NCT03688906

Brief Summary

Freenome is using a type of artificial intelligence, called machine learning, to identify patterns of cell-free biomarkers in blood to detect cancer early. The purpose of this study is to develop and validate a blood-based assay to detect colorectal cancer by collecting blood and stool samples from healthy patients undergoing routine screening colonoscopy and from patients recently diagnosed with colorectal cancer or advanced adenomas.

Trial Health

90
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
3,275

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2018

Geographic Reach
2 countries

30 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 12, 2018

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

August 27, 2018

Completed
1 month until next milestone

First Posted

Study publicly available on registry

September 28, 2018

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 25, 2019

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 25, 2019

Completed
Last Updated

March 2, 2022

Status Verified

February 1, 2022

Enrollment Period

1.9 years

First QC Date

August 27, 2018

Last Update Submit

February 14, 2022

Conditions

Keywords

Liquid biopsyBlood test cancerCancer diagnosticGenomicsGenomic testAI genomicsCRCCancer screening

Outcome Measures

Primary Outcomes (1)

  • Diagnosis of colorectal cancer or advanced adenomas in patients undergoing routine screening colonoscopy, or post-colonoscopy

    Clinically annotated plasma samples from participants will undergo multi-omic analyses to characterize cell-free biomarkers.

    6 months

Study Arms (3)

Cohort A

Blood and stool specimen collection. Study samples must be collected prior to any treatment.

Cohort B

Blood and stool specimen collection. Samples must be collected prior to performing bowel preparation for the colonoscopy.

Cohort C

Blood and stool specimen collection. Study samples must be collected prior to any treatment.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Subjects for the study will be enrolled into three cohorts: * Cohort (A): People ages 50-84 who have been recently diagnosed with (or strong clinical suspicion for) colorectal cancer or advanced adenoma. Blood samples must be collected before any cancer treatment has been initiated. * Cohort (B): People ages 50-84 undergoing routine screening colonoscopies for colorectal cancer as part of their regular medical check-ups. Blood samples must be collected before bowel preparation for the colonoscopy. * Cohort (C): People 18 years or older who have been recently diagnosed with (or strong clinical suspicion for) colorectal cancer or advanced adenoma. Blood samples must be collected before any cancer treatment has been initiated.

You may qualify if:

  • years of age (inclusive) at the time of screening
  • Recently diagnosed with (or strong clinical suspicion for) primary colorectal cancer or advanced adenoma with plans to surgically or endoscopically remove the target lesion(s)
  • At least 7 days before but no more than 6 months after the most recent colonoscopy
  • Able and willing to provide blood and stool (optional) samples per protocol
  • Able to comprehend and willing to sign and date the written informed consent document(s) and any applicable medical record release documents for the study

You may not qualify if:

  • Personal history of colorectal cancer, colorectal adenomas (excluding non-adenomatous (e.g., hyperplastic polyps)) or aerodigestive tract cancer (other than most recent diagnosis)
  • Colonoscopy within the previous 9 years (other than most recent diagnosis)
  • Overt rectal bleeding within the previous 30 days
  • Have a medical condition which, in the opinion of the investigator, should preclude enrollment into the study.
  • Have participated or be currently participating in a clinical research study in which an experimental medication has been administered during the 60 days up to and including the date of providing informed consent or may be administered through the time of the colonoscopy.
  • If female, known to be pregnant.
  • COHORT B
  • years of age (inclusive) at the time of screening
  • Planning to undergo a screening colonoscopy within 75 days after providing signed informed consent
  • Able and willing to provide blood and stool (optional) samples per protocol
  • Able to comprehend and willing to sign and date the written informed consent document(s) and any applicable medical record release documents for the study
  • Personal history of colorectal cancer, colorectal adenoma (excluding non-adenomatous (e.g., hyperplastic polyps)) or aerodigestive tract cancer
  • Colonoscopy within the previous 9 years
  • Overt rectal bleeding within the previous 30 days
  • Have a medical condition which, in the opinion of the investigator, should preclude enrollment into the study.
  • +11 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (30)

