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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.
Early detection of cancer combined with effective treatment improves survival and quality of life. Freenome is using a type of artificial intelligence, called machine learning, to identify patterns of cell-free biomarkers in the blood to detect cancer early. The purpose of this study is to develop and validate a blood-based assay for the early detection of colorectal cancer. The study will collect blood and stool samples from healthy patients undergoing routine screening colonoscopy and from patients recently diagnosed with colorectal cancer or advanced adenomas. A blood-based test for colorectal cancer and pre-cancerous lesions could offer an accurate, convenient, and patient-friendly screening option for current and future generations, and, in doing so, could save and improve lives by increasing adherence and early detection.
Freenome is looking for three types of patients in this study:
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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COHORT A
Inclusion Criteria:
Key Exclusion Criteria:
COHORT B
Inclusion Criteria:
Key Exclusion Criteria:
COHORT C
Inclusion Criteria:
Exclusion Criteria:
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Subjects for the study will be enrolled into three cohorts:
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| Name | Affiliation | Role |
|---|---|---|
| Girish Putcha, M.D., Ph.D | Freenome Holdings Inc. | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Clinical Research Associates | Huntsville | Alabama | 35801 | United States | ||
| Del Sol Research Management |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Result | 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. |
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| Chandler |
| Arizona |
| 85224 |
| United States |
| Del Sol Research Management, | Tucson | Arizona | 85710 | United States |
| Del Sol Research Management | Tucson | Arizona | 85745 | United States |
| Preferred Research Partners | Little Rock | Arkansas | 72211 | United States |
| Precision Research Institute | Chula Vista | California | 91910 | United States |
| Diverse Research Solutions | Oxnard | California | 93030 | United States |
| Precision Research Institute | San Diego | California | 92114 | United States |
| Gastroenterology Associates of Fairfield County | Bridgeport | Connecticut | 06606 | United States |
| Palmetto Research | Hialeah | Florida | 33016 | United States |
| Clinical Research of Homestead | Homestead | Florida | 33030 | United States |
| Advanced Gastroenterology Associates, LLC | Palm Harbor | Florida | 34684 | United States |
| Rockford Gastroenterology | Rockford | Illinois | 61107 | United States |
| Delta Research Partners | Bastrop | Louisiana | 71220 | United States |
| New Orleans Research Institute | Metairie | Louisiana | 70006 | United States |
| Louisiana Research Center | Shreveport | Louisiana | 71105 | United States |
| Commonwealth Clinical Studies | Brockton | Massachusetts | 02302 | United States |
| Quality Clinical Research | Omaha | Nebraska | 68114 | United States |
| Asheville Gastroenterology Associates | Asheville | North Carolina | 28801 | United States |
| University of North Carolina at Chapel Hill | Chapel Hill | North Carolina | 27599 | United States |
| Cumberland Research Associates | Fayetteville | North Carolina | 28304 | United States |
| Wake Research Associates | Raleigh | North Carolina | 27612 | United States |
| Trial Management Associates | Wilmington | North Carolina | 28403 | United States |
| The Jackson Clinic | Jackson | Tennessee | 38305 | United States |
| Advanced Research Institute | Ogden | Utah | 84405 | United States |
| Gastroenterology Associates of Tidewater | Chesapeake | Virginia | 23320 | United States |
| Verity Research Inc | Fairfax | Virginia | 22031 | United States |
| Digestive and Liver Disease Specialists | Norfolk | Virginia | 23502 | United States |
| Washington Gastroenterology | Bellevue | Washington | 98004 | United States |
| Forzani and MacPhail Colon Cancer Screening Centre | Calgary | Alberta | T2N 4Z6 | Canada |
| ID | Term |
|---|---|
| D003110 | Colonic Neoplasms |
| D012004 | Rectal Neoplasms |
| D015179 | Colorectal Neoplasms |
| D011127 | Polyps |
| D003111 | Colonic Polyps |
| D000236 | Adenoma |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D007417 | Intestinal Polyps |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
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