Observational Study of Exai oncRNA Blood Test for Cancer Detection
This study is looking at a new blood test called the Exai oncRNA blood test to find cancer early. Researchers believe that special small noncoding RNAs (oncRNAs) are found in the blood of people with cancer but not in healthy people. By using artificial intelligence (AI) and machine learning (ML), they hope to find unique cancer patterns in these oncRNAs. The goal is to make this blood test better at finding cancer and to improve how well it works. You can join if you are 18 or older, are willing to give informed consent, and can have about 2-3 tablespoons of blood drawn. This study is currently observational, meaning it's focused on gathering information rather than testing a treatment.
- Study design
- This is an observational study aiming to enroll 2400 participants. It is not specified if it is randomized or blinded.
- What's involved
- You would need to provide informed consent and have approximately 40 ml (about 2-3 tablespoons) of blood drawn by a phlebotomist.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary goals of the study will be measured at seven years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Prospective Study of oncRNA Stratification of Cancer by Size and Stage
At a glance
Conditions
Where it's being run
2 sites across 2 statesStudy leadership
- Lee Schwartzberg, MD · PRINCIPAL_INVESTIGATOR · Exai Bio Inc.
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Optimize non-invasive cancer biomarker tests based on its small noncoding (snc)RNA technologySeven years
Analyze small noncoding (snc)RNA profiles differentially expressed in specimens obtained from case and control subjects to identify candidate sncRNA biomarkers for use in deriving and optimizing oncRNA diagnostic models for multiple cancer applications, including screening, early diagnosis, minimal residual disease and monitoring for tumor recurrence
- Optimize oncRNA test clinical performanceSeven years
Assess small noncoding (snc)RNA profiles potentially associated with demographic parameters, medication use, comorbid conditions, and/or cancer-predisposing conditions which might overlap with candidate cancer biomarkers to optimize oncRNA model clinical specificity performance, i.e., minimize false positives.