New Biomarkers in Pancreatic Cancer Using EXPEL Concept (PANEXPEL)

June 17, 2026 updated by: University Hospital, Montpellier

Discovery of New Biomarkers in Pancreatic Cancer Using Novel Nondestructive OMICS Methodology

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.

Study Overview

Status

Recruiting

Conditions

Detailed Description

Biomarkers that are readily detectable in fluid biopsies are of outmost importance for diagnosis and prediction of therapeutic response in all cancer patients. Pancreatic ductal adenocarcinoma (PDAC) is an example of a deadly malignancy that is diagnosed very late due to lack of sensitive and reliable markers [1]. The incidence and mortality of PDAC will double in the next 15 years, which is unprecedented among all cancer types [2]. Secondary cancer prevention through early diagnosis of PDAC will therefore be an essential preparedness asset for facing the immense healthcare burden.

Discovery of diagnostic biomarkers depends essentially on the availability of patient material ideally collected at different time points during the disease progression (e.g. early lesion, before treatment and after recurrence). Unfortunately, it is very difficult to access fresh biopsies from pre-malignant lesions for research purposes. These are needed in their entirety for histo-pathological evaluation and diagnosis. The ability to use liquid biopsies (e.g. serum, urine, saliva) brought the promise to circumvent this problem, opening access to many different biomolecules such as circulating DNA and proteins. However, upon their release from the tumor, these molecules are diluted up to several billion-fold in blood with molecular species originating from healthy tissues [3-4]. This hampers de novo discovery of biomarkers for diagnosing and understanding the disease.

To circumvent these limitations, 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, while having virtually no disadvantage in their respective tasks. The investigators have recently shown the ability of our methodology to find new markers in the context of precious human colorectal cancer samples. Thus, the investigators are convinced that EXPEL can be successfully applied to pancreatic cancer. In addition, knowing the important proportion of stroma in PDAC (usually 2/3 of tumor mass), the secretome of pancreatic cancer is expected to be much richer in soluble "communication factors" exchanged between cancer cells and host tissue.

In clinical practice, most of patients undergo endoscopic ultrasound with fine needle aspiration/biopsy of the pancreatic mass to confirm the diagnosis of PDAC. The needle is rinsed in a conservation liquid Cytolyt® (Methanol 30% et water 50%) and sent to the pathologists. Microbiopsy are fixed in paraffin then analyzed and liquid is cytofiltrated to keep potential tumor cells. The remnant Cytolyt® liquid is systematically trashed.

The present study is based on the hypothesis that this liquid, previously in contact with tumoral tissue, 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.

For this purpose, the investigators aim to perform proteomic analysis on the conservation liquid (Cytolyt) in patients who underwent endoscopic ultrasound with fine needle aspiration/biopsy for suspicious pancreatic mass at the CHU de Montpellier between Jan 2018 and Jan 2019.

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Montpellier
      • Montpellier, Montpellier, France, 34295

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patient with pancreatic mass and suspicion of pancreatic ductal adenocarcinoma requiring endoscopic ultrasound with fine needle biopsy or surgery

Description

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • Patient who reject the study protocol

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predictive value of each protein contained in Cytolyt® for the positive diagnosis of pancreatic ductal adenocarcinoma
Time Frame: an average of 1 year
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).
an average of 1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Time Frame: 1 year
Disease-free survival (percentage of patients without recurrence) at 1 year
1 year
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Time Frame: 1 year
Overall survival at 1 year (percentage of patients alive)
1 year
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Time Frame: 1 year
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)
1 year
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Time Frame: 1 year
Overall survival (OS) (time from diagnosis until death, regardless of cause)
1 year
Biomarkers that are prognostically significant on disease free or overall survival in patients with pancreatic cancer, identified using the survival analysis
Time Frame: 1 year
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)).
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2018

Primary Completion (Actual)

January 1, 2019

Study Completion (Estimated)

November 1, 2027

Study Registration Dates

First Submitted

December 13, 2018

First Submitted That Met QC Criteria

December 31, 2018

First Posted (Actual)

January 2, 2019

Study Record Updates

Last Update Posted (Actual)

June 18, 2026

Last Update Submitted That Met QC Criteria

June 17, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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