer

Pancreatic Cancer

Based on the cell free nucleic acid analysis information of blood samples and genetic mutation profile of EUS-FNB tissue from pancreatic cancer, the concordance between them is evaluated. And based on this information, biomarkers for diagnosis, treatment, and prognosis of pancreatic cancer are explored.

Recruiting6 enrollment criteria

iDentification and vAlidation Model of Liquid biopsY Based cfDNA Methylation and pRotEin biomArKers...

Cancer

DAYBREAK is a prospective, multi-omics, observational study aimed at early detecting pancreatic cancer by combined assays for biomarkers of cfDNA methylation, serum protein markers, blood miRNA markers and others, in which of 450 participants will be enrolled. The development and validation of the model will be conducted in participants with early stage cancers and benign disease through a two-stage approach. The sensitivity and specificity of the model in pancreatic cancer early detection will be evaluated.

Recruiting20 enrollment criteria

Multi-omics Characterization of Pancreatic Neuroendocrine Tumors and Carcinomas

Cancer of Pancreas

In this work, the investigators count through the integrated multi-omics analysis to identify different tumor subgroups in pancreatic neuroendocrine tumors and carcinomas regardless of their grade and stage. To achieve this, they will resort to the use of next-generation sequencing approaches (RNAseq, then use of MCP Counter for the absolute quantification of the eight populations of immune cells in the tumor microenvironment), alterations in epigenetics with study of the methylome by MeDIP, ChIPseq, telomere (ALT) study, as well as correlation with peripheral blood neutrophil to lymphocyte ratio and immunohistochemistry data such as Ki67, p53, Rb, DAXX, ATRX, PDL1, immune cell labeling. This will be done on frozen or paraffin material. This work will provide a more complete biological picture of pancreatic neuroendocrine tumors and carcinomas.

Recruiting12 enrollment criteria

Prognostic Role of Circulating Tumor DNA in Resectable Pancreatic Cancer

Pancreas Cancer

This is a non-randomized, multicenter, non-interventional study in patients with resectable PDAC. The patients are allocated to two observation groups according preoperative presence of ctDNA (Group A) or absence of detectable ctDNA (Group B) as determined in a liquid biopsy. After successful surgery of their pancreatic tumor and completion of local histological evaluation, tissue samples will be analyzed with regard to their mutational status with. Within 14 days before start of adjuvant tumor therapy another liquid biopsy will be taken to reassess the level of ctDNA after surgery. Patients will be monitored for disease recurrence according to harmonized, institutional standards using clinical, laboratory and (cross-sectional) imaging modalities. Accordingly, patients will be assessed every three months in the first eighteen months after surgery and every six months thereafter or based on clinical need for 36 months after the date of surgery Follow up will be documented until occurrence of relapse (or death if death occurs earlier than relapse/progression) for a maximum of 36 months after the date of surgery.

Recruiting11 enrollment criteria
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