Clinical Research Associates

Huntsville, Alabama, 35801, United States

Location

Del Sol Research Management

Chandler, Arizona, 85224, United States

Location

Del Sol Research Management,

Tucson, Arizona, 85710, United States

Location

Del Sol Research Management

Tucson, Arizona, 85745, United States

Location

Preferred Research Partners

Little Rock, Arkansas, 72211, United States

Location

Precision Research Institute

Chula Vista, California, 91910, United States

Location

Diverse Research Solutions

Oxnard, California, 93030, United States

Location

Precision Research Institute

San Diego, California, 92114, United States

Location

Gastroenterology Associates of Fairfield County

Bridgeport, Connecticut, 06606, United States

Location

Palmetto Research

Hialeah, Florida, 33016, United States

Location

Clinical Research of Homestead

Homestead, Florida, 33030, United States

Location

Advanced Gastroenterology Associates, LLC

Palm Harbor, Florida, 34684, United States

Location

Rockford Gastroenterology

Rockford, Illinois, 61107, United States

Location

Delta Research Partners

Bastrop, Louisiana, 71220, United States

Location

New Orleans Research Institute

Metairie, Louisiana, 70006, United States

Location

Louisiana Research Center

Shreveport, Louisiana, 71105, United States

Location

Commonwealth Clinical Studies

Brockton, Massachusetts, 02302, United States

Location

Quality Clinical Research

Omaha, Nebraska, 68114, United States

Location

Asheville Gastroenterology Associates

Asheville, North Carolina, 28801, United States

Location

University of North Carolina at Chapel Hill

Chapel Hill, North Carolina, 27599, United States

Location

Cumberland Research Associates

Fayetteville, North Carolina, 28304, United States

Location

Wake Research Associates

Raleigh, North Carolina, 27612, United States

Location

Trial Management Associates

Wilmington, North Carolina, 28403, United States

Location

The Jackson Clinic

Jackson, Tennessee, 38305, United States

Location

Advanced Research Institute

Ogden, Utah, 84405, United States

Location

Gastroenterology Associates of Tidewater

Chesapeake, Virginia, 23320, United States

Location

Verity Research Inc

Fairfax, Virginia, 22031, United States

Location

Digestive and Liver Disease Specialists

Norfolk, Virginia, 23502, United States

Location

Washington Gastroenterology

Bellevue, Washington, 98004, United States

Location

Forzani and MacPhail Colon Cancer Screening Centre

Calgary, Alberta, T2N 4Z6, Canada

Location

Related Publications (1)

  • Putcha G, Liu T-Y, Ariazi E, Bertin M, Drake A, Dzamba M, Hogan G, Kothen-Hill S, Liao J, Li K, Mahajan S, Palaniappan K, Sansanwal P, St John J, Ulz P, Wan N, Warsinske H, Weinberg D, Yang R, Lin J. Blood-based detection of early-stage colorectal cancer using multiomics and machine learning. [Abstract] J Clin Oncol 38 (Suppl 4): A-66, 2020.

    RESULT

MeSH Terms

Conditions

Colonic NeoplasmsRectal NeoplasmsColorectal NeoplasmsPolypsColonic PolypsAdenoma

Condition Hierarchy (Ancestors)

Intestinal NeoplasmsGastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesColonic DiseasesIntestinal DiseasesRectal DiseasesPathological Conditions, AnatomicalPathological Conditions, Signs and SymptomsIntestinal PolypsNeoplasms, Glandular and EpithelialNeoplasms by Histologic Type

Study Officials

  • Girish Putcha, M.D., Ph.D

    Freenome Holdings Inc.

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
PROSPECTIVE
Target Duration
6 Months
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 27, 2018

First Posted

September 28, 2018

Study Start

January 12, 2018

Primary Completion

November 25, 2019

Study Completion

November 25, 2019

Last Updated

March 2, 2022

Record last verified: 2022-02

Locations