Actively Recruiting

Age: 18Years +
All Genders
ID05625529

ExoLuminate Study: Observational Registry to Assess Exo-PDAC Assay for Detecting Pancreatic Adenocarcinoma in High-Risk or Suspicious Patients

Led by Biological Dynamics · Updated on 2025-07-28

1000

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating a new blood test called the ExoVerita12 assay for early detection of pancreatic ductal adenocarcinoma (PDAC) in people at high risk or showing clinical signs suspicious for this cancer. This observational registry study aims to compare the performance of this test with current standard methods used to monitor and detect PDAC. The study is designed to include adults across the U.S. who have risk factors such as family history, genetic mutations, or pancreatic cysts, and will follow them over time for diagnosis outcomes. The ExoVerita12 assay uses an advanced technique to isolate extracellular vesicles from blood samples and applies a machine learning algorithm to identify specific protein markers linked to early-stage PDAC. Participants will be divided into different cohorts based on their risk factors or clinical history, including those with genetic mutations, family history, pancreatic cysts, pancreatitis, or early-stage PDAC suspicion. Blood samples will be collected at scheduled intervals to evaluate the test's ability to detect cancer early compared to standard surveillance. Participants will provide blood samples for the ExoVerita12 assay and may be monitored for up to 36 months or until diagnostic resolution. The study includes collection of medical history and follow-up data to assess the test's clinical performance and any shifts in cancer stage at diagnosis. The study poses minimal risk and does not involve investigational treatment. Data from this study will help understand how well this blood test works in detecting pancreatic cancer earlier in high-risk individuals.

CONDITIONS

Brief Title

ExoLuminate Study for Early Detection of Pancreatic Cancer

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • 18 years old or older
  • Meet criteria for one of the study cohorts based on family history, genetic risk, personal health history, or clinical suspicion
  • Able to give informed consent
  • Able to provide a blood sample
Not Eligible

You will not qualify if you...

  • Under 18 years old
  • Pregnant
  • Active cancer other than pancreatic cancer or currently receiving cancer treatment (except skin cancers)
  • Prior organ or bone marrow transplant
  • History of fainting or adverse reactions when blood is drawn
  • Any condition that the investigator believes should prevent enrollment

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Monitoring

Duration - Up to 3 years or until diagnostic resolution

Participants are observed over time through scheduled blood donations to evaluate the ExoVerita™ assay for early detection of pancreatic cancer.

Blood donations at specified time intervals over the study period

Long-term Monitoring

Duration - Up to 2 years following initial monitoring

Participants continue to be monitored for up to 2 years after initial evaluation for additional data collection.

Periodic blood sample collections during follow-up

Trial Site Locations

Total: 1 location

1

Biological Dynamics

San Diego, California, United States, 92121

Actively Recruiting

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Research Team

H

Harmeet Dhani, MD, M.Sc

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

8

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Published Research Related To This Trial

Development of a blood-based extracellular vesicle classifier for detection of early-stage pancreatic ductal adenocarcinoma.

Juan Pablo Hinestrosa, Rosalie C Sears, Harmeet Dhani...

https://pubmed.ncbi.nlm.nih.gov/37857666