Prospective Study of oncRNA Stratification of Cancer by Size and Stage
Purpose
Cancer strikes about one in three women and one in two men in the U.S. and more than 600,000 die from it each year. The best chance to reduce these numbers and save lives is through early detection and intervention. The investigators are developing a blood test to detect cancer from a simple blood draw also referred to as a liquid biopsy. This test is based on orphan non-coding RNAs (oncRNAs) that are abundant in the blood of patients with cancer and largely absent in people without cancer. Using artificial intelligence (AI) and machine learning (ML) investigators are able to interpret the thousands of oncRNAs found in the blood of patients with cancer by identifying unique, cancer-specific patterns. oncRNA patterns can be used to detect several types of cancer and detect cancer at the earliest stages. This is a prospective, observational study to collect blood samples and medical information from participants with and without cancer to represent the population in the USA. The investigators have designed the study to include participants without cancer, participants with conditions that are a predisposition for cancer, participants with pre-malignant lesions, and participants with cancer. Patients with a wide variety of cancers are going to be included i.e. bladder, breast, colorectal, esophageal, gastric, kidney, liver, lung, ovarian, pancreatic, prostate, and uterine cancer. Each participant will be asked to donate a small blood sample and to share their medical information. The participant's medical information will be updated during the course of the study. The blood will be tested for oncRNA. The objective is to create a blood repository and associated medical database to develop a blood test for cancer, for different cancer types. The study is designed to be inclusive and represent the population in America. If this study is successful, the results will enable a world where cancer can be detected early with a simple blood test and diagnosed accurately, with better chances of cure. The investigators believe this study has the potential to transform cancer detection in America.
Condition
- Cancer
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- Age ≥18 years - Able and willing to provide informed consent - Able and willing to have 35-40 mL of whole blood drawn
Exclusion Criteria
- Age <18 years - Prior history of cancer, except for non-melanoma skin cancer - Prior history of receipt of any blood products within 30 days of enrollment - Receipt of any cancer therapy, e.g., surgical, radiation, or medical including neoadjuvant treatment, prior to study enrollment - Prior history of receipt of any non-cancer system immune modulation therapy within the last 60 days (ex: monoclonal antibodies) - Prior history of organ transplantation - Current or prior pregnancy within the last 12 months - Unable or unwilling to provide informed consent
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
| Control Cohort | Participants without cancer, with general medical comorbidities |
|
| Cancer Predisposition Cohort | Participants without cancer, with comorbidities that induce cancer predisposition. |
|
| Pre-Malignant Condition Cohort | Participants without cancer, with pre-malignant conditions |
|
| Cancer Patients Cohort | Participants with a cancer diagnosis. |
|
Recruiting Locations
Palo Alto 5380748, California 5332921 94303
Reno 5511077, Nevada 5509151 89502
More Details
- NCT ID
- NCT05833360
- Status
- Recruiting
- Sponsor
- Exai Bio Inc.