About this trial
The investigators recently engineered a novel biomarker discovery approach that is non-destructive and fully compatible with OMICS profiling as well as routine clinical procedures (5). The latter approach - termed EXPEL - mines the interstitial tissue fluid that is the richest source of soluble, undiluted and uncontaminated biomarkers. The method notably gives access to proteins, metabolites, RNA, DNA and exosomes, thus enabling holistic biomarker discovery. Owing to its non-destructive nature, EXPEL provides for the first time both clinicians and researchers with the opportunity to analyze identical material.
The investigators hypothesize that the conservation liquid used to collect cells and biopsy after endoscopic ultrasound for pancreatic biopsy could contain the tissue secretome and permit a comprehensive OMICS analysis of PDAC (all stages confounded) by using a "modified EXPEL" procedure. These are ideal conditions for EXPEL approach that will additionally to finding novel biomarkers also shed light on complex network of cancer cell-stroma interactions.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patient with pancreatic mass and suspicion of pancreatic ductal adenocarcinoma requiring endoscopic ultrasound with fine needle biopsy or surgery
Patient ≥18 years old
Patient naïve of any treatment of Pancreatic cancer
Disqualifiers
Patient who reject the study protocol
Trial population
Patient with pancreatic mass and suspicion of pancreatic ductal adenocarcinoma requiring endoscopic ultrasound with fine needle biopsy or surgery
Trial design
Cohort
Retrospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Predictive value of each protein contained in Cytolyt® for the positive diagnosis of pancreatic ductal adenocarcinoma
Correlation with positive diagnosis of pancreatic ductal adenocarcinoma and proteins quantity in Cytolyt® samples using ROC curves (sensibility/specificity: Area Under the Curve \> 0.85) and binary logistic regression method with controlling for the effects of the co-variates (such as age, disease cTNM stage, and treatment details).
Secondary outcomes
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Disease-free survival (percentage of patients without recurrence) at 1 year
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Overall survival at 1 year (percentage of patients alive)
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Disease-free survival (DFS) (time from diagnosis to time of first radiological evidence of local, regional, or distant relapse, or death due to any cause)
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Overall survival (OS) (time from diagnosis until death, regardless of cause)
Sponsors and contacts
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University Hospital, Montpellier
Lead sponsor
IRCM U1194 INSERM, Tumor Microenvironment and Resistance to Treatment Lab
Collaborator
IRCM U1194 INSERM, Cancer Bioinformatics and Systems Biology's team
Collaborator