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GRAIL is using high-intensity sequencing of circulating cell-free nucleic acids (cfNAs) to develop blood tests to detect cancer early. The purpose of this study is to validate the ability of the pre-specified GRAIL Test to detect breast cancer and other invasive cancers, including hematologic malignancies, that will occur within one year of the first study blood draw.
Detection of early stage cancer may be possible through analysis of circulating cell-free nucleic acids (cfNAs) shed into the blood by tumors. GRAIL is using high-intensity sequencing (based on broad genomic coverage and deep sequencing) of cfNAs, combined with machine learning, to develop blood tests to detect cancer early. The purpose of this prospective, multi-center, observational cohort study is to validate an assay for the early detection of breast cancer and other invasive cancers, including hematologic malignancies. The study will collect blood samples from participants within 28 days of their screening mammogram. Additional blood samples will also be collected for a subset of participants. For participants who receive a cancer diagnosis during the study, archival tissue samples will be collected.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Prospective Cohort | This is a prospectively enrolling cohort study with a pre-specified molecular analysis plan. A stratified case-cohort design will be employed to select cancer cases and non-cancer subjects who will be assayed. All cases of cancer (breast and non-breast cancer) will be selected. A random subset of the overall study cohort will also be selected. |
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| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the performance of the pre-specified GRAIL Test to detect invasive cancers (including hematologic malignancies). | From date of first blood draw until first documented invasive cancer diagnosis, assessed up to 30 Months | |
| To refine the predictive algorithms and cut points of the GRAIL test to detect breast and other invasive cancers (including hematologic malignancies). | From date of first blood draw until first documented invasive cancer diagnosis, assessed up to 30 Months |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnosis of invasive cancers, including hematologic malignancies, diagnosed in To evaluate the performance of the GRAIL Test to detect invasive cancers in clinically meaningful subgroups. | sequencing to characterize cfNA profiles. | From date of first blood draw until first documented invasive cancer diagnosis, assessed up to 30 Months |
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Inclusion Criteria:
Exclusion Criteria:
None.
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This multi-center study aims to enroll approximately 100,000 women undergoing mammography for screening indications and associated medical care from participating study centers.
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| Name | Affiliation | Role |
|---|---|---|
| GRAIL Study Director | GRAIL, Inc. | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic | Phoenix | Arizona | 85054 | United States | ||
| Scottsdale Medical Imaging Research |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33506766 | Derived | Liu MC, Oxnard GR, Klein EA, Swanton C, Seiden MV; CCGA Consortium. Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA. Ann Oncol. 2020 Jun;31(6):745-759. doi: 10.1016/j.annonc.2020.02.011. Epub 2020 Mar 30. |
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| Diagnosis of invasive cancers, including hematologic malignancies, diagnosed in 6-month time windows (e.g. 0-6 months, >6-12 months, >12-18 months, >18-24 months). |
| From date of first blood draw until first documented invasive cancer diagnosis, assessed up to 30 Months |
| Scottsdale |
| Arizona |
| 85258 |
| United States |
| Sutter Health | Elk Grove | California | 95758 | United States |
| Sutter Health | Folsom | California | 95630 | United States |
| Sutter Health | Mountain View | California | 94040 | United States |
| Sutter Health | Oakland | California | 94609 | United States |
| Sutter Health | Palo Alto | California | 94301 | United States |
| Sutter Health | Roseville | California | 95661 | United States |
| Sutter Health | Sacramento | California | 95816 | United States |
| Sutter Health | San Francisco | California | 94118 | United States |
| Sutter Health | San Mateo | California | 94401 | United States |
| Sutter Health | Santa Cruz | California | 95062 | United States |
| Sutter Health | Santa Rosa | California | 95403 | United States |
| Mayo Clinic | Jacksonville | Florida | 32224 | United States |
| Sarah Cannon Research Institute | Snellville | Georgia | 30078 | United States |
| Sarah Cannon Research Institute | Overland Park | Kansas | 66209 | United States |
| Henry Ford Health System | Dearborn | Michigan | 48126 | United States |
| Henry Ford Health System | Detroit | Michigan | 48202 | United States |
| Henry Ford Health System | Grosse Pointe Farms | Michigan | 48326 | United States |
| Henry Ford Health System | Livonia | Michigan | 48150 | United States |
| Mayo Clinic | Rochester | Minnesota | 32224 | United States |
| Sarah Cannon Research Institute | Independence | Missouri | 64057 | United States |
| Cleveland Clinic | Avon | Ohio | 44011 | United States |
| Cleveland Clinic | Beachwood | Ohio | 44122 | United States |
| Cleveland Clinic | Cleveland | Ohio | 44195 | United States |
| Sarah Cannon Research Institute | Charleston | South Carolina | 29406 | United States |
| Sarah Cannon Research Institute | Hermitage | Tennessee | 37076 | United States |
| Sarah Cannon Research Institute | Nashville | Tennessee | 37203 | United States |
| Sarah Cannon Research Institute | McKinney | Texas | 75069 | United States |
| Sarah Cannon Research Institute | Salt Lake City | Utah | 84124 | United States |
| Sarah Cannon Research Institute | Richmond | Virginia | 23229 | United States |
| Sarah Cannon Research Institute | Richmond | Virginia | 23235 | United States |
| Sarah Cannon Research Institute | Salem | Virginia | 24153 | United States |
| Mayo Clinic | Eau Claire | Wisconsin | 54702 | United States |
| Mayo Clinic | La Crosse | Wisconsin | 54601 | United States |
| ID | Term |
|---|---|
| D009369 | Neoplasms |
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