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Epigenomic and Machine Learning Models to Predict Pancreatic Cancer — IMAGene  

Pancreatic Cancer Clinical Trial

Official title:
Development of a New Algorithm to Integrate Clinical, Omics, DNA Methylation Biomarkers and Epidemiological Data for Early Detection of Pancreatic Cancer in High-risk Individuals

Clinical Trial Summary

The goal of the multicentric and interdisciplinary IMAGene project is to pursue early diagnosis for Pancreatic Cancers in high-risk asymptomatic subject groups, by developing and validating a comprehensive cancer risk prediction algorithm (CRPA) as a clinical support tool to calculate a personalized risk profile. The study is a longitudinal, non-randomized exploratory clinical study. A total of 170 asymptomatic first-degree relatives of PC patients.

Clinical Trial Description

The study is a longitudinal, non-randomized exploratory clinical study. A total of 170 asymptomatic first-degree relatives of PC patients. The study population consists of 170 first (1st) degree healthy/asymptomatic relatives of patients with exocrine pancreatic cancer, where the patient satisfies one OR more of the following conditions: - was diagnosed with pancreatobiliary cancer <50 years of age; - was diagnosed with pancreatobiliary cancer >50 years of age AND personal history of any solid cancers. The CRPA will be assessed in 170 first degree relatives of PC patients, in whom the development of pancreatic cysts will be assessed by WB-MRI at baseline and at one year. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06334458
Study type Interventional
Source European Institute of Oncology
Contact
Status Active, not recruiting
Phase N/A
Start date February 3, 2023
Completion date December 31, 2024
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