Non-invasive Liquid Biopsy Analysis of Epigenomics Signatures in Multiple Cancer Types

April 29, 2022 updated by: ClearNote Health
Bluestar Genomics is developing a test from whole blood for the early detection of multiple cancers. The goal of this study is to employ genomics, epigenomics and proteomics methodology for the detection of cancer signal in the blood of subjects with solid tumors. The study will include subjects without cancers that will be followed up every 6-months for up to 3-years from blood draw.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

Epigenomic changes in cancer cells can provide a rich source of biomarker signals for the detection of disease. As cancer cells manifest their epigenomic changes in blood due to cell death, DNA and protein molecules can be probed using specific molecular analytic approaches. Bluestar Genomics employs epigenomic technologies to measure dynamic changes in DNA demethylation events via direct measurement of 5-hydroxymethyl-cytosine residues in cfDNA. Companion assays are also run to provide information on cfDNA digestion patterns and protein-based changes in plasma. This information, combined in a machine learning framework, enable the provision of prediction models that report on the presence of cancer and the determination of the tissue of tumor origin. This study will build predictive models and test performance of these models to detect the presence of cancer and tissue of origin in several cancer type by using a matched case-control study design.

Study Type

Observational

Enrollment (Anticipated)

6500

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 Locations

    • California
      • San Diego, California, United States, 92121

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

45 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Both study groups enrolled at medical centers across the United States

Description

Inclusion Criteria

  1. Subjects must be between 45 - 75 years of age at the time of enrollment
  2. Patient fully consented
  3. Cancer diagnosis OR high clinical suspicion for cancer, based on the participating site's and practitioner's standards of care (SOC)
  4. No previous history of cancer and treatment naïve at time of enrollment

Exclusion Criteria

  1. Age < 45 OR > 75 years of age
  2. Any prior cancer diagnosis with or without treatment (with the exception of non-melanoma skin cancers resolved/treated > 1 year prior to enrollment)
  3. Receipt of any cancer therapy including chemotherapy, radiation, palliative radiation, hormonal or naturopathic therapies
  4. In situ carcinoma without an invasive component
  5. Any surgery requiring general anesthesia within 2 months of collection. Anesthesia used in procedures such as colonoscopy and EBUS is acceptable.
  6. Dental Novocain within 1 week of collection
  7. Receipt of systemic immunomodulation therapy within past 12 months
  8. Currently pregnant, or pregnancy within last 12 months
  9. Organ transplantation
  10. Received dialysis
  11. Blood transfusion within 1 month
  12. HIV/AIDs, Hepatitis A, D, or E, TB, any kind of prion disorder (e.g., CJD) or other infectious pathogens currently present or present in past 5 years.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Non-cancer
3,250 asymptomatic individuals without prior history of cancer
Blood Draw
Cancer
3,250 individuals with confirmed malignancy
Blood Draw

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Detection of cancer signal in the cancer cohort
Time Frame: 1 year
Evaluation of genomics, proteomic and epigenomics signals, such as 5-hydroxymethylcytosine (5hmC), contained in plasma, in comparison to these signals in plasma from non-cancer controls
1 year
Detection of tissue of origin signal in the cancer cohort
Time Frame: 1 year
Evaluation of genomics, proteomic and epigenomics signals, such as 5-hydroxymethylcytosine (5hmC), contained in plasma, in comparison to these signals from non-cancer controls
1 year

Collaborators and Investigators

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

Investigators

  • Study Director: Samuel Levy, Ph.D., ClearNote Health

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)

April 5, 2018

Primary Completion (Anticipated)

June 13, 2023

Study Completion (Anticipated)

September 13, 2023

Study Registration Dates

First Submitted

March 5, 2019

First Submitted That Met QC Criteria

March 8, 2019

First Posted (Actual)

March 11, 2019

Study Record Updates

Last Update Posted (Actual)

May 5, 2022

Last Update Submitted That Met QC Criteria

April 29, 2022

Last Verified

April 1, 2022

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • MT1410

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug 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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