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International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, and potential outcomes of the intervention.
The SYNERGY Registry is an international prospective, observational cohort study of eligible adult and pediatric pts with advanced solid and hematological malignancies, for whom the decision to consider CTE has already been made by their primary providers (PP). Using a proprietary application programming interface (API) linked to existing electronic health records (EHR) platforms, individual clinical data is extracted, analyzed and matched to a parametric database of existing institutional and non-institutional CT. Machine learning algorithms allow for dynamic matching based on CT allocation and availability for optimized matching. Patients voluntarily enroll into the registry, which is non-interventional with no protocol-mandated tests/procedures - all treatment decisions are made at the discretion of PP in consultation with their pts, based on the AI CT matching report, and VTB support. CTE will be assessed on variables including biomarkers, barriers to enrollment. Study duration anticipated as ~36 mo (~24-mo enrollment followed by 12 mo of data collection, to occur every 3 mo). The primary analysis will be performed 12 mo after last pt enrolled. The impact time to initiation of CTE on PFS and OS will be estimated by Kaplan-Meier and Cox multivariable survival analysis. Enrollment is ongoing, with a target of ≥50,000 patients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study Group | Eligible adult and pediatric pts with advanced solid and hematological malignancies, for whom the decision to consider CTE has already been made by their primary providers (PP). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical Trial Matching | Other | Using a proprietary application programming interface (API) linked to existing electronic health records (EHR) platforms, individual clinical data is extracted, analyzed and matched to a parametric database of existing institutional and non-institutional CT. Machine learning algorithms allow for dynamic matching based on CT allocation and availability for optimized matching. |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of patients Eligible for CTE versus Actual CTE | CTE Accrual | Through study completion, an average of 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Impact of CTE on Overall Survival (OS), estimated by Kaplan-Meier and Cox multivariable survival analysis | OS | 4 years |
| Impact of CTE on Progression-Free Survival (PFS), estimated by Kaplan-Meier and Cox multivariable survival analysis |
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Inclusion Criteria:
These biomarkers should be determined by local laboratory, external vendor, or next generation sequencing platform
Exclusion Criteria:
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Observational cohort study of eligible adult and pediatric pts with advanced solid and hematological malignancies, for whom the decision to consider clinical trial enrollment (CTE) has already been made by their primary providers (PP).
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Fiona Evans, MS | Contact | +1 (844) 627-7246 | fevans@massivebio.com | |
| Diego Barrenechea, MD | Contact | + 1 (646) 586-2753 | dbarrenechea@massivebio.com |
| Name | Affiliation | Role |
|---|---|---|
| Selin Kurnaz, PhD | Massive Bio, Inc. | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Massive Bio SYNERGY-AI site | Recruiting | Birmingham | Alabama | 35294 | United States |
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|
PFS
| 4 years |
| Identification of Barriers to CTE | To identify barriers to accruals to clinical trials, as measured and reported by a questionnaire | Through study completion, an average of 1 year |
| Real World Data Analytics | To Analyze Individual Standard of Care Chemotherapy Utilization (nominal), across treatment lines (numeric); data will be combined and aggregated to report chemotherapy utilization rate (%). | Through study completion, an average of 1 year |
| Virtual Tumor Board Utilization | VTB Use Rate | Through study completion, an average of 1 year |
| Time from Intervention to Actual CTE (months) | Time to CTE | Through study completion, an average of 1 year |
| Massive Bio SYNERGY-AI site | Recruiting | Mobile | Alabama | 36604 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Scottsdale | Arizona | 85260 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Little Rock | Arkansas | 72205 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Duarte | California | 91010 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Irvine | California | 92618 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | La Jolla | California | 92093 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Orange | California | 92868 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | San Francisco | California | 94143 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Stanford | California | 94305 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Aurora | Colorado | 80045 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Denver | Colorado | 80218 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Littleton | Colorado | 80129 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Hartford | Connecticut | 06102 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Norwalk | Connecticut | 06856 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Newark | Delaware | 19713 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Jacksonville | Florida | 32224 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Miami | Florida | 33136 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Tampa | Florida | 33612 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Atlanta | Georgia | 30322 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Savannah | Georgia | 31405 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Boise | Idaho | 83706 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Chicago | Illinois | 60611 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Iowa City | Iowa | 52242 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | New Orleans | Louisiana | 70112 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Scarborough | Maine | 04074 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Baltimore | Maryland | 21218 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Bethesda | Maryland | 20892 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Silver Spring | Maryland | 20904 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Towson | Maryland | 21204 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Worcester | Massachusetts | 01655 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Ann Arbor | Michigan | 48109 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Lansing | Michigan | 48912 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Duluth | Minnesota | 55805 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Hattiesburg | Mississippi | 39401 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Kansas City | Missouri | 64111 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | St Louis | Missouri | 63110 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Billings | Montana | 59102 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Omaha | Nebraska | 68124 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | New Brunswick | New Jersey | 08901 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Albuquerque | New Mexico | 87131 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Buffalo | New York | 14263 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Hempstead | New York | 11042 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Manhasset | New York | 11030 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | New York | New York | 10006 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Staten Island | New York | 10314 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Chapel Hill | North Carolina | 27514 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Winston-Salem | North Carolina | 27157 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Fargo | North Dakota | 58102 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Cincinnati | Ohio | 45219 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Columbus | Ohio | 43210 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Mayfield Heights | Ohio | 44124 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Tulsa | Oklahoma | 74146 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Portland | Oregon | 97239 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Philadelphia | Pennsylvania | 19044 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Providence | Rhode Island | 02903 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Greenville | South Carolina | 29605 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Memphis | Tennessee | 38105 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Nashville | Tennessee | 37203 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Dallas | Texas | 75246 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Houston | Texas | 77030 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Temple | Texas | 76508 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Salt Lake City | Utah | 84112 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Charlottesville | Virginia | 22908 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Seattle | Washington | 98109 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Morgantown | West Virginia | 26506 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | Milwaukee | Wisconsin | 53226 | United States |
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| Massive Bio SYNERGY-AI site | Recruiting | San Juan | 00917 | Puerto Rico |
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| ID | Term |
|---|---|
| D009362 | Neoplasm Metastasis |
| D009369 | Neoplasms |
| D010190 | Pancreatic Neoplasms |
| D008113 | Liver Neoplasms |
| D013274 | Stomach Neoplasms |
| D006528 | Carcinoma, Hepatocellular |
| D012004 | Rectal Neoplasms |
| D007680 | Kidney Neoplasms |
| D004938 | Esophageal Neoplasms |
| D002583 | Uterine Cervical Neoplasms |
| D003110 | Colonic Neoplasms |
| D007822 | Laryngeal Neoplasms |
| D008175 | Lung Neoplasms |
| D001943 | Breast Neoplasms |
| D011471 | Prostatic Neoplasms |
| D006258 | Head and Neck Neoplasms |
| D012878 | Skin Neoplasms |
| D018358 | Neuroendocrine Tumors |
| D002277 | Carcinoma |
| C536928 | Turcot syndrome |
| D008228 | Lymphoma, Non-Hodgkin |
| D007938 | Leukemia |
| D002289 | Carcinoma, Non-Small-Cell Lung |
| D018281 | Cholangiocarcinoma |
| D005909 | Glioblastoma |
| D016543 | Central Nervous System Neoplasms |
| D008545 | Melanoma |
| D002295 | Carcinoma, Transitional Cell |
| D001749 | Urinary Bladder Neoplasms |
| D010051 | Ovarian Neoplasms |
| D016889 | Endometrial Neoplasms |
| D013736 | Testicular Neoplasms |
| D055728 | Primary Myelofibrosis |
| D009196 | Myeloproliferative Disorders |
| D008224 | Lymphoma, Follicular |
| D020522 | Lymphoma, Mantle-Cell |
| D018442 | Lymphoma, B-Cell, Marginal Zone |
| D009190 | Myelodysplastic Syndromes |
| ID | Term |
|---|---|
| D009385 | Neoplastic Processes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D004701 | Endocrine Gland Neoplasms |
| D004066 | Digestive System Diseases |
| D010182 | Pancreatic Diseases |
| D004700 | Endocrine System Diseases |
| D008107 | Liver Diseases |
| D005770 | Gastrointestinal Neoplasms |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D000230 | Adenocarcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D015179 | Colorectal Neoplasms |
| D007414 | Intestinal Neoplasms |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D014571 | Urologic Neoplasms |
| D014565 | Urogenital Neoplasms |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052801 | Male Urogenital Diseases |
| D004935 | Esophageal Diseases |
| D014594 | Uterine Neoplasms |
| D005833 | Genital Neoplasms, Female |
| D002577 | Uterine Cervical Diseases |
| D014591 | Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D000091662 | Genital Diseases |
| D003108 | Colonic Diseases |
| D010039 | Otorhinolaryngologic Neoplasms |
| D007818 | Laryngeal Diseases |
| D012140 | Respiratory Tract Diseases |
| D012142 | Respiratory Tract Neoplasms |
| D010038 | Otorhinolaryngologic Diseases |
| D013899 | Thoracic Neoplasms |
| D008171 | Lung Diseases |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D005834 | Genital Neoplasms, Male |
| D005832 | Genital Diseases, Male |
| D011469 | Prostatic Diseases |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009380 | Neoplasms, Nerve Tissue |
| D008223 | Lymphoma |
| D008232 | Lymphoproliferative Disorders |
| D008206 | Lymphatic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D007160 | Immunoproliferative Disorders |
| D007154 | Immune System Diseases |
| D006402 | Hematologic Diseases |
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D001254 | Astrocytoma |
| D005910 | Glioma |
| D018302 | Neoplasms, Neuroepithelial |
| D009423 | Nervous System Neoplasms |
| D009422 | Nervous System Diseases |
| D018326 | Nevi and Melanomas |
| D001745 | Urinary Bladder Diseases |
| D010049 | Ovarian Diseases |
| D000291 | Adnexal Diseases |
| D006058 | Gonadal Disorders |
| D013733 | Testicular Diseases |
| D001855 | Bone Marrow Diseases |
| D016393 | Lymphoma, B-Cell |
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