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Pancreatic ductal adenocarcinoma (PDAC) remains among cancers with a very poor prognosis (1-year survival <20%). Endoscopic ultrasound with fine needle aspiration (EUS/FNA) is the common examination for all patients with suspicious pancreatic mass. A method was recently developed : it preserves the sanitary sample, named EXPEL, which allows standard pathology examination and OMICS analyzes from the "rinse" liquid. After EUS/FNA in clinical practice, the content of the needle is rinsed in CytoLyt® preservative solution. After cytofiltration, this liquid is systematically discarded.
Based on the EXPEL concept, we hypothesise that this all-patients inclusive approach ("Modified EXPEL" procedure) combined with the methodology to access proteomic and metabolomics information in these original samples will allow us to identify a series of clinically useful marker signatures that will ultimately be measurable, non-invasively, in the patient blood.
Clinical and pathological data will be prospectively collected to obtain 2 subgroups: PDAC and non-PDAC according to the final biopsy diagnosis. A combined quantitative analysis of the proteins and their peptides contained in CytoLyt® will be performed. ROC curves, AUC, sensitivity, specificity, positive predictive value and negative predictive value associated to biomarkers will be calculated to isolate combinations of diagnostic biomarkers. Candidate biomarkers will be validated by immunohistochemistry and multiple reaction monitoring. Prognostic biomarkers will be evaluated by generating 1-year overall survival curves and Cox regression.
The present research, modeled on current practice, employs novel and holistic approach - PANEXPEL methodology - to establish a new repertoire of biomarkers for pancreatic cancer. We intent to provide a comprehensive proteomic and metabolomics biomarker signature that will be measurable in the patient blood using common clinical methods. The potential for translation "from benchside to bedside" is especially high due to the involvement of clinical teams. We expect to propose a combined, robust protein/metabolite biomarker signature that can be rapidly tested in the clinics.
Necessary biological resources: Biological resources will include Cytolyt® and Blood Samples, accompanied by a signed Free and Informed Consent for each included patient.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Soluble Biomarkers dosage | Diagnostic Test |
|
| Measure | Description | Time Frame |
|---|---|---|
| Predictive value of each protein contained in Cytolyt® for the positive diagnosis of pancreatic ductal adenocarcinoma | 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). | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Disease-free survival | Disease-free survival (percentage of patients without recurrence) .Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis | One year |
| Disease-free survival |
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Inclusion Criteria:
Exclusion Criteria:
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Patient with pancreatic mass and suspicion of pancreatic ductal adenocarcinoma requiring endoscopic ultrasound with fine needle biopsy.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Régis SOUCHE, MD | Contact | +33467337069 | fr-souche@chu-montpellier.fr | |
| Eric ASSENAT, MDPhD | Contact | +33467330137 | e-assenat@chu-montpellier.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Uh Montpellier | Recruiting | Montpellier | Montpellier | 34280 | France |
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| ID | Term |
|---|---|
| D010190 | Pancreatic Neoplasms |
| ID | Term |
|---|---|
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004701 | Endocrine Gland Neoplasms |
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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) |
| One year |
| Overall survival | 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) | One year |
| Identification of prognostically significant biomarkers | Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis. Kaplan Meier analysis, logrank test and Cox's proportional hazards regression model to identify biomarkers that are prognostically significant (Hazard ratio (HR) and its 95% confidence interval (CI) | One year |
| D004066 |
| Digestive System Diseases |
| D010182 | Pancreatic Diseases |
| D004700 | Endocrine System Diseases |