This is a prospective, non-randomized, observational registry study evaluating a patient-specific ex vivo 3D (EV3D) assay for drug response using a patient's own biopsy or resected tumor tissue for assessing tissue response to therapy in patients with advanced cancers, including ovarian cancer, high-grade gliomas, and high-grade rare tumors.
This protocol defines a prospective, open-label, multi-institutional, non-interventional study for the purpose of examining the Assay's clinical use and potential to impact patient outcomes. This Study will establish a registry of clinical parameters, including clinical response, clinical outcomes, Assay performance and potential utilization across multiple types of advanced cancers in consenting patients who have their tumor tissue tested by the Assay. Physicians may have access to Assay results which which predict therapeutic response to cancer drugs most often prescribed to treat the specified indications. For cancers with standard of care (SOC) cancer drug treatments, the Assay panel tests SOC systemic agents per NCCN guidelines, some of which may include both FDA approved and off-label FDA approved therapies. The Assay currently assesses the most common cancer drugs across multiple tumor types. It requires freshly obtained tumor specimen that has not been previously preserved for traditional histologic analysis. The Registry will focus initially on tumor types and agents which have been analytically validated with the Assay and determined to meet strict laboratory qualifications and standards. The Registry will collect data on a limited number of cancer types to include epithelial ovarian cancer (EOC), high-grade gliomas (HGG) limited to anaplastic astrocytoma (AA) and glioblastoma multiforme (GBM), and high-grade rare tumors (RT).
Study Type
OBSERVATIONAL
Enrollment
570
The EV3D assay uses freshly obtained tumor specimen to predict tissue drug response.
University of Arkansas for Medical Sciences, Winthrop P. Rockefeller Cancer Institute
Little Rock, Arkansas, United States
University of California, San Francisco
San Francisco, California, United States
Capital Health Institute for Neurosciences
Trenton, New Jersey, United States
Establish correlation of Assay results with patient outcomes
Compare Assay results to reported patient outcomes
Time frame: 2 year
Evaluate the use of Assay results and the effects on medical decision-making and patient outcomes
Determine potential effect of Assay results on treatment plan
Time frame: 2 year
Compare clinical response (progression free survival or time to progression) in patients who receive treatment aligned with Assay results of response versus patients who are not treated aligned with Assay results of response
Compare Assay results to study patient clinical response
Time frame: 2 years
Compare clinical response (progression free survival or time to progression) in patients who receive treatment aligned with Assay results of response versus historical response rates
Compare Assay results to historical clinical response rates
Time frame: 2 years
Compare clinical outcomes (event free survival and overall survival) in patients who are treated aligned with Assay results versus historical response rates
Compare survival of study patients aligned with Assay results to historical survival rates
Time frame: 2 years
Define Assay success across histologic subtypes and classes of anti-cancer compounds
Evaluate Assay success rate
Time frame: 2 years
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Roswell Park Cancer Institute
Buffalo, New York, United States
Oregon Health & Science University
Portland, Oregon, United States
Veterans Administration Portland Health Care System
Portland, Oregon, United States
Penn State Health, Milton S. Hershey Medical Center
Hershey, Pennsylvania, United States
Prisma Health
Greenville, South Carolina, United States
Inova Fairfax Hospital
Falls Church, Virginia, United